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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
TITLE: Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer Learning
ABSTRACT: Pathology diagnosis based on EEG signals and decoding brain activity holds
immense importance in understanding neurological disorders. With the
advancement of artificial intelligence methods and machin... | {
"abstract": "Pathology diagnosis based on EEG signals and decoding brain activity holds\nimmense importance in understanding neurological disorders. With the\nadvancement of artificial intelligence methods and machine learning techniques,\nthe potential for accurate data-driven diagnoses and effective treatments ha... | null | null | no_new_dataset | admin | null | false | null | 42dfbf23-60ae-415f-a73f-e934204e0d77 | null | Validated | 2023-10-04 15:19:51.863444 | {
"text_length": 1725
} | 1no_new_dataset |
TITLE: NEREL-BIO: A Dataset of Biomedical Abstracts Annotated with Nested Named Entities
ABSTRACT: This paper describes NEREL-BIO -- an annotation scheme and corpus of PubMed
abstracts in Russian and smaller number of abstracts in English. NEREL-BIO
extends the general domain dataset NEREL by introducing domain-speci... | {
"abstract": "This paper describes NEREL-BIO -- an annotation scheme and corpus of PubMed\nabstracts in Russian and smaller number of abstracts in English. NEREL-BIO\nextends the general domain dataset NEREL by introducing domain-specific entity\ntypes. NEREL-BIO annotation scheme covers both general and biomedical ... | null | null | new_dataset | admin | null | false | null | 17db3f79-0176-40de-8448-c76da8578952 | null | Validated | 2023-10-04 15:19:51.883373 | {
"text_length": 1294
} | 0new_dataset |
TITLE: Crime Prediction using Machine Learning with a Novel Crime Dataset
ABSTRACT: Crime is an unlawful act that carries legal repercussions. Bangladesh has a
high crime rate due to poverty, population growth, and many other
socio-economic issues. For law enforcement agencies, understanding crime
patterns is essenti... | {
"abstract": "Crime is an unlawful act that carries legal repercussions. Bangladesh has a\nhigh crime rate due to poverty, population growth, and many other\nsocio-economic issues. For law enforcement agencies, understanding crime\npatterns is essential for preventing future criminal activity. For this\npurpose, the... | null | null | new_dataset | admin | null | false | null | 10f466ee-7a83-42d0-911f-27a639abf0ee | null | Validated | 2023-10-04 15:19:51.883184 | {
"text_length": 1679
} | 0new_dataset |
TITLE: SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects
ABSTRACT: Despite the progress we have recorded in the last few years in multilingual
natural language processing, evaluation is typically limited to a small set of
languages with available datasets... | {
"abstract": "Despite the progress we have recorded in the last few years in multilingual\nnatural language processing, evaluation is typically limited to a small set of\nlanguages with available datasets which excludes a large number of low-resource\nlanguages. In this paper, we created SIB-200 -- a large-scale ope... | null | null | new_dataset | admin | null | false | null | 784adf59-a3bb-4781-8112-38379a7d642d | null | Validated | 2023-10-04 15:19:51.863592 | {
"text_length": 1740
} | 0new_dataset |
TITLE: Artificial Empathy Classification: A Survey of Deep Learning Techniques, Datasets, and Evaluation Scales
ABSTRACT: From the last decade, researchers in the field of machine learning (ML) and
assistive developmental robotics (ADR) have taken an interest in artificial
empathy (AE) as a possible future paradigm f... | {
"abstract": "From the last decade, researchers in the field of machine learning (ML) and\nassistive developmental robotics (ADR) have taken an interest in artificial\nempathy (AE) as a possible future paradigm for human-robot interaction (HRI).\nHumans learn empathy since birth, therefore, it is challenging to inst... | null | null | no_new_dataset | admin | null | false | null | 9d5c5ecc-2d4b-4911-915c-e668da3f6d16 | null | Validated | 2023-10-04 15:19:51.863813 | {
"text_length": 1824
} | 1no_new_dataset |
TITLE: Defectors: A Large, Diverse Python Dataset for Defect Prediction
ABSTRACT: Defect prediction has been a popular research topic where machine learning
(ML) and deep learning (DL) have found numerous applications. However, these
ML/DL-based defect prediction models are often limited by the quality and size
of th... | {
"abstract": "Defect prediction has been a popular research topic where machine learning\n(ML) and deep learning (DL) have found numerous applications. However, these\nML/DL-based defect prediction models are often limited by the quality and size\nof their datasets. In this paper, we present Defectors, a large datas... | null | null | new_dataset | admin | null | false | null | 22fdc178-4a7f-4574-b86b-5e3b7bd01a7c | null | Validated | 2023-10-04 15:19:51.880607 | {
"text_length": 1043
} | 0new_dataset |
TITLE: ESTER: A Machine Reading Comprehension Dataset for Event Semantic Relation Reasoning
ABSTRACT: Understanding how events are semantically related to each other is the
essence of reading comprehension. Recent event-centric reading comprehension
datasets focus mostly on event arguments or temporal relations. Whil... | {
"abstract": "Understanding how events are semantically related to each other is the\nessence of reading comprehension. Recent event-centric reading comprehension\ndatasets focus mostly on event arguments or temporal relations. While these\ntasks partially evaluate machines' ability of narrative understanding,\nhuma... | null | null | new_dataset | admin | null | false | null | 1db2c1e2-fa8e-442e-a345-cec8be294fd5 | null | Validated | 2023-10-04 15:19:51.895003 | {
"text_length": 1339
} | 0new_dataset |
TITLE: Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
ABSTRACT: An increasing number of reports raise concerns about the risk that machine
learning algorithms could amplify health disparities due to biases embedded in
the training data. Seyyed-Kalantari et ... | {
"abstract": "An increasing number of reports raise concerns about the risk that machine\nlearning algorithms could amplify health disparities due to biases embedded in\nthe training data. Seyyed-Kalantari et al. find that models trained on three\nchest X-ray datasets yield disparities in false-positive rates (FPR) ... | null | null | no_new_dataset | admin | null | false | null | a5c8f03d-e3e3-4775-8878-03fe44c8eaf0 | null | Validated | 2023-10-04 15:19:51.888773 | {
"text_length": 1143
} | 1no_new_dataset |
TITLE: TTSWING: a Dataset for Table Tennis Swing Analysis
ABSTRACT: We introduce TTSWING, a novel dataset designed for table tennis swing
analysis. This dataset comprises comprehensive swing information obtained
through 9-axis sensors integrated into custom-made racket grips, accompanied by
anonymized demographic dat... | {
"abstract": "We introduce TTSWING, a novel dataset designed for table tennis swing\nanalysis. This dataset comprises comprehensive swing information obtained\nthrough 9-axis sensors integrated into custom-made racket grips, accompanied by\nanonymized demographic data of the players. We detail the data collection an... | null | null | new_dataset | admin | null | false | null | 1279b7a2-2a6a-437b-ad7e-bc5a87c03f53 | null | Validated | 2023-10-04 15:19:51.868615 | {
"text_length": 747
} | 0new_dataset |
TITLE: The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics
ABSTRACT: The Second Diagnosis of COVID-19 using Acoustics (DiCOVA) Challenge aimed at
accelerating the research in acoustics based detection of COVID-19, a topic at
the intersection of acoustics, signal proces... | {
"abstract": "The Second Diagnosis of COVID-19 using Acoustics (DiCOVA) Challenge aimed at\naccelerating the research in acoustics based detection of COVID-19, a topic at\nthe intersection of acoustics, signal processing, machine learning, and\nhealthcare. This paper presents the details of the challenge, which was ... | null | null | new_dataset | admin | null | false | null | 51ac2033-7d25-4d0c-9c3d-406cccf579b3 | null | Validated | 2023-10-04 15:19:51.891717 | {
"text_length": 1327
} | 0new_dataset |
TITLE: DiCOVA Challenge: Dataset, task, and baseline system for COVID-19 diagnosis using acoustics
ABSTRACT: The DiCOVA challenge aims at accelerating research in diagnosing COVID-19
using acoustics (DiCOVA), a topic at the intersection of speech and audio
processing, respiratory health diagnosis, and machine learnin... | {
"abstract": "The DiCOVA challenge aims at accelerating research in diagnosing COVID-19\nusing acoustics (DiCOVA), a topic at the intersection of speech and audio\nprocessing, respiratory health diagnosis, and machine learning. This challenge\nis an open call for researchers to analyze a dataset of sound recordings\... | null | null | no_new_dataset | admin | null | false | null | 1f2c8daa-431f-4361-962a-f8337331510c | null | Validated | 2023-10-04 15:19:51.895407 | {
"text_length": 937
} | 1no_new_dataset |
TITLE: GrowliFlower: An image time series dataset for GROWth analysis of cauLIFLOWER
ABSTRACT: This article presents GrowliFlower, a georeferenced, image-based UAV time
series dataset of two monitored cauliflower fields of size 0.39 and 0.60 ha
acquired in 2020 and 2021. The dataset contains RGB and multispectral
ort... | {
"abstract": "This article presents GrowliFlower, a georeferenced, image-based UAV time\nseries dataset of two monitored cauliflower fields of size 0.39 and 0.60 ha\nacquired in 2020 and 2021. The dataset contains RGB and multispectral\northophotos from which about 14,000 individual plant coordinates are derived\nan... | null | null | new_dataset | admin | null | false | null | 32436224-4867-448d-a4f8-ce01f80d97ef | null | Validated | 2023-10-04 15:19:51.887287 | {
"text_length": 1585
} | 0new_dataset |
TITLE: ERS: a novel comprehensive endoscopy image dataset for machine learning, compliant with the MST 3.0 specification
ABSTRACT: The article presents a new multi-label comprehensive image dataset from
flexible endoscopy, colonoscopy and capsule endoscopy, named ERS. The
collection has been labeled according to the ... | {
"abstract": "The article presents a new multi-label comprehensive image dataset from\nflexible endoscopy, colonoscopy and capsule endoscopy, named ERS. The\ncollection has been labeled according to the full medical specification of\n'Minimum Standard Terminology 3.0' (MST 3.0), describing all possible findings\nin ... | null | null | new_dataset | admin | null | false | null | 5076f321-8f7e-43c2-a2ed-291ee575abe3 | null | Validated | 2023-10-04 15:19:51.888701 | {
"text_length": 1270
} | 0new_dataset |
TITLE: Hierarchical Optimal Transport for Comparing Histopathology Datasets
