Most cited computer science papers
- Verified
Data sharing statements for clinical trials
Taichman, D. B., Sahni, P., Pinborg, A., Peiperl, L., Laine, C., James, A., Hong, S.-T., Haileamlak, A., Gollogly, L., Godlee, F., et al. (2017) · BMJ
Research Data Management PracticesAcademic Publishing and Open Access
Cited by 62
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Medical large language models are susceptible to targeted misinformation attacks
Han, T., Nebelung, S., Khader, F., Wang, T., Müller-Franzes, G., Kuhl, C., Försch, S., Kleesiek, J., Haarburger, C., Bressem, K. K., et al. (2024) · npj Digital Medicine
Adversarial Robustness in Machine LearningArtificial Intelligence in Healthcare and Education
Cited by 62
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Data Cleaning for Accurate, Fair, and Robust Models: A Big Data - AI Integration Approach
Tae, K. H., Roh, Y., Oh, Y. H., Kim, H., & Whang, S. E. (2019) · Proceedings of the 3rd International Workshop on Data Management for End-to-End Machine Learning
Data Quality and ManagementMachine Learning and Data Classification
Cited by 62
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Shampoo: Preconditioned Stochastic Tensor Optimization
Gupta, V., Koren, T., & Singer, Y. (2018) · arXiv
Stochastic Gradient Optimization TechniquesTensor decomposition and applications
Cited by 62
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Exploring ASR-free end-to-end modeling to improve spoken language understanding in a cloud-based dialog system,
Qian, Y., Ubale, R., Ramanaryanan, V., Lange, P., Suendermann-Oeft, D., Evanini, K., & Tsuprun, E. (2017) · 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
Speech and dialogue systemsSpeech Recognition and Synthesis
Cited by 62
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A Systematic Analysis of Enhancing Cyber Security Using Deep Learning for Cyber Physical Systems
Gaba, S., Budhiraja, I., Kumar, V., Martha, S., Khurmi, J., Singh, A., Singh, K. K., Askar, S. S., & Abouhawwash, M. (2024) · IEEE Access
Network Security and Intrusion DetectionSmart Grid Security and Resilience
Cited by 62
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Learning Privacy-preserving Optics for Human Pose Estimation
Hinojosa, C., Niebles, J. C., & Arguello, H. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Privacy-Preserving Technologies in DataAdvanced Neural Network Applications
Cited by 62
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Unmanned Aerial Vehicle Video-Based Target Tracking Algorithm Using Sparse Representation
Wan, M., Gu, G., Qian, W., Ren, K., Maldague, X., & Chen, Q. (2019) · IEEE Internet of Things Journal
Video Surveillance and Tracking MethodsInfrared Target Detection Methodologies
Cited by 62
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Scaling Laws for Reward Model Overoptimization
Gao, L., Schulman, J., & Hilton, J. (2022) · arXiv
Reinforcement Learning in RoboticsEthics and Social Impacts of AI
Cited by 62
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Session Viewer: Visual Exploratory Analysis of Web Session Logs
Lam, H., Russell, D., Tang, D., & Munzner, T. (2007) · 2007 IEEE Symposium on Visual Analytics Science and Technology
Data Visualization and AnalyticsWeb Data Mining and Analysis
Cited by 62
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Readiness of Quantum Optimization Machines for Industrial Applications
Perdomo-Ortiz, A., Feldman, A., Ozaeta, A., Isakov, S. V., Zhu, Z., O’Gorman, B., Katzgraber, H. G., Diedrich, A., Neven, H., de Kleer, J., et al. (2019) · Physical Review Applied
Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research
Cited by 62
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SycEval: Evaluating LLM Sycophancy
Fanous, A., Goldberg, J., Agarwal, A. A., Lin, J., Zhou, A., Daneshjou, R., & Koyejo, S. (2025) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 62
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Anti-spoofing in Action: Joint Operation with a Verification System
Chingovska, I., Anjos, A., & Marcel, S. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops
Biometric Identification and SecurityFace recognition and analysis
Cited by 62
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RADAR: Robust AI-Text Detection via Adversarial Learning
Hu, X., Chen, P.-Y., & Ho, T.-Y. (2023) · Advances in Neural Information Processing Systems 36
Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling
Cited by 62
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Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow
del Rio-Chanona, M., Laurentsyeva, N., & Wachs, J. (2023) · arXiv
Expert finding and Q&A systemsWikis in Education and Collaboration
Cited by 62
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Adaptive Multivariate Data Compression in Smart Metering Internet of Things
Chowdhury, M. R., Tripathi, S., & De, S. (2021) · IEEE Transactions on Industrial Informatics
Advanced Data Compression TechniquesIoT Networks and Protocols
Cited by 62
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Physiology-driven adaptive virtual reality stimulation for prevention and treatment of stress related disorders
Ćosić, K., Popović, S., Kukolja, D., Horvat, M., & Dropuljić, B. (2010) · Cyberpsychology Behavior and Social Networking
Virtual Reality Applications and ImpactsEmotion and Mood Recognition
Cited by 62
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Equity Beyond Bias in Language Technologies for Education
Mayfield, E., Madaio, M., Prabhumoye, S., Gerritsen, D., McLaughlin, B., Dixon-Román, E., & Black, A. W. (2019) · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
Ethics and Social Impacts of AINatural Language Processing Techniques
Cited by 62
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Investigating the Performance of Pull-Based Dynamic Adaptive Streaming in NDN
Rainer, B., Posch, D., & Hellwagner, H. (2016) · IEEE Journal on Selected Areas in Communications
Caching and Content DeliveryNetwork Traffic and Congestion Control
Cited by 62
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Scalable and Differentially Private Distributed Aggregation in the Shuffled Model
Ghazi, B., Pagh, R., & Velingker, A. (2019) · arXiv
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 62
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Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing
He, H., Zhang, J., Zhang, Q., & Tao, D. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Neural Network ApplicationsHuman Pose and Action Recognition
Cited by 62
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Multi-Modality Multi-Task Recurrent Neural Network for Online Action Detection
Liu, J., Li, Y., Song, S., Xing, J., Lan, C., & Zeng, W. (2019) · IEEE Transactions on Circuits and Systems for Video Technology
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 62
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Sim: a utility for detecting similarity in computer programs
Gitchell, D., & Tran, N. (1999) · ACM SIGCSE Bulletin
Software Engineering ResearchAcademic integrity and plagiarism
Cited by 62
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Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study
Nakatani, H., Nakao, M., Uchiyama, H., Toyoshiba, H., & Ochiai, C. (2020) · JMIR Medical Informatics
Machine Learning in HealthcareBalance, Gait, and Falls Prevention
Cited by 62
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