Most cited computer science papers
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Exploring the Capabilities of LLMs for Code Change Related Tasks
Fan, L., Liu, J., Liu, Z., Lo, D., Xia, X., & Li, S. (2024) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 41
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Boson sampling with displaced single-photon Fock states versus single-photon-added coherent states: The quantum-classical divide and computational-complexity transitions in linear optics
Seshadreesan, K. P., Olson, J. P., Motes, K. R., Rohde, P. P., & Dowling, J. P. (2015) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 41
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Temporal Coherence for Active Learning in Videos
Zolfaghari Bengar, J., Gonzalez-Garcia, A., Villalonga, G., Raducanu, B., Habibi Aghdam, H., Mozerov, M., Lopez, A. M., & van de Weijer, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)
Machine Learning and AlgorithmsAdvanced Neural Network Applications
Cited by 41
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Face mask detection in COVID-19: a strategic review
Vibhuti, Jindal, N., Singh, H., & Rana, P. S. (2022) · Multimedia Tools and Applications
Face recognition and analysisAdvanced Neural Network Applications
Cited by 41
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The application and comparison of web services for sentiment analysis in tourism
Gao, S., Hao, J., & Fu, Y. (2015) · 2015 12th International Conference on Service Systems and Service Management (ICSSSM)
Sentiment Analysis and Opinion MiningDiverse Aspects of Tourism Research
Cited by 41
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Automatic Short Answer Grading in the LLM Era: Does GPT-4 with Prompt Engineering beat Traditional Models?
Ferreira Mello, R., Pereira Junior, C., Rodrigues, L., Pereira, F. D., Cabral, L., Costa, N., Ramalho, G., & Gasevic, D. (2025) · Proceedings of the 15th International Learning Analytics and Knowledge Conference
Educational Technology and AssessmentArtificial Intelligence in Education
Cited by 41
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Face Forgery Detection by 3D Decomposition and Composition Search
Zhu, X., Fei, H., Zhang, B., Zhang, T., Zhang, X., Li, S. Z., & Lei, Z. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Media Forensic DetectionFace recognition and analysis
Cited by 41
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Identifying the primary dimensions of DevSecOps: A multi-vocal literature review
Zhao, X., Clear, T., & Lal, R. (2024) · Journal of Systems and Software
Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities
Cited by 40
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NavFormer: A Transformer Architecture for Robot Target-Driven Navigation in Unknown and Dynamic Environments
Wang, H., Tan, A. H., & Nejat, G. (2024) · arXiv
Reinforcement Learning in RoboticsRobotic Path Planning Algorithms
Cited by 40
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Improving SIMD efficiency for parallel Monte Carlo light transport on the GPU
van Antwerpen, D. (2011) · Proceedings of the ACM SIGGRAPH Symposium on High Performance Graphics
Computer Graphics and Visualization TechniquesParallel Computing and Optimization Techniques
Cited by 40
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AI Regulation Is (not) All You Need
Lucaj, L., van der Smagt, P., & Benbouzid, D. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 40
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Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies
Qu, X., Sun, Z., Ong, Y.-S., Gupta, A., & Wei, P. (2021) · IEEE Transactions on Cognitive and Developmental Systems
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 40
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Huxley-Gödel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
Wang, W., Piękos, P., Nanbo, L., Laakom, F., Chen, Y., Ostaszewski, M., Zhuge, M., & Schmidhuber, J. (2025) · arXiv
Software Engineering ResearchEvolutionary Algorithms and Applications
Cited by 40
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InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational Notebooks
Lin, Y., Li, H., Yang, L., Wu, A., & Qu, H. (2023) · IEEE Transactions on Visualization and Computer Graphics
Data Visualization and AnalyticsScientific Computing and Data Management
Cited by 40
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Data Cooperatives: Towards a Foundation for Decentralized Personal Data Management
Hardjono, T., & Pentland, A. (2019) · arXiv
Blockchain Technology Applications and SecurityPrivacy, Security, and Data Protection
Cited by 40
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An assessment framework for explainable AI with applications to cybersecurity
Calzarossa, M. C., Giudici, P., & Zieni, R. (2025) · Artificial Intelligence Review
Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning
Cited by 40
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An Image Encryption Scheme Based on Chaotic Systems
Xiao, H.-P., & Zhang, G.-J. (2006) · 2006 International Conference on Machine Learning and Cybernetics
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 40
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Real-time tool detection in smart manufacturing using You-Only-Look-Once (YOLO)v5
Zendehdel, N., Chen, H., & Leu, M. C. (2023) · Manufacturing Letters
Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection
Cited by 40
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Emergent properties, models, and laws of behavioral similarities within groups of twitter users
Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2020) · Computer Communications
Spam and Phishing DetectionComplex Network Analysis Techniques
Cited by 40
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A multimodal real-time feedback platform based on spoken interactions for remote active learning support
Cornide-Reyes, H., Riquelme, F., Monsalves, D., Noel, R., Cechinel, C., Villarroel, R., Ponce, F., & Munoz, R. (2020) · Sensors
Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning
Cited by 40
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Fast quantum computation at arbitrarily low energy
Jordan, S. P. (2017) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 40
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Blockchain-based Mutual Authentication Security Protocol for Distributed RFID Systems
Wang, S., Zhu, S., & Zhang, Y. (2018) · 2018 IEEE Symposium on Computers and Communications (ISCC)
RFID technology advancementsAdvanced Authentication Protocols Security
Cited by 40
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Evaluating the Interpretability of Generative Models by Interactive Reconstruction
Ross, A., Chen, N., Hang, E. Z., Glassman, E. L., & Doshi-Velez, F. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Data Visualization and Analytics
Cited by 40
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Cultural influences on the comprehensibility of icons in mobile–computer interaction
Pappachan, P., & Ziefle, M. (2008) · Behaviour & Information Technology
Usability and User Interface DesignSafety Warnings and Signage
Cited by 40
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