ABSTRACT: Scarcity of labeled histopathology data limits the applicability of deep
learning methods to under-profiled cancer types and labels. Transfer learning
allows researchers to overcome the limitations of small datasets by
pre-training ... | {
"abstract": "Scarcity of labeled histopathology data limits the applicability of deep\nlearning methods to under-profiled cancer types and labels. Transfer learning\nallows researchers to overcome the limitations of small datasets by\npre-training machine learning models on larger datasets similar to the small\ntar... | null | null | no_new_dataset | admin | null | false | null | aff2f5ac-c3fe-40d3-b604-617879609885 | null | Validated | 2023-10-04 15:19:51.886986 | {
"text_length": 1143
} | 1no_new_dataset |
TITLE: Online learning techniques for prediction of temporal tabular datasets with regime changes
ABSTRACT: The application of deep learning to non-stationary temporal datasets can lead
to overfitted models that underperform under regime changes. In this work, we
propose a modular machine learning pipeline for rankin... | {
"abstract": "The application of deep learning to non-stationary temporal datasets can lead\nto overfitted models that underperform under regime changes. In this work, we\npropose a modular machine learning pipeline for ranking predictions on temporal\npanel datasets which is robust under regime changes. The modular... | null | null | no_new_dataset | admin | null | false | null | 688ad769-5a09-425e-a2d0-24d7feb41d7a | null | Validated | 2023-10-04 15:19:51.881727 | {
"text_length": 1368
} | 1no_new_dataset |
TITLE: Gender and Racial Bias in Visual Question Answering Datasets
ABSTRACT: Vision-and-language tasks have increasingly drawn more attention as a means
to evaluate human-like reasoning in machine learning models. A popular task in
the field is visual question answering (VQA), which aims to answer questions
about im... | {
"abstract": "Vision-and-language tasks have increasingly drawn more attention as a means\nto evaluate human-like reasoning in machine learning models. A popular task in\nthe field is visual question answering (VQA), which aims to answer questions\nabout images. However, VQA models have been shown to exploit languag... | null | null | no_new_dataset | admin | null | false | null | a2dc7836-2bbd-4b76-b785-1e06276846c0 | null | Validated | 2023-10-04 15:19:51.886444 | {
"text_length": 1482
} | 1no_new_dataset |
TITLE: Classification of datasets with imputed missing values: does imputation quality matter?
ABSTRACT: Classifying samples in incomplete datasets is a common aim for machine
learning practitioners, but is non-trivial. Missing data is found in most
real-world datasets and these missing values are typically imputed u... | {
"abstract": "Classifying samples in incomplete datasets is a common aim for machine\nlearning practitioners, but is non-trivial. Missing data is found in most\nreal-world datasets and these missing values are typically imputed using\nestablished methods, followed by classification of the now complete, imputed,\nsam... | null | null | no_new_dataset | admin | null | false | null | 2647bd44-498b-42f9-9ef8-6cb20b36eed9 | null | Validated | 2023-10-04 15:19:51.885725 | {
"text_length": 950
} | 1no_new_dataset |
TITLE: ST-MNIST -- The Spiking Tactile MNIST Neuromorphic Dataset
ABSTRACT: Tactile sensing is an essential modality for smart robots as it enables them
to interact flexibly with physical objects in their environment. Recent
advancements in electronic skins have led to the development of data-driven
machine learning ... | {
"abstract": "Tactile sensing is an essential modality for smart robots as it enables them\nto interact flexibly with physical objects in their environment. Recent\nadvancements in electronic skins have led to the development of data-driven\nmachine learning methods that exploit this important sensory modality. Howe... | null | null | new_dataset | admin | null | false | null | 1e5201eb-c28c-49a8-bb4f-9553c88d774d | null | Validated | 2023-10-04 15:19:51.900070 | {
"text_length": 1427
} | 0new_dataset |
TITLE: X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents
ABSTRACT: Task-oriented dialogue research has mainly focused on a few popular languages
like English and Chinese, due to the high dataset creation cost for a new
language. To reduce the cost, we apply manual editing to automa... | {
"abstract": "Task-oriented dialogue research has mainly focused on a few popular languages\nlike English and Chinese, due to the high dataset creation cost for a new\nlanguage. To reduce the cost, we apply manual editing to automatically\ntranslated data. We create a new multilingual benchmark, X-RiSAWOZ, by\ntrans... | null | null | new_dataset | admin | null | false | null | d762d175-1fc5-43e4-8427-a5049dfff4e1 | null | Validated | 2023-10-04 15:19:51.868362 | {
"text_length": 1483
} | 0new_dataset |
TITLE: EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts
ABSTRACT: Climate change is global, yet its concrete impacts can strongly vary between
different locations in the same region. Seasonal weather forecasts currently
operate at the mesoscale (> 1 km). For more targe... | {
"abstract": "Climate change is global, yet its concrete impacts can strongly vary between\ndifferent locations in the same region. Seasonal weather forecasts currently\noperate at the mesoscale (> 1 km). For more targeted mitigation and adaptation,\nmodelling impacts to < 100 m is needed. Yet, the relationship betw... | null | null | new_dataset | admin | null | false | null | 456fcbdf-9699-419b-9065-cd916c678795 | null | Validated | 2023-10-04 15:19:51.896759 | {
"text_length": 2042
} | 0new_dataset |
TITLE: LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate Speech Identification
ABSTRACT: Current research on hate speech analysis is typically oriented towards
monolingual and single classification tasks. In this paper, we present a new
multilingual hate speech analysis dataset for English, Hindi,... | {
"abstract": "Current research on hate speech analysis is typically oriented towards\nmonolingual and single classification tasks. In this paper, we present a new\nmultilingual hate speech analysis dataset for English, Hindi, Arabic, French,\nGerman and Spanish languages for multiple domains across hate speech - Abu... | null | null | new_dataset | admin | null | false | null | 2ecb2c7b-c994-4cdc-b5a4-b50bb80b99c0 | null | Validated | 2023-10-04 15:19:51.880098 | {
"text_length": 1279
} | 0new_dataset |
TITLE: Domain adaptation using optimal transport for invariant learning using histopathology datasets
ABSTRACT: Histopathology is critical for the diagnosis of many diseases, including
cancer. These protocols typically require pathologists to manually evaluate
slides under a microscope, which is time-consuming and su... | {
"abstract": "Histopathology is critical for the diagnosis of many diseases, including\ncancer. These protocols typically require pathologists to manually evaluate\nslides under a microscope, which is time-consuming and subjective, leading to\ninterest in machine learning to automate analysis. However, computational... | null | null | no_new_dataset | admin | null | false | null | c3175827-96a5-4e7e-afc5-d5e9267be533 | null | Validated | 2023-10-04 15:19:51.880752 | {
"text_length": 1574
} | 1no_new_dataset |
TITLE: Acoustic scene classification using auditory datasets
ABSTRACT: The approach used not only challenges some of the fundamental mathematical
techniques used so far in early experiments of the same trend but also
introduces new scopes and new horizons for interesting results. The physics
governing spectrograms ha... | {
"abstract": "The approach used not only challenges some of the fundamental mathematical\ntechniques used so far in early experiments of the same trend but also\nintroduces new scopes and new horizons for interesting results. The physics\ngoverning spectrograms have been optimized in the project along with exploring... | null | null | no_new_dataset | admin | null | false | null | 22e36565-c3e6-4636-95d0-0d72ba44ee6d | null | Validated | 2023-10-04 15:19:51.889118 | {
"text_length": 1362
} | 1no_new_dataset |
TITLE: Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation
ABSTRACT: We present multiplexed gradient descent (MGD), a gradient descent framework
designed to easily train analog or digital neural networks in hardware. MGD
utilizes zero-order optimiz... | {
"abstract": "We present multiplexed gradient descent (MGD), a gradient descent framework\ndesigned to easily train analog or digital neural networks in hardware. MGD\nutilizes zero-order optimization techniques for online training of hardware\nneural networks. We demonstrate its ability to train neural networks on ... | null | null | no_new_dataset | admin | null | false | null | ec525273-b7d8-418f-9434-79fb74949007 | null | Validated | 2023-10-04 15:19:51.880679 | {
"text_length": 1301
} | 1no_new_dataset |
TITLE: A Vietnamese Dataset for Evaluating Machine Reading Comprehension
ABSTRACT: Over 97 million people speak Vietnamese as their native language in the
world. However, there are few research studies on machine reading comprehension
(MRC) for Vietnamese, the task of understanding a text and answering questions
rela... | {
"abstract": "Over 97 million people speak Vietnamese as their native language in the\nworld. However, there are few research studies on machine reading comprehension\n(MRC) for Vietnamese, the task of understanding a text and answering questions\nrelated to it. Due to the lack of benchmark datasets for Vietnamese, ... | null | null | new_dataset | admin | null | false | null | 1732f1e0-19f3-4699-a9af-8dfab99b291d | null | Validated | 2023-10-04 15:19:51.897958 | {
"text_length": 1519
} | 0new_dataset |
TITLE: An Energy Activity Dataset for Smart Homes
ABSTRACT: A smart home energy dataset that records miscellaneous energy consumption
data is publicly offered. The proposed energy activity dataset (EAD) has a high
data type diversity in contrast to existing load monitoring datasets. In EAD, a
simple data point is lab... | {
"abstract": "A smart home energy dataset that records miscellaneous energy consumption\ndata is publicly offered. The proposed energy activity dataset (EAD) has a high\ndata type diversity in contrast to existing load monitoring datasets. In EAD, a\nsimple data point is labeled with the appliance, brand, and event ... | null | null | new_dataset | admin | null | false | null | fbc700f8-ea1f-4563-94d0-3781d522ad20 | null | Validated | 2023-10-04 15:19:51.884441 | {
"text_length": 1199
} | 0new_dataset |
TITLE: Robustness-preserving Lifelong Learning via Dataset Condensation
ABSTRACT: Lifelong learning (LL) aims to improve a predictive model as the data source
