Most cited computer science papers
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A Survey on Fault Tolerant Multi Agent System
Department of Computer Science King Abdul Aziz University Jeddah, S. A., Arfat, Y., & Eassa, F. E. (2016) · International Journal of Information Technology and Computer Science
Distributed systems and fault toleranceMulti-Agent Systems and Negotiation
Cited by 17
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Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Dubois, Y., Galambosi, B., Liang, P., & Hashimoto, T. B. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 17
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Accelerated alternating minimization algorithm for Poisson noisy image recovery
Padcharoen, A., Kitkuan, D., Kumam, P., Rilwan, J., & Kumam, W. (2020) · Inverse Problems in Science and Engineering
Image and Signal Denoising MethodsNumerical methods in inverse problems
Cited by 17
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Object Detection, Classification and Tracking Methods for Video Surveillance: A Review
Joshi, R. C., Joshi, M., Singh, A. G., & Mathur, S. (2018) · 2018 4th International Conference on Computing Communication and Automation (ICCCA)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 17
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Automatic Failure Recovery for Container-Based IoT Edge Applications
Olorunnife, K., Lee, K., & Kua, J. (2021) · Electronics
IoT and Edge/Fog ComputingDistributed systems and fault tolerance
Cited by 17
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Understanding the Effects of RLHF on LLM Generalisation and Diversity
Kirk, R., Mediratta, I., Nalmpantis, C., Luketina, J., Hambro, E., Grefenstette, E., & Raileanu, R. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 17
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Road Scene Multi-Object Detection Algorithm Based on CMS-YOLO
Lv, Z., Wang, R., Wang, Y., Zhou, F., & Guo, N. (2023) · IEEE Access
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 17
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High-speed encrypted traffic classification by using payload features
Yan, X., He, L., Xu, Y., Cao, J., Wang, L., & Xie, G. (2025) · Digital Communications and Networks
Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection
Cited by 17
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Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data
Pan, Y., Xie, F., & Zhao, H. (2023) · IEEE Transactions on Intelligent Transportation Systems
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 17
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Exploring Adversarial Properties of Insider Threat Detection
Le, D. C., & Zincir-Heywood, N. (2020) · 2020 IEEE Conference on Communications and Network Security (CNS)
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 17
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Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning
Cui, W., Zheng, G., & Wang, W. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 17
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An Experimental Evaluation of Sensory Conflict Versus Postural Control Theories of Motion Sickness
Warwick-Evans, L., & Beaumont, S. (1995) · Ecological Psychology
Virtual Reality Applications and ImpactsVestibular and auditory disorders
Cited by 17
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Online Learning of Oil Leak Anomalies in Wind Turbines with Block-Based Binary Reservoir
Cardoni, M., Pau, D. P., Falaschetti, L., Turchetti, C., & Lattuada, M. (2021) · Electronics
Neural Networks and Reservoir ComputingAnomaly Detection Techniques and Applications
Cited by 17
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An Empirical Comparison of Interpretable Models to Post-Hoc Explanations
Mahya, P., & Fürnkranz, J. (2023) · AI
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 17
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Beyond "Vulnerable Populations": A Unified Understanding of Vulnerability From A Socio-Ecological Perspective
Tang, X., Lima, G., Jiang, L., Simko, L., & Zou, Y. (2025) · Proceedings of the ACM on Human-Computer Interaction
Innovative Human-Technology InteractionUsability and User Interface Design
Cited by 17
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QBox: Partial Transfer Learning With Active Querying for Object Detection
Tang, Y.-P., Wei, X.-S., Zhao, B., & Huang, S.-J. (2023) · IEEE Transactions on Neural Networks and Learning Systems
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 17
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Neural network operations and Susuki–Trotter evolution of neural network states
Freitas, N., Morigi, G., & Dunjko, V. (2018) · International Journal of Quantum Information
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 17
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Single and Multi-Speaker Cloned Voice Detection: From Perceptual to Learned Features
Barrington, S., Barua, R., Koorma, G., & Farid, H. (2023) · 2023 IEEE International Workshop on Information Forensics and Security (WIFS)
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 17
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Relational program synthesis
Wang, Y., Wang, X., & Dillig, I. (2018) · Proceedings of the ACM on Programming Languages
Logic, programming, and type systemsSoftware Testing and Debugging Techniques
Cited by 17
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Pairwise Supervised Hashing with Bernoulli Variational Auto-Encoder and Self-Control Gradient Estimator
Dadaneh, S. Z., Boluki, S., Yin, M., Zhou, M., & Qian, X. (2020) · arXiv
Advanced Image and Video Retrieval TechniquesTopic Modeling
Cited by 17
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On the adoption and impact of predictive analytics for server incident reduction
Giurgiu, I., Wiesmann, D., Bogojeska, J., Lanyi, D., Stark, G., Wallace, R. B., Pereira, M. M., & Hidalgo, A. A. (2017) · IBM Journal of Research and Development
Software System Performance and ReliabilityCloud Computing and Resource Management
Cited by 17
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Towards a 5G Mobile Edge Cloud Planner for Autonomous Mobile Robots
Raunholt, T., Rodriguez, I., Mogensen, P., & Larsen, M. (2021) · 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall)
IoT and Edge/Fog ComputingRobotics and Automated Systems
Cited by 17
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An adaptive AQM algorithm based on neuron reinforcement learning
Zhou, C., Di, D., Chen, Q., & Guo, J. (2009) · 2009 IEEE International Conference on Control and Automation
Network Traffic and Congestion ControlTraffic control and management
Cited by 17
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Achieving fine-grained and flexible access control on blockchain-based data sharing for the Internet of Things
Wang, R., Wang, X., Yang, W., Yuan, S., & Guan, Z. (2022) · China Communications
Blockchain Technology Applications and SecurityAccess Control and Trust
Cited by 17
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