Most cited computer science papers
- Verified
Getting a grip on tangible interaction: a framework on physical space and social interaction
Hornecker, E., & Buur, J. (2006) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Interactive and Immersive DisplaysInnovative Human-Technology Interaction
Cited by 1,100
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Speech-Transformer: A No-Recurrence Sequence-to-Sequence Model for Speech Recognition
Dong, L., Xu, S., & Xu, B. (2018) · 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 1,100
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A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact
Chamola, V., Hassija, V., Gupta, V., & Guizani, M. (2020) · IEEE Access
Healthcare during COVID-19 PandemicInternet of Things and AI
Cited by 1,099
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Deep Interest Evolution Network for Click-Through Rate Prediction
Zhou, G., Mou, N., Fan, Y., Pi, Q., Bian, W., Zhou, C., Zhu, X., & Gai, K. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Recommender Systems and TechniquesInformation Retrieval and Search Behavior
Cited by 1,099
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Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion
Murray, I. R., & Arnott, J. L. (1993) · The Journal of the Acoustical Society of America
Emotion and Mood RecognitionSpeech Recognition and Synthesis
Cited by 1,098
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Algorithmic content moderation: Technical and political challenges in the automation of platform governance
Gorwa, R., Binns, R., & Katzenbach, C. (2020) · Big Data & Society
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 1,097
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Interpretable Explanations of Black Boxes by Meaningful Perturbation
Fong, R. C., & Vedaldi, A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)
Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning
Cited by 1,097
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Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
Tajbakhsh, N., Jeyaseelan, L., Li, Q., Chiang, J. N., Wu, Z., & Ding, X. (2020) · Medical Image Analysis
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 1,095
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Machine Learning Paradigms for Next-Generation Wireless Networks
Jiang, C., Zhang, H., Ren, Y., Han, Z., Chen, K.-C., & Hanzo, L. (2017) · IEEE Wireless Communications
Cognitive Radio Networks and Spectrum SensingAdvanced Wireless Network Optimization
Cited by 1,095
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Word association norms, mutual information, and lexicography
Church, K. W., & Hanks, P. (1989) · Proceedings of the 27th annual meeting on Association for Computational Linguistics -
Natural Language Processing TechniquesLexicography and Language Studies
Cited by 1,094
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USAD: UnSupervised Anomaly Detection on Multivariate Time Series
Audibert, J., Michiardi, P., Guyard, F., Marti, S., & Zuluaga, M. A. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability
Cited by 1,094
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Universal linear optics
Carolan, J., Harrold, C., Sparrow, C., Martín-López, E., Russell, N. J., Silverstone, J. W., Shadbolt, P. J., Matsuda, N., Oguma, M., Itoh, M., et al. (2015) · Science
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 1,093
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Image analysis and machine learning in digital pathology: challenges and opportunities
Madabhushi, A., & Lee, G. (2016) · Medical Image Analysis
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 1,093
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Deep neural networks: a new framework for modeling biological vision and brain information processing
Kriegeskorte, N. (2015) · Annual Review of Vision Science
Advanced Neural Network ApplicationsVisual perception and processing mechanisms
Cited by 1,093
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Attention on Attention for Image Captioning
Huang, L., Wang, W., Chen, J., & Wei, X.-Y. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection
Cited by 1,092
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Explanation of machine learning models using shapley additive explanation and application for real data in hospital
Nohara, Y., Matsumoto, K., Soejima, H., & Nakashima, N. (2022) · Computer Methods and Programs in Biomedicine
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare
Cited by 1,091
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Biometric recognition: security and privacy concerns
Prabhakar, S., Pankanti, S., & Jain, A. K. (2003) · IEEE Security & Privacy
Biometric Identification and SecurityUser Authentication and Security Systems
Cited by 1,091
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Deep Learning on Image Denoising: An overview
Tian, C., Fei, L., Zheng, W., Xu, Y., Zuo, W., & Lin, C.-W. (2020) · Neural Networks
Image and Signal Denoising MethodsImage Enhancement Techniques
Cited by 1,091
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Measurement-based quantum computation
Briegel, H. J., Browne, D. E., Dür, W., Raussendorf, R., & Van den Nest, M. (2009