evolves continuously. Most work in this learning paradigm has focused on
resolving the problem of 'catastrophic forgetting,' which refers to a notorious
dilemm... | {
"abstract": "Lifelong learning (LL) aims to improve a predictive model as the data source\nevolves continuously. Most work in this learning paradigm has focused on\nresolving the problem of 'catastrophic forgetting,' which refers to a notorious\ndilemma between improving model accuracy over new data and retaining a... | null | null | no_new_dataset | admin | null | false | null | ce2dc330-1032-4edf-9368-543cc1dbcdfa | null | Validated | 2023-10-04 15:19:51.880631 | {
"text_length": 1458
} | 1no_new_dataset |
TITLE: mMARCO: A Multilingual Version of the MS MARCO Passage Ranking Dataset
ABSTRACT: The MS MARCO ranking dataset has been widely used for training deep learning
models for IR tasks, achieving considerable effectiveness on diverse zero-shot
scenarios. However, this type of resource is scarce in languages other tha... | {
"abstract": "The MS MARCO ranking dataset has been widely used for training deep learning\nmodels for IR tasks, achieving considerable effectiveness on diverse zero-shot\nscenarios. However, this type of resource is scarce in languages other than\nEnglish. In this work, we present mMARCO, a multilingual version of ... | null | null | new_dataset | admin | null | false | null | 00fffa41-4e56-4436-b7c8-fccaf32deaeb | null | Validated | 2023-10-04 15:19:51.892387 | {
"text_length": 1394
} | 0new_dataset |
TITLE: Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
ABSTRACT: This paper considers the problem of enhancing user privacy in common machine
learning development tasks, such as data annotation and inspection, by
substituting the real data with samples form a generative adversarial network.
We p... | {
"abstract": "This paper considers the problem of enhancing user privacy in common machine\nlearning development tasks, such as data annotation and inspection, by\nsubstituting the real data with samples form a generative adversarial network.\nWe propose employing Bayesian differential privacy as the means to achiev... | null | null | no_new_dataset | admin | null | false | null | 73a60d1d-cc44-4f4e-86b3-7b38a7ea6785 | null | Validated | 2023-10-04 15:19:51.901455 | {
"text_length": 776
} | 1no_new_dataset |
TITLE: Common Phone: A Multilingual Dataset for Robust Acoustic Modelling
ABSTRACT: Current state of the art acoustic models can easily comprise more than 100
million parameters. This growing complexity demands larger training datasets to
maintain a decent generalization of the final decision function. An ideal
datas... | {
"abstract": "Current state of the art acoustic models can easily comprise more than 100\nmillion parameters. This growing complexity demands larger training datasets to\nmaintain a decent generalization of the final decision function. An ideal\ndataset is not necessarily large in size, but large with respect to the... | null | null | new_dataset | admin | null | false | null | 5df4810f-28b7-4f4a-8875-8f2b1c3c1df5 | null | Validated | 2023-10-04 15:19:51.888820 | {
"text_length": 1380
} | 0new_dataset |
TITLE: EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
ABSTRACT: Multimodal large-scale datasets for outdoor scenes are mostly designed for
urban driving problems. The scenes are highly structured and semantically
different from scenarios seen in nature-centered scenes such as gardens or
parks. To promot... | {
"abstract": "Multimodal large-scale datasets for outdoor scenes are mostly designed for\nurban driving problems. The scenes are highly structured and semantically\ndifferent from scenarios seen in nature-centered scenes such as gardens or\nparks. To promote machine learning methods for nature-oriented applications,... | null | null | new_dataset | admin | null | false | null | 688404c5-7c71-456d-b3d0-371c712d64e5 | null | Validated | 2023-10-04 15:19:51.897092 | {
"text_length": 1097
} | 0new_dataset |
TITLE: SPICE, A Dataset of Drug-like Molecules and Peptides for Training Machine Learning Potentials
ABSTRACT: Machine learning potentials are an important tool for molecular simulation,
but their development is held back by a shortage of high quality datasets to
train them on. We describe the SPICE dataset, a new qu... | {
"abstract": "Machine learning potentials are an important tool for molecular simulation,\nbut their development is held back by a shortage of high quality datasets to\ntrain them on. We describe the SPICE dataset, a new quantum chemistry dataset\nfor training potentials relevant to simulating drug-like small molecu... | null | null | new_dataset | admin | null | false | null | 1218fc36-d914-47a0-b45d-25c4d61b317d | null | Validated | 2023-10-04 15:19:51.883853 | {
"text_length": 1171
} | 0new_dataset |
TITLE: S2abEL: A Dataset for Entity Linking from Scientific Tables
ABSTRACT: Entity linking (EL) is the task of linking a textual mention to its
corresponding entry in a knowledge base, and is critical for many
knowledge-intensive NLP applications. When applied to tables in scientific
papers, EL is a step toward larg... | {
"abstract": "Entity linking (EL) is the task of linking a textual mention to its\ncorresponding entry in a knowledge base, and is critical for many\nknowledge-intensive NLP applications. When applied to tables in scientific\npapers, EL is a step toward large-scale scientific knowledge bases that could\nenable advan... | null | null | no_new_dataset | admin | null | false | null | 091d8728-b3a4-4de9-a5e1-a2419e5729c4 | null | Validated | 2023-10-04 15:19:51.878972 | {
"text_length": 1242
} | 1no_new_dataset |
TITLE: ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery
ABSTRACT: Forest biomass is a key influence for future climate, and the world urgently
needs highly scalable financing schemes, such as carbon offsetting
certifications, to protect and restore forests. Curr... | {
"abstract": "Forest biomass is a key influence for future climate, and the world urgently\nneeds highly scalable financing schemes, such as carbon offsetting\ncertifications, to protect and restore forests. Current manual forest carbon\nstock inventory methods of measuring single trees by hand are time, labour, and... | null | null | new_dataset | admin | null | false | null | 55d43471-737a-40d3-b966-0060a4b01cb3 | null | Validated | 2023-10-04 15:19:51.888629 | {
"text_length": 1680
} | 0new_dataset |
TITLE: Analyzing Wearables Dataset to Predict ADLs and Falls: A Pilot Study
ABSTRACT: Healthcare is an important aspect of human life. Use of technologies in
healthcare has increased manifolds after the pandemic. Internet of Things based
systems and devices proposed in literature can help elders, children and adults
... | {
"abstract": "Healthcare is an important aspect of human life. Use of technologies in\nhealthcare has increased manifolds after the pandemic. Internet of Things based\nsystems and devices proposed in literature can help elders, children and adults\nfacing/experiencing health problems. This paper exhaustively reviews... | null | null | no_new_dataset | admin | null | false | null | 1796464e-b557-4e4c-ba9e-6ab34a6c16e8 | null | Validated | 2023-10-04 15:19:51.884113 | {
"text_length": 1353
} | 1no_new_dataset |
TITLE: Hausa Visual Genome: A Dataset for Multi-Modal English to Hausa Machine Translation
ABSTRACT: Multi-modal Machine Translation (MMT) enables the use of visual information
to enhance the quality of translations. The visual information can serve as a
valuable piece of context information to decrease the ambiguity... | {
"abstract": "Multi-modal Machine Translation (MMT) enables the use of visual information\nto enhance the quality of translations. The visual information can serve as a\nvaluable piece of context information to decrease the ambiguity of input\nsentences. Despite the increasing popularity of such a technique, good an... | null | null | new_dataset | admin | null | false | null | c9bad79b-ac52-41cd-8fab-1470e9828ded | null | Validated | 2023-10-04 15:19:51.886681 | {
"text_length": 1971
} | 0new_dataset |
TITLE: COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics
ABSTRACT: After more than two years since the beginning of the COVID-19 pandemic, the
pressure of this crisis continues to devastate globally. The use of chest X-ray
(CXR) imaging as a compl... | {
"abstract": "After more than two years since the beginning of the COVID-19 pandemic, the\npressure of this crisis continues to devastate globally. The use of chest X-ray\n(CXR) imaging as a complementary screening strategy to RT-PCR testing is not\nonly prevailing but has greatly increased due to its routine clinic... | null | null | new_dataset | admin | null | false | null | 92963ad3-350f-49c8-b149-cbe55e288a61 | null | Validated | 2023-10-04 15:19:51.885890 | {
"text_length": 1440
} | 0new_dataset |
TITLE: A Case Study on the Classification of Lost Circulation Events During Drilling using Machine Learning Techniques on an Imbalanced Large Dataset
ABSTRACT: This study presents machine learning models that forecast and categorize lost
circulation severity preemptively using a large class imbalanced drilling
datase... | {
"abstract": "This study presents machine learning models that forecast and categorize lost\ncirculation severity preemptively using a large class imbalanced drilling\ndataset. We demonstrate reproducible core techniques involved in tackling a\nlarge drilling engineering challenge utilizing easily interpretable mach... | null | null | no_new_dataset | admin | null | false | null | aa7fbe27-3a54-4e61-9172-64185ae18634 | null | Validated | 2023-10-04 15:19:51.884322 | {
"text_length": 2012
} | 1no_new_dataset |
TITLE: Making Machine Learning Datasets and Models FAIR for HPC: A Methodology and Case Study
ABSTRACT: The FAIR Guiding Principles aim to improve the findability, accessibility,
interoperability, and reusability of digital content by making them both human
and machine actionable. However, these principles have not y... | {
"abstract": "The FAIR Guiding Principles aim to improve the findability, accessibility,\ninteroperability, and reusability of digital content by making them both human\nand machine actionable. However, these principles have not yet been broadly\nadopted in the domain of machine learning-based program analyses and\n... | null | null | no_new_dataset | admin | null | false | null | 0e687961-6e1d-4894-976e-690d0f572f05 | null | Validated | 2023-10-04 15:19:51.883114 | {
"text_length": 1156
} | 1no_new_dataset |
TITLE: BDSL 49: A Comprehensive Dataset of Bangla Sign Language
ABSTRACT: Language is a method by which individuals express their thoughts. Each
language has its own set of alphabetic and numeric characters. People can
communicate with one another through either oral or written communication.
