librarian-bots/is_new_dataset_student_model
Text Classification • Updated • 4 • 1
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TITLE: MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task
ABSTRACT: We present a machine sound dataset to benchmark domain generalization
techniques for anomalous sound detection (ASD). Domain shifts are differences
in data distributions that can ... | {
"abstract": "We present a machine sound dataset to benchmark domain generalization\ntechniques for anomalous sound detection (ASD). Domain shifts are differences\nin data distributions that can degrade the detection performance, and handling\nthem is a major issue for the application of ASD systems. While currently... | null | null | new_dataset | admin | null | false | null | df147356-9cb2-4184-836a-da7f9eb9ffee | null | Validated | 2023-10-04 15:19:51.886183 | {
"text_length": 1351
} | 0new_dataset |
TITLE: FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation
ABSTRACT: Previous research for adapting a general neural machine translation (NMT)
model into a specific domain usually neglects the diversity in translation
within the same domain, which is a core problem for domain ada... | {
"abstract": "Previous research for adapting a general neural machine translation (NMT)\nmodel into a specific domain usually neglects the diversity in translation\nwithin the same domain, which is a core problem for domain adaptation in\nreal-world scenarios. One representative of such challenging scenarios is to\n... | null | null | new_dataset | admin | null | false | null | 093eec3f-f3c0-4a6e-90a1-5da75de79b0e | null | Validated | 2023-10-04 15:19:51.896427 | {
"text_length": 1418
} | 0new_dataset |
TITLE: Commander's Intent: A Dataset and Modeling Approach for Human-AI Task Specification in Strategic Play
ABSTRACT: Effective Human-AI teaming requires the ability to communicate the goals of
the team and constraints under which you need the agent to operate. Providing
the ability to specify the shared intent or o... | {
"abstract": "Effective Human-AI teaming requires the ability to communicate the goals of\nthe team and constraints under which you need the agent to operate. Providing\nthe ability to specify the shared intent or operation criteria of the team can\nenable an AI agent to perform its primary function while still bein... | null | null | new_dataset | admin | null | false | null | f59375fa-83ae-406a-b541-3df9881bafce | null | Validated | 2023-10-04 15:19:51.884721 | {
"text_length": 1815
} | 0new_dataset |
TITLE: Massive MIMO Channel Prediction Via Meta-Learning and Deep Denoising: Is a Small Dataset Enough?
ABSTRACT: Accurate channel knowledge is critical in massive multiple-input
multiple-output (MIMO), which motivates the use of channel prediction. Machine
learning techniques for channel prediction hold much promise... | {
"abstract": "Accurate channel knowledge is critical in massive multiple-input\nmultiple-output (MIMO), which motivates the use of channel prediction. Machine\nlearning techniques for channel prediction hold much promise, but current\nschemes are limited in their ability to adapt to changes in the environment\nbecau... | null | null | no_new_dataset | admin | null | false | null | 60b9cb2d-7bc6-46ad-bc59-6a260bc9a069 | null | Validated | 2023-10-04 15:19:51.883475 | {
"text_length": 1214
} | 1no_new_dataset |
TITLE: The first large scale collection of diverse Hausa language datasets
ABSTRACT: Hausa language belongs to the Afroasiatic phylum, and with more
first-language speakers than any other sub-Saharan African language. With a
majority of its speakers residing in the Northern and Southern areas of Nigeria
and the Repub... | {
"abstract": "Hausa language belongs to the Afroasiatic phylum, and with more\nfirst-language speakers than any other sub-Saharan African language. With a\nmajority of its speakers residing in the Northern and Southern areas of Nigeria\nand the Republic of Niger, respectively, it is estimated that over 100 million\n... | null | null | new_dataset | admin | null | false | null | 67e5a5bc-1dd6-4a04-a495-5edcad1124a9 | null | Validated | 2023-10-04 15:19:51.895828 | {
"text_length": 1835
} | 0new_dataset |
TITLE: AI4D -- African Language Dataset Challenge
ABSTRACT: As language and speech technologies become more advanced, the lack of
fundamental digital resources for African languages, such as data, spell
checkers and Part of Speech taggers, means that the digital divide between
these languages and others keeps growing... | {
"abstract": "As language and speech technologies become more advanced, the lack of\nfundamental digital resources for African languages, such as data, spell\ncheckers and Part of Speech taggers, means that the digital divide between\nthese languages and others keeps growing. This work details the organisation of\nt... | null | null | no_new_dataset | admin | null | false | null | 67f9a208-7b03-4f42-8fe2-9b9b2e41fc39 | null | Validated | 2023-10-04 15:19:51.899069 | {
"text_length": 694
} | 1no_new_dataset |
TITLE: Dataset Inference for Self-Supervised Models
ABSTRACT: Self-supervised models are increasingly prevalent in machine learning (ML)
since they reduce the need for expensively labeled data. Because of their
versatility in downstream applications, they are increasingly used as a service
exposed via public APIs. At... | {
"abstract": "Self-supervised models are increasingly prevalent in machine learning (ML)\nsince they reduce the need for expensively labeled data. Because of their\nversatility in downstream applications, they are increasingly used as a service\nexposed via public APIs. At the same time, these encoder models are\npa... | null | null | new_dataset | admin | null | false | null | a25da927-354a-4a13-abe1-5a0df043c8e7 | null | Validated | 2023-10-04 15:19:51.883979 | {
"text_length": 1467
} | 0new_dataset |
TITLE: Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
ABSTRACT: Machine learning datasets have elicited concerns about privacy, bias, and
unethical applications, leading to the retraction of prominent datasets such as
DukeMTMC, MS-Celeb-1M, and Tiny Images. In response, the machine learning
c... | {
"abstract": "Machine learning datasets have elicited concerns about privacy, bias, and\nunethical applications, leading to the retraction of prominent datasets such as\nDukeMTMC, MS-Celeb-1M, and Tiny Images. In response, the machine learning\ncommunity has called for higher ethical standards in dataset creation. T... | null | null | no_new_dataset | admin | null | false | null | 3f3fa599-cb03-4fc3-8f64-dd0bee62afc1 | null | Validated | 2023-10-04 15:19:51.893075 | {
"text_length": 974
} | 1no_new_dataset |
TITLE: An annotated instance segmentation XXL-CT dataset from a historic airplane
ABSTRACT: The Me 163 was a Second World War fighter airplane and a result of the German
air force secret developments. One of these airplanes is currently owned and
displayed in the historic aircraft exhibition of the Deutsches Museum i... | {
