Most cited computer science papers
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PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data
Hao, J., Kosaraju, S. C., Tsaku, N. Z., Song, D. H., & Kang, M. (2019) · Biocomputing 2020
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 78
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Task analysis for error identification: a methodology for designing error-tolerant consumer products
BABER, C., & STANTON, N. A. (1994) · Ergonomics
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 78
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ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
Zhuo, J., Zhang, S., Fang, X., Duan, H., Lin, D., & Chen, K. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024
Topic ModelingNatural Language Processing Techniques
Cited by 78
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Thousands of Voices for HMM-Based Speech Synthesis–Analysis and Application of TTS Systems Built on Various ASR Corpora
Yamagishi, J., Usabaev, B., King, S., Watts, O., Dines, J., Tian, J., Guan, Y., Hu, R., Oura, K., Wu, Y.-J., et al. (2010) · IEEE Transactions on Audio, Speech, and Language Processing
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 78
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Neural representational geometry underlies few-shot concept learning
Sorscher, B., Ganguli, S., & Sompolinsky, H. (2022) · Proceedings of the National Academy of Sciences
Domain Adaptation and Few-Shot LearningMemory and Neural Mechanisms
Cited by 78
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Improving Factual Consistency of Abstractive Summarization via Question Answering
Nan, F., Nogueira dos Santos, C., Zhu, H., Ng, P., McKeown, K., Nallapati, R., Zhang, D., Wang, Z., Arnold, A. O., & Xiang, B. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 78
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Teacher–Student Behavior Recognition in Classroom Teaching Based on Improved YOLO-v4 and Internet of Things Technology
Chen, H., & Guan, J. (2022) · Electronics
Human Pose and Action RecognitionAdvanced Neural Network Applications
Cited by 78
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Language Models as Knowledge Bases: On Entity Representations, Storage Capacity, and Paraphrased Queries
Heinzerling, B., & Inui, K. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Topic ModelingNatural Language Processing Techniques
Cited by 78
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Layer VQE: A Variational Approach for Combinatorial Optimization on Noisy Quantum Computers
Liu, X., Angone, A., Shaydulin, R., Safro, I., Alexeev, Y., & Cincio, L. (2022) · IEEE Transactions on Quantum Engineering
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 78
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Do Deepfakes Feel Emotions? A Semantic Approach to Detecting Deepfakes Via Emotional Inconsistencies
Hosler, B., Salvi, D., Murray, A., Antonacci, F., Bestagini, P., Tubaro, S., & Stamm, M. C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Digital Media Forensic DetectionEmotion and Mood Recognition
Cited by 78
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Collaborative problem solving: a study of MathOverflow
Tausczik, Y. R., Kittur, A., & Kraut, R. E. (2014) · Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Expert finding and Q&A systemsWikis in Education and Collaboration
Cited by 78
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Populating the data ark: An attempt to retrieve, preserve, and liberate data from the most highly-cited psychology and psychiatry articles.
Hardwicke, T. E., & Ioannidis, J. P. A. (2018) · PLOS ONE
Research Data Management PracticesData Analysis and Archiving
Cited by 78
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An empirical investigation of the challenges of real-world reinforcement learning
Dulac-Arnold, G., Levine, N., Mankowitz, D. J., Li, J., Paduraru, C., Gowal, S., & Hester, T. (2020) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 78
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Parking Time Violation Tracking Using YOLOv8 and Tracking Algorithms
Sharma, N., Baral, S., Paing, M. P., & Chawuthai, R. (2023) · Sensors
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 78
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Convolutional Neural Network-Based Human Detection in Nighttime Images Using Visible Light Camera Sensors
Kim, J., Hong, H., & Park, K. (2017) · Sensors
Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods
Cited by 78
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Robust Multimodal Learning with Missing Modalities via Parameter-Efficient Adaptation
Reza, M. K., Prater-Bennette, A., & Asif, M. S. (2025) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 78
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Depression Estimation Using Audiovisual Features and Fisher Vector Encoding
Jain, V., Crowley, J. L., Dey, A. K., & Lux, A. (2014) · Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge
Emotion and Mood RecognitionImage Retrieval and Classification Techniques
Cited by 78
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Scholarly knowledge graphs through structuring scholarly communication: a review
Verma, S., Bhatia, R., Harit, S., & Batish, S. (2023) · Complex & Intelligent Systems
Semantic Web and OntologiesDigital Humanities and Scholarship
Cited by 78
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Blockchain-based secure time protection scheme in IoT
Fan, K., Wang, S., Ren, Y., Yang, K., Yan, Z., Li, H., & Yang, Y. (2019) · IEEE Internet of Things Journal
Blockchain Technology Applications and SecurityNetwork Time Synchronization Technologies
Cited by 78
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Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
Wang, S., Jiang, X., Singh, S., Marmor, R., Bonomi, L., Fox, D., Dow, M., & Ohno‐Machado, L. (2017) · Annals of the New York Academy of Sciences
Privacy-Preserving Technologies in DataEthics in Clinical Research
Cited by 78
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Gender bias in sentiment analysis
Thelwall, M. (2018) · Online Information Review
Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods
Cited by 78
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Survey on Machine Learning Biases and Mitigation Techniques
Siddique, S., Haque, M. A., George, R., Gupta, K. D., Gupta, D., & Faruk, M. J. H. (2023) · Digital
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 78
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Data Governance Model to Enhance Data Quality in Financial Institutions
Karkošková, S. (2023) · Information Systems Management
Data Quality and ManagementInformation Technology Governance and Strategy
Cited by 78
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Decision tree and random forest implementations for fast filtering of sensor data
Buschjager, S., & Morik, K. (2018) · IEEE Transactions on Circuits and Systems I Regular Papers
Embedded Systems Design TechniquesEmbedded Systems and FPGA Design
Cited by 78
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