Most cited computer science papers
- Verified
CheXplain: Enabling Physicians to Explore and Understand Data-Driven, AI-Enabled Medical Imaging Analysis
Xie, Y., Chen, M., Kao, D., Gao, G., & Chen, X. '. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 141
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LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion
Jiang, D., Ren, X., & Lin, B. Y. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 141
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Improved YOLO-V3 with DenseNet for Multi-Scale Remote Sensing Target Detection
Xu, D., & Wu, Y. (2020) · Sensors
Advanced Neural Network ApplicationsRemote-Sensing Image Classification
Cited by 141
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Interested in Diversity: The role of user attitudes, algorithmic feedback loops, and policy in news personalization
Bodó, B., Helberger, N., Eskens, S., & Möller, J. (2019) · Digital Journalism
Recommender Systems and TechniquesMedia Influence and Politics
Cited by 141
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Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning
Liu, H., Taniguchi, T., Tanaka, Y., Takenaka, K., & Bando, T. (2017) · IEEE Transactions on Intelligent Transportation Systems
Data Visualization and AnalyticsTraffic and Road Safety
Cited by 141
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Scalable Boson Sampling with Time-Bin Encoding Using a Loop-Based Architecture
Motes, K. R., Gilchrist, A., Dowling, J. P., & Rohde, P. P. (2014) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 141
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Android in the Wild: A Large-Scale Dataset for Android Device Control
Rawles, C., Li, A., Rodriguez, D., Riva, O., & Lillicrap, T. (2023) · arXiv
Advanced Malware Detection TechniquesInteractive and Immersive Displays
Cited by 141
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Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning
Giannakos, M. N., Mikalef, P., & Pappas, I. O. (2022) · Information Systems Frontiers
E-Learning and Knowledge ManagementOrganizational Learning and Leadership
Cited by 141
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MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Wang, H., Xu, T., Liu, Q., Lian, D., Chen, E., Du, D., Wu, H., & Su, W. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Advanced Graph Neural NetworksRecommender Systems and Techniques
Cited by 141
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Analysis of the reputation system and user contributions on a question answering website: StackOverflow
Movshovitz-Attias, D., Movshovitz-Attias, Y., Steenkiste, P., & Faloutsos, C. (2013) · Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Expert finding and Q&A systemsComplex Network Analysis Techniques
Cited by 141
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Quantum principal component analysis only achieves an exponential speedup because of its state preparation assumptions
Tang, E. (2018) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 141
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RARR: Researching and revising what language models say, using language models
Gao, L., Dai, Z., Pasupat, P., Chen, A., Chaganty, A. T., Fan, Y., Zhao, V., Lao, N., Lee, H., Juan, D.-C., et al. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 141
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Retrieval Augmented Code Generation and Summarization
Parvez, M. R., Ahmad, W., Chakraborty, S., Ray, B., & Chang, K.-W. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021
Software Engineering ResearchTopic Modeling
Cited by 141
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Fuzzy logic applied to opinion mining: A review
Serrano-Guerrero, J., Romero, F. P., & Olivas, J. A. (2021) · Knowledge-Based Systems
Sentiment Analysis and Opinion MiningFuzzy Logic and Control Systems
Cited by 141
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The ethics of using AI in K-12 education: a systematic literature review
Gouseti, A., James, F., Fallin, L., & Burden, K. (2025) · Technology, Pedagogy and Education
Ethics and Social Impacts of AIArtificial Intelligence in Education
Cited by 141
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How Secure is Code Generated by ChatGPT?
Khoury, R., Avila, A. R., Brunelle, J., & Camara, B. M. (2023) · 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
Software Engineering ResearchWeb Application Security Vulnerabilities
Cited by 141
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Semantic reasoning for context-aware internet of things applications
Maarala, A. I., Su, X., & Riekki, J. (2017) · IEEE Internet of Things Journal
Semantic Web and OntologiesIoT and Edge/Fog Computing
Cited by 141
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Bimodal Distribution and Co-Bursting in Review Spam Detection
Li, H., Fei, G., Wang, S., Liu, B., Shao, W., Mukherjee, A., & Shao, J. (2017) · Proceedings of the 26th International Conference on World Wide Web
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 141
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Online Continual Learning with Maximally Interfered Retrieval
Aljundi, R., Caccia, L., Belilovsky, E., Caccia, M., Lin, M., Charlin, L., & Tuytelaars, T. (2019) · arXiv
Domain Adaptation and Few-Shot LearningData Stream Mining Techniques
Cited by 140
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Self-taught object localization with deep networks
Bazzani, L., Bergamo, A., Anguelov, D., & Torresani, L. (2016) · 2016 IEEE Winter Conference on Applications of Computer Vision (WACV)
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 140
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The Hydra Effect: Emergent Self-repair in Language Model Computations
McGrath, T., Rahtz, M., Kramar, J., Mikulik, V., & Legg, S. (2023) · arXiv
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 140
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GLocalX—From Local to Global Explanations of Black Box AI Models
Setzu, M., Guidotti, R., Monreale, A., Turini, F., Pedreschi, D., & Giannotti, F. (2021) · Artificial Intelligence
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 140
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Applying DevOps Practices of Continuous Automation for Machine Learning
Karamitsos, I., Thabit, S., & Apostolopoulos, C. (2020) · Information
Software Engineering Techniques and PracticesSoftware System Performance and Reliability
Cited by 140
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Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design
Li, X., Wang, X., Wan, P.-J., Han, Z., & Leung, V. C. M. (2018) · IEEE Journal on Selected Areas in Communications
Caching and Content DeliveryIoT and Edge/Fog Computing
Cited by 140
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