Most cited computer science papers
- Verified
Automated program repair
Le Goues, C., Pradel, M., & Roychoudhury, A. (2019) · Communications of the ACM
Software Testing and Debugging TechniquesSoftware Engineering Research
Cited by 410
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Fault Analysis and Debugging of Microservice Systems: Industrial Survey, Benchmark System, and Empirical Study
Zhou, X., Peng, X., Xie, T., Sun, J., Ji, C., Li, W., & Ding, D. (2021) · IEEE Transactions on Software Engineering
Software System Performance and ReliabilitySoftware Testing and Debugging Techniques
Cited by 410
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Comparing acceptance and refusal rates of virtual reality exposure vs. in vivo exposure by patients with specific phobias
Garcia-Palacios, A., Botella, C., Hoffman, H., & Fabregat, S. (2007) · CyberPsychology & Behavior
Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Cited by 410
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Evolutionary testing of classes
Tonella, P. (2004) · Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis
Software Testing and Debugging TechniquesEvolutionary Algorithms and Applications
Cited by 410
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Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis
Sun, Z., Sarma, P., Sethares, W., & Liang, Y. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications
Cited by 410
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Algorithmic War: Everyday Geographies of the War on Terror
Amoore, L. (2009) · Antipode
Ethics and Social Impacts of AITerrorism, Counterterrorism, and Political Violence
Cited by 410
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The Ethics of Realism in Virtual and Augmented Reality
Slater, M., Gonzalez-Liencres, C., Haggard, P., Vinkers, C., Gregory-Clarke, R., Jelley, S., Watson, Z., Breen, G., Schwarz, R., Steptoe, W., et al. (2020) · Frontiers in Virtual Reality
Virtual Reality Applications and ImpactsEthics and Social Impacts of AI
Cited by 410
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Multidimensional Binary Search Trees in Database Applications
Bentley, J. L. (1979) · IEEE Transactions on Software Engineering
Data Management and AlgorithmsAdvanced Database Systems and Queries
Cited by 410
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NVIDIA A100 Tensor Core GPU: Performance and Innovation
Choquette, J., Gandhi, W., Giroux, O., Stam, N., & Krashinsky, R. (2021) · IEEE Micro
Parallel Computing and Optimization TechniquesComputer Graphics and Visualization Techniques
Cited by 410
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Mapping the Landscape of Creativity Support Tools in HCI
Frich, J., MacDonald Vermeulen, L., Remy, C., Biskjaer, M. M., & Dalsgaard, P. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionCreativity in Education and Neuroscience
Cited by 410
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Single and multi-agent deep reinforcement learning for AI-enabled wireless networks: A tutorial
Feriani, A., & Hossain, E. (2021) · IEEE Communications Surveys & Tutorials
Reinforcement Learning in RoboticsAdvanced Wireless Network Optimization
Cited by 410
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Quantum Reinforcement Learning
Dong, D., Chen, C., Li, H., & Tarn, T.-J. (2008) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
Quantum Computing Algorithms and ArchitectureReinforcement Learning in Robotics
Cited by 410
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Number of people required for usability evaluation: the 10±2 rule
Hwang, W., & Salvendy, G. (2010) · Communications of the ACM
Usability and User Interface DesignSoftware Engineering Techniques and Practices
Cited by 410
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DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks
Rajchl, M., Lee, M. C. H., Oktay, O., Kamnitsas, K., Passerat-Palmbach, J., Bai, W., Damodaram, M., Rutherford, M. A., Hajnal, J. V., Kainz, B., et al. (2017) · IEEE Transactions on Medical Imaging
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 410
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Embodied Question Answering
Das, A., Datta, S., Gkioxari, G., Lee, S., Parikh, D., & Batra, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Reinforcement Learning in RoboticsMultimodal Machine Learning Applications
Cited by 410
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A Systematic Survey of Industrial Internet of Things Security: Requirements and Fog Computing Opportunities
Tange, K., De Donno, M., Fafoutis, X., & Dragoni, N. (2020) · IEEE Communications Surveys & Tutorials
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 410
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To be or not to be algorithm aware: a question of a new digital divide?
Gran, A.-B., Booth, P., & Bucher, T. (2021) · Information, Communication & Society
Ethics and Social Impacts of AIPrivacy, Security, and Data Protection
Cited by 410
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Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
Schaffter, T., Buist, D. S. M., Lee, C. I., Nikulin, Y., Ribli, D., Guan, Y., Lotter, W., Jie, Z., Du, H., Wang, S., et al. (2020) · JAMA Network Open
AI in cancer detectionDigital Radiography and Breast Imaging
Cited by 409
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Nonlinear feature based classification of speech under stress.
Zhou, G., Hansen, J. H. L., & Kaiser, J. F. (2001) · IEEE Transactions on Speech and Audio Processing
Emotion and Mood RecognitionSpeech Recognition and Synthesis
Cited by 409
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Empirical review of automated analysis tools on 47,587 Ethereum smart contracts
Durieux, T., Ferreira, J. F., Abreu, R., & Cruz, P. (2020) · Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering
Blockchain Technology Applications and SecuritySoftware Testing and Debugging Techniques
Cited by 409
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Context-aware wireless sensor networks for assisted living and residential monitoring
Wood, A. D., Stankovic, J. A., Virone, G., Selavo, L., He, Z., Cao, Q., Doan, T., Wu, Y., Fang, L., & Stoleru, R. (2008) · IEEE Network
Context-Aware Activity Recognition SystemsWireless Sensor Networks for Data Analysis
Cited by 409
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TCP Hybla: a TCP enhancement for heterogeneous networks
Caini, C., & Firrincieli, R. (2004) · International Journal of Satellite Communications and Networking
Network Traffic and Congestion ControlWireless Networks and Protocols
Cited by 409
- Verified
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Ringeval, F., Schuller, B., Valstar, M., Cummins, N., Cowie, R., Tavabi, L., Schmitt, M., Alisamir, S., Amiriparian, S., Messner, E.-M., et al. (2019) · Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop
Emotion and Mood RecognitionSpeech and Audio Processing
Cited by 409
- Verified
Fog computing security: A review of current applications and security solutions
Khan, S., Parkinson, S., & Qin, Y. (2017) · Journal of Cloud Computing
IoT and Edge/Fog ComputingSecurity and Verification in Computing
Cited by 409
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