"abstract": "The Me 163 was a Second World War fighter airplane and a result of the German\nair force secret developments. One of these airplanes is currently owned and\ndisplayed in the historic aircraft exhibition of the Deutsches Museum in\nMunich, Germany. To gain insights with respect to its history, design an... | null | null | new_dataset | admin | null | false | null | 226c7620-2e37-4e2b-8168-ee779d5451c9 | null | Validated | 2023-10-04 15:19:51.882096 | {
"text_length": 1870
} | 0new_dataset |
TITLE: Healthsheet: Development of a Transparency Artifact for Health Datasets
ABSTRACT: Machine learning (ML) approaches have demonstrated promising results in a
wide range of healthcare applications. Data plays a crucial role in developing
ML-based healthcare systems that directly affect people's lives. Many of the... | {
"abstract": "Machine learning (ML) approaches have demonstrated promising results in a\nwide range of healthcare applications. Data plays a crucial role in developing\nML-based healthcare systems that directly affect people's lives. Many of the\nethical issues surrounding the use of ML in healthcare stem from struc... | null | null | no_new_dataset | admin | null | false | null | 11460e75-a3e1-47e4-b475-05f92c8cf564 | null | Validated | 2023-10-04 15:19:51.888075 | {
"text_length": 1803
} | 1no_new_dataset |
TITLE: The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
ABSTRACT: We present Belebele, a multiple-choice machine reading comprehension (MRC)
dataset spanning 122 language variants. Significantly expanding the language
coverage of natural language understanding (NLU) benchmarks... | {
"abstract": "We present Belebele, a multiple-choice machine reading comprehension (MRC)\ndataset spanning 122 language variants. Significantly expanding the language\ncoverage of natural language understanding (NLU) benchmarks, this dataset\nenables the evaluation of text models in high-, medium-, and low-resource\... | null | null | new_dataset | admin | null | false | null | 17559566-dcdb-4a3a-98ff-470dd30b9926 | null | Validated | 2023-10-04 15:19:51.863888 | {
"text_length": 1466
} | 0new_dataset |
TITLE: PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
ABSTRACT: We introduce a high-quality and large-scale Vietnamese-English parallel
dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark
Vietnamese-English machine translation corpus IWSLT... | {
"abstract": "We introduce a high-quality and large-scale Vietnamese-English parallel\ndataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark\nVietnamese-English machine translation corpus IWSLT15. We conduct experiments\ncomparing strong neural baselines and well-known automatic translation ... | null | null | new_dataset | admin | null | false | null | 085dc921-4f42-481f-b8b9-cfa30fecde31 | null | Validated | 2023-10-04 15:19:51.890247 | {
"text_length": 883
} | 0new_dataset |
TITLE: Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation
ABSTRACT: Recent works have found evidence of gender bias in models of machine
translation and coreference resolution using mostly synthetic diagnostic
datasets. While these quantify bias in a controlled experiment,... | {
"abstract": "Recent works have found evidence of gender bias in models of machine\ntranslation and coreference resolution using mostly synthetic diagnostic\ndatasets. While these quantify bias in a controlled experiment, they often do\nso on a small scale and consist mostly of artificial, out-of-distribution\nsente... | null | null | new_dataset | admin | null | false | null | 10fbc559-79e6-4fc6-8480-915d311b510a | null | Validated | 2023-10-04 15:19:51.892219 | {
"text_length": 1370
} | 0new_dataset |
TITLE: Benchmark tests of atom segmentation deep learning models with a consistent dataset
ABSTRACT: The information content of atomic resolution scanning transmission electron
microscopy (STEM) images can often be reduced to a handful of parameters
describing each atomic column, chief amongst which is the column pos... | {
"abstract": "The information content of atomic resolution scanning transmission electron\nmicroscopy (STEM) images can often be reduced to a handful of parameters\ndescribing each atomic column, chief amongst which is the column position.\nNeural networks (NNs) are a high performance, computationally efficient meth... | null | null | no_new_dataset | admin | null | false | null | ab7f850f-32e2-4af5-943a-e0a0ce1ede50 | null | Validated | 2023-10-04 15:19:51.885199 | {
"text_length": 1213
} | 1no_new_dataset |
TITLE: BrazilDAM: A Benchmark dataset for Tailings Dam Detection
ABSTRACT: In this work we present BrazilDAM, a novel public dataset based on Sentinel-2
and Landsat-8 satellite images covering all tailings dams cataloged by the
Brazilian National Mining Agency (ANM). The dataset was built using
georeferenced images f... | {
"abstract": "In this work we present BrazilDAM, a novel public dataset based on Sentinel-2\nand Landsat-8 satellite images covering all tailings dams cataloged by the\nBrazilian National Mining Agency (ANM). The dataset was built using\ngeoreferenced images from 769 dams, recorded between 2016 and 2019. The time\ns... | null | null | new_dataset | admin | null | false | null | df34d82e-ae49-42db-b2cc-daf65dee09d6 | null | Validated | 2023-10-04 15:19:51.901374 | {
"text_length": 1271
} | 0new_dataset |
TITLE: MMASD: A Multimodal Dataset for Autism Intervention Analysis
ABSTRACT: Autism spectrum disorder (ASD) is a developmental disorder characterized by
significant social communication impairments and difficulties perceiving and
presenting communication cues. Machine learning techniques have been broadly
adopted to... | {
"abstract": "Autism spectrum disorder (ASD) is a developmental disorder characterized by\nsignificant social communication impairments and difficulties perceiving and\npresenting communication cues. Machine learning techniques have been broadly\nadopted to facilitate autism studies and assessments. However, computa... | null | null | new_dataset | admin | null | false | null | 02df4219-2477-44e6-9c43-32d640964a80 | null | Validated | 2023-10-04 15:19:51.871076 | {
"text_length": 1620
} | 0new_dataset |
TITLE: PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels
ABSTRACT: Allowing organizations to share their data for training of machine learning
(ML) models without unintended information leakage is an open problem in
practice. A promising technique for this still-open problem is to train models
... | {
"abstract": "Allowing organizations to share their data for training of machine learning\n(ML) models without unintended information leakage is an open problem in\npractice. A promising technique for this still-open problem is to train models\non the encoded data. Our approach, called Privately Encoded Open Dataset... | null | null | no_new_dataset | admin | null | false | null | 159e2249-b5f9-4f5c-bced-d3c8106f4bc3 | null | Validated | 2023-10-04 15:19:51.880122 | {
"text_length": 1481
} | 1no_new_dataset |
TITLE: Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset
ABSTRACT: Human mind is the palace of curious questions that seek answers.
