Most cited computer science papers
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Domain Generalization via Aggregation and Separation for Audio Deepfake Detection
Xie, Y., Cheng, H., Wang, Y., & Ye, L. (2024) · IEEE Transactions on Information Forensics and Security
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 59
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Performance of Synchronized Iterative Processes in Multiprocessor Systems
Dubois, M., & Briggs, F. A. (1982) · IEEE Transactions on Software Engineering
Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems
Cited by 59
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A Domain-agnostic, Noise-resistant, Hardware-efficient Evolutionary Variational Quantum Eigensolver
Rattew, A. G., Hu, S., Pistoia, M., Chen, R., & Wood, S. (2019) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 59
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A Length-Extrapolatable Transformer
Sun, Y., Dong, L., Patra, B., Ma, S., Huang, S., Benhaim, A., Chaudhary, V., Song, X., & Wei, F. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 59
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Explainable Sentiment Analysis with Applications in Medicine
Zucco, C., Liang, H., Fatta, G. D., & Cannataro, M. (2018) · 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Sentiment Analysis and Opinion MiningExplainable Artificial Intelligence (XAI)
Cited by 59
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User Behavior Simulation with Large Language Model-based Agents
Wang, L., Zhang, J., Yang, H., Chen, Z.-Y., Tang, J., Zhang, Z., Chen, X., Lin, Y., Sun, H., Song, R., et al. (2025) · ACM Transactions on Information Systems
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 59
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Accurate Uncertainty Estimation and Decomposition in Ensemble Learning
Liu, J. Z., Paisley, J., Kioumourtzoglou, M.-A., & Coull, B. (2019) · arXiv
Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning
Cited by 59
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Critical Configurations for Radial Distortion Self-Calibration
Wu, C. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition
Advanced Vision and ImagingOptical measurement and interference techniques
Cited by 59
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Application of ReliefF algorithm to selecting feature sets for classification of high resolution remote sensing image
Wang, Z., Zhang, Y., Chen, Z., Yang, H., Sun, Y., Kang, J., Yang, Y., & Liang, X. (2016) · 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Remote-Sensing Image ClassificationEvolutionary Algorithms and Applications
Cited by 59
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EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation
Niu, S., Ma, J., Bai, L., Wang, Z., Guo, L., & Yang, X. (2024) · Information Fusion
Machine Learning in HealthcareMultimodal Machine Learning Applications
Cited by 59
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TIGEr: Text-to-Image Grounding for Image Caption Evaluation
Jiang, M., Huang, Q., Zhang, L., Wang, X., Zhang, P., Gan, Z., Diesner, J., & Gao, J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Multimodal Machine Learning ApplicationsNatural Language Processing Techniques
Cited by 59
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Measurement and Analysis of the Bitcoin Networks: A View from Mining Pools
Wang, C., Chu, X., & Qin, Y. (2020) · 2020 6th International Conference on Big Data Computing and Communications (BIGCOM)
Blockchain Technology Applications and SecurityComplex Network Analysis Techniques
Cited by 59
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Pupil dilation patterns reflect the contents of consciousness
Kang, O., & Wheatley, T. (2015) · Consciousness and Cognition
Gaze Tracking and Assistive TechnologyVisual perception and processing mechanisms
Cited by 59
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Topology simplification for polygonal virtual environments
El-Sana, J., & Varshney, A. (1998) · IEEE Transactions on Visualization and Computer Graphics
Computer Graphics and Visualization TechniquesComputational Geometry and Mesh Generation
Cited by 58
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Assessing Phrasal Representation and Composition in Transformers
Yu, L., & Ettinger, A. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Topic ModelingNatural Language Processing Techniques
Cited by 58
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Recognition of human activity through hierarchical stochastic learning
Luhr, S., Bui, H. H., Venkatesh, S., & West, G. A. W. (2004) · Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).
Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition
Cited by 58
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ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network
Gschwend, D. (2020) · arXiv
Embedded Systems Design TechniquesAdvanced Neural Network Applications
Cited by 58
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A Novel Multi-Stage Training Approach for Human Activity Recognition From Multimodal Wearable Sensor Data Using Deep Neural Network
Mahmud, T., Sazzad Sayyed, A. Q. M., Fattah, S. A., & Kung, S.-Y. (2021) · IEEE Sensors Journal
Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting
Cited by 58
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Explainable Artificial Intelligence in Radiological Cardiovascular Imaging—A Systematic Review
Haupt, M., Maurer, M. H., & Thomas, R. P. (2025) · Diagnostics
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 58
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Actionable UI Design Guidelines for Smartphone Applications Inclusive of Low-Literate Users
Srivastava, A., Kapania, S., Tuli, A., & Singh, P. (2021) · Proceedings of the ACM on Human-Computer Interaction
Usability and User Interface DesignICT in Developing Communities
Cited by 58
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Deep learning with data transformation and factor analysis for student performance prediction
Dien, T. T., Hoai, S., Thanh-Hai, N., & Thai-Nghe, N. (2020) · International Journal of Advanced Computer Science and Applications
Online Learning and AnalyticsEducational Outcomes and Influences
Cited by 58
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Revisiting Transformer-based Models for Long Document Classification
Dai, X., Chalkidis, I., Darkner, S., & Elliott, D. (2022) · arXiv
Topic ModelingText and Document Classification Technologies
Cited by 58
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An Enhanced Unified Camera Model
Khomutenko, B., Garcia, G., & Martinet, P. (2016) · IEEE Robotics and Automation Letters
Advanced Vision and ImagingOptical measurement and interference techniques
Cited by 58
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Subgraph-preconditioned conjugate gradients for large scale SLAM
Dellaert, F., Carlson, J., Ila, V, Ni, K., & Thorpe, C. E. (2010) · 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems
Robotics and Sensor-Based LocalizationMatrix Theory and Algorithms
Cited by 58
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