Most cited computer science papers
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Detecting Developers' Task Switches and Types
Meyer, A. N., Satterfield, C., Zuger, M., Kevic, K., Murphy, G. C., Zimmermann, T., & Fritz, T. (2022) · IEEE Transactions on Software Engineering
Software Engineering ResearchPersonal Information Management and User Behavior
Cited by 14
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Presenting the Multi-view Traffic Intersection Dataset (MTID): A Detailed Traffic-Surveillance Dataset
Jensen, M. B., Mogelmose, A., & Moeslund, T. B. (2020) · 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 14
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Generative Ai in Software Development : an Overview and Evaluation of Modern Coding Tools
-, A. (2024) · International Journal For Multidisciplinary Research
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 14
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Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study
Gong, E. J., Bang, C. S., Lee, J. J., Jeong, H. M., Baik, G. H., Jeong, J. H., Dick, S., & Lee, G. H. (2023) · Journal of Medical Internet Research
AI in cancer detectionGastric Cancer Management and Outcomes
Cited by 14
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Encrypted Cloud Based Personal Health Record Management Using DES Scheme
Pariselvam, S., & Swarnamukhi, M. (2019) · 2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)
Cloud Data Security SolutionsCryptography and Data Security
Cited by 14
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Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Irie, K., Schlag, I., Csordás, R., & Schmidhuber, J. (2021) · arXiv
Topic ModelingNeural Networks and Applications
Cited by 14
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Online Camera Pose Optimization for the Surround-view System
Liu, X., Zhang, L., Shen, Y., Zhang, S., & Zhao, S. (2019) · Proceedings of the 27th ACM International Conference on Multimedia
Advanced Vision and ImagingRobotics and Sensor-Based Localization
Cited by 14
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The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models
Pradeep, R., Thakur, N., Upadhyay, S., Campos, D., Craswell, N., Soboroff, I., Dang, H. T., & Lin, J. (2025) · Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval
Topic ModelingInformation Retrieval and Search Behavior
Cited by 14
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Five Motivating Concerns for AI Ethics Instruction
Knowles, M. A. (2021) · Proceedings of the Association for Information Science and Technology
Ethics and Social Impacts of AIArtificial Intelligence in Education
Cited by 14
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Helping Visually Impaired People Take Better Quality Pictures
Mandal, M., Ghadiyaram, D., Gurari, D., & Bovik, A. C. (2023) · IEEE Transactions on Image Processing
Image and Video Quality AssessmentDigital Media Forensic Detection
Cited by 14
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Domain-specific sentiment analysis: An optimized deep learning approach for the financial markets
Yekrangi, M., & Nikolov, N. S. (2023) · IEEE Access
Sentiment Analysis and Opinion MiningStock Market Forecasting Methods
Cited by 14
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Error Analysis of NIST SP 800-22 Test Suite
Chen, D., Chen, H., Fan, L., & Luo, K. (2023) · IEEE Transactions on Information Forensics and Security
Cryptographic Implementations and SecurityProbability and Statistical Research
Cited by 14
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Systematic Mapping Study on the Machine Learning Lifecycle
Xie, Y., Cruz, L., Heck, P., & Rellermeyer, J. S. (2021) · 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN)
Artificial Intelligence ApplicationsSoftware Engineering Techniques and Practices
Cited by 14
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Towards Fine-grained Sampling for Active Learning in Object Detection
Vikas Desai, S., & Balasubramanian, V. N. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Machine Learning and AlgorithmsAdvanced Neural Network Applications
Cited by 14
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Accelerated quantum walk, two-particle entanglement generation and localization
Singh, S., Balu, R., Laflamme, R., & Chandrashekar, C. M. (2019) · Journal of Physics Communications
Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications
Cited by 14
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FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation
Min, S., Krishna, K., Lyu, X., Lewis, M., Yih, W.-T., Koh, P. W., Iyyer, M., Zettlemoyer, L., & Hajishirzi, H. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 14
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Reinforcement Learning Using Quantum Boltzmann Machines
Crawford, D., Levit, A., Ghadermarzy, N., Oberoi, J. S., & Ronagh, P. (2016) · arXiv
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 14
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Active query selection for learning rankers
Bilgic, M., & Bennett, P. N. (2012) · Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval and Search BehaviorMachine Learning and Algorithms
Cited by 14
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Designing for Playfulness in Human-AI Authoring Tools
Liapis, A., Guckelsberger, C., Zhu, J., Harteveld, C., Kriglstein, S., Denisova, A., Gow, J., & Preuss, M. (2023) · Proceedings of the 18th International Conference on the Foundations of Digital Games
Innovative Human-Technology InteractionUsability and User Interface Design
Cited by 14
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Super-Resolution for Land Surface Temperature Retrieval Images via Cross-Scale Diffusion Model Using Reference Images
Chen, J., Jia, L., Zhang, J., Feng, Y., Zhao, X., & Tao, R. (2024) · Remote Sensing
Advanced Image Processing TechniquesImage and Signal Denoising Methods
Cited by 14
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Large Language Models as Generalizable Policies for Embodied Tasks
Szot, A., Schwarzer, M., Agrawal, H., Mazoure, B., Talbott, W., Metcalf, K., Mackraz, N., Hjelm, D., & Toshev, A. (2023) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 14
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Practitioners' Expectations on Code Completion
Wang, C., Hu, J., Gao, C., Jin, Y., Xie, T., Huang, H., Lei, Z., & Deng, Y. (2023) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 14
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Sonic: Shifting Focus to Global Audio Perception in Portrait Animation
Ji, X., Hu, X., Xu, Z., Zhu, J., Lin, C., He, Q., Zhang, J., Luo, D., Chen, Y., Lin, Q., et al. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisHuman Motion and Animation
Cited by 14
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Federated Learning over Noisy Channels
Wei, X., & Shen, C. (2021) · ICC 2021 - IEEE International Conference on Communications
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 14
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