Computational resolution of this challenge is possible through Natural Language
Processing techniques. Statistical techniques like machine ... | {
"abstract": "Human mind is the palace of curious questions that seek answers.\nComputational resolution of this challenge is possible through Natural Language\nProcessing techniques. Statistical techniques like machine learning and deep\nlearning require a lot of data to train and despite that they fail to tap into... | null | null | no_new_dataset | admin | null | false | null | 1d73d664-2fb8-406d-a3df-5a5e29cbd5ce | null | Validated | 2023-10-04 15:19:51.887406 | {
"text_length": 916
} | 1no_new_dataset |
TITLE: Dataset Condensation with Gradient Matching
ABSTRACT: As the state-of-the-art machine learning methods in many fields rely on
larger datasets, storing datasets and training models on them become
significantly more expensive. This paper proposes a training set synthesis
technique for data-efficient learning, ca... | {
"abstract": "As the state-of-the-art machine learning methods in many fields rely on\nlarger datasets, storing datasets and training models on them become\nsignificantly more expensive. This paper proposes a training set synthesis\ntechnique for data-efficient learning, called Dataset Condensation, that learns\nto ... | null | null | no_new_dataset | admin | null | false | null | 64690501-3341-418f-b282-da7220d9880d | null | Validated | 2023-10-04 15:19:51.899731 | {
"text_length": 991
} | 1no_new_dataset |
TITLE: Dataset Bias in the Natural Sciences: A Case Study in Chemical Reaction Prediction and Synthesis Design
ABSTRACT: Datasets in the Natural Sciences are often curated with the goal of aiding
scientific understanding and hence may not always be in a form that facilitates
the application of machine learning. In th... | {
"abstract": "Datasets in the Natural Sciences are often curated with the goal of aiding\nscientific understanding and hence may not always be in a form that facilitates\nthe application of machine learning. In this paper, we identify three trends\nwithin the fields of chemical reaction prediction and synthesis desi... | null | null | no_new_dataset | admin | null | false | null | 339ffb47-739d-4717-b6c9-d3ddf45f62c7 | null | Validated | 2023-10-04 15:19:51.894665 | {
"text_length": 1321
} | 1no_new_dataset |
TITLE: Monant Medical Misinformation Dataset: Mapping Articles to Fact-Checked Claims
ABSTRACT: False information has a significant negative influence on individuals as well
as on the whole society. Especially in the current COVID-19 era, we witness an
unprecedented growth of medical misinformation. To help tackle th... | {
"abstract": "False information has a significant negative influence on individuals as well\nas on the whole society. Especially in the current COVID-19 era, we witness an\nunprecedented growth of medical misinformation. To help tackle this problem\nwith machine learning approaches, we are publishing a feature-rich ... | null | null | new_dataset | admin | null | false | null | 9c10bba4-0302-4a4b-ba29-f59f25d38f86 | null | Validated | 2023-10-04 15:19:51.886869 | {
"text_length": 1033
} | 0new_dataset |
TITLE: Evaluation of Chinese-English Machine Translation of Emotion-Loaded Microblog Texts: A Human Annotated Dataset for the Quality Assessment of Emotion Translation
ABSTRACT: In this paper, we focus on how current Machine Translation (MT) tools perform
on the translation of emotion-loaded texts by evaluating outpu... | {
"abstract": "In this paper, we focus on how current Machine Translation (MT) tools perform\non the translation of emotion-loaded texts by evaluating outputs from Google\nTranslate according to a framework proposed in this paper. We propose this\nevaluation framework based on the Multidimensional Quality Metrics (MQ... | null | null | new_dataset | admin | null | false | null | 17992f71-bba4-4950-880a-8c6c1295bde9 | null | Validated | 2023-10-04 15:19:51.870234 | {
"text_length": 858
} | 0new_dataset |
TITLE: A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering
ABSTRACT: Legislation can be viewed as a body of prescriptive rules expressed in
natural language. The application of legislation to facts of a case we refer to
as statutory reasoning, where those facts are also expressed in natural... | {
"abstract": "Legislation can be viewed as a body of prescriptive rules expressed in\nnatural language. The application of legislation to facts of a case we refer to\nas statutory reasoning, where those facts are also expressed in natural\nlanguage. Computational statutory reasoning is distinct from most existing wo... | null | null | new_dataset | admin | null | false | null | aab60b27-f2f1-4c7f-abed-f9b8651b53a0 | null | Validated | 2023-10-04 15:19:51.899998 | {
"text_length": 1343
} | 0new_dataset |
TITLE: A Dataset-Level Geometric Framework for Ensemble Classifiers
ABSTRACT: Ensemble classifiers have been investigated by many in the artificial
intelligence and machine learning community. Majority voting and weighted
majority voting are two commonly used combination schemes in ensemble learning.
