Most cited computer science papers
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Distractor Generation with Generative Adversarial Nets for Automatically Creating Fill-in-the-blank Questions
Liang, C., Yang, X., Wham, D., Pursel, B., Passonneaur, R., & Giles, C. L. (2017) · Proceedings of the Knowledge Capture Conference
Topic ModelingNatural Language Processing Techniques
Cited by 23
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CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation
Aslam, S., Rasool, A., Li, X., & Wu, H. (2025) · Interdisciplinary Sciences: Computational Life Sciences
Domain Adaptation and Few-Shot LearningData-Driven Disease Surveillance
Cited by 23
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Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge
Cohan, A., & Goharian, N. (2017) · Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
Advanced Text Analysis TechniquesTopic Modeling
Cited by 23
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The Agentic Economy
Rothschild, D. M., Mobius, M., Hofman, J. M., Dillon, E. W., Goldstein, D. G., Immorlica, N., Jaffe, S., Lucier, B., Slivkins, A., & Vogel, M. (2025) · arXiv
Ethics and Social Impacts of AITechnology's Impact on Media
Cited by 23
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UniReal: Universal Image Generation and Editing via Learning Real-world Dynamics
Chen, X., Zhang, Z., Zhang, H., Zhou, Y., Kim, S. Y., Liu, Q., Li, Y., Zhang, J., Zhao, N., Wang, Y., et al. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 23
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Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning
Janz, D., Hron, J., Mazur, P., Hofmann, K., Hernández-Lobato, J. M., & Tschiatschek, S. (2018) · arXiv
Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research
Cited by 23
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MFTCoder: Boosting Code LLMs with Multitask Fine-Tuning
Liu, B., Chen, C., Gong, Z., Liao, C., Wang, H., Lei, Z., Liang, M., Chen, D., Shen, M., Zhou, H., et al. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Software Engineering ResearchTopic Modeling
Cited by 23
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GitBug-Java: A Reproducible Benchmark of Recent Java Bugs
Silva, A., Saavedra, N., & Monperrus, M. (2024) · Proceedings of the 21st International Conference on Mining Software Repositories
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 23
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A Tightly-coupled Semantic SLAM System with Visual, Inertial and Surround-view Sensors for Autonomous Indoor Parking
Shao, X., Zhang, L., Zhang, T., Shen, Y., Li, H., & Zhou, Y. (2020) · Proceedings of the 28th ACM International Conference on Multimedia
Robotics and Sensor-Based LocalizationAutonomous Vehicle Technology and Safety
Cited by 23
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Revisit security in the era of DevOps: An evidence-based inquiry into DevSecOps industry
Zhou, X., Mao, R., Zhang, H., Dai, Q., Huang, H., Shen, H., Li, J., & Rong, G. (2023) · IET Software
Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities
Cited by 23
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Noninvasive Passenger Detection Comparison Using Thermal Imager and IP Cameras
Kuchár, P., Pirník, R., Tichý, T., Rástočný, K., Skuba, M., & Tettamanti, T. (2021) · Sustainability
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 23
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Robust Pervasive Detection for Adversarial Samples of Artificial Intelligence in IoT Environments
Wang, S., & Qiao, Z. (2019) · IEEE Access
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 23
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AI for IT Operations (AIOps) on Cloud Platforms: Reviews, Opportunities and Challenges
Cheng, Q., Sahoo, D., Saha, A., Yang, W., Liu, C., Woo, G., Singh, M., Saverese, S., & Hoi, S. C. H. (2023) · arXiv
Software System Performance and ReliabilityCloud Computing and Resource Management
Cited by 23
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Control Theory for Model-based Performance-driven Software Adaptation
Arcelli, D., Cortellessa, V., Filieri, A., & Leva, A. (2015) · Proceedings of the 11th International ACM SIGSOFT Conference on Quality of Software Architectures
Advanced Software Engineering MethodologiesModel-Driven Software Engineering Techniques
Cited by 23
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Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak
Mittal, R., Mittal, A., & Aggarwal, I. (2021) · Social Network Analysis and Mining
Sentiment Analysis and Opinion MiningCommunication and COVID-19 Impact
Cited by 23
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Fix that Fix Commit: A real-world remediation analysis of JavaScript projects
Bandara, V., Rathnayake, T., Weerasekara, N., Elvitigala, C., Thilakarathna, K., Wijesekera, P., & Keppitiyagama, C. (2020) · 2020 IEEE 20th International Working Conference on Source Code Analysis and Manipulation (SCAM)
Web Application Security VulnerabilitiesSoftware Engineering Research
Cited by 23
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PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter
Yang, H., Li, Z., Zhang, Y., Wang, J., Cheng, N., Li, M., & Xiao, J. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Topic ModelingInformation Retrieval and Search Behavior
Cited by 23
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EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models
Tao, Z., Jin, Z., Bai, X., Zhao, H., Feng, Y., Li, J., & Hu, W. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 23
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DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text
Yang, X., Cheng, W., Wu, Y., Petzold, L., Wang, W. Y., & Chen, H. (2023) · arXiv
Authorship Attribution and ProfilingDigital Media Forensic Detection
Cited by 23
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Effective Strategies for Asynchronous Software Engineering Agents
Geng, J., & Neubig, G. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 23
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A distribution information sharing federated learning approach for medical image data
Zhao, L., & Huang, J. (2023) · Complex & Intelligent Systems
Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning
Cited by 23
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Automatic Measurement of Endometrial Thickness From Transvaginal Ultrasound Images
Liu, Y., Zhou, Q., Peng, B., Jiang, J., Fang, L., Weng, W., Wang, W., Wang, S., & Zhu, X. (2022) · Frontiers in Bioengineering and Biotechnology
Medical Image Segmentation TechniquesAI in cancer detection
Cited by 23
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Cyberattack Detection in Social Network Messages Based on Convolutional Neural Networks and NLP Techniques
Coyac-Torres, J. E., Sidorov, G., Aguirre-Anaya, E., & Hernández-Oregón, G. (2023) · Machine Learning and Knowledge Extraction
Spam and Phishing DetectionHate Speech and Cyberbullying Detection
Cited by 23
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Red Kite Optimization Algorithm With Average Ensemble Model for Intrusion Detection for Secure IoT
Alruwaili, F. F., Asiri, M. M., Alrayes, F. S., Aljameel, S. S., Salama, A. S., & Hilal, A. M. (2023) · IEEE Access
Network Security and Intrusion DetectionSecurity in Wireless Sensor Networks
Cited by 23
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