Most cited computer science papers
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A Multi-Sensor Setting Activity Recognition Simulation Tool
Takeda, S., Okita, T., Lago, P., & Inoue, S. (2018) · Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 18
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Social Norms on Reddit: A Demographic Analysis
De Candia, S., De Francisci Morales, G., Monti, C., & Bonchi, F. (2022) · 14th ACM Web Science Conference 2022
Hate Speech and Cyberbullying DetectionDigital Communication and Language
Cited by 18
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IEEE Access Special Section Editorial: Artificial Intelligence Enabled Networking
Qadir, J., Yau, K.-L. A., Imran, M. A., Ni, Q., & Vasilakos, A. V. (2015) · IEEE Access
Software-Defined Networks and 5GAdvanced Data and IoT Technologies
Cited by 18
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Multimodal Large Language Models are Generalist Medical Image Interpreters
Han, T., Adams, L. C., Nebelung, S., Kather, J. N., Bressem, K. K., & Truhn, D. (2023) · medRxiv
Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education
Cited by 18
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Preliminary steps toward a general theory of internet-based collective-action in digital information commons: findings from a study of open source software projects
Schweik, C. M., & English, R. (2013) · International Journal of the Commons
Open Source Software InnovationsWikis in Education and Collaboration
Cited by 18
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Focused Transformer: Contrastive Training for Context Scaling
Tworkowski, S., Staniszewski, K., Pacek, M., Wu, Y., Michalewski, H., & Milos, P. (2023) · Advances in Neural Information Processing Systems 36
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 18
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Real-time Detection of AI-Generated Speech for DeepFake Voice Conversion
Bird, J. J., & Lotfi, A. (2023) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 18
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A spatio-temporal graph neural network for fall prediction with inertial sensors
Wang, S., Li, X., Liao, G., Liu, J., Liao, C., Liu, M., Liao, J., & Liu, L. (2024) · Knowledge-Based Systems
Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention
Cited by 18
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Knowledge-based Taxonomic Scheme for Full-Reference Objective Image Quality Measurement Models
Lahoulou, A., Larabi, M. C., Beghdadi, A., Viennet, E., & Bouridane, A. (2016) · Journal of Imaging Science and Technology
Image and Video Quality AssessmentImage Retrieval and Classification Techniques
Cited by 18
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U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code
Borg, M., Tornhill, A., & Mones, E. (2023) · Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 18
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Aligning LLM Agents by Learning Latent Preference from User Edits
Gao, G., Taymanov, A., Salinas, E., Mineiro, P., & Misra, D. (2024) · arXiv
Recommender Systems and TechniquesNatural Language Processing Techniques
Cited by 18
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Machine Learning Techniques for Accountability
Kim, B., & Doshi‐Velez, F. (2021) · AI Magazine
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 18
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SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Miao, N., Teh, Y. W., & Rainforth, T. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 18
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ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters
Li, T., Won, J., Clegg, A., Kim, J., Rai, A., & Ha, S. (2023) · SIGGRAPH Asia 2023 Conference Papers
Human Motion and Animation3D Shape Modeling and Analysis
Cited by 18
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Reasoning Models Don't Always Say What They Think
Chen, Y., Benton, J., Radhakrishnan, A., Uesato, J., Denison, C., Schulman, J., Somani, A., Hase, P., Wagner, M., Roger, F., et al. (2025) · arXiv
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 18
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Prompt-based Extraction of Social Determinants of Health Using Few-shot Learning
Ramachandran, G. K., Fu, Y., Han, B., Lybarger, K., Dobbins, N., Uzuner, O., & Yetisgen, M. (2023) · Proceedings of the 5th Clinical Natural Language Processing Workshop
Machine Learning in HealthcareBiomedical Text Mining and Ontologies
Cited by 18
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Optimize Semi-Persistent Scheduling in NR-V2X: An Age-of-Information Perspective
Cao, L., Yin, H., Wei, R., & Zhang, L. (2022) · 2022 IEEE Wireless Communications and Networking Conference (WCNC)
Age of Information OptimizationVehicular Ad Hoc Networks (VANETs)
Cited by 18
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Track-Clustering Error Evaluation for Track-Based Multi-camera Tracking System Employing Human Re-identification
Wu, C.-W., Zhong, M.-T., Tsao, Y., Yang, S.-W., Chen, Y.-K., & Chien, S.-Y. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 18
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Convolutional Neural Networks for Automated Fetal Cardiac Assessment using 4D B-Mode Ultrasound
Philip, M. E., Sowmya, A., Avnet, H., Ferreira, A., Stevenson, G., & Welsh, A. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education
Cited by 18
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Event Encryption for Neuromorphic Vision Sensors: Framework, Algorithm, and Evaluation
Du, B., Li, W., Wang, Z., Xu, M., Gao, T., Li, J., & Wen, H. (2021) · Sensors
Chaos-based Image/Signal EncryptionCryptography and Data Security
Cited by 18
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Trusted and Secure Self-Sovereign Identity framework
Bolgouras, V., Angelogianni, A., Politis, I., & Xenakis, C. (2022) · Proceedings of the 17th International Conference on Availability, Reliability and Security
Advanced Authentication Protocols SecurityBlockchain Technology Applications and Security
Cited by 18
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Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
Lekeufack, J., Angelopoulos, A. N., Bajcsy, A., Jordan, M. I., & Malik, J. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)
Machine Learning and AlgorithmsAdversarial Robustness in Machine Learning
Cited by 18
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Systematic literature review: comparison study of symmetric key and asymmetric key algorithm
Santoso, P. P., Rilvani, E., Trisnawan, A. B., Adiyarta, K., Napitupulu, D., Sutabri, T., & Rahim, R. (2018) · IOP Conference Series: Materials Science and Engineering
Cryptographic Implementations and SecurityCryptography and Data Security
Cited by 18
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Revisiting Feature Prediction for Learning Visual Representations from Video
Bardes, A., Garrido, Q., Ponce, J., Chen, X., Rabbat, M., LeCun, Y., Assran, M., & Ballas, N. (2024) · arXiv
Domain Adaptation and Few-Shot LearningHuman Pose and Action Recognition
Cited by 18
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