However, underst... | {
"abstract": "Ensemble classifiers have been investigated by many in the artificial\nintelligence and machine learning community. Majority voting and weighted\nmajority voting are two commonly used combination schemes in ensemble learning.\nHowever, understanding of them is incomplete at best, with some properties e... | null | null | no_new_dataset | admin | null | false | null | 359c0495-400f-4ad8-b7e1-efae79e4d313 | null | Validated | 2023-10-04 15:19:51.894192 | {
"text_length": 1600
} | 1no_new_dataset |
TITLE: BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation
ABSTRACT: Recent advances in deep learning techniques have enabled machines to generate
cohesive open-ended text when prompted with a sequence of words as context.
While these models now empower many downstream applications from c... | {
"abstract": "Recent advances in deep learning techniques have enabled machines to generate\ncohesive open-ended text when prompted with a sequence of words as context.\nWhile these models now empower many downstream applications from conversation\nbots to automatic storytelling, they have been shown to generate tex... | null | null | new_dataset | admin | null | false | null | 454b438c-a6dd-43f3-9eeb-77caa589922f | null | Validated | 2023-10-04 15:19:51.896133 | {
"text_length": 1365
} | 0new_dataset |
TITLE: Enhancing Mortality Prediction in Heart Failure Patients: Exploring Preprocessing Methods for Imbalanced Clinical Datasets
ABSTRACT: Heart failure (HF) is a critical condition in which the accurate prediction
of mortality plays a vital role in guiding patient management decisions.
However, clinical datasets us... | {
"abstract": "Heart failure (HF) is a critical condition in which the accurate prediction\nof mortality plays a vital role in guiding patient management decisions.\nHowever, clinical datasets used for mortality prediction in HF often suffer\nfrom an imbalanced distribution of classes, posing significant challenges. ... | null | null | no_new_dataset | admin | null | false | null | 49bfecdd-c83c-4347-b136-72300d5ee06c | null | Validated | 2023-10-04 15:19:51.862912 | {
"text_length": 1514
} | 1no_new_dataset |
TITLE: Multi-feature Dataset for Windows PE Malware Classification
ABSTRACT: This paper describes a multi-feature dataset for training machine learning
classifiers for detecting malicious Windows Portable Executable (PE) files. The
dataset includes four feature sets from 18,551 binary samples belonging to five
malwar... | {
"abstract": "This paper describes a multi-feature dataset for training machine learning\nclassifiers for detecting malicious Windows Portable Executable (PE) files. The\ndataset includes four feature sets from 18,551 binary samples belonging to five\nmalware families including Spyware, Ransomware, Downloader, Backd... | null | null | new_dataset | admin | null | false | null | 59ca26fc-a4b8-4f78-94dd-16d31625ab97 | null | Validated | 2023-10-04 15:19:51.883255 | {
"text_length": 908
} | 0new_dataset |
TITLE: METS-CoV: A Dataset of Medical Entity and Targeted Sentiment on COVID-19 Related Tweets
ABSTRACT: The COVID-19 pandemic continues to bring up various topics discussed or
debated on social media. In order to explore the impact of pandemics on
people's lives, it is crucial to understand the public's concerns and... | {
"abstract": "The COVID-19 pandemic continues to bring up various topics discussed or\ndebated on social media. In order to explore the impact of pandemics on\npeople's lives, it is crucial to understand the public's concerns and attitudes\ntowards pandemic-related entities (e.g., drugs, vaccines) on social media.\n... | null | null | new_dataset | admin | null | false | null | 401077d3-09e9-4b72-914e-7e0d65b3e45d | null | Validated | 2023-10-04 15:19:51.883760 | {
"text_length": 1979
} | 0new_dataset |
TITLE: An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification
ABSTRACT: Precise and efficient automated identification of Gastrointestinal (GI) tract
diseases can help doctors treat more patients and improve the ... | {
"abstract": "Precise and efficient automated identification of Gastrointestinal (GI) tract\ndiseases can help doctors treat more patients and improve the rate of disease\ndetection and identification. Currently, automatic analysis of diseases in the\nGI tract is a hot topic in both computer science and medical-rela... | null | null | no_new_dataset | admin | null | false | null | a21c3561-2dd3-4a4c-9790-b694c72641e3 | null | Validated | 2023-10-04 15:19:51.900094 | {
"text_length": 2111
} | 1no_new_dataset |
TITLE: Intrinsic Bias Identification on Medical Image Datasets
ABSTRACT: Machine learning based medical image analysis highly depends on datasets.
Biases in the dataset can be learned by the model and degrade the
generalizability of the applications. There are studies on debiased models.
