Most cited computer science papers
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Explainable Activity Recognition for Smart Home Systems
Das, D., Nishimura, Y., Vivek, R. P., Takeda, N., Fish, S. T., Plötz, T., & Chernova, S. (2023) · ACM Transactions on Interactive Intelligent Systems
Explainable Artificial Intelligence (XAI)Context-Aware Activity Recognition Systems
Cited by 70
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Afraid to be there ? Evaluating the relation between presence, self-reported anxiety, and heart rate in a virtual public speaking task
Felnhofer, A., Kothgassner, O. D., Hetterle, T., Beutl, L., Hlavacs, H., & Kryspin-Exner, I. (2014) · Cyberpsychology, Behavior, and Social Networking
Virtual Reality Applications and ImpactsFlow Experience in Various Fields
Cited by 70
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Self-Attention Architectures for Answer-Agnostic Neural Question Generation
Scialom, T., Piwowarski, B., & Staiano, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 70
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IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers
Pan, B., Panda, R., Jiang, Y., Wang, Z., Feris, R., & Oliva, A. (2021) · arXiv
Advanced Neural Network ApplicationsExplainable Artificial Intelligence (XAI)
Cited by 70
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Jamba: A Hybrid Transformer-Mamba Language Model
Lieber, O., Lenz, B., Bata, H., Cohen, G., Osin, J., Dalmedigos, I., Safahi, E., Meirom, S., Belinkov, Y., Shalev-Shwartz, S., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 70
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Data-free Knowledge Distillation for Object Detection
Chawla, A., Yin, H., Molchanov, P., & Alvarez, J. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 70
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Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube
Alvarado, O., Heuer, H., Vanden Abeele, V., Breiter, A., & Verbert, K. (2020) · Proceedings of the ACM on Human-Computer Interaction
Recommender Systems and TechniquesEthics and Social Impacts of AI
Cited by 70
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Diagnostic performance of artificial intelligence for histologic melanoma recognition compared to 18 international expert pathologists
Brinker, T. J., Schmitt, M., Krieghoff-Henning, E. I., Barnhill, R., Beltraminelli, H., Braun, S. A., Carr, R., Fernandez-Figueras, M.-T., Ferrara, G., Fraitag, S., et al. (2022) · Journal of the American Academy of Dermatology
AI in cancer detectionCutaneous Melanoma Detection and Management
Cited by 70
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A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Shi, H.-J. M., Lee, T.-H., Iwasaki, S., Gallego-Posada, J., Li, Z., Rangadurai, K., Mudigere, D., & Rabbat, M. (2023) · arXiv
Stochastic Gradient Optimization TechniquesParallel Computing and Optimization Techniques
Cited by 70
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An Overview of Perceptual Hashing
Farid, H. (2021) · Journal of Online Trust and Safety
Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection
Cited by 70
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Multitask LSTM Model for Human Activity Recognition and Intensity Estimation Using Wearable Sensor Data
Barut, O., Zhou, L., & Luo, Y. (2020) · IEEE Internet of Things Journal
Context-Aware Activity Recognition SystemsPhysical Activity and Health
Cited by 70
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Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: a review
Zhang, J., Wu, J., Qiu, Y., Song, A., Li, W., Li, X., & Liu, Y. (2023) · Computers in Biology and Medicine
Speech Recognition and SynthesisVoice and Speech Disorders
Cited by 69
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Agentic AI in Education: State of the Art and Future Directions
Kostopoulos, G., Gkamas, V., Rigou, M., & Kotsiantis, S. (2025) · IEEE Access
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 69
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Perturbation augmentation for fairer NLP
Qian, R., Ross, C., Fernandes, J., Smith, E. M., Kiela, D., & Williams, A. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Ethics and Social Impacts of AITopic Modeling
Cited by 69
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Large Language Models in Cybersecurity: A Survey of Applications, Vulnerabilities, and Defense Techniques
Jaffal, N. O., Alkhanafseh, M., & Mohaisen, D. (2025) · AI
Adversarial Robustness in Machine LearningNetwork Security and Intrusion Detection
Cited by 69
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The Role of Blockchain, AI and IoT for Smart Road Traffic Management System
Sharma, A., Awasthi, Y., & Kumar, S. (2020) · 2020 IEEE India Council International Subsections Conference (INDISCON)
Blockchain Technology Applications and SecurityIoT and GPS-based Vehicle Safety Systems
Cited by 69
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Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance
Jebur, S. A., Hussein, K. A., Hoomod, H. K., Alzubaidi, L., & Santamaría, J. (2022) · Electronics
Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods
Cited by 69
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Saving Face: Investigating the Ethical Concerns of Facial Recognition Auditing
Raji, I. D., Gebru, T., Mitchell, M., Buolamwini, J., Lee, J., & Denton, E. (2020) · arXiv
Ethics and Social Impacts of AIFace recognition and analysis
Cited by 69
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Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents
Da Silva, F. L., Hernandez-Leal, P., Kartal, B., & Taylor, M. E. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Reinforcement Learning in RoboticsMachine Learning and Algorithms
Cited by 69
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Quantum computing with neutral atoms
Saffman, M. (2019) · National Science Review
Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates
Cited by 69
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Digital wellbeing tools through users lens
Almourad, M. B., Alrobai, A., Skinner, T., Hussain, M., & Ali, R. (2021) · Technology in Society
Innovative Human-Technology InteractionImpact of Technology on Adolescents
Cited by 69
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Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step
Zhong, L., Wang, Z., & Shang, J. (2024) · arXiv
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 69
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Boosting Fast Adversarial Training With Learnable Adversarial Initialization
Jia, X., Zhang, Y., Wu, B., Wang, J., & Cao, X. (2022) · IEEE Transactions on Image Processing
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 69
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SignQuiz: A Quiz Based Tool for Learning Fingerspelled Signs in Indian Sign Language Using ASLR
Joy, J., Balakrishnan, K., & Sreeraj, M. (2019) · IEEE Access
Hand Gesture Recognition SystemsHearing Impairment and Communication
Cited by 69
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