Most cited computer science papers
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Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression
Wang, D., Zhou, L., Zhang, X., Bai, X., & Zhou, J. (2018) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 42
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Exploring the Effects of Machine Learning Literacy Interventions on Laypeople’s Reliance on Machine Learning Models
Chiang, C.-W., & Yin, M. (2022) · 27th International Conference on Intelligent User Interfaces
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 42
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Memory Matters: The Need to Improve Long-Term Memory in LLM-Agents
Hatalis, K., Christou, D., Myers, J., Jones, S., Lambert, K., Amos-Binks, A., Dannenhauer, Z., & Dannenhauer, D. (2024) · Proceedings of the AAAI Symposium Series
AI-based Problem Solving and PlanningTopic Modeling
Cited by 42
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Signs of the singularity
Vinge, V. (2008) · IEEE Spectrum
Artificial Intelligence ApplicationsEthics and Social Impacts of AI
Cited by 42
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Understanding Failures in Out-of-Distribution Detection with Deep Generative Models
Zhang, L. H., Goldstein, M., & Ranganath, R. (2021) · arXiv
Adversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications
Cited by 42
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On the Evolution of Knowledge Graphs: A Survey and Perspective
Jiang, X., Xu, C., Shen, Y., Sun, X., Tang, L., Wang, S., Chen, Z., Wang, Y., & Guo, J. (2023) · arXiv
Advanced Graph Neural NetworksSemantic Web and Ontologies
Cited by 42
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Deep learning-based real time detection for cardiac objects with fetal ultrasound video
Iriani Sapitri, A., Nurmaini, S., Naufal Rachmatullah, M., Tutuko, B., Darmawahyuni, A., Firdaus, F., Rini, D. P., & Islami, A. (2023) · Informatics in Medicine Unlocked
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 42
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Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
Huang, B., Chen, C., & Shu, K. (2025) · ACM SIGKDD Explorations Newsletter
Authorship Attribution and ProfilingAdvanced Steganography and Watermarking Techniques
Cited by 42
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Toward Smart Security Enhancement of Federated Learning Networks
Tan, J., Liang, Y.-C., Luong, N. C., & Niyato, D. (2021) · IEEE Network
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 42
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Multi-Object Vehicle Detection and Tracking Algorithm Based on Improved YOLOv8 and ByteTrack
You, L., Chen, Y., Xiao, C., Sun, C., & Li, R. (2024) · Electronics
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 42
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LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
Jain, N., Han, K., Gu, A., Li, W.-D., Yan, F., Zhang, T., Wang, S., Solar-Lezama, A., Sen, K., & Stoica, I. (2024) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 42
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Peer assessment in MOOCs: The relationship between peer reviewers’ ability and authors’ essay performance
Huisman, B., Admiraal, W., Pilli, O., van de Ven, M., & Saab, N. (2018) · British Journal of Educational Technology
Online Learning and AnalyticsStudent Assessment and Feedback
Cited by 42
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Verifix: Verified Repair of Programming Assignments
Ahmed, U. Z., Fan, Z., Yi, J., Al-Bataineh, O. I., & Roychoudhury, A. (2022) · ACM Transactions on Software Engineering and Methodology
Teaching and Learning ProgrammingSoftware Testing and Debugging Techniques
Cited by 42
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Evaluation methodologies in Automatic Question Generation 2013-2018
Amidei, J., Piwek, P., & Willis, A. (2018) · Proceedings of the 11th International Conference on Natural Language Generation
Natural Language Processing TechniquesTopic Modeling
Cited by 42
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Transfer Learning in Sensor-Based Human Activity Recognition: A Survey
Dhekane, S. G., & Ploetz, T. (2025) · ACM Computing Surveys
Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning
Cited by 42
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Management and virtual decentralised networks: The Linux project
Dafermos, G. N. (2001) · First Monday
Open Source Software InnovationsKnowledge Management and Sharing
Cited by 42
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GAFusion: Adaptive Fusing LiDAR and Camera with Multiple Guidance for 3D Object Detection
Li, X., Fan, B., Tian, J., & Fan, H. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 42
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Rule-based deduplication of article records from bibliographic databases
Jiang, Y., Lin, C., Meng, W., Yu, C., Cohen, A. M., & Smalheiser, N. R. (2014) · Database
Data Quality and ManagementMeta-analysis and systematic reviews
Cited by 41
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Have Large Language Models Developed a Personality?: Applicability of Self-Assessment Tests in Measuring Personality in LLMs
Song, X., Gupta, A., Mohebbizadeh, K., Hu, S., & Singh, A. (2023) · arXiv
Ethics and Social Impacts of AIPersonality Traits and Psychology
Cited by 41
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The FAIR Principles: First Generation Implementation Choices and Challenges
Mons, B., Schultes, E., Liu, F., & Jacobsen, A. (2020) · Data Intelligence
Research Data Management PracticesScientific Computing and Data Management
Cited by 41
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Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)
Vamplew, P., Smith, B. J., Källström, J., Ramos, G., Rădulescu, R., Roijers, D. M., Hayes, C. F., Heintz, F., Mannion, P., Libin, P. J. K., et al. (2022) · Autonomous Agents and Multi-Agent Systems
Reinforcement Learning in RoboticsPsychiatry, Mental Health, Neuroscience
Cited by 41
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A proposed architectural learner model for a personalized learning environment
Bellarhmouch, Y., Jeghal, A., Tairi, H., & Benjelloun, N. (2023) · Education and Information Technologies
Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics
Cited by 41
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CREF: An LLM-Based Conversational Software Repair Framework for Programming Tutors
Yang, B., Tian, H., Pian, W., Yu, H., Wang, H., Klein, J., Bissyandé, T. F., & Jin, S. (2024) · Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 41
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Multi-modality Sensor Data Classification with Selective Attention
Zhang, X., Yao, L., Huang, C., Wang, S., Tan, M., Long, G., & Wang, C. (2018) · Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting
Cited by 41
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