Most cited computer science papers
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A FAIR guide for data providers to maximise sharing of human genomic data
Corpas, M., Kovalevskaya, N. V., McMurray, A., & Nielsen, F. G. G. (2018) · PLOS Computational Biology
Research Data Management PracticesScientific Computing and Data Management
Cited by 44
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Measuring the Accuracy of Automatic Speech Recognition Solutions
Kuhn, K., Kersken, V., Reuter, B., Egger, N., & Zimmermann, G. (2023) · ACM Transactions on Accessible Computing
Speech Recognition and SynthesisSubtitles and Audiovisual Media
Cited by 44
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Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian
Oymak, S., Fabian, Z., Li, M., & Soltanolkotabi, M. (2019) · arXiv
Stochastic Gradient Optimization TechniquesNeural Networks and Applications
Cited by 44
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Unsupervised deep learning to detect agitation from videos in people with dementia
Khan, S. S., Mishra, P. K., Javed, N., Ye, B., Newman, K., Mihailidis, A., & Iaboni, A. (2022) · IEEE Access
Anomaly Detection Techniques and ApplicationsDementia and Cognitive Impairment Research
Cited by 44
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Are You Suggesting That’s My Hand? The Relation Between Hypnotic Suggestibility and the Rubber Hand Illusion
Walsh, E., Guilmette, D. N., Longo, M. R., Moore, J. W., Oakley, D. A., Halligan, P. W., Mehta, M. A., & Deeley, Q. (2015) · Perception
Virtual Reality Applications and ImpactsPain Management and Placebo Effect
Cited by 44
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Bounding the average gate fidelity of composite channels using the unitarity
Carignan-Dugas, A., Wallman, J. J., & Emerson, J. (2019) · New Journal of Physics
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 44
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Noise Estimation for Generative Diffusion Models
San-Roman, R., Nachmani, E., & Wolf, L. (2021) · arXiv
Generative Adversarial Networks and Image SynthesisImage and Signal Denoising Methods
Cited by 44
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Integrating Security with DevSecOps: Techniques and Challenges
Ahmed, Z., & Francis, S. C. (2019) · 2019 International Conference on Digitization (ICD)
Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities
Cited by 44
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DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
Hossain, M. T., Islam, S., Badsha, S., & Shen, H. (2021) · 2021 17th International Conference on Mobility, Sensing and Networking (MSN)
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 44
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FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information
Ho, T.-T., Tran, K.-D., & Huang, Y. (2022) · Sensors
Privacy-Preserving Technologies in DataCOVID-19 diagnosis using AI
Cited by 44
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Understanding Self-attention Mechanism via Dynamical System Perspective
Huang, Z., Liang, M., Qin, J., Zhong, S., & Lin, L. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsNeural Networks and Applications
Cited by 44
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Accelerating robotic reinforcement learning via parameterized action primitives
Dalal, M., Pathak, D., & Salakhutdinov, R. (2021) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 44
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Multipatch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images
Shamsolmoali, P., Chanussot, J., Zareapoor, M., Zhou, H., & Yang, J. (2022) · IEEE Transactions on Geoscience and Remote Sensing
Remote-Sensing Image ClassificationAdvanced Neural Network Applications
Cited by 44
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Experiences with Improving the Transparency of AI Models and Services
Hind, M., Houde, S., Martino, J., Mojsilovic, A., Piorkowski, D., Richards, J., & Varshney, K. R. (2020) · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 44
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Co-designing a Self-Management App Prototype to Support People With Spinal Cord Injury in the Prevention of Pressure Injuries: Mixed Methods Study
Amann, J., Fiordelli, M., Brach, M., Bertschy, S., Scheel-Sailer, A., & Rubinelli, S. (2020) · JMIR mHealth and uHealth
Usability and User Interface DesignMobile Health and mHealth Applications
Cited by 44
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How good is my feedback?: a content analysis of written feedback
Cavalcanti, A. P., Diego, A., Mello, R. F., Mangaroska, K., Nascimento, A., Freitas, F., & Gašević, D. (2020) · Proceedings of the Tenth International Conference on Learning Analytics & Knowledge
Online Learning and AnalyticsStudent Assessment and Feedback
Cited by 44
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Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation
Bulian, J., Buck, C., Gajewski, W., Börschinger, B., & Schuster, T. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 44
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User Behavior Profiling using Ensemble Approach for Insider Threat Detection
Singh, M., Mehtre, B. M., & Sangeetha, S. (2019) · 2019 IEEE 5th International Conference on Identity, Security, and Behavior Analysis (ISBA)
Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications
Cited by 44
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QKD: Quantization-aware Knowledge Distillation
Kim, J., Bhalgat, Y., Lee, J., Patel, C., & Kwak, N. (2019) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 44
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Active Inference and Behavior Trees for Reactive Action Planning and Execution in Robotics
Pezzato, C., Corbato, C. H., Bonhof, S., & Wisse, M. (2023) · IEEE Transactions on Robotics
AI-based Problem Solving and PlanningReinforcement Learning in Robotics
Cited by 44
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Relying on the Unreliable: The Impact of Language Models' Reluctance to Express Uncertainty
Zhou, K., Hwang, J. D., Ren, X., & Sap, M. (2024) · arXiv
Ethics and Social Impacts of AINatural Language Processing Techniques
Cited by 44
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Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines
Babic, Z., Capes-Davis, A., Martone, M. E., Bairoch, A., Ozyurt, I. B., Gillespie, T. H., & Bandrowski, A. E. (2019) · eLife
Research Data Management PracticesAcademic Publishing and Open Access
Cited by 44
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A Principled Approach for Learning Task Similarity in Multitask Learning
Shui, C., Abbasi, M., Robitaille, L.-É., Wang, B., & Gagné, C. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence
Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms
Cited by 44
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Culture's Open Sources: Software, Copyright, and Cultural Critique
Kelty, C. M. (2004) · Anthropological Quarterly
Open Source Software InnovationsIntellectual Property Rights and Media
Cited by 44
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