Most cited computer science papers
- Verified
Analytical sociology and computational social science
Keuschnigg, M., Lovsjö, N., & Hedström, P. (2018) · Journal of Computational Social Science
Multi-Agent Systems and NegotiationPhilosophy of Biology and Scientific Explanation
Cited by 90
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Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions
Hafi, H., Brik, B., Frangoudis, P. A., Ksentini, A., & Bagaa, M. (2024) · IEEE Access
Privacy-Preserving Technologies in DataSoftware-Defined Networks and 5G
Cited by 90
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Assessing learning in technology-rich maker activities: A systematic review of empirical research
Lin, Q., Yin, Y., Tang, X., Hadad, R., & Zhai, X. (2020) · Computers & Education
Teaching and Learning ProgrammingScience Education and Pedagogy
Cited by 90
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Byzantine Fault-Tolerant Consensus Algorithms: A Survey
Zhong, W., Yang, C., Liang, W., Cai, J., Chen, L., Liao, J., & Xiong, N. (2023) · Electronics
Distributed systems and fault toleranceBlockchain Technology Applications and Security
Cited by 90
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Machine Learning and AI Technologies for Smart Wearables
Seng, K. P., Ang, L.-M., Peter, E., & Mmonyi, A. (2023) · Electronics
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 90
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Decentralized provenance-aware publishing with nanopublications
Kuhn, T., Chichester, C., Krauthammer, M., Queralt-Rosinach, N., Verborgh, R., Giannakopoulos, G., Ngonga Ngomo, A.-C., Viglianti, R., & Dumontier, M. (2016) · PeerJ Computer Science
Semantic Web and OntologiesResearch Data Management Practices
Cited by 90
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Adaptive Object Detection Using Adjacency and Zoom Prediction
Lu, Y., Javidi, T., & Lazebnik, S. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 90
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Extending Multilingual BERT to Low-Resource Languages
Wang, Z., K, K., Mayhew, S., & Roth, D. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020
Topic ModelingNatural Language Processing Techniques
Cited by 90
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Can Large Language Models Really Improve by Self-critiquing Their Own Plans?
Valmeekam, K., Marquez, M., & Kambhampati, S. (2023) · arXiv
AI-based Problem Solving and PlanningNatural Language Processing Techniques
Cited by 90
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Multi-modal mri image synthesis via gan with multi-scale gate mergence
Zhan, B., Li, D., Wu, X., Zhou, J., & Wang, Y. (2022) · IEEE Journal of Biomedical and Health Informatics
Generative Adversarial Networks and Image SynthesisAdvanced MRI Techniques and Applications
Cited by 90
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Analyzing and mining a code search engine usage log
Bajracharya, S. K., & Lopes, C. V. (2012) · Empirical Software Engineering
Software Engineering ResearchInformation Retrieval and Search Behavior
Cited by 90
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Human-swarm interaction using spatial gestures
Nagi, J., Giusti, A., Gambardella, L. M., & Di Caro, G. A. (2014) · 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems
Hand Gesture Recognition SystemsInteractive and Immersive Displays
Cited by 90
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“All around me are synthetic faces”: The mad world of AI-generated media
Whittaker, L., Kietzmann, T. C., Kietzmann, J., & Dabirian, A. (2020) · IT Professional
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 90
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Data science as machinic neoplatonism
McQuillan, D. (2018) · Philosophy & Technology
Ethics and Social Impacts of AICybernetics and Technology in Society
Cited by 90
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HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment
Vulić, I., Gerz, D., Kiela, D., Hill, F., & Korhonen, A. (2016) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 90
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Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer
Madras, D., Pitassi, T., & Zemel, R. (2017) · arXiv
Ethics and Social Impacts of AIMachine Learning and Algorithms
Cited by 90
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Natural Language Processing to Ascertain Cancer Outcomes from Medical Oncologist Notes
Kehl, K. L., Xu, W., Lepisto, E., Elmarakeby, H., Hassett, M. J., Van Allen, E. M., Johnson, B. E., & Schrag, D. (2020) · JCO Clinical Cancer Informatics
Machine Learning in HealthcareBiomedical Text Mining and Ontologies
Cited by 90
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The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Li, N., Pan, A., Gopal, A., Yue, S., Berrios, D., Gatti, A., Li, J. D., Dombrowski, A.-K., Goel, S., Phan, L., et al. (2024) · arXiv
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 90
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Dynamic Evaluation of Neural Sequence Models
Krause, B., Kahembwe, E., Murray, I., & Renals, S. (2017) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 90
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SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection
Yao, L., Xu, H., Zhang, W., Liang, X., & Li, Z. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Advanced Neural Network ApplicationsVisual Attention and Saliency Detection
Cited by 90
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IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection
Liu, L., Kuang, Z., Chen, Y., Xue, J.-H., Yang, W., & Zhang, W. (2021) · IEEE Transactions on Neural Networks and Learning Systems
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 90
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Collaboration, Peer Review and Open Source Software
Johnson, J. (2004) · Information Economics and Policy
Open Source Software InnovationsDigital Platforms and Economics
Cited by 90
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Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction
Barbaresi, A. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
Web Data Mining and AnalysisComputational and Text Analysis Methods
Cited by 90
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Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review
Liu, Z., Alavi, A., Li, M., & Zhang, X. (2023) · Sensors
Machine Learning in HealthcareTime Series Analysis and Forecasting
Cited by 90
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