Most cited computer science papers
- Verified
Challenges and future directions of secure federated learning: a survey
Zhang, K., Song, X., Zhang, C., & Yu, S. (2022) · Frontiers of Computer Science
Privacy-Preserving Technologies in DataCryptography and Data Security
Cited by 127
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The Power of Block-Encoded Matrix Powers: Improved Regression Techniques via Faster Hamiltonian Simulation
Chakraborty, S., Gilyén, A., & Jeffery, S. (2019) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 127
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Do People Engage Cognitively with AI? Impact of AI Assistance on Incidental Learning
Gajos, K. Z., & Mamykina, L. (2022) · 27th International Conference on Intelligent User Interfaces
Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety
Cited by 127
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The Use of Virtual Reality in Acrophobia Research and Treatment
Coelho, C. M., Waters, A. M., Hine, T. J., & Wallis, G. (2009) · Journal of Anxiety Disorders
Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Cited by 127
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Surface Form Competition: Why the Highest Probability Answer Isn’t Always Right
Holtzman, A., West, P., Shwartz, V., Choi, Y., & Zettlemoyer, L. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 127
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Fast Random Walk Graph Kernel
Kang, U., Tong, H., & Sun, J. (2012) · Proceedings of the 2012 SIAM International Conference on Data Mining
Graph Theory and AlgorithmsAdvanced Graph Neural Networks
Cited by 127
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What is a quantum simulator?
Johnson, T. H., Clark, S. R., & Jaksch, D. (2014) · EPJ Quantum Technology
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 127
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Deep-learning model for predicting 30-day postoperative mortality
Fritz, B. A., Cui, Z., Zhang, M., He, Y., Chen, Y., Kronzer, A., Ben Abdallah, A., King, C. R., & Avidan, M. S. (2019) · British Journal of Anaesthesia
Machine Learning in HealthcareCardiac, Anesthesia and Surgical Outcomes
Cited by 127
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An enhanced neural network technique for software risk analysis
Neumann, D. E. (2002) · IEEE Transactions on Software Engineering
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 127
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Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions
Xue, H., Hang, T., Zeng, Y., Sun, Y., Liu, B., Yang, H., Fu, J., & Guo, B. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition
Cited by 127
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Comparison of Pre-Trained CNNs for Audio Classification Using Transfer Learning
Tsalera, E., Papadakis, A., & Samarakou, M. (2021) · Journal of Sensor and Actuator Networks
Music and Audio ProcessingSpeech Recognition and Synthesis
Cited by 127
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Blockchain-based protocol of autonomous business activity for multi-agent systems consisting of UAVs
Kapitonov, A., Lonshakov, S., Krupenkin, A., & Berman, I. (2017) · 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)
Blockchain Technology Applications and SecurityMulti-Agent Systems and Negotiation
Cited by 127
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A privacy framework for mobile health and home-care systems
Kotz, D., Avancha, S., & Baxi, A. (2009) · Proceedings of the first ACM workshop on Security and privacy in medical and home-care systems
Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection
Cited by 127
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Proof of Authentication: IoT-Friendly Blockchains
Puthal, D., & Mohanty, S. P. (2019) · IEEE Potentials
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
Cited by 127
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Physical Unbiased Generation of Random Numbers With Coupled Resistive Switching Devices
Balatti, S., Ambrogio, S., Carboni, R., Milo, V., Wang, Z., Calderoni, A., Ramaswamy, N., & Ielmini, D. (2016) · IEEE Transactions on Electron Devices
Physical Unclonable Functions (PUFs) and Hardware SecurityAdvanced Memory and Neural Computing
Cited by 127
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Software-Defined Perimeter (SDP): State of the Art Secure Solution for Modern Networks
Moubayed, A., Refaey, A., & Shami, A. (2019) · IEEE Network
Software-Defined Networks and 5GCybersecurity and Information Systems
Cited by 127
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Augmented reality assisted learning achievement, motivation, and creativity for children of low‐grade in primary school
Yousef, A. M. F. (2021) · Journal of Computer Assisted Learning
Augmented Reality ApplicationsMultimedia Learning Systems
Cited by 127
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Rethinking Fairness: An Interdisciplinary Survey of Critiques of Hegemonic ML Fairness Approaches
Weinberg, L. (2022) · Journal of Artificial Intelligence Research
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 127
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Automatic Curriculum Learning For Deep RL: A Short Survey
Portelas, R., Colas, C., Weng, L., Hofmann, K., & Oudeyer, P.-Y. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 127
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Noise Thresholds for Optical Quantum Computers
Dawson, C. M., Haselgrove, H. L., & Nielsen, M. A. (2006) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 127
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Mobile-based assessment: A literature review of publications in major referred journals from 2009 to 2018
Nikou, S. A., & Economides, A. A. (2018) · Computers & Education
Mobile Learning in EducationStudent Assessment and Feedback
Cited by 127
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QoE in IoT: a vision, survey and future directions
Fizza, K., Banerjee, A., Mitra, K., Jayaraman, P. P., Ranjan, R., Patel, P., & Georgakopoulos, D. (2021) · Discover Internet of Things
IoT and Edge/Fog ComputingImage and Video Quality Assessment
Cited by 127
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Artificial intelligence maturity model: A systematic literature review
Sadiq, R. B., Safie, N., Abd Rahman, A. H., & Goudarzi, S. (2021) · PeerJ Computer Science
Artificial Intelligence ApplicationsInformation Technology Governance and Strategy
Cited by 127
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Capacity and Quantum Geometry of Parametrized Quantum Circuits
Haug, T., Bharti, K., & Kim, M. S. (2021) · PRX Quantum
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 127
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