Most cited computer science papers
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Automatic Detection of Learning-Centered Affective States in the Wild
Bosch, N., D'Mello, S., Baker, R., Ocumpaugh, J., Shute, V., Ventura, M., Wang, L., & Zhao, W. (2015) · Proceedings of the 20th International Conference on Intelligent User Interfaces
Emotion and Mood RecognitionIntelligent Tutoring Systems and Adaptive Learning
Cited by 178
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Robotic Mapping and Exploration
Stachniss, C. (2009) · Springer Tracts in Advanced Robotics
Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics
Cited by 178
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A survey of intrusion detection systems in wireless sensor networks
Can, O., & Sahingoz, O. K. (2015) · 2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)
Security in Wireless Sensor NetworksNetwork Security and Intrusion Detection
Cited by 178
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The Self-Perception and Political Biases of ChatGPT
Rutinowski, J., Franke, S., Endendyk, J., Dormuth, I., & Pauly, M. (2023) · arXiv
Ethics and Social Impacts of AISocial Media and Politics
Cited by 178
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Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Ashukha, A., Lyzhov, A., Molchanov, D., & Vetrov, D. (2020) · arXiv
Adversarial Robustness in Machine LearningAdvanced Neural Network Applications
Cited by 178
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Task-based effectiveness of basic visualizations
Saket, B., Endert, A., & Demiralp, C. (2019) · IEEE Transactions on Visualization and Computer Graphics
Data Visualization and AnalyticsVisual and Cognitive Learning Processes
Cited by 178
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QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization
Zhong, M., Yin, D., Yu, T., Zaidi, A., Mutuma, M., Jha, R., Awadallah, A. H., Celikyilmaz, A., Liu, Y., Qiu, X., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topic ModelingNatural Language Processing Techniques
Cited by 178
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Retrieval-Based Prompt Selection for Code-Related Few-Shot Learning
Nashid, N., Sintaha, M., & Mesbah, A. (2023) · 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE)
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 178
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Emotion recognition in the wild challenge 2013
Dhall, A., Goecke, R., Joshi, J., Wagner, M., & Gedeon, T. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction
Emotion and Mood RecognitionSentiment Analysis and Opinion Mining
Cited by 178
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PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Bach, S., Sanh, V., Yong, Z. X., Webson, A., Raffel, C., Nayak, N. V., Sharma, A., Kim, T., Bari, M. S., Fevry, T., et al. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
Natural Language Processing TechniquesTopic Modeling
Cited by 178
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Toxicity in ChatGPT: Analyzing Persona-assigned Language Models
Deshpande, A., Murahari, V., Rajpurohit, T., Kalyan, A., & Narasimhan, K. (2023) · arXiv
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 178
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Exact and stable recovery of rotations for robust synchronization
Wang, L., & Singer, A. (2013) · Information and Inference
Sparse and Compressive Sensing TechniquesAdvanced Optimization Algorithms Research
Cited by 178
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Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine
Nori, H., Lee, Y. T., Zhang, S., Carignan, D., Edgar, R., Fusi, N., King, N., Larson, J., Li, Y., Liu, W., et al. (2023) · arXiv
Topic ModelingArtificial Intelligence in Healthcare and Education
Cited by 178
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How do people react to AI failure? Automation bias, algorithmic aversion, and perceived controllability
Jones-Jang, S. M., & Park, Y. J. (2022) · Journal of Computer-Mediated Communication
Ethics and Social Impacts of AIHuman-Automation Interaction and Safety
Cited by 178
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Querying rdf streams with c-sparql
Barbieri, D. F., Braga, D., Ceri, S., Valle, E. D., & Grossniklaus, M. (2010) · ACM SIGMOD Record
Semantic Web and OntologiesAdvanced Database Systems and Queries
Cited by 178
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An Army of Me: Sockpuppets in Online Discussion Communities
Kumar, S., Cheng, J., Leskovec, J., & Subrahmanian, V. S. (2017) · Proceedings of the 26th International Conference on World Wide Web
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 178
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Blockchain Meets Federated Learning in Healthcare: A Systematic Review With Challenges and Opportunities
Myrzashova, R., Alsamhi, S. H., Shvetsov, A. V., Hawbani, A., & Wei, X. (2023) · IEEE Internet of Things Journal
Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data
Cited by 178
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Toxicity in chatgpt: Analyzing persona-assigned language models
Deshpande, A., Murahari, V., Rajpurohit, T., Kalyan, A., & Narasimhan, K. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 178
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Large Language Models for Data Annotation and Synthesis: A Survey
Tan, Z., Li, D., Wang, S., Beigi, A., Jiang, B., Bhattacharjee, A., Karami, M., Li, J., Cheng, L., & Liu, H. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 178
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Reversible electronic logic using switches
Merkle, R. C. (1993) · Nanotechnology
Quantum-Dot Cellular AutomataLow-power high-performance VLSI design
Cited by 178
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Strategies for solving the Fermi-Hubbard model on near-term quantum computers
Cade, C., Mineh, L., Montanaro, A., & Stanisic, S. (2020) · Physical Review B
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 178
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Designing with interactive example galleries
Lee, B., Srivastava, S., Kumar, R., Brafman, R., & Klemmer, S. R. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 178
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Quantum process tomography of the quantum Fourier transform
Weinstein, Y. S., Havel, T. F., Emerson, J., Boulant, N., Saraceno, M., Lloyd, S., & Cory, D. G. (2004) · The Journal of Chemical Physics
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 178
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Learning Race from Face: A Survey
Fu, S., He, H., & Hou, Z.-G. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition and analysisFace and Expression Recognition
Cited by 178
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