However, scientists and pract... | {
"abstract": "Machine learning based medical image analysis highly depends on datasets.\nBiases in the dataset can be learned by the model and degrade the\ngeneralizability of the applications. There are studies on debiased models.\nHowever, scientists and practitioners are difficult to identify implicit biases\nin ... | null | null | no_new_dataset | admin | null | false | null | 55e2a4bf-c990-4bbd-8bdd-7ec9dca77f04 | null | Validated | 2023-10-04 15:19:51.887499 | {
"text_length": 1027
} | 1no_new_dataset |
TITLE: Space, Time, and Interaction: A Taxonomy of Corner Cases in Trajectory Datasets for Automated Driving
ABSTRACT: Trajectory data analysis is an essential component for highly automated
driving. Complex models developed with these data predict other road users'
movement and behavior patterns. Based on these pred... | {
"abstract": "Trajectory data analysis is an essential component for highly automated\ndriving. Complex models developed with these data predict other road users'\nmovement and behavior patterns. Based on these predictions - and additional\ncontextual information such as the course of the road, (traffic) rules, and\... | null | null | no_new_dataset | admin | null | false | null | 62c45eb5-fb7e-4161-9927-0f3104cea3d9 | null | Validated | 2023-10-04 15:19:51.883452 | {
"text_length": 1401
} | 1no_new_dataset |
TITLE: Sentiment Analysis of Persian Language: Review of Algorithms, Approaches and Datasets
ABSTRACT: Sentiment analysis aims to extract people's emotions and opinion from their
comments on the web. It widely used in businesses to detect sentiment in social
data, gauge brand reputation, and understand customers. Mos... | {
"abstract": "Sentiment analysis aims to extract people's emotions and opinion from their\ncomments on the web. It widely used in businesses to detect sentiment in social\ndata, gauge brand reputation, and understand customers. Most of articles in\nthis area have concentrated on the English language whereas there ar... | null | null | no_new_dataset | admin | null | false | null | 28a03d50-7c85-4a8b-aea1-a81c38f5012b | null | Validated | 2023-10-04 15:19:51.882940 | {
"text_length": 1311
} | 1no_new_dataset |
TITLE: Efficient Large Scale Medical Image Dataset Preparation for Machine Learning Applications
ABSTRACT: In the rapidly evolving field of medical imaging, machine learning algorithms
have become indispensable for enhancing diagnostic accuracy. However, the
effectiveness of these algorithms is contingent upon the av... | {
"abstract": "In the rapidly evolving field of medical imaging, machine learning algorithms\nhave become indispensable for enhancing diagnostic accuracy. However, the\neffectiveness of these algorithms is contingent upon the availability and\norganization of high-quality medical imaging datasets. Traditional Digital... | null | null | no_new_dataset | admin | null | false | null | 804eb9d6-26b6-4a2f-bf61-c8edbaa10136 | null | Validated | 2023-10-04 15:19:51.862964 | {
"text_length": 1782
} | 1no_new_dataset |
TITLE: Composite Score for Anomaly Detection in Imbalanced Real-World Industrial Dataset
ABSTRACT: In recent years, the industrial sector has evolved towards its fourth
revolution. The quality control domain is particularly interested in advanced
machine learning for computer vision anomaly detection. Nevertheless, s... | {
"abstract": "In recent years, the industrial sector has evolved towards its fourth\nrevolution. The quality control domain is particularly interested in advanced\nmachine learning for computer vision anomaly detection. Nevertheless, several\nchallenges have to be faced, including imbalanced datasets, the image\ncom... | null | null | no_new_dataset | admin | null | false | null | e6b2a322-86eb-4355-8402-7dd4c71442ba | null | Validated | 2023-10-04 15:19:51.882652 | {
"text_length": 1169
} | 1no_new_dataset |
TITLE: Synthetic Dataset Generation for Privacy-Preserving Machine Learning
ABSTRACT: Machine Learning (ML) has achieved enormous success in solving a variety of
problems in computer vision, speech recognition, object detection, to name a
few. The principal reason for this success is the availability of huge datasets... | {
"abstract": "Machine Learning (ML) has achieved enormous success in solving a variety of\nproblems in computer vision, speech recognition, object detection, to name a\nfew. The principal reason for this success is the availability of huge datasets\nfor training deep neural networks (DNNs). However, datasets can not... | null | null | no_new_dataset | admin | null | false | null | 7aea2fea-96db-4732-8496-7f4da428882c | null | Validated | 2023-10-04 15:19:51.883665 | {
"text_length": 1580
} | 1no_new_dataset |
TITLE: A Large-Scale Annotated Multivariate Time Series Aviation Maintenance Dataset from the NGAFID
ABSTRACT: This paper presents the largest publicly available, non-simulated, fleet-wide
aircraft flight recording and maintenance log data for use in predicting part
failure and maintenance need. We present 31,177 hou... | {
"abstract": "This paper presents the largest publicly available, non-simulated, fleet-wide\naircraft flight recording and maintenance log data for use in predicting part\nfailure and maintenance need. We present 31,177 hours of flight data across\n28,935 flights, which occur relative to 2,111 unplanned maintenance ... | null | null | new_dataset | admin | null | false | null | 30c6cddb-32c6-4d1c-b1a7-c489d11229df | null | Validated | 2023-10-04 15:19:51.883498 | {
"text_length": 1669
} | 0new_dataset |
TITLE: MSCTD: A Multimodal Sentiment Chat Translation Dataset
ABSTRACT: Multimodal machine translation and textual chat translation have received
considerable attention in recent years. Although the conversation in its
natural form is usually multimodal, there still lacks work on multimodal
machine translation in con... | {
"abstract": "Multimodal machine translation and textual chat translation have received\nconsiderable attention in recent years. Although the conversation in its\nnatural form is usually multimodal, there still lacks work on multimodal\nmachine translation in conversations. In this work, we introduce a new task\nnam... | null | null | new_dataset | admin | null | false | null | 3645a88e-a862-4859-9224-ee3afba8a77e | null | Validated | 2023-10-04 15:19:51.887997 | {
"text_length": 1503
} | 0new_dataset |
TITLE: A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication
ABSTRACT: Datasets are central to training machine learning (ML) models. The ML
community has recently made significant improvements to data stewardship and
documentation practices across the model development ... | {
"abstract": "Datasets are central to training machine learning (ML) models. The ML\ncommunity has recently made significant improvements to data stewardship and\ndocumentation practices across the model development life cycle. However, the\nact of deprecating, or deleting, datasets has been largely overlooked, and\... | null | null | no_new_dataset | admin | null | false | null | 488a7ea5-1bd8-441c-947b-e4bb82531a6d | null | Validated | 2023-10-04 15:19:51.890320 | {
"text_length": 1313
} | 1no_new_dataset |
TITLE: Analyzing Dataset Annotation Quality Management in the Wild
ABSTRACT: Data quality is crucial for training accurate, unbiased, and trustworthy
machine learning models and their correct evaluation. Recent works, however,
