Most cited computer science papers
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A Decade of Demographics in Computing Education Research: A Critical Review of Trends in Collection, Reporting, and Use
Oleson, A., Xie, B., Salac, J., Everson, J., Kivuva, F. M., & Ko, A. J. (2022) · Proceedings of the 2022 ACM Conference on International Computing Education Research - Volume 1
Teaching and Learning ProgrammingGender and Technology in Education
Cited by 35
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NeuTral Rewriter: A rule-based and neural approach to automatic rewriting into gender neutral alternatives
Vanmassenhove, E., Emmery, C., & Shterionov, D. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Natural Language Processing TechniquesGender Studies in Language
Cited by 35
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Combining analysis of multi-parametric MR images into a convolutional neural network: precise target delineation for vestibular schwannoma treatment planning
Lee, W.-K., Wu, C.-C., Lee, C.-C., Lu, C.-F., Yang, H.-C., Huang, T.-H., Lin, C.-Y., Chung, W.-Y., Wang, P.-S., Wu, H.-M., et al. (2020) · Artificial Intelligence in Medicine
Medical Image Segmentation TechniquesBrain Tumor Detection and Classification
Cited by 35
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Bureaucracy as a Lens for Analyzing and Designing Algorithmic Systems
Pääkkönen, J., Nelimarkka, M., Haapoja, J., & Lampinen, A. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Ethics and Social Impacts of AIInformation Systems Theories and Implementation
Cited by 35
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Adverse Weather Target Detection Algorithm Based on Adaptive Color Levels and Improved YOLOv5
Yao, J., Fan, X., Li, B., & Qin, W. (2022) · Sensors
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 35
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Usage of Subjective Scales in Accessibility Research
Trewin, S., Marques, D., & Guerreiro, T. (2015) · Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility - ASSETS '15
Usability and User Interface DesignDigital Accessibility for Disabilities
Cited by 35
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Global Aggregations of Local Explanations for Black Box models
van der Linden, I., Haned, H., & Kanoulas, E. (2019) · arXiv
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 35
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The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey
Masterman, T., Besen, S., Sawtell, M., & Chao, A. (2024) · arXiv
AI-based Problem Solving and PlanningMulti-Agent Systems and Negotiation
Cited by 35
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Recommended for you
Konstan, J. A., & Riedl, J. (2012) · IEEE Spectrum
Recommender Systems and TechniquesInformation Retrieval and Data Mining
Cited by 35
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The Virality of Hate Speech on Social Media
Maarouf, A., Pröllochs, N., & Feuerriegel, S. (2024) · Proceedings of the ACM on Human-Computer Interaction
Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts
Cited by 35
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Role-based Log Analysis Applying Deep Learning for Insider Threat Detection
Zhang, D., Zheng, Y., Wen, Y., Xu, Y., Wang, J., Yu, Y., & Meng, D. (2018) · Proceedings of the 1st Workshop on Security-Oriented Designs of Computer Architectures and Processors
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 35
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Data philanthropy and the design of the infraethics for information societies
Taddeo, M. (2016) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 35
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CRUXEVAL-X: A Benchmark for Multilingual Code Reasoning, Understanding and Execution
Xu, R., Cao, J., Lu, Y., Wen, M., Lin, H., Han, X., He, B., Cheung, S.-C., & Sun, L. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Software Engineering ResearchTeaching and Learning Programming
Cited by 35
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Designing the Mind: How Agentic Frameworks Are Shaping the Future of AI Behavior
Garg, V. (2025) · Journal of Computer Science and Technology Studies
AI-based Problem Solving and PlanningPsychiatry, Mental Health, Neuroscience
Cited by 35
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A Type-2 Fuzzy Logic Approach to Explainable AI for regulatory compliance, fair customer outcomes and market stability in the Global Financial Sector
Adams, J., & Hagras, H. (2020) · 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 35
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A Survey of Classification Techniques in the Area of Big Data
Koturwar, P., Girase, S., & Mukhopadhyay, D. (2015) · arXiv
Data Mining and Machine Learning ApplicationsText and Document Classification Technologies
Cited by 35
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Quantum Optimization for Maximum Independent Set Using Rydberg Atom Arrays
Pichler, H., Wang, S.-T., Zhou, L., Choi, S., & Lukin, M. D. (2018) · arXiv
Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates
Cited by 35
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Integrating AI-based and conventional cybersecurity measures into online higher education settings: challenges, opportunities, and prospects
Parambil, M. M. A., Rustamov, J., Ahmed, S. G., Rustamov, Z., Awad, A. I., Zaki, N., & Alnajjar, F. (2024) · Computers and Education Artificial Intelligence
Information and Cyber SecurityNetwork Security and Intrusion Detection
Cited by 35
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The Capacity of Quantum Neural Networks
Wright, L. G., & McMahon, P. L. (2019) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 35
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The impact of Artificial Intelligence on the graphic design industry
Mustafa, B. (2023) · Arts and Design Studies
Digital Media and Visual ArtArt, Technology, and Culture
Cited by 35
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Program Characterization Using Runtime Values and Its Application to Software Plagiarism Detection
Jhi, Y.-C., Jia, X., Wang, X., Zhu, S., Liu, P., & Wu, D. (2015) · IEEE Transactions on Software Engineering
Software Engineering ResearchSecurity and Verification in Computing
Cited by 35
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TALM: Tool Augmented Language Models
Parisi, A., Zhao, Y., & Fiedel, N. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 35
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IMU-Based Monitoring for Assistive Diagnosis and Management of IoHT: A Review
Bo, F., Yerebakan, M., Dai, Y., Wang, W., Li, J., Hu, B., & Gao, S. (2022) · Healthcare
Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring
Cited by 35
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Recent Advancements in Federated Learning: State of the Art, Fundamentals, Principles, IoT Applications and Future Trends
Papadopoulos, C., Kollias, K.-F., & Fragulis, G. F. (2024) · Future Internet
Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing
Cited by 35
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