Most cited computer science papers
- Verified
A Simple Relational Classifier
Macskassy, S. A., & Provost, F. (2003)
Bayesian Modeling and Causal InferenceData Mining and Machine Learning Applications
Cited by 255
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QoS-Aware Adaptive Routing in Multi-layer Hierarchical Software Defined Networks: A Reinforcement Learning Approach
Lin, S.-C., Akyildiz, I. F., Wang, P., & Luo, M. (2016) · 2016 IEEE International Conference on Services Computing (SCC)
Software-Defined Networks and 5GAdvanced Optical Network Technologies
Cited by 255
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Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation
Zhu, J., Liapis, A., Risi, S., Bidarra, R., & Youngblood, G. M. (2018) · 2018 IEEE Conference on Computational Intelligence and Games (CIG)
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games
Cited by 255
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Novel Schemes for Measurement-Based Quantum Computation
Gross, D., & Eisert, J. (2007) · Physical Review Letters
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 255
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Quantum walks in higher dimensions
Mackay, T. D., Bartlett, S. D., Stephenson, L. T., & Sanders, B. C. (2002) · Journal of Physics A: Mathematical and General
Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications
Cited by 255
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Democratizing education? Examining access and usage patterns in massive open online courses
Hansen, J. D., & Reich, J. (2015) · Science
Online Learning and AnalyticsOnline and Blended Learning
Cited by 255
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Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks
Mengu, D., Luo, Y., Rivenson, Y., & Ozcan, A. (2020) · IEEE Journal of Selected Topics in Quantum Electronics
Neural Networks and Reservoir ComputingRandom lasers and scattering media
Cited by 255
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Insight Into Insiders and IT: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures
Homoliak, I., Toffalini, F., Guarnizo, J., Elovici, Y., & Ochoa, M. (2020) · ACM Computing Surveys
Information and Cyber SecurityNetwork Security and Intrusion Detection
Cited by 255
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Nonverbal social withdrawal in depression: Evidence from manual and automatic analyses
Girard, J. M., Cohn, J. F., Mahoor, M. H., Mavadati, S. M., Hammal, Z., & Rosenwald, D. P. (2014) · Image and Vision Computing
Emotion and Mood RecognitionAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Cited by 255
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Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach
Kang, J., Xiong, Z., Niyato, D., Yu, H., Liang, Y.-C., & Kim, D. I. (2019) · 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)
Privacy-Preserving Technologies in DataAdvanced MIMO Systems Optimization
Cited by 255
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Face-to-Face Interaction with Pedagogical Agents, Twenty Years Later
Johnson, W. L., & Lester, J. C. (2016) · International Journal of Artificial Intelligence in Education
Intelligent Tutoring Systems and Adaptive LearningSocial Robot Interaction and HRI
Cited by 255
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A Graph-Transformer for Whole Slide Image Classification
Zheng, Y., Gindra, R. H., Green, E. J., Burks, E. J., Betke, M., Beane, J. E., & Kolachalama, V. B. (2022) · IEEE Transactions on Medical Imaging
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 255
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Large scale analysis of web revisitation patterns
Adar, E., Teevan, J., & Dumais, S. T. (2008) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Information Retrieval and Search BehaviorWeb Data Mining and Analysis
Cited by 255
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Holistic Evaluation of Language Models
Liang, P., Bommasani, R., Lee, T., Tsipras, D., Soylu, D., Yasunaga, M., Zhang, Y., Narayanan, D., Wu, Y., Kumar, A., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 255
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Non-fungible token (NFT) markets on the Ethereum blockchain: Temporal development, cointegration and interrelations
Ante, L. (2023) · Economics of Innovation and New Technology
Blockchain Technology Applications and SecurityFinTech, Crowdfunding, Digital Finance
Cited by 255
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Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Pidhorskyi, S., Almohsen, R., Adjeroh, D. A., & Doretto, G. (2018) · arXiv
Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning
Cited by 255
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Evaluation of volume-based and surface-based brain image registration methods
Klein, A., Ghosh, S. S., Avants, B., Yeo, B. T. T., Fischl, B., Ardekani, B., Gee, J. C., Mann, J. J., & Parsey, R. V. (2010) · NeuroImage
Medical Image Segmentation TechniquesFunctional Brain Connectivity Studies
Cited by 255
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Context-Aware Online Adaptation of Mixed Reality Interfaces
Lindlbauer, D., Feit, A. M., & Hilliges, O. (2019) · Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology
Interactive and Immersive DisplaysAugmented Reality Applications
Cited by 254
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Finding approximate POMDP solutions through belief compression
Roy, N., Gordon, G., & Thrun, S. (2005) · Journal of Artificial Intelligence Research
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 254
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A Robust Mutual Authentication Protocol for Wireless Sensor Networks
Chen, T.-H. (2010) · ETRI Journal
Advanced Authentication Protocols SecuritySecurity in Wireless Sensor Networks
Cited by 254
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Presence and Reality Judgment in Virtual Environments: A Unitary Construct?
Baños, R. M., Botella, C., Garcia-Palacios, A., Villa, H., Perpiña, C., & Alcañiz, M. (2000) · CyberPsychology & Behavior
Virtual Reality Applications and ImpactsFlow Experience in Various Fields
Cited by 254
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What Limits the Simulation of Quantum Computers?
Zhou, Y., Stoudenmire, E. M., & Waintal, X. (2020) · Physical Review X
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 254
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RetinaTrack: Online Single Stage Joint Detection and Tracking
Lu, Z., Rathod, V., Votel, R., & Huang, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 254
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Towards fairer datasets: filtering and balancing the distribution of the people subtree in the ImageNet hierarchy
Yang, K., Qinami, K., Fei-Fei, L., Deng, J., & Russakovsky, O. (2020) · Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
Ethics and Social Impacts of AIAdvanced Neural Network Applications
Cited by 254
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