Most cited computer science papers
- Verified
Necessary and Sufficient Conditions for Quantum Computation
Lloyd, S. (1994) · Journal of Modern Optics
Quantum Computing Algorithms and ArchitectureComputability, Logic, AI Algorithms
Cited by 19
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CIDER: Commonsense Inference for Dialogue Explanation and Reasoning
Ghosal, D., Hong, P., Shen, S., Majumder, N., Mihalcea, R., & Poria, S. (2021) · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
Speech and dialogue systemsLogic, Reasoning, and Knowledge
Cited by 19
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Usability Evaluation of a Blood Glucose Monitoring System With a Spill-Resistant Vial, Easier Strip Handling, and Connectivity to a Mobile App: Improvement of Patient Convenience and Satisfaction
Harvey, C., Koubek, R., Bégat, V., & Jacob, S. (2016) · Journal of Diabetes Science and Technology
Usability and User Interface DesignDiabetes Management and Research
Cited by 19
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AND does not mean OR: Using Formal Languages to Study Language Models’ Representations
Traylor, A., Feiman, R., & Pavlick, E. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Natural Language Processing TechniquesTopic Modeling
Cited by 19
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The power of speech in the wild: discriminative power of daily voice diaries in understanding auditory verbal hallucinations using deep learning
Wang, W., Xu, W., Chander, A., Nepal, S., Buck, B., Pakhomov, S., Cohen, T., Ben-Zeev, D., & Campbell, A. (2023) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Emotion and Mood RecognitionMental Health Research Topics
Cited by 19
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Error mitigation on a near-term quantum photonic device
Su, D., Israel, R., Sharma, K., Qi, H., Dhand, I., & Brádler, K. (2021) · Quantum
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 19
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DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
DeepSeek-AI, Liu, A., Mei, A., Lin, B., Xue, B., Wang, B., Xu, B., Wu, B., Zhang, B., Lin, C., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 19
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Unsupervised Learning Based on Multiple Descriptors for WSIs Diagnosis
Sheikh, T. S., Kim, J.-Y., Shim, J., & Cho, M. (2022) · Diagnostics
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 19
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Towards clinical translation of augmented orthopedic surgery: from pre-op CT to intra-op x-ray via RGBD sensing
Tucker, E. W., Fotouhi, J., Lee, S. C., Unberath, M., Fuerst, B., Johnson, A., Armand, M., Osgood, G. M., & Navab, N. (2018) · Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications
Augmented Reality ApplicationsAnatomy and Medical Technology
Cited by 19
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SAM2LONG: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Ding, S., Qian, R., Dong, X., Zhang, P., Zang, Y., Cao, Y., Guo, Y., Lin, D., & Wang, J. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods
Cited by 19
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Facial Biometric System for Recognition Using Extended LGHP Algorithm on Raspberry Pi
Chakraborty, S., Singh, S. K., & Kumar, K. (2020) · IEEE Sensors Journal
Face and Expression RecognitionBiometric Identification and Security
Cited by 19
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Privacy-Preserving Collaborative Filtering Using Fully Homomorphic Encryption
Jumonji, S., Sakai, K., Sun, M.-T., & Ku, W.-S. (2021) · IEEE Transactions on Knowledge and Data Engineering
Cryptography and Data SecurityRecommender Systems and Techniques
Cited by 19
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Fair governance with humans and machines.
Hermstrüwer, Y., & Langenbach, P. (2023) · Psychology, Public Policy, and Law
Ethics and Social Impacts of AIArtificial Intelligence in Law
Cited by 19
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Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning
Rezaei-Shoshtari, S., Meger, D., & Sharf, I. (2019) · 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Gaussian Processes and Bayesian InferenceRobotic Mechanisms and Dynamics
Cited by 19
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Designing user incentives for cybersecurity
August, T., August, R., & Shin, H. (2014) · Communications of the ACM
Information and Cyber SecurityUser Authentication and Security Systems
Cited by 19
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PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data
Watts, I., Gumma, V., Yadavalli, A., Seshadri, V., Swaminathan, M., & Sitaram, S. (2024) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 19
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Ensemble Feature Learning for Material Recognition with Convolutional Neural Networks
Bian, P., Li, W., Jin, Y., & Zhi, R. (2018) · EURASIP Journal on Image and Video Processing
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 19
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Calibration of score based likelihood ratio estimation in automated forensic facial image comparison
Rodriguez, A. M., Geradts, Z., & Worring, M. (2022) · Forensic Science International
Face recognition and analysisBiometric Identification and Security
Cited by 19
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Learning to Repair: Repairing model output errors after deployment using a dynamic memory of feedback
Tandon, N., Madaan, A., Clark, P., & Yang, Y. (2021) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 19
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Count-based exploration with the successor representation
Machado, M. C., Bellemare, M. G., & Bowling, M. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 19
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When Continual Learning Moves to Memory: A Study of Experience Reuse in LLM Agents
Hu, Q., Long, Q., & Wang, W. (2026) · arXiv
Domain Adaptation and Few-Shot LearningAI-based Problem Solving and Planning
Cited by 19
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Moiré pattern removal via attentive fractal network
Xu, D., Chu, Y., & Sun, Q. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Advanced Image Processing TechniquesImage Enhancement Techniques
Cited by 19
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On specialized window lengths and detector based human activity recognition
Li, H., Abowd, G. D., & Plötz, T. (2018) · Proceedings of the 2018 ACM International Symposium on Wearable Computers
Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis
Cited by 19
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Design and Plural Heritages: Composing Critical Futures
Schofield, T., Foster Smith, D., Bozoglu, G., & Whitehead, C. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionCultural Heritage Management and Preservation
Cited by 19
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