However, each language h... | {
"abstract": "Language is a method by which individuals express their thoughts. Each\nlanguage has its own set of alphabetic and numeric characters. People can\ncommunicate with one another through either oral or written communication.\nHowever, each language has a sign language counterpart. Individuals who are\ndea... | null | null | new_dataset | admin | null | false | null | bf1872e3-f3b0-4029-bbea-57dfd9131db4 | null | Validated | 2023-10-04 15:19:51.884816 | {
"text_length": 1191
} | 0new_dataset |
TITLE: Uncovering Political Hate Speech During Indian Election Campaign: A New Low-Resource Dataset and Baselines
ABSTRACT: The detection of hate speech in political discourse is a critical issue, and
this becomes even more challenging in low-resource languages. To address this
issue, we introduce a new dataset named... | {
"abstract": "The detection of hate speech in political discourse is a critical issue, and\nthis becomes even more challenging in low-resource languages. To address this\nissue, we introduce a new dataset named IEHate, which contains 11,457 manually\nannotated Hindi tweets related to the Indian Assembly Election Cam... | null | null | new_dataset | admin | null | false | null | de814005-b946-4aef-b269-5f1760a84ba6 | null | Validated | 2023-10-04 15:19:51.869961 | {
"text_length": 1648
} | 0new_dataset |
TITLE: Hyperparameter Importance of Quantum Neural Networks Across Small Datasets
ABSTRACT: As restricted quantum computers are slowly becoming a reality, the search for
meaningful first applications intensifies. In this domain, one of the more
investigated approaches is the use of a special type of quantum circuit -... | {
"abstract": "As restricted quantum computers are slowly becoming a reality, the search for\nmeaningful first applications intensifies. In this domain, one of the more\ninvestigated approaches is the use of a special type of quantum circuit - a\nso-called quantum neural network -- to serve as a basis for a machine l... | null | null | no_new_dataset | admin | null | false | null | bfc8fcf3-486b-43bb-97d2-204ccbba07b4 | null | Validated | 2023-10-04 15:19:51.885630 | {
"text_length": 1763
} | 1no_new_dataset |
TITLE: Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets
ABSTRACT: This paper provides an analysis of character-level machine translation models
used in pivot-based translation when applied to sparse and noisy datasets, such
as crowdsourced movie subtitles. In our experiments, we find th... | {
"abstract": "This paper provides an analysis of character-level machine translation models\nused in pivot-based translation when applied to sparse and noisy datasets, such\nas crowdsourced movie subtitles. In our experiments, we find that such\ncharacter-level models cut the number of untranslated words by over 40%... | null | null | no_new_dataset | admin | null | false | null | 75afec9f-e139-4424-a813-01ed35f385ad | null | Validated | 2023-10-04 15:19:51.891924 | {
"text_length": 958
} | 1no_new_dataset |
TITLE: Computer Vision based inspection on post-earthquake with UAV synthetic dataset
ABSTRACT: The area affected by the earthquake is vast and often difficult to entirely
cover, and the earthquake itself is a sudden event that causes multiple defects
simultaneously, that cannot be effectively traced using traditiona... | {
"abstract": "The area affected by the earthquake is vast and often difficult to entirely\ncover, and the earthquake itself is a sudden event that causes multiple defects\nsimultaneously, that cannot be effectively traced using traditional, manual\nmethods. This article presents an innovative approach to the problem... | null | null | no_new_dataset | admin | null | false | null | 436923c6-aa42-45c0-a8a4-7e6e9dbb60e4 | null | Validated | 2023-10-04 15:19:51.883569 | {
"text_length": 1027
} | 1no_new_dataset |
TITLE: Deep Learning Hyperspectral Pansharpening on large scale PRISMA dataset
ABSTRACT: In this work, we assess several deep learning strategies for hyperspectral
pansharpening. First, we present a new dataset with a greater extent than any
other in the state of the art. This dataset, collected using the ASI PRISMA
... | {
"abstract": "In this work, we assess several deep learning strategies for hyperspectral\npansharpening. First, we present a new dataset with a greater extent than any\nother in the state of the art. This dataset, collected using the ASI PRISMA\nsatellite, covers about 262200 km2, and its heterogeneity is granted by... | null | null | new_dataset | admin | null | false | null | 0bab9564-1361-40ed-a693-9e6f87deeda9 | null | Validated | 2023-10-04 15:19:51.865000 | {
"text_length": 1230
} | 0new_dataset |
TITLE: On the Role of Dataset Quality and Heterogeneity in Model Confidence
ABSTRACT: Safety-critical applications require machine learning models that output
accurate and calibrated probabilities. While uncalibrated deep networks are
known to make over-confident predictions, it is unclear how model confidence is
imp... | {
"abstract": "Safety-critical applications require machine learning models that output\naccurate and calibrated probabilities. While uncalibrated deep networks are\nknown to make over-confident predictions, it is unclear how model confidence is\nimpacted by the variations in the data, such as label noise or class si... | null | null | no_new_dataset | admin | null | false | null | 6556831b-211d-4fa6-a255-53d603bba65a | null | Validated | 2023-10-04 15:19:51.901554 | {
"text_length": 1235
} | 1no_new_dataset |
TITLE: Dataset of Solution-based Inorganic Materials Synthesis Recipes Extracted from the Scientific Literature
ABSTRACT: The development of a materials synthesis route is usually based on heuristics
and experience. A possible new approach would be to apply data-driven
approaches to learn the patterns of synthesis fr... | {
"abstract": "The development of a materials synthesis route is usually based on heuristics\nand experience. A possible new approach would be to apply data-driven\napproaches to learn the patterns of synthesis from past experience and use them\nto predict the syntheses of novel materials. However, this route is impe... | null | null | new_dataset | admin | null | false | null | 7ce010f4-a197-4d8f-840b-0d1150e371d9 | null | Validated | 2023-10-04 15:19:51.889692 | {
"text_length": 1074
} | 0new_dataset |
TITLE: Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets
ABSTRACT: Application of interpretable machine learning techniques on medical datasets
facilitate early and fast diagnoses, along with getting deeper insight into the
data. Furthermore, the transpar... | {
"abstract": "Application of interpretable machine learning techniques on medical datasets\nfacilitate early and fast diagnoses, along with getting deeper insight into the\ndata. Furthermore, the transparency of these models increase trust among\napplication domain experts. Medical datasets face common issues such a... | null | null | no_new_dataset | admin | null | false | null | 28ba8e6a-d02a-4700-a7eb-46a3face3530 | null | Validated | 2023-10-04 15:19:51.886014 | {
"text_length": 1596
} | 1no_new_dataset |
TITLE: Towards Accelerated Localization Performance Across Indoor Positioning Datasets
ABSTRACT: The localization speed and accuracy in the indoor scenario can greatly impact
the Quality of Experience of the user. While many individual machine learning
models can achieve comparable positioning performance, their pred... | {
"abstract": "The localization speed and accuracy in the indoor scenario can greatly impact\nthe Quality of Experience of the user. While many individual machine learning\nmodels can achieve comparable positioning performance, their prediction\nmechanisms offer different complexity to the system. In this work, we pr... | null | null | no_new_dataset | admin | null | false | null | 868b2c6c-2bb8-4a26-abd1-7206bc592d8c | null | Validated | 2023-10-04 15:19:51.886915 | {
"text_length": 1193
} | 1no_new_dataset |
TITLE: Synthetic Dataset Generation of Driver Telematics
ABSTRACT: This article describes techniques employed in the production of a synthetic
dataset of driver telematics emulated from a similar real insurance dataset.