have shown that even popular datasets used to train and evaluate
state-of-the-art models co... | {
"abstract": "Data quality is crucial for training accurate, unbiased, and trustworthy\nmachine learning models and their correct evaluation. Recent works, however,\nhave shown that even popular datasets used to train and evaluate\nstate-of-the-art models contain a non-negligible amount of erroneous\nannotations, bi... | null | null | no_new_dataset | admin | null | false | null | e8ea3607-9223-4b42-8dd7-16daef1cefd2 | null | Validated | 2023-10-04 15:19:51.867080 | {
"text_length": 1475
} | 1no_new_dataset |
TITLE: Elements of effective machine learning datasets in astronomy
ABSTRACT: In this work, we identify elements of effective machine learning datasets in
astronomy and present suggestions for their design and creation. Machine
learning has become an increasingly important tool for analyzing and
understanding the lar... | {
"abstract": "In this work, we identify elements of effective machine learning datasets in\nastronomy and present suggestions for their design and creation. Machine\nlearning has become an increasingly important tool for analyzing and\nunderstanding the large-scale flood of data in astronomy. To take advantage of\nt... | null | null | no_new_dataset | admin | null | false | null | 10f51720-501d-4239-a327-860125199b8a | null | Validated | 2023-10-04 15:19:51.882629 | {
"text_length": 1327
} | 1no_new_dataset |
TITLE: MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge
ABSTRACT: The widespread diffusion of connected smart devices has contributed to the
rapid expansion and evolution of the Internet at its edge. Personal mobile
devices interact with other smart objects in their su... | {
"abstract": "The widespread diffusion of connected smart devices has contributed to the\nrapid expansion and evolution of the Internet at its edge. Personal mobile\ndevices interact with other smart objects in their surroundings, adapting\nbehavior based on rapidly changing user context. The ability of mobile devic... | null | null | new_dataset | admin | null | false | null | 838c9801-0d70-4eb5-a7ca-3dd90d2bd5d3 | null | Validated | 2023-10-04 15:19:51.869311 | {
"text_length": 1785
} | 0new_dataset |
TITLE: Grain and Grain Boundary Segmentation using Machine Learning with Real and Generated Datasets
ABSTRACT: We report significantly improved accuracy of grain boundary segmentation
using Convolutional Neural Networks (CNN) trained on a combination of real and
generated data. Manual segmentation is accurate but tim... | {
"abstract": "We report significantly improved accuracy of grain boundary segmentation\nusing Convolutional Neural Networks (CNN) trained on a combination of real and\ngenerated data. Manual segmentation is accurate but time-consuming, and\nexisting computational methods are faster but often inaccurate. To combat th... | null | null | new_dataset | admin | null | false | null | 4c7dc54c-eb35-4d8d-92ff-a20b7733d2c9 | null | Validated | 2023-10-04 15:19:51.867523 | {
"text_length": 1554
} | 0new_dataset |
TITLE: EPIE Dataset: A Corpus For Possible Idiomatic Expressions
ABSTRACT: Idiomatic expressions have always been a bottleneck for language
comprehension and natural language understanding, specifically for tasks like
Machine Translation(MT). MT systems predominantly produce literal translations
of idiomatic expressi... | {
"abstract": "Idiomatic expressions have always been a bottleneck for language\ncomprehension and natural language understanding, specifically for tasks like\nMachine Translation(MT). MT systems predominantly produce literal translations\nof idiomatic expressions as they do not exhibit generic and linguistically\nde... | null | null | new_dataset | admin | null | false | null | b472efe6-92a7-4ee1-a3dc-fe47bada5979 | null | Validated | 2023-10-04 15:19:51.899564 | {
"text_length": 1556
} | 0new_dataset |
TITLE: A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets
ABSTRACT: A machine can understand human activities, and the meaning of signs can help
overcome the communication barriers between the inaudible and ordinary people.
Sign Language Recognition (SLR) is a fascinating r... | {
"abstract": "A machine can understand human activities, and the meaning of signs can help\novercome the communication barriers between the inaudible and ordinary people.\nSign Language Recognition (SLR) is a fascinating research area and a crucial\ntask concerning computer vision and pattern recognition. Recently, ... | null | null | no_new_dataset | admin | null | false | null | be84e115-3d65-404e-b8a7-ac6c5e79679c | null | Validated | 2023-10-04 15:19:51.887188 | {
"text_length": 1231
} | 1no_new_dataset |
TITLE: A universal synthetic dataset for machine learning on spectroscopic data
ABSTRACT: To assist in the development of machine learning methods for automated
classification of spectroscopic data, we have generated a universal synthetic
dataset that can be used for model validation. This dataset contains artificial... | {
"abstract": "To assist in the development of machine learning methods for automated\nclassification of spectroscopic data, we have generated a universal synthetic\ndataset that can be used for model validation. This dataset contains artificial\nspectra designed to represent experimental measurements from techniques... | null | null | new_dataset | admin | null | false | null | 3b5aa46c-1600-414e-96b9-4f0a87a2e7ba | null | Validated | 2023-10-04 15:19:51.885819 | {
"text_length": 1201
} | 0new_dataset |
TITLE: t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning
ABSTRACT: Inspired by the recent achievements of machine learning in diverse domains,
data-driven metamaterials design has emerged as a compelling paradigm that can
unlock the potential of multiscale architectures. ... | {
"abstract": "Inspired by the recent achievements of machine learning in diverse domains,\ndata-driven metamaterials design has emerged as a compelling paradigm that can\nunlock the potential of multiscale architectures. The model-centric research\ntrend, however, lacks principled frameworks dedicated to data acquis... | null | null | no_new_dataset | admin | null | false | null | fc0df2fa-78eb-41e5-8564-42530e2b3306 | null | Validated | 2023-10-04 15:19:51.888171 | {
"text_length": 1664
} | 1no_new_dataset |
TITLE: Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
ABSTRACT: Data is the engine of modern computer vision, which necessitates collecting
large-scale datasets. This is expensive, and guaranteeing the quality of the
labels is a major challenge. In this paper, we investiga... | {
"abstract": "Data is the engine of modern computer vision, which necessitates collecting\nlarge-scale datasets. This is expensive, and guaranteeing the quality of the\nlabels is a major challenge. In this paper, we investigate efficient annotation\nstrategies for collecting multi-class classification labels for a l... | null | null | no_new_dataset | admin | null | false | null | 4893023b-7647-41ee-94e6-fe21bae5167c | null | Validated | 2023-10-04 15:19:51.894837 | {
"text_length": 1568
} | 1no_new_dataset |
TITLE: MultiWOZ-DF -- A Dataflow implementation of the MultiWOZ dataset
ABSTRACT: Semantic Machines (SM) have introduced the use of the dataflow (DF) paradigm
to dialogue modelling, using computational graphs to hierarchically represent
user requests, data, and the dialogue history [Semantic Machines et al. 2020].
