Most cited computer science papers
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Emotion recognition through facial expression analysis based on a neurofuzzy network
Ioannou, S. V., Raouzaiou, A. T., Tzouvaras, V. A., Mailis, T. P., Karpouzis, K. C., & Kollias, S. D. (2005) · Neural Networks
Emotion and Mood RecognitionFace and Expression Recognition
Cited by 242
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Virtual and augmented reality in critical care medicine: the patient’s, clinician’s, and researcher’s perspective
Bruno, R. R., Wolff, G., Wernly, B., Masyuk, M., Piayda, K., Leaver, S., Erkens, R., Oehler, D., Afzal, S., Heidari, H., et al. (2022) · Critical Care
Virtual Reality Applications and ImpactsAugmented Reality Applications
Cited by 242
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Recognize Anything: A Strong Image Tagging Model
Zhang, Y., Huang, X., Ma, J., Li, Z., Luo, Z., Xie, Y., Qin, Y., Luo, T., Li, Y., Liu, S., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 242
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How Can Recommender Systems Benefit from Large Language Models: A Survey
Lin, J., Dai, X., Xi, Y., Liu, W., Chen, B., Zhang, H., Liu, Y., Wu, C., Li, X., Zhu, C., et al. (2025) · ACM Transactions on Information Systems
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 242
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Digital zero noise extrapolation for quantum error mitigation
Giurgica-Tiron, T., Hindy, Y., LaRose, R., Mari, A., & Zeng, W. J. (2020) · 2020 IEEE International Conference on Quantum Computing and Engineering (QCE)
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 241
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Accelerated Variational Quantum Eigensolver
Wang, D., Higgott, O., & Brierley, S. (2019) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 241
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Long Range Arena: A Benchmark for Efficient Transformers
Tay, Y., Dehghani, M., Abnar, S., Shen, Y., Bahri, D., Pham, P., Rao, J., Yang, L., Ruder, S., & Metzler, D. (2020) · arXiv
Topic ModelingAdvanced Neural Network Applications
Cited by 241
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From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot
Lau, S., & Guo, P. (2023) · Proceedings of the 2023 ACM Conference on International Computing Education Research V.1
Teaching and Learning ProgrammingArtificial Intelligence in Education
Cited by 241
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Predictive biases in natural language processing models: A conceptual framework and overview
Shah, D. S., Schwartz, H. A., & Hovy, D. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Ethics and Social Impacts of AINatural Language Processing Techniques
Cited by 241
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Digital zero noise extrapolation for quantum error mitigation
Giurgica-Tiron, T., Hindy, Y., LaRose, R., Mari, A., & Zeng, W. J. (2020) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 241
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Neural Topological SLAM for Visual Navigation
Singh Chaplot, D., Salakhutdinov, R., Gupta, A., & Gupta, S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics
Cited by 241
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One-class learning towards synthetic voice spoofing detection
Zhang, Y., Jiang, F., & Duan, Z. (2021) · IEEE Signal Processing Letters
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 241
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A wearable system for pre-impact fall detection
Nyan, M. N., Tay, F. E. H., & Murugasu, E. (2008) · Journal of Biomechanics
Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention
Cited by 241
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Quantum algorithms for topological and geometric analysis of data
Lloyd, S., Garnerone, S., & Zanardi, P. (2016) · Nature Communications
Quantum Computing Algorithms and ArchitectureTopological and Geometric Data Analysis
Cited by 241
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Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Meta Fundamental AI Research Diplomacy Team (FAIR)†, Bakhtin, A., Brown, N., Dinan, E., Farina, G., Flaherty, C., Fried, D., Goff, A., Gray, J., Hu, H., et al. (2022) · Science
Artificial Intelligence in GamesSpeech and dialogue systems
Cited by 241
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Live Data Analytics With Collaborative Edge and Cloud Processing in Wireless IoT Networks
Sharma, S. K., & Wang, X. (2017) · IEEE Access
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 241
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Assessment of Tremor Activity in the Parkinson’s Disease Using a Set of Wearable Sensors
Rigas, G., Tzallas, A. T., Tsipouras, M. G., Bougia, P., Tripoliti, E. E., Baga, D., Fotiadis, D. I., Tsouli, S. G., & Konitsiotis, S. (2012) · IEEE Transactions on Information Technology in Biomedicine
Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention
Cited by 241
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How to Train a Compact Binary Neural Network with High Accuracy?
Tang, W., Hua, G., & Wang, L. (2017) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Neural Network ApplicationsNeural Networks and Applications
Cited by 241
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UCF: Uncovering Common Features for Generalizable Deepfake Detection
Yan, Z., Zhang, Y., Fan, Y., & Wu, B. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 241
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Double image encryption algorithm based on neural network and chaos
Man, Z., Li, J., Di, X., Sheng, Y., & Liu, Z. (2021) · Chaos, Solitons & Fractals
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 241
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Large-scale machine learning systems in real-world industrial settings: A review of challenges and solutions
Lwakatare, L. E., Raj, A., Crnkovic, I., Bosch, J., & Olsson, H. H. (2020) · Information and Software Technology
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 241
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Neural Trojans
Liu, Y., Xie, Y., & Srivastava, A. (2017) · 2017 IEEE International Conference on Computer Design (ICCD)
Adversarial Robustness in Machine LearningPhysical Unclonable Functions (PUFs) and Hardware Security
Cited by 241
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Sim-to-real reinforcement learning for deformable object manipulation
Matas, J., James, S., & Davison, A. J. (2018) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 241
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"How do I fool you?": Manipulating User Trust via Misleading Black Box Explanations
Lakkaraju, H., & Bastani, O. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 241
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