The synthetic dataset generated has 100,000 policies that included observations
about driver's cla... | {
"abstract": "This article describes techniques employed in the production of a synthetic\ndataset of driver telematics emulated from a similar real insurance dataset.\nThe synthetic dataset generated has 100,000 policies that included observations\nabout driver's claims experience together with associated classical... | null | null | no_new_dataset | admin | null | false | null | 68e1c39d-6d31-4a6c-abfa-8099ad6d7fc0 | null | Default | 2023-10-04 15:19:51.896107 | {
"text_length": 1480
} | 1no_new_dataset |
TITLE: XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence
ABSTRACT: Recent advances in machine learning have significantly improved the
understanding of source code data and achieved good performance on a number of
downstream tasks. Open source repositories like GitHub enable this process with
rich unlab... | {
"abstract": "Recent advances in machine learning have significantly improved the\nunderstanding of source code data and achieved good performance on a number of\ndownstream tasks. Open source repositories like GitHub enable this process with\nrich unlabeled code data. However, the lack of high quality labeled data ... | null | null | new_dataset | admin | null | false | null | a105b929-87c4-4981-99c6-4d6687c61b36 | null | Validated | 2023-10-04 15:19:51.885749 | {
"text_length": 1221
} | 0new_dataset |
TITLE: A Puzzle-Based Dataset for Natural Language Inference
ABSTRACT: We provide here a dataset for tasks related to natural language understanding
and natural language inference. The dataset contains logical puzzles in natural
language from three domains: comparing puzzles, knighs and knaves, and zebra
puzzles. Eac... | {
"abstract": "We provide here a dataset for tasks related to natural language understanding\nand natural language inference. The dataset contains logical puzzles in natural\nlanguage from three domains: comparing puzzles, knighs and knaves, and zebra\npuzzles. Each puzzle is associated with the entire set of atomic ... | null | null | new_dataset | admin | null | false | null | 522fd1f6-1359-45dd-a8f2-da7e01993850 | null | Validated | 2023-10-04 15:19:51.889322 | {
"text_length": 844
} | 0new_dataset |
TITLE: A Benchmark dataset for predictive maintenance
ABSTRACT: The paper describes the MetroPT data set, an outcome of a eXplainable
Predictive Maintenance (XPM) project with an urban metro public transportation
service in Porto, Portugal. The data was collected in 2022 that aimed to
evaluate machine learning method... | {
"abstract": "The paper describes the MetroPT data set, an outcome of a eXplainable\nPredictive Maintenance (XPM) project with an urban metro public transportation\nservice in Porto, Portugal. The data was collected in 2022 that aimed to\nevaluate machine learning methods for online anomaly detection and failure\npr... | null | null | new_dataset | admin | null | false | null | 35d2af1e-7208-481b-b3eb-491c6f840920 | null | Validated | 2023-10-04 15:19:51.885344 | {
"text_length": 795
} | 0new_dataset |
TITLE: CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
ABSTRACT: Providing explanations in the context of Visual Question Answering (VQA)
presents a fundamental problem in machine learning. To obtain detailed insights
into the process of generating natural language explanations for VQA, we
intro... | {
"abstract": "Providing explanations in the context of Visual Question Answering (VQA)\npresents a fundamental problem in machine learning. To obtain detailed insights\ninto the process of generating natural language explanations for VQA, we\nintroduce the large-scale CLEVR-X dataset that extends the CLEVR dataset w... | null | null | new_dataset | admin | null | false | null | 4379ec49-a7ee-420f-b803-9ab7a27bc0a4 | null | Validated | 2023-10-04 15:19:51.887215 | {
"text_length": 1408
} | 0new_dataset |
TITLE: dMelodies: A Music Dataset for Disentanglement Learning
ABSTRACT: Representation learning focused on disentangling the underlying factors of
variation in given data has become an important area of research in machine
learning. However, most of the studies in this area have relied on datasets
from the computer ... | {
"abstract": "Representation learning focused on disentangling the underlying factors of\nvariation in given data has become an important area of research in machine\nlearning. However, most of the studies in this area have relied on datasets\nfrom the computer vision domain and thus, have not been readily extended ... | null | null | new_dataset | admin | null | false | null | 65fa59c1-f125-48d0-be83-120ea19693b5 | null | Validated | 2023-10-04 15:19:51.899021 | {
"text_length": 1188
} | 0new_dataset |
TITLE: Machine Learning Models Evaluation and Feature Importance Analysis on NPL Dataset
ABSTRACT: Predicting the probability of non-performing loans for individuals has a
vital and beneficial role for banks to decrease credit risk and make the right
decisions before giving the loan. The trend to make these decisions... | {
"abstract": "Predicting the probability of non-performing loans for individuals has a\nvital and beneficial role for banks to decrease credit risk and make the right\ndecisions before giving the loan. The trend to make these decisions are based\non credit study and in accordance with generally accepted standards, l... | null | null | no_new_dataset | admin | null | false | null | f7f340d8-ba7b-4189-9251-379eb2f0a28b | null | Validated | 2023-10-04 15:19:51.884489 | {
"text_length": 1090
} | 1no_new_dataset |
TITLE: Domain Adaptation in Highly Imbalanced and Overlapping Datasets
ABSTRACT: In many machine learning domains, datasets are characterized by highly
imbalanced and overlapping classes. Particularly in the medical domain, a
specific list of symptoms can be labeled as one of various different
conditions. Some of the... | {
"abstract": "In many machine learning domains, datasets are characterized by highly\nimbalanced and overlapping classes. Particularly in the medical domain, a\nspecific list of symptoms can be labeled as one of various different\nconditions. Some of these conditions may be more prevalent than others by\nseveral ord... | null | null | no_new_dataset | admin | null | false | null | 0c76ed2a-f4d2-4669-acf2-b34fbe962854 | null | Validated | 2023-10-04 15:19:51.900142 | {
"text_length": 942
} | 1no_new_dataset |
TITLE: KazNERD: Kazakh Named Entity Recognition Dataset
ABSTRACT: We present the development of a dataset for Kazakh named entity recognition.
The dataset was built as there is a clear need for publicly available annotated
corpora in Kazakh, as well as annotation guidelines containing
straightforward--but rigorous--r... | {
"abstract": "We present the development of a dataset for Kazakh named entity recognition.\nThe dataset was built as there is a clear need for publicly available annotated\ncorpora in Kazakh, as well as annotation guidelines containing\nstraightforward--but rigorous--rules and examples. The dataset annotation,\nbase... | null | null | new_dataset | admin | null | false | null | fe537a85-42f2-4ce7-ad75-3a796caa8343 | null | Validated | 2023-10-04 15:19:51.889620 | {
"text_length": 979
} | 0new_dataset |
TITLE: Benchmarks for Pirá 2.0, a Reading Comprehension Dataset about the Ocean, the Brazilian Coast, and Climate Change
ABSTRACT: Pir\'a is a reading comprehension dataset focused on the ocean, the Brazilian
coast, and climate change, built from a collection of scientific abstracts and
reports on these topics. This ... | {
"abstract": "Pir\\'a is a reading comprehension dataset focused on the ocean, the Brazilian\ncoast, and climate change, built from a collection of scientific abstracts and\nreports on these topics. This dataset represents a versatile language resource,\nparticularly useful for testing the ability of current machine... | null | null | new_dataset | admin | null | false | null | bb978cb7-7a24-49c1-8d32-95589ab33e54 | null | Validated | 2023-10-04 15:19:51.863420 | {
"text_length": 1640
} | 0new_dataset |
TITLE: SUTD-PRCM Dataset and Neural Architecture Search Approach for Complex Metasurface Design
ABSTRACT: Metasurfaces have received a lot of attentions recently due to their
versatile capability in manipulating electromagnetic wave. Advanced designs to
satisfy multiple objectives with non-linear constraints have mot... | {
"abstract": "Metasurfaces have received a lot of attentions recently due to their\nversatile capability in manipulating electromagnetic wave. Advanced designs to\nsatisfy multiple objectives with non-linear constraints have motivated\nresearchers in using machine learning (ML) techniques like deep learning (DL)\nfo... | null | null | new_dataset | admin | null | false | null | a8552922-7488-4ac2-bc46-9b2eddfa898e | null | Validated | 2023-10-04 15:19:51.888123 | {
"text_length": 2030
} | 0new_dataset |
TITLE: MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis
ABSTRACT: There has been increasing interest in smart factories powered by robotics
systems to tackle repetitive, laborious tasks. One impactful yet challenging
task in robotics-powered sma... | {
"abstract": "There has been increasing interest in smart factories powered by robotics\nsystems to tackle repetitive, laborious tasks. One impactful yet challenging\ntask in robotics-powered smart factory applications is robotic grasping: using\nrobotic arms to grasp objects autonomously in different settings. Robo... | null | null | new_dataset | admin | null | false | null | 771e2acc-6f67-4aba-87fe-53f097b1db2b | null | Validated | 2023-10-04 15:19:51.889047 | {
"text_length": 2062
} | 0new_dataset |
TITLE: A Suite of Fairness Datasets for Tabular Classification
ABSTRACT: There have been many papers with algorithms for improving fairness of
machine-learning classifiers for tabular data. Unfortunately, most use only
very few datasets for their experimental evaluation. We introduce a suite of
functions for fetching... | {
"abstract": "There have been many papers with algorithms for improving fairness of\nmachine-learning classifiers for tabular data. Unfortunately, most use only\nvery few datasets for their experimental evaluation. We introduce a suite of\nfunctions for fetching 20 fairness datasets and providing associated fairness... | null | null | no_new_dataset | admin | null | false | null | b7b3c206-e26f-46b8-8932-7838812ba1a1 | null | Validated | 2023-10-04 15:19:51.864569 | {
"text_length": 521
} | 1no_new_dataset |
TITLE: MADLAD-400: A Multilingual And Document-Level Large Audited Dataset
ABSTRACT: We introduce MADLAD-400, a manually audited, general domain 3T token
monolingual dataset based on CommonCrawl, spanning 419 languages. We discuss
the limitations revealed by self-auditing MADLAD-400, and the role data
auditing had in... | {
"abstract": "We introduce MADLAD-400, a manually audited, general domain 3T token\nmonolingual dataset based on CommonCrawl, spanning 419 languages. We discuss\nthe limitations revealed by self-auditing MADLAD-400, and the role data\nauditing had in the dataset creation process. We then train and release a\n10.7B-p... | null | null | new_dataset | admin | null | false | null | 921cff9c-70e1-4bfa-afe1-ab167527ddfc | null | Validated | 2023-10-04 15:19:51.863691 | {
"text_length": 815
} | 0new_dataset |
TITLE: SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
ABSTRACT: Subseasonal forecasting of the weather two to six weeks in advance is
critical for resource allocation and climate adaptation but poses many
challenges for the forecasting community. At this forecast horizon,
physics-based ... | {
"abstract": "Subseasonal forecasting of the weather two to six weeks in advance is\ncritical for resource allocation and climate adaptation but poses many\nchallenges for the forecasting community. At this forecast horizon,\nphysics-based dynamical models have limited skill, and the targets for\nprediction depend i... | null | null | new_dataset | admin | null | false | null | 0bc818ba-e944-48fa-b660-12e49dde2661 | null | Validated | 2023-10-04 15:19:51.892044 | {
"text_length": 1436
} | 0new_dataset |
TITLE: RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
ABSTRACT: The current interacting hand (IH) datasets are relatively simplistic in terms
of background and texture, with hand joints being annotated by a machine
annotator, which may result in inaccuracies, and the diversity of po... | {
"abstract": "The current interacting hand (IH) datasets are relatively simplistic in terms\nof background and texture, with hand joints being annotated by a machine\nannotator, which may result in inaccuracies, and the diversity of pose\ndistribution is limited. However, the variability of background, pose\ndistrib... | null | null | new_dataset | admin | null | false | null | bd459f9b-5366-48f6-8f1c-648b42ed945d | null | Validated | 2023-10-04 15:19:51.863493 | {
"text_length": 1446
} | 0new_dataset |
TITLE: A Dataset for Speech Emotion Recognition in Greek Theatrical Plays
ABSTRACT: Machine learning methodologies can be adopted in cultural applications and
propose new ways to distribute or even present the cultural content to the
public. For instance, speech analytics can be adopted to automatically generate
subt... | {
"abstract": "Machine learning methodologies can be adopted in cultural applications and\npropose new ways to distribute or even present the cultural content to the\npublic. For instance, speech analytics can be adopted to automatically generate\nsubtitles in theatrical plays, in order to (among other purposes) help... | null | null | new_dataset | admin | null | false | null | ae95482e-4071-488e-876e-dc04b5d599e5 | null | Validated | 2023-10-04 15:19:51.887382 | {
"text_length": 1543
} | 0new_dataset |
TITLE: Confidence-Nets: A Step Towards better Prediction Intervals for regression Neural Networks on small datasets
ABSTRACT: The recent decade has seen an enormous rise in the popularity of deep
learning and neural networks. These algorithms have broken many previous
records and achieved remarkable results. Their ou... | {
"abstract": "The recent decade has seen an enormous rise in the popularity of deep\nlearning and neural networks. These algorithms have broken many previous\nrecords and achieved remarkable results. Their outstanding performance has\nsignificantly sped up the progress of AI, and so far various milestones have\nbeen... | null | null | no_new_dataset | admin | null | false | null | 94ca527f-ee32-4c5e-a72f-b59b6610c380 | null | Validated | 2023-10-04 15:19:51.883232 | {
"text_length": 1789
} | 1no_new_dataset |
TITLE: SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
ABSTRACT: Super-Resolution (SR) techniques aim to enhance data resolution, enabling the
retrieval of finer details, and improving the overall quality and fidelity of
the data representation. There is growing interest in applying S... | {
"abstract": "Super-Resolution (SR) techniques aim to enhance data resolution, enabling the\nretrieval of finer details, and improving the overall quality and fidelity of\nthe data representation. There is growing interest in applying SR methods to\ncomplex spatiotemporal systems within the Scientific Machine Learni... | null | null | new_dataset | admin | null | false | null | 5f5e7dd6-18a1-4d0d-a7cb-3b50a8096791 | null | Validated | 2023-10-04 15:19:51.870028 | {
"text_length": 1587
} | 0new_dataset |
TITLE: Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings
ABSTRACT: Given the time and expense associated with bringing a drug to market,
numerous studies have been conducted to predict the properties of compounds
based on their structure using machine... | {
"abstract": "Given the time and expense associated with bringing a drug to market,\nnumerous studies have been conducted to predict the properties of compounds\nbased on their structure using machine learning. Federated learning has been\napplied to compound datasets to increase their prediction accuracy while\nsaf... | null | null | no_new_dataset | admin | null | false | null | 857aac25-cf99-4db4-82ea-3d0718e5b1bc | null | Validated | 2023-10-04 15:19:51.864545 | {
"text_length": 1980
} | 1no_new_dataset |
TITLE: On Intrinsic Dataset Properties for Adversarial Machine Learning
ABSTRACT: Deep neural networks (DNNs) have played a key role in a wide range of machine
learning applications. However, DNN classifiers are vulnerable to
human-imperceptible adversarial perturbations, which can cause them to
misclassify inputs wi... | {
"abstract": "Deep neural networks (DNNs) have played a key role in a wide range of machine\nlearning applications. However, DNN classifiers are vulnerable to\nhuman-imperceptible adversarial perturbations, which can cause them to\nmisclassify inputs with high confidence. Thus, creating robust DNNs which can\ndefend... | null | null | no_new_dataset | admin | null | false | null | 4862c26e-143c-4cd4-94ca-81c5387b92df | null | Validated | 2023-10-04 15:19:51.899927 | {
"text_length": 1099
} | 1no_new_dataset |
TITLE: A High-Resolution Chest CT-Scan Image Dataset for COVID-19 Diagnosis and Differentiation
ABSTRACT: During the COVID-19 pandemic, computed tomography (CT) is a good way to
diagnose COVID-19 patients. HRCT (High-Resolution Computed Tomography) is a
form of computed tomography that uses advanced methods to improv... | {
"abstract": "During the COVID-19 pandemic, computed tomography (CT) is a good way to\ndiagnose COVID-19 patients. HRCT (High-Resolution Computed Tomography) is a\nform of computed tomography that uses advanced methods to improve image\nresolution. Publicly accessible COVID-19 CT image datasets are very difficult\nt... | null | null | new_dataset | admin | null | false | null | a3fd3207-7327-4e20-a8b5-e4516ccf4144 | null | Validated | 2023-10-04 15:19:51.886609 | {
"text_length": 1389
} | 0new_dataset |
TITLE: Occams Razor for Big Data? On Detecting Quality in Large Unstructured Datasets
ABSTRACT: Detecting quality in large unstructured datasets requires capacities far
beyond the limits of human perception and communicability and, as a result,
there is an emerging trend towards increasingly complex analytic solution... | {
"abstract": "Detecting quality in large unstructured datasets requires capacities far\nbeyond the limits of human perception and communicability and, as a result,\nthere is an emerging trend towards increasingly complex analytic solutions in\ndata science to cope with this problem. This new trend towards analytic\n... | null | null | no_new_dataset | admin | null | false | null | 1189fce5-fcac-458b-920e-6e91827dab85 | null | Validated | 2023-10-04 15:19:51.897044 | {
"text_length": 1770
} | 1no_new_dataset |
TITLE: Surgical Phase and Instrument Recognition: How to identify appropriate Dataset Splits
ABSTRACT: Purpose: The development of machine learning models for surgical workflow and
instrument recognition from temporal data represents a challenging task due to
the complex nature of surgical workflows. In particular, t... | {
"abstract": "Purpose: The development of machine learning models for surgical workflow and\ninstrument recognition from temporal data represents a challenging task due to\nthe complex nature of surgical workflows. In particular, the imbalanced\ndistribution of data is one of the major challenges in the domain of su... | null | null | no_new_dataset | admin | null | false | null | c3bd27fc-b37a-48b3-99cc-5d65b5af68a1 | null | Validated | 2023-10-04 15:19:51.868697 | {
"text_length": 1750
} | 1no_new_dataset |
TITLE: Presenting a Larger Up-to-date Movie Dataset and Investigating the Effects of Pre-released Attributes on Gross Revenue
ABSTRACT: Movie-making has become one of the most costly and risky endeavors in the
entertainment industry. Continuous change in the preference of the audience
makes it harder to predict what ... | {
"abstract": "Movie-making has become one of the most costly and risky endeavors in the\nentertainment industry. Continuous change in the preference of the audience\nmakes it harder to predict what kind of movie will be financially successful at\nthe box office. So, it is no wonder that cautious, intelligent stakeho... | null | null | new_dataset | admin | null | false | null | 14366fed-8b51-40fd-9cc3-c8ff049dd855 | null | Validated | 2023-10-04 15:19:51.891029 | {
"text_length": 2030
} | 0new_dataset |
TITLE: Dataset Factory: A Toolchain For Generative Computer Vision Datasets
ABSTRACT: Generative AI workflows heavily rely on data-centric tasks - such as
filtering samples by annotation fields, vector distances, or scores produced by
custom classifiers. At the same time, computer vision datasets are quickly
approach... | {
"abstract": "Generative AI workflows heavily rely on data-centric tasks - such as\nfiltering samples by annotation fields, vector distances, or scores produced by\ncustom classifiers. At the same time, computer vision datasets are quickly\napproaching petabyte volumes, rendering data wrangling difficult. In additio... | null | null | no_new_dataset | admin | null | false | null | fa011680-5d73-4e07-aaa1-11e087eb022d | null | Validated | 2023-10-04 15:19:51.863345 | {
"text_length": 787
} | 1no_new_dataset |
TITLE: A Synthetic Dataset for 5G UAV Attacks Based on Observable Network Parameters
ABSTRACT: Synthetic datasets are beneficial for machine learning researchers due to the
possibility of experimenting with new strategies and algorithms in the training
and testing phases. These datasets can easily include more scenar... | {
"abstract": "Synthetic datasets are beneficial for machine learning researchers due to the\npossibility of experimenting with new strategies and algorithms in the training\nand testing phases. These datasets can easily include more scenarios that might\nbe costly to research with real data or can complement and, in... | null | null | new_dataset | admin | null | false | null | a407ec96-3a6e-432c-88ce-b3caf3cd1e90 | null | Validated | 2023-10-04 15:19:51.883043 | {
"text_length": 1732
} | 0new_dataset |
TITLE: Automatic Dataset Builder for Machine Learning Applications to Satellite Imagery
ABSTRACT: Nowadays the use of Machine Learning (ML) algorithms is spreading in the
field of Remote Sensing, with applications ranging from detection and
classification of land use and monitoring to the prediction of many natural o... | {
"abstract": "Nowadays the use of Machine Learning (ML) algorithms is spreading in the\nfield of Remote Sensing, with applications ranging from detection and\nclassification of land use and monitoring to the prediction of many natural or\nanthropic phenomena of interest. One main limit of their employment is related... | null | null | no_new_dataset | admin | null | false | null | 2f4a9cc8-cb31-49c8-9b11-1521acb50919 | null | Validated | 2023-10-04 15:19:51.898922 | {
"text_length": 989
} | 1no_new_dataset |
TITLE: IFCNet: A Benchmark Dataset for IFC Entity Classification
ABSTRACT: Enhancing interoperability and information exchange between domain-specific
software products for BIM is an important aspect in the Architecture,
Engineering, Construction and Operations industry. Recent research started
investigating methods ... | {
"abstract": "Enhancing interoperability and information exchange between domain-specific\nsoftware products for BIM is an important aspect in the Architecture,\nEngineering, Construction and Operations industry. Recent research started\ninvestigating methods from the areas of machine and deep learning for semantic\... | null | null | new_dataset | admin | null | false | null | e6fb60d6-17c4-4d32-a8b2-8666742d1ee0 | null | Validated | 2023-10-04 15:19:51.894074 | {
"text_length": 862
} | 0new_dataset |
TITLE: TextileNet: A Material Taxonomy-based Fashion Textile Dataset
ABSTRACT: The rise of Machine Learning (ML) is gradually digitalizing and reshaping the
fashion industry. Recent years have witnessed a number of fashion AI
applications, for example, virtual try-ons. Textile material identification and
categorizati... | {
"abstract": "The rise of Machine Learning (ML) is gradually digitalizing and reshaping the\nfashion industry. Recent years have witnessed a number of fashion AI\napplications, for example, virtual try-ons. Textile material identification and\ncategorization play a crucial role in the fashion textile sector, includi... | null | null | new_dataset | admin | null | false | null | 0f5da146-7ae1-4ac8-a996-f59a73535f9c | null | Validated | 2023-10-04 15:19:51.881509 | {
"text_length": 1643
} | 0new_dataset |
TITLE: IGRF-RFE: A Hybrid Feature Selection Method for MLP-based Network Intrusion Detection on UNSW-NB15 Dataset
ABSTRACT: The effectiveness of machine learning models is significantly affected by the
size of the dataset and the quality of features as redundant and irrelevant
features can radically degrade the perfo... | {
"abstract": "The effectiveness of machine learning models is significantly affected by the\nsize of the dataset and the quality of features as redundant and irrelevant\nfeatures can radically degrade the performance. This paper proposes IGRF-RFE: a\nhybrid feature selection method tasked for multi-class network ano... | null | null | no_new_dataset | admin | null | false | null | 1e7dc758-d310-4b1f-a822-9a1e142e609d | null | Validated | 2023-10-04 15:19:51.887310 | {
"text_length": 1335
} | 1no_new_dataset |
TITLE: MVA2023 Small Object Detection Challenge for Spotting Birds: Dataset, Methods, and Results
ABSTRACT: Small Object Detection (SOD) is an important machine vision topic because (i)
a variety of real-world applications require object detection for distant
objects and (ii) SOD is a challenging task due to the nois... | {
"abstract": "Small Object Detection (SOD) is an important machine vision topic because (i)\na variety of real-world applications require object detection for distant\nobjects and (ii) SOD is a challenging task due to the noisy, blurred, and\nless-informative image appearances of small objects. This paper proposes a... | null | null | new_dataset | admin | null | false | null | 5f019e01-32e6-4692-8c02-324e6a1bb7a0 | null | Validated | 2023-10-04 15:19:51.866808 | {
"text_length": 880
} | 0new_dataset |
TITLE: Data Models for Dataset Drift Controls in Machine Learning With Optical Images
ABSTRACT: Camera images are ubiquitous in machine learning research. They also play a
central role in the delivery of important services spanning medicine and
environmental surveying. However, the application of machine learning mod... | {
"abstract": "Camera images are ubiquitous in machine learning research. They also play a\ncentral role in the delivery of important services spanning medicine and\nenvironmental surveying. However, the application of machine learning models in\nthese domains has been limited because of robustness concerns. A primar... | null | null | no_new_dataset | admin | null | false | null | 75bfa54b-db90-45f0-89a9-3102ff3b3df3 | null | Validated | 2023-10-04 15:19:51.883067 | {
"text_length": 2020
} | 1no_new_dataset |
TITLE: The Influence of Dataset Partitioning on Dysfluency Detection Systems
ABSTRACT: This paper empirically investigates the influence of different data splits
and splitting strategies on the performance of dysfluency detection systems.
For this, we perform experiments using wav2vec 2.0 models with a classification... | {
"abstract": "This paper empirically investigates the influence of different data splits\nand splitting strategies on the performance of dysfluency detection systems.\nFor this, we perform experiments using wav2vec 2.0 models with a classification\nhead as well as support vector machines (SVM) in conjunction with th... | null | null | no_new_dataset | admin | null | false | null | 199c1346-2b99-47f9-8524-a305f8e79dee | null | Validated | 2023-10-04 15:19:51.885937 | {
"text_length": 1105
} | 1no_new_dataset |
TITLE: Potrika: Raw and Balanced Newspaper Datasets in the Bangla Language with Eight Topics and Five Attributes
ABSTRACT: Knowledge is central to human and scientific developments. Natural Language
Processing (NLP) allows automated analysis and creation of knowledge. Data is a
crucial NLP and machine learning ingred... | {
"abstract": "Knowledge is central to human and scientific developments. Natural Language\nProcessing (NLP) allows automated analysis and creation of knowledge. Data is a\ncrucial NLP and machine learning ingredient. The scarcity of open datasets is a\nwell-known problem in machine and deep learning research. This i... | null | null | new_dataset | admin | null | false | null | 7fe08fc6-104f-4522-b868-4114f14aa33c | null | Validated | 2023-10-04 15:19:51.883427 | {
"text_length": 1714
} | 0new_dataset |
TITLE: Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks
ABSTRACT: Research and education in machine learning needs diverse, representative, and
open datasets that contain sufficient samples to handle the necessary training,
validation, and testing tasks... | {
"abstract": "Research and education in machine learning needs diverse, representative, and\nopen datasets that contain sufficient samples to handle the necessary training,\nvalidation, and testing tasks. Currently, the Recommender Systems area includes\na large number of subfields in which accuracy and beyond accur... | null | null | no_new_dataset | admin | null | false | null | 575ace44-3cdd-420d-910d-cbae628cbf19 | null | Validated | 2023-10-04 15:19:51.880800 | {
"text_length": 1670
} | 1no_new_dataset |
TITLE: An investigation of licensing of datasets for machine learning based on the GQM model
ABSTRACT: Dataset licensing is currently an issue in the development of machine
learning systems. And in the development of machine learning systems, the most
widely used are publicly available datasets. However, since the im... | {
"abstract": "Dataset licensing is currently an issue in the development of machine\nlearning systems. And in the development of machine learning systems, the most\nwidely used are publicly available datasets. However, since the images in the\npublicly available dataset are mainly obtained from the Internet, some im... | null | null | no_new_dataset | admin | null | false | null | 0859a6fa-09bc-4167-9272-370e9ffd4a82 | null | Validated | 2023-10-04 15:19:51.880245 | {
"text_length": 1212
} | 1no_new_dataset |
TITLE: SignBank+: Multilingual Sign Language Translation Dataset
ABSTRACT: This work advances the field of sign language machine translation by focusing
on dataset quality and simplification of the translation system. We introduce
SignBank+, a clean version of the SignBank dataset, optimized for machine
translation. ... | {
"abstract": "This work advances the field of sign language machine translation by focusing\non dataset quality and simplification of the translation system. We introduce\nSignBank+, a clean version of the SignBank dataset, optimized for machine\ntranslation. Contrary to previous works that employ complex factorizat... | null | null | new_dataset | admin | null | false | null | c1f9ba01-67c4-4b08-88f7-4d5c4caf890a | null | Validated | 2023-10-04 15:19:51.863370 | {
"text_length": 661
} | 0new_dataset |
TITLE: Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
ABSTRACT: Fairness (also known as equity interchangeably) in machine learning is
important for societal well-being, but limited public datasets hinder its
progress. Currently, no dedicated public me... | {
"abstract": "Fairness (also known as equity interchangeably) in machine learning is\nimportant for societal well-being, but limited public datasets hinder its\nprogress. Currently, no dedicated public medical datasets with imaging data for\nfairness learning are available, though minority groups suffer from more he... | null | null | new_dataset | admin | null | false | null | 646c74b0-2d86-4afa-821e-831c8c9baadb | null | Validated | 2023-10-04 15:19:51.870770 | {
"text_length": 1531
} | 0new_dataset |
TITLE: DynaBench: A benchmark dataset for learning dynamical systems from low-resolution data
ABSTRACT: Previous work on learning physical systems from data has focused on
high-resolution grid-structured measurements. However, real-world knowledge of
such systems (e.g. weather data) relies on sparsely scattered measu... | {
"abstract": "Previous work on learning physical systems from data has focused on\nhigh-resolution grid-structured measurements. However, real-world knowledge of\nsuch systems (e.g. weather data) relies on sparsely scattered measuring\nstations. In this paper, we introduce a novel simulated benchmark dataset,\nDynaB... | null | null | new_dataset | admin | null | false | null | ea320f3e-d049-455e-adcc-bfbdd1fa8a2b | null | Validated | 2023-10-04 15:19:51.874159 | {
"text_length": 1261
} | 0new_dataset |
TITLE: Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset
ABSTRACT: As technology grows and evolves rapidly, it is increasingly clear that mobile
devices are more commonly used for sensitive matters than ever before. A need
to authenticate users continuou... | {
"abstract": "As technology grows and evolves rapidly, it is increasingly clear that mobile\ndevices are more commonly used for sensitive matters than ever before. A need\nto authenticate users continuously is sought after as a single-factor or multi\nfactor authentication may only initially validate a user, which d... | null | null | new_dataset | admin | null | false | null | e601727a-1174-4c9c-84e8-b1d2abb35093 | null | Validated | 2023-10-04 15:19:51.885077 | {
"text_length": 1357
} | 0new_dataset |
TITLE: Model Evaluation in Medical Datasets Over Time
ABSTRACT: Machine learning models deployed in healthcare systems face data drawn from
continually evolving environments. However, researchers proposing such models
typically evaluate them in a time-agnostic manner, with train and test splits
sampling patients thro... | {
"abstract": "Machine learning models deployed in healthcare systems face data drawn from\ncontinually evolving environments. However, researchers proposing such models\ntypically evaluate them in a time-agnostic manner, with train and test splits\nsampling patients throughout the entire study period. We introduce t... | null | null | no_new_dataset | admin | null | false | null | 14c4fda3-5210-42ac-b939-bbe5e881a6bc | null | Validated | 2023-10-04 15:19:51.882842 | {
"text_length": 786
} | 1no_new_dataset |
TITLE: LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities
ABSTRACT: Understanding and interpreting human actions is a long-standing challenge and
a critical indicator of perception in artificial intelligence. However, a few
imperative components of daily human activities are largely missed in ... | {
"abstract": "Understanding and interpreting human actions is a long-standing challenge and\na critical indicator of perception in artificial intelligence. However, a few\nimperative components of daily human activities are largely missed in prior\nliterature, including the goal-directed actions, concurrent multi-ta... | null | null | new_dataset | admin | null | false | null | 238beaef-fde6-4639-afd6-26f57f4322dd | null | Validated | 2023-10-04 15:19:51.898971 | {
"text_length": 1226
} | 0new_dataset |
TITLE: WikiLingua: A New Benchmark Dataset for Cross-Lingual Abstractive Summarization
ABSTRACT: We introduce WikiLingua, a large-scale, multilingual dataset for the
evaluation of crosslingual abstractive summarization systems. We extract
article and summary pairs in 18 languages from WikiHow, a high quality,
collabo... | {
"abstract": "We introduce WikiLingua, a large-scale, multilingual dataset for the\nevaluation of crosslingual abstractive summarization systems. We extract\narticle and summary pairs in 18 languages from WikiHow, a high quality,\ncollaborative resource of how-to guides on a diverse set of topics written by\nhuman a... | null | null | new_dataset | admin | null | false | null | 2b06bf83-4565-40c7-bd94-55d327c90489 | null | Validated | 2023-10-04 15:19:51.897786 | {
"text_length": 1034
} | 0new_dataset |
TITLE: Feature Selection on Thermal-stress Dataset
ABSTRACT: Physical symptoms caused by high stress commonly happen in our daily lives,
leading to the importance of stress recognition systems. This study aims to
improve stress classification by selecting appropriate features from
Thermal-stress data, ANUstressDB. We... | {
"abstract": "Physical symptoms caused by high stress commonly happen in our daily lives,\nleading to the importance of stress recognition systems. This study aims to\nimprove stress classification by selecting appropriate features from\nThermal-stress data, ANUstressDB. We explored three different feature selection... | null | null | no_new_dataset | admin | null | false | null | 6f0cc4c4-15fe-4882-8d9b-8522e3d34298 | null | Validated | 2023-10-04 15:19:51.892243 | {
"text_length": 955
} | 1no_new_dataset |
TITLE: Binary classifiers for noisy datasets: a comparative study of existing quantum machine learning frameworks and some new approaches
ABSTRACT: One of the most promising areas of research to obtain practical advantage is
Quantum Machine Learning which was born as a result of cross-fertilisation of
ideas between Q... | {
"abstract": "One of the most promising areas of research to obtain practical advantage is\nQuantum Machine Learning which was born as a result of cross-fertilisation of\nideas between Quantum Computing and Classical Machine Learning. In this paper,\nwe apply Quantum Machine Learning (QML) frameworks to improve bina... | null | null | no_new_dataset | admin | null | false | null | b301c76c-d50e-461a-8b0a-6503883f321f | null | Validated | 2023-10-04 15:19:51.890085 | {
"text_length": 1335
} | 1no_new_dataset |
TITLE: Active label cleaning for improved dataset quality under resource constraints
ABSTRACT: Imperfections in data annotation, known as label noise, are detrimental to
the training of machine learning models and have an often-overlooked
confounding effect on the assessment of model performance. Nevertheless,
employ... | {
"abstract": "Imperfections in data annotation, known as label noise, are detrimental to\nthe training of machine learning models and have an often-overlooked\nconfounding effect on the assessment of model performance. Nevertheless,\nemploying experts to remove label noise by fully re-annotating large datasets\nis i... | null | null | no_new_dataset | admin | null | false | null | 2664980c-6dd3-4e96-9645-ed72da54a84b | null | Validated | 2023-10-04 15:19:51.892338 | {
"text_length": 1202
} | 1no_new_dataset |
TITLE: Dataset Inference: Ownership Resolution in Machine Learning
ABSTRACT: With increasingly more data and computation involved in their training,
machine learning models constitute valuable intellectual property. This has
spurred interest in model stealing, which is made more practical by advances in
learning with... | {
"abstract": "With increasingly more data and computation involved in their training,\nmachine learning models constitute valuable intellectual property. This has\nspurred interest in model stealing, which is made more practical by advances in\nlearning with partial, little, or no supervision. Existing defenses focu... | null | null | no_new_dataset | admin | null | false | null | 34e24349-1528-48dd-a7cc-b25e36470f4d | null | Validated | 2023-10-04 15:19:51.894907 | {
"text_length": 1786
} | 1no_new_dataset |
TITLE: CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
ABSTRACT: Continuity of care is crucial to ensuring positive health outcomes for
patients discharged from an inpatient hospital setting, and improved
information sharing can help. To share information, caregivers write dis... | {
"abstract": "Continuity of care is crucial to ensuring positive health outcomes for\npatients discharged from an inpatient hospital setting, and improved\ninformation sharing can help. To share information, caregivers write discharge\nnotes containing action items to share with patients and their future\ncaregivers... | null | null | new_dataset | admin | null | false | null | 00207d9e-f241-43fd-81d6-65b657045f7d | null | Validated | 2023-10-04 15:19:51.894350 | {
"text_length": 1350
} | 0new_dataset |
TITLE: SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet
ABSTRACT: It is very important to access a rich music dataset that is useful in a wide
variety of applications. Currently, available datasets are mostly focused on
storing vocal or instrumental recording data and ignoring the requirement of
i... | {
"abstract": "It is very important to access a rich music dataset that is useful in a wide\nvariety of applications. Currently, available datasets are mostly focused on\nstoring vocal or instrumental recording data and ignoring the requirement of\nits visual representation and retrieval. This paper attempts to build... | null | null | new_dataset | admin | null | false | null | 48fd9e3f-2663-4a46-8703-9a85fc73987b | null | Validated | 2023-10-04 15:19:51.874454 | {
"text_length": 1432
} | 0new_dataset |
TITLE: RDD2022: A multi-national image dataset for automatic Road Damage Detection
ABSTRACT: The data article describes the Road Damage Dataset, RDD2022, which comprises
47,420 road images from six countries, Japan, India, the Czech Republic,
Norway, the United States, and China. The images have been annotated with m... | {
"abstract": "The data article describes the Road Damage Dataset, RDD2022, which comprises\n47,420 road images from six countries, Japan, India, the Czech Republic,\nNorway, the United States, and China. The images have been annotated with more\nthan 55,000 instances of road damage. Four types of road damage, namely... | null | null | new_dataset | admin | null | false | null | c0bcb794-f281-44ee-819a-6bb0253283a0 | null | Validated | 2023-10-04 15:19:51.883925 | {
"text_length": 1284
} | 0new_dataset |
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