Al... | {
"abstract": "Semantic Machines (SM) have introduced the use of the dataflow (DF) paradigm\nto dialogue modelling, using computational graphs to hierarchically represent\nuser requests, data, and the dialogue history [Semantic Machines et al. 2020].\nAlthough the main focus of that paper was the SMCalFlow dataset (t... | null | null | no_new_dataset | admin | null | false | null | 179b9cff-02d5-4dec-9f40-b2cd7e6d34eb | null | Validated | 2023-10-04 15:19:51.883091 | {
"text_length": 1074
} | 1no_new_dataset |
TITLE: Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
ABSTRACT: The shape and motion of the heart provide essential clues to understanding
the mechanisms of cardiovascular disease. With the advent of large-scale
cardiac imaging data, statistical atlases become a powerf... | {
"abstract": "The shape and motion of the heart provide essential clues to understanding\nthe mechanisms of cardiovascular disease. With the advent of large-scale\ncardiac imaging data, statistical atlases become a powerful tool to provide\nautomated and precise quantification of the status of patient-specific heart... | null | null | no_new_dataset | admin | null | false | null | 342c5e74-710d-4ba1-856e-60281de6d495 | null | Validated | 2023-10-04 15:19:51.890198 | {
"text_length": 1840
} | 1no_new_dataset |
TITLE: SODA: Site Object Detection dAtaset for Deep Learning in Construction
ABSTRACT: Computer vision-based deep learning object detection algorithms have been
developed sufficiently powerful to support the ability to recognize various
objects. Although there are currently general datasets for object detection,
ther... | {
"abstract": "Computer vision-based deep learning object detection algorithms have been\ndeveloped sufficiently powerful to support the ability to recognize various\nobjects. Although there are currently general datasets for object detection,\nthere is still a lack of large-scale, open-source dataset for the constru... | null | null | new_dataset | admin | null | false | null | 6f4cd0f4-268f-4df4-a1e0-0ca594115151 | null | Validated | 2023-10-04 15:19:51.888195 | {
"text_length": 1759
} | 0new_dataset |
TITLE: Towards an AI-enabled Connected Industry: AGV Communication and Sensor Measurement Datasets
ABSTRACT: This paper presents two wireless measurement campaigns in industrial
testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial
Vehicle-to-infrastructure plus Sensor (iV2I+), together with detailed
informat... | {
"abstract": "This paper presents two wireless measurement campaigns in industrial\ntestbeds: industrial Vehicle-to-vehicle (iV2V) and industrial\nVehicle-to-infrastructure plus Sensor (iV2I+), together with detailed\ninformation about the two captured datasets. iV2V covers sidelink communication\nscenarios between ... | null | null | no_new_dataset | admin | null | false | null | 62494be6-a749-4668-a401-35235b795f1c | null | Validated | 2023-10-04 15:19:51.881972 | {
"text_length": 971
} | 1no_new_dataset |
TITLE: Ensemble Classifier Design Tuned to Dataset Characteristics for Network Intrusion Detection
ABSTRACT: Machine Learning-based supervised approaches require highly customized and
fine-tuned methodologies to deliver outstanding performance. This paper
presents a dataset-driven design and performance evaluation of... | {
"abstract": "Machine Learning-based supervised approaches require highly customized and\nfine-tuned methodologies to deliver outstanding performance. This paper\npresents a dataset-driven design and performance evaluation of a machine\nlearning classifier for the network intrusion dataset UNSW-NB15. Analysis of\nth... | null | null | no_new_dataset | admin | null | false | null | 294e3ef9-22f8-4432-b3ca-4adecd5eff00 | null | Validated | 2023-10-04 15:19:51.886562 | {
"text_length": 1498
} | 1no_new_dataset |
TITLE: Interactive exploration of population scale pharmacoepidemiology datasets
ABSTRACT: Population-scale drug prescription data linked with adverse drug reaction
(ADR) data supports the fitting of models large enough to detect drug use and
ADR patterns that are not detectable using traditional methods on smaller
d... | {
"abstract": "Population-scale drug prescription data linked with adverse drug reaction\n(ADR) data supports the fitting of models large enough to detect drug use and\nADR patterns that are not detectable using traditional methods on smaller\ndatasets. However, detecting ADR patterns in large datasets requires tools... | null | null | no_new_dataset | admin | null | false | null | 79e087ae-beb5-4265-9a86-b2c8d9d5e6aa | null | Validated | 2023-10-04 15:19:51.899903 | {
"text_length": 1511
} | 1no_new_dataset |
TITLE: Is augmentation effective to improve prediction in imbalanced text datasets?
ABSTRACT: Imbalanced datasets present a significant challenge for machine learning
models, often leading to biased predictions. To address this issue, data
augmentation techniques are widely used in natural language processing (NLP) t... | {
"abstract": "Imbalanced datasets present a significant challenge for machine learning\nmodels, often leading to biased predictions. To address this issue, data\naugmentation techniques are widely used in natural language processing (NLP) to\ngenerate new samples for the minority class. However, in this paper, we\nc... | null | null | no_new_dataset | admin | null | false | null | 557d240f-f5e9-435f-9fa6-fce550c90c05 | null | Validated | 2023-10-04 15:19:51.879827 | {
"text_length": 993
} | 1no_new_dataset |
TITLE: GECTurk: Grammatical Error Correction and Detection Dataset for Turkish
ABSTRACT: Grammatical Error Detection and Correction (GEC) tools have proven useful for
native speakers and second language learners. Developing such tools requires a
large amount of parallel, annotated data, which is unavailable for most
... | {
"abstract": "Grammatical Error Detection and Correction (GEC) tools have proven useful for\nnative speakers and second language learners. Developing such tools requires a\nlarge amount of parallel, annotated data, which is unavailable for most\nlanguages. Synthetic data generation is a common practice to overcome t... | null | null | new_dataset | admin | null | false | null | 3ebdf7a8-8877-444a-95ef-591a72f782ed | null | Validated | 2023-10-04 15:19:51.863395 | {
"text_length": 1700
} | 0new_dataset |
TITLE: OpenEDS2020: Open Eyes Dataset
ABSTRACT: We present the second edition of OpenEDS dataset, OpenEDS2020, a novel
dataset of eye-image sequences captured at a frame rate of 100 Hz under
controlled illumination, using a virtual-reality head-mounted display mounted
with two synchronized eye-facing cameras. The dat... | {
"abstract": "We present the second edition of OpenEDS dataset, OpenEDS2020, a novel\ndataset of eye-image sequences captured at a frame rate of 100 Hz under\ncontrolled illumination, using a virtual-reality head-mounted display mounted\nwith two synchronized eye-facing cameras. The dataset, which is anonymized to\n... | null | null | new_dataset | admin | null | false | null | 3c91fcb2-627f-4f30-888a-f6e3fa315c73 | null | Validated | 2023-10-04 15:19:51.900118 | {
"text_length": 1632
} | 0new_dataset |
TITLE: More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering
ABSTRACT: Textual Question Answering (QA) aims to provide precise answers to user's
questions in natural language using unstructured data. One of the most popular
approaches to this goal is machine reading comprehen... | {
"abstract": "Textual Question Answering (QA) aims to provide precise answers to user's\nquestions in natural language using unstructured data. One of the most popular\napproaches to this goal is machine reading comprehension(MRC). In recent years,\nmany novel datasets and evaluation metrics based on classical MRC t... | null | null | no_new_dataset | admin | null | false | null | 5df667ab-c5c7-4727-97c8-5b11f49ebcec | null | Validated | 2023-10-04 15:19:51.891948 | {
"text_length": 791
} | 1no_new_dataset |
TITLE: A Dataset of Kurdish (Sorani) Named Entities -- An Amendment to Kurdish-BLARK Named Entities
ABSTRACT: Named Entity Recognition (NER) is one of the essential applications of
Natural Language Processing (NLP). It is also an instrument that plays a
significant role in many other NLP applications, such as Machine... | {
"abstract": "Named Entity Recognition (NER) is one of the essential applications of\nNatural Language Processing (NLP). It is also an instrument that plays a\nsignificant role in many other NLP applications, such as Machine Translation\n(MT), Information Retrieval (IR), and Part of Speech Tagging (POST). Kurdish is... | null | null | new_dataset | admin | null | false | null | a2e660ba-a2ed-4b52-96b4-c743cabb58ae | null | Validated | 2023-10-04 15:19:51.881533 | {
"text_length": 984
} | 0new_dataset |
TITLE: Learning from Sparse Datasets: Predicting Concrete's Strength by Machine Learning
ABSTRACT: Despite enormous efforts over the last decades to establish the relationship
between concrete proportioning and strength, a robust knowledge-based model for
accurate concrete strength predictions is still lacking. As an... | {
"abstract": "Despite enormous efforts over the last decades to establish the relationship\nbetween concrete proportioning and strength, a robust knowledge-based model for\naccurate concrete strength predictions is still lacking. As an alternative to\nphysical or chemical-based models, data-driven machine learning (... | null | null | no_new_dataset | admin | null | false | null | 515986bc-d6cc-4874-8bae-21b004a55284 | null | Validated | 2023-10-04 15:19:51.900422 | {
"text_length": 1313
} | 1no_new_dataset |
TITLE: Retiring Adult: New Datasets for Fair Machine Learning
ABSTRACT: Although the fairness community has recognized the importance of data,
researchers in the area primarily rely on UCI Adult when it comes to tabular
data. Derived from a 1994 US Census survey, this dataset has appeared in
hundreds of research pape... | {
"abstract": "Although the fairness community has recognized the importance of data,\nresearchers in the area primarily rely on UCI Adult when it comes to tabular\ndata. Derived from a 1994 US Census survey, this dataset has appeared in\nhundreds of research papers where it served as the basis for the development\na... | null | null | new_dataset | admin | null | false | null | 301f3eac-c801-4cda-87be-763a08ba9b20 | null | Validated | 2023-10-04 15:19:51.892977 | {
"text_length": 1402
} | 0new_dataset |
TITLE: A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset
ABSTRACT: In an effort to catalog insect biodiversity, we propose a new large dataset
of hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is
taxonomically classified by an expert, and also has associated genetic... | {
"abstract": "In an effort to catalog insect biodiversity, we propose a new large dataset\nof hand-labelled insect images, the BIOSCAN-Insect Dataset. Each record is\ntaxonomically classified by an expert, and also has associated genetic\ninformation including raw nucleotide barcode sequences and assigned barcode\ni... | null | null | new_dataset | admin | null | false | null | 4442b601-6f77-494e-8b70-54a97754b425 | null | Validated | 2023-10-04 15:19:51.865552 | {
"text_length": 1479
} | 0new_dataset |
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