Most cited computer science papers
- Verified
Classical versus quantum models in machine learning: insights from a finance application
Alcazar, J., Leyton-Ortega, V., & Perdomo-Ortiz, A. (2020) · Machine Learning: Science and Technology
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 69
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Transforming cybersecurity with agentic AI to combat emerging cyber threats
Kshetri, N. (2025) · Telecommunications Policy
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 69
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A Neural Corpus Indexer for Document Retrieval
Wang, Y., Hou, Y., Wang, H., Miao, Z., Wu, S., Chen, Q., Xia, Y., Chi, C., Zhao, G., Liu, Z., et al. (2022) · Advances in Neural Information Processing Systems 35
Information Retrieval and Search BehaviorNatural Language Processing Techniques
Cited by 69
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Optical flow estimation with uncertainties through dynamic MRFs
Glocker, B., Paragios, N., Komodakis, N., Tziritas, G., & Navab, N. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition
Advanced Vision and ImagingMedical Image Segmentation Techniques
Cited by 69
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Speech is Silver, Silence is Golden: What do ASVspoof-trained Models Really Learn?
Müller, N., Dieckmann, F., Czempin, P., Canals, R., Böttinger, K., & Williams, J. (2021) · 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 69
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Influence-Based Multi-Agent Exploration
Wang, T., Wang, J., Wu, Y., & Zhang, C. (2019) · arXiv
Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research
Cited by 69
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Lazy Batching: An SLA-aware Batching System for Cloud Machine Learning Inference
Choi, Y., Kim, Y., & Rhu, M. (2021) · 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA)
Cloud Computing and Resource ManagementSoftware System Performance and Reliability
Cited by 69
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Characterizing Visual Programming Approaches for End-User Developers: A Systematic Review
Kuhail, M. A., Farooq, S., Hammad, R., & Bahja, M. (2021) · IEEE Access
Spreadsheets and End-User ComputingTeaching and Learning Programming
Cited by 69
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Subjective and behavioral presence measurement and interactivity in the collaborative augmented reality game TimeWarp
von der Pütten, A. M., Klatt, J., Ten Broeke, S., McCall, R., Krämer, N. C., Wetzel, R., Blum, L., Oppermann, L., & Klatt, J. (2012) · Interacting with Computers
Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI
Cited by 69
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The search dashboard: how reflection and comparison impact search behavior
Bateman, S., Teevan, J., & White, R. W. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Retrieval and Search BehaviorUsability and User Interface Design
Cited by 69
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MACE prediction of acute coronary syndrome via boosted resampling classification using electronic medical records
Huang, Z., Chan, T.-M., & Dong, W. (2017) · Journal of Biomedical Informatics
Machine Learning in HealthcareArtificial Intelligence in Healthcare
Cited by 69
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What’s in the Box? An Analysis of Undesirable Content in the Common Crawl Corpus
Luccioni, A., & Viviano, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Hate Speech and Cyberbullying DetectionNatural Language Processing Techniques
Cited by 69
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Front Vehicle Detection Algorithm for Smart Car Based on Improved SSD Model
Cao, J., Song, C., Song, S., Peng, S., Wang, D., Shao, Y., & Xiao, F. (2020) · Sensors
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 69
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Data Distributional Properties Drive Emergent In-Context Learning in Transformers
Chan, S., Santoro, A., Lampinen, A., Wang, J., Singh, A., Richemond, P., McClelland, J., & Hill, F. (2022) · Advances in Neural Information Processing Systems 35
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 69
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Edge computing based secure health monitoring framework for electronic healthcare system
Singh, A., & Chatterjee, K. (2023) · Cluster Computing
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 69
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A multi-institutional study using artificial intelligence to provide reliable and fair feedback to surgeons
Kiyasseh, D., Laca, J., Haque, T. F., Miles, B. J., Wagner, C., Donoho, D. A., Anandkumar, A., & Hung, A. J. (2023) · Communications Medicine
Explainable Artificial Intelligence (XAI)Surgical Simulation and Training
Cited by 69
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Toward involving end-users in interactive human-in-the-loop AI fairness
Nakao, Y., Stumpf, S., Ahmed, S., Naseer, A., & Strappelli, L. (2022) · ACM Transactions on Interactive Intelligent Systems
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 69
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The Case for Generative AI in Scholarly Practice
Berg, C. (2023) · SSRN Electronic Journal
Ethics and Social Impacts of AIAcademic integrity and plagiarism
Cited by 69
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On Suggesting Phrases vs. Predicting Words for Mobile Text Composition
Arnold, K. C., Gajos, K. Z., & Kalai, A. T. (2016) · Proceedings of the 29th Annual Symposium on User Interface Software and Technology
Usability and User Interface DesignInteractive and Immersive Displays
Cited by 69
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Dissecting the NVidia Turing T4 GPU via Microbenchmarking
Jia, Z., Maggioni, M., Smith, J., & Scarpazza, D. P. (2019) · arXiv
Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques
Cited by 69
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Machine learning phase transitions with a quantum processor
Uvarov, A. V., Kardashin, A. S., & Biamonte, J. D. (2020) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 69
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Prioritizing new objects for eye fixation in real-world scenes: Effects of object–scene consistency
Brockmole, J. R., & Henderson, J. M. (2008) · Visual Cognition
Visual Attention and Saliency DetectionVisual perception and processing mechanisms
Cited by 69
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Cloud Versus Edge Deployment Strategies of Real-Time Face Recognition Inference
Koubaa, A., Ammar, A., Kanhouch, A., & AlHabashi, Y. (2022) · IEEE Transactions on Network Science and Engineering
Advanced Neural Network ApplicationsIoT and Edge/Fog Computing
Cited by 69
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Survivable zero trust for cloud computing environments
Ferretti, L., Magnanini, F., Andreolini, M., & Colajanni, M. (2021) · Computers & Security
Security and Verification in ComputingCloud Data Security Solutions
Cited by 69
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