Most cited computer science papers
- Verified
MineRL: A Large-Scale Dataset of Minecraft Demonstrations
Guss, W. H., Houghton, B., Topin, N., Wang, P., Codel, C., Veloso, M., & Salakhutdinov, R. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 94
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Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction
Tan, Q., Xu, L., Bing, L., Ng, H. T., & Aljunied, S. M. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 94
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Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review: Scoping review examines racial and ethnic bias in clinical algorithms
Cary, M. P., Zink, A., Wei, S., Olson, A., Yan, M., Senior, R., Bessias, S., Gadhoumi, K., Jean-Pierre, G., Wang, D., et al. (2023) · Health Affairs
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 94
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Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation
Yang, Y., Liu, X., Jin, Q., Huang, F., & Lu, Z. (2024) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 94
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COM: A method for mining and monitoring human activity patterns in home-based health monitoring systems
Rashidi, P., & Cook, D. J. (2013) · ACM Transactions on Intelligent Systems and Technology
Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis
Cited by 94
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Experimental Estimation of Quantum State Properties from Classical Shadows
Struchalin, G. I., Zagorovskii, Y. A., Kovlakov, E. V., Straupe, S. S., & Kulik, S. P. (2021) · PRX Quantum
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 94
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I saw this and thought of you: some social uses of camera phones
Kindberg, T., Spasojevic, M., Fleck, R., & Sellen, A. (2005) · CHI '05 Extended Abstracts on Human Factors in Computing Systems
Innovative Human-Technology InteractionDigital Communication and Language
Cited by 94
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EdgeEye: An Edge Service Framework for Real-time Intelligent Video Analytics
Liu, P., Qi, B., & Banerjee, S. (2018) · Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking
IoT and Edge/Fog ComputingAdvanced Neural Network Applications
Cited by 93
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A Sim-to-Real Pipeline for Deep Reinforcement Learning for Autonomous Robot Navigation in Cluttered Rough Terrain
Hu, H., Zhang, K., Tan, A. H., Ruan, M., Agia, C. G., & Nejat, G. (2021) · IEEE Robotics and Automation Letters
Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization
Cited by 93
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The SHEILA Framework: Informing Institutional Strategies and Policy Processes of Learning Analytics
Tsai, Y.-S., Moreno-Marcos, P. M., Jivet, I., Scheffel, M., Tammets, K., Kollom, K., & Gašević, D. (2018) · Journal of Learning Analytics
Online Learning and AnalyticsDigital Transformation of Higher Education
Cited by 93
- Verified · note
Object Detection with Transformers: A Review
Shehzadi, T., Hashmi, K. A., Liwicki, M., Stricker, D., & Afzal, M. Z. (2025) · Sensors
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 93
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Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
Kallus, N., Mao, X., & Zhou, A. (2022) · Management Science
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 93
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Benevolent deception in human computer interaction
Adar, E., Tan, D. S., & Teevan, J. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionUsability and User Interface Design
Cited by 93
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Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning
Juliani, A., Khalifa, A., Berges, V.-P., Harper, J., Teng, E., Henry, H., Crespi, A., Togelius, J., & Lange, D. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 93
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The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset
Laurençon, H., Saulnier, L., Wang, T., Akiki, C., del Moral, A. V., Scao, T. L., Von Werra, L., Mou, C., Ponferrada, E. G., Nguyen, H., et al. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 93
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Standardization, Objectivity, and User Focus: A Meta-Analysis of Subject Access Critiques
Olson, H. A., & Schlegl, R. (2001) · Cataloging & Classification Quarterly
Library Science and Information SystemsLibrary Science and Administration
Cited by 93
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Information privacy, impact assessment, and the place of ethics
Raab, C. D. (2020) · Computer Law & Security Review
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 93
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Demand Characteristics Confound the Rubber Hand Illusion
Lush, P. (2020) · Collabra: Psychology
Virtual Reality Applications and ImpactsFree Will and Agency
Cited by 93
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Learning analytics: state of the art
Hernández-de-Menéndez, M., Morales-Menendez, R., Escobar, C. A., & Ramírez Mendoza, R. A. (2022) · International Journal on Interactive Design and Manufacturing (IJIDeM)
Online Learning and AnalyticsEducational and Technological Research
Cited by 93
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Multi-modal Auto-Encoders as Joint Estimators for Robotics Scene Understanding
Cadena, C., Dick, A., & D. Reid, I. (2016) · Robotics: Science and Systems XII
Advanced Vision and ImagingRobotics and Sensor-Based Localization
Cited by 93
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The benefits of DOF separation in mid-air 3D object manipulation
Mendes, D., Relvas, F., Ferreira, A., & Jorge, J. (2016) · Proceedings of the 22nd ACM Conference on Virtual Reality Software and Technology
Interactive and Immersive DisplaysHand Gesture Recognition Systems
Cited by 93
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Generating Natural Language Question-Answer Pairs from a Knowledge Graph Using a RNN Based Question Generation Model
Reddy, S., Raghu, D., Khapra, M. M., & Joshi, S. (2017) · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Topic ModelingNatural Language Processing Techniques
Cited by 93
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Speech Translation and the End-to-End Promise: Taking Stock of Where We Are
Sperber, M., & Paulik, M. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 93
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Explicity formulas for weighting coefficients of maximally flat tunable FIR delays
Hermanowicz, E. (1992) · Electronics Letters
Digital Filter Design and ImplementationAnalog and Mixed-Signal Circuit Design
Cited by 93
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