Most cited computer science papers
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EEG-based Emotion Recognition using Transfer Learning Based Feature Extraction and Convolutional Neural Network
Jadhav, V., Tiwari, N., & Chawla, M. (2023) · ITM Web of Conferences
Emotion and Mood RecognitionEEG and Brain-Computer Interfaces
Cited by 11
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CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models
Niu, C., Li, C., Ng, V., & Luo, B. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
Software Engineering ResearchDomain Adaptation and Few-Shot Learning
Cited by 11
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Generative Artificial Intelligence for Industry: Opportunities, Challenges, and Impact
Saha, B. K. (2024) · 2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
Software Engineering ResearchArtificial Intelligence Applications
Cited by 11
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From Allies to Adversaries: Manipulating LLM Tool-Calling through Adversarial Injection
Zhang, R., Wang, H., Wang, J., Li, M., Huang, Y., Wang, D., & Wang, Q. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 11
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Supervised Pretraining Can Learn In-Context Reinforcement Learning
Lee, J., Xie, A., Pacchiano, A., Chandak, Y., Finn, C., Nachum, O., & Brunskill, E. (2023) · Advances in Neural Information Processing Systems 36
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 11
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Towards an Actual Gödel Machine Implementation: a Lesson in Self-Reflective Systems
Steunebrink, B. R., & Schmidhuber, J. (2012) · Atlantis Thinking Machines
Psychiatry, Mental Health, NeuroscienceComputability, Logic, AI Algorithms
Cited by 11
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MemGym: a Long-Horizon Memory Environment for LLM Agents
Xu, W., Wang, Y., Mei, K., Liang, K., Wang, Z., Jin, M., Zhang, H., Zhang, S.-X., Hua, W., Sahu, S., et al. (2026) · arXiv
AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior
Cited by 11
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Goku: Flow Based Video Generative Foundation Models
Chen, S., Ge, C., Zhang, Y., Zhang, Y., Zhu, F., Yang, H., Hao, H., Wu, H., Lai, Z., Hu, Y., et al. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 11
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Evaluating the applicability of existing lexicon-based sentiment analysis techniques on family medicine resident feedback field notes: retrospective cohort study
Lu, K. J. Q., Meaney, C., Guo, E., & Leung, F.-H. (2023) · JMIR Medical Education
Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods
Cited by 11
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Concentration of power and participation in online governance: the ecosystem of decentralized autonomous organizations
Peña-Calvin, A., Arroyo, J., Schwartz, A., & Hassan, S. (2024) · Companion Proceedings of the ACM Web Conference 2024
Blockchain Technology Applications and SecuritySocial Media and Politics
Cited by 11
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Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Jeong, S., Baek, J., Cho, S., Hwang, S. J., & Park, J. C. (2024) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 11
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Procedural Generation of Narrative Worlds
Balint, J. T., & Bidarra, R. (2023) · IEEE Transactions on Games
Artificial Intelligence in GamesComputer Graphics and Visualization Techniques
Cited by 11
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An effective underwater image enhancement method based on CLAHE-HF
Luo, M., Fang, Y., & Ge, Y. (2019) · Journal of Physics: Conference Series
Image Enhancement TechniquesUnderwater Vehicles and Communication Systems
Cited by 11
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A novel detection fusion network for solid waste sorting
Yu, Y., Zou, S., & Yin, K. (2020) · International Journal of Advanced Robotic Systems
Advanced Neural Network ApplicationsMunicipal Solid Waste Management
Cited by 11
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Exploring the Capabilities of Mobile Devices Supporting Deep Learning
Chen, Y., Biookaghazadeh, S., & Zhao, M. (2018) · Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing
Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques
Cited by 11
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KV-Cache: A Scalable High-Performance Web-Object Cache for Manycore
Waddington, D., Colmenares, J., Kuang, J., & Song, F. (2013) · 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
Parallel Computing and Optimization TechniquesSoftware System Performance and Reliability
Cited by 11
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A Closer Look at the Self-Verification Abilities of Large Language Models in Logical Reasoning
Hong, R., Zhang, H., Pang, X., Yu, D., & Zhang, C. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Topic ModelingLogic, Reasoning, and Knowledge
Cited by 11
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The Cost of Dynamic Reasoning: Demystifying AI Agents and Test-Time Scaling from an AI Infrastructure Perspective
Kim, J., Shin, B., Chung, J., & Rhu, M. (2025) · arXiv
Energy Efficiency in ComputingCloud Computing and Resource Management
Cited by 11
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An Investigation of Evaluation Metrics for Automated Medical Note Generation
Abacha, A. B., Yim, W.-W., Michalopoulos, G., & Lin, T. (2023) · arXiv
Topic ModelingMachine Learning in Healthcare
Cited by 11
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Creating New Language and Voice Components for the Updated MaryTTS Text-to-Speech Synthesis Platform
Steiner, I., & Le Maguer, S. (2018) · Proceedings of the Language Resources and Evaluation Conference
Speech Recognition and SynthesisSpeech and dialogue systems
Cited by 11
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Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks
Tsiligkaridis, T. (2021) · ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Adversarial Robustness in Machine LearningAdvanced Neural Network Applications
Cited by 11
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Robust DeepFake Audio Detection via an Improved NeXt-TDNN with Multi-Fused Self-Supervised Learning Features
Tahaoglu, G. (2025) · Applied Sciences
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 11
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LEGO-GraphRAG: Modularizing Graph-Based Retrieval-Augmented Generation for Design Space Exploration
Cao, Y., Gao, Z., Li, Z., Xie, X., Zhou, S. K., & Xu, J. (2025) · Proceedings of the VLDB Endowment
Topic ModelingAdvanced Graph Neural Networks
Cited by 11
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HaTU-Net: Harmonic Attention Network for Automated Ovarian Ultrasound Quantification in Assisted Pregnancy
Singh, V. K., Yousef Kalafi, E., Cheah, E., Wang, S., Wang, J., Ozturk, A., Li, Q., Eldar, Y. C., Samir, A. E., & Kumar, V. (2022) · Diagnostics
Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education
Cited by 11
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