Most cited computer science papers
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Unveiling Privacy Risks in LLM Agent Memory
Wang, B., He, W., Zeng, S., Xiang, Z., Xing, Y., Tang, J., & He, P. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 24
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Convolutional Neural Networks for the Identification of African Lions from Individual Vocalizations
Trapanotto, M., Nanni, L., Brahnam, S., & Guo, X. (2022) · Journal of Imaging
Music and Audio ProcessingAnimal Vocal Communication and Behavior
Cited by 24
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Evaluating the Performance of Video-Based Automated Passenger Counting Systems in Real-World Conditions: A Comparative Study
Pronello, C., & Garzón Ruiz, X. R. (2023) · Sensors
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 24
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TFormer: A Transmission-Friendly ViT Model for IoT Devices
Lu, Z., Ding, C., Juefei-Xu, F., Boddeti, V. N., Wang, S., & Yang, Y. (2023) · IEEE Transactions on Parallel and Distributed Systems
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 24
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A Deep Structure for Facial Expression Recognition under Partial Occlusion
Cheng, Y., Jiang, B., & Jia, K. (2014) · 2014 Tenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
Face and Expression RecognitionEmotion and Mood Recognition
Cited by 24
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Exploring Large Language Model-Driven Agents for Environment-Aware Spatial Interactions and Conversations in Virtual Reality Role-Play Scenarios
Li, Z., Zhang, H., Peng, C., & Peiris, R. (2025) · 2025 IEEE Conference Virtual Reality and 3D User Interfaces (VR)
Virtual Reality Applications and ImpactsSpeech and dialogue systems
Cited by 24
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Titans: Learning to Memorize at Test Time
Behrouz, A., Zhong, P., & Mirrokni, V. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 24
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Quality of Testing in Test Driven Development
Cauevic, A., Punnekkat, S., & Sundmark, D. (2012) · 2012 Eighth International Conference on the Quality of Information and Communications Technology
Software Engineering Techniques and PracticesSoftware Testing and Debugging Techniques
Cited by 24
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Word Segmentation on Discovered Phone Units With Dynamic Programming and Self-Supervised Scoring
Kamper, H. (2023) · IEEE/ACM Transactions on Audio, Speech, and Language Processing
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 24
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On unreliable computing systems when heavy-tails appear as a result of the recovery procedure
Fiorini, P. M., Sheahan, R., & Lipsky, L. (2005) · ACM SIGMETRICS Performance Evaluation Review
Distributed systems and fault toleranceReliability and Maintenance Optimization
Cited by 24
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Goal-Driven Explainable Clustering via Language Descriptions
Wang, Z., Shang, J., & Zhong, R. (2023) · arXiv
Topic ModelingAdvanced Clustering Algorithms Research
Cited by 24
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Conditional Generation with a Question-Answering Blueprint
Narayan, S., Maynez, J., Amplayo, R. K., Ganchev, K., Louis, A., Huot, F., Sandholm, A., Das, D., & Lapata, M. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 24
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Computation of Two-Dimensional Spectra Assisted by Compressed Sampling
Almeida, J., Prior, J., & Plenio, M. B. (2012) · The Journal of Physical Chemistry Letters
Sparse and Compressive Sensing TechniquesLaser-Matter Interactions and Applications
Cited by 24
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Can Neural Networks Do Arithmetic? A Survey on the Elementary Numerical Skills of State-of-the-Art Deep Learning Models
Testolin, A. (2024) · Applied Sciences
Neural Networks and ApplicationsArtificial Intelligence Applications
Cited by 24
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A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models
Esmradi, A., Yip, D. W., & Chan, C. F. (2023) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 24
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Unmasking digital deceptions: An integrative review of deepfake detection, multimedia forensics, and cybersecurity challenges
Singh, S., & Dhumane, A. (2025) · MethodsX
Digital Media Forensic DetectionBiometric Identification and Security
Cited by 24
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Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content
Morstatter, F., Dani, H., Sampson, J., & Liu, H. (2016) · Proceedings of the 25th International Conference Companion on World Wide Web - WWW 16 Companion
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 24
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TRAM: Benchmarking Temporal Reasoning for Large Language Models
Wang, Y., & Zhao, Y. (2024) · Findings of the Association for Computational Linguistics ACL 2024
Topic ModelingNatural Language Processing Techniques
Cited by 24
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The 2023 International Planning Competition
Taitler, A., Alford, R., Espasa, J., Behnke, G., Fišer, D., Gimelfarb, M., Pommerening, F., Sanner, S., Scala, E., Schreiber, D., et al. (2024) · AI Magazine
AI-based Problem Solving and PlanningConstraint Satisfaction and Optimization
Cited by 24
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Evolving objective function for improved variational quantum optimization
Kolotouros, I., & Wallden, P. (2022) · Physical Review Research
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 24
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Mapping the systematic literature studies about software ecosystems
García-Holgado, A., & García-Peñalvo, F. J. (2018) · Proceedings of the Sixth International Conference on Technological Ecosystems for Enhancing Multiculturality
Advanced Software Engineering MethodologiesSoftware Engineering Techniques and Practices
Cited by 24
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Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition
Novikova, E., Fomichov, D., Kholod, I., & Filippov, E. (2022) · Sensors
Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection
Cited by 24
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ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Gou, Z., Shao, Z., Gong, Y., Shen, Y., Yang, Y., Huang, M., Duan, N., & Chen, W. (2023) · arXiv
Topic ModelingMathematics, Computing, and Information Processing
Cited by 24
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Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey
Anthis, J. R., Pauketat, J. V. T., Ladak, A., & Manoli, A. (2024) · arXiv
Ethics and Social Impacts of AISocial Robot Interaction and HRI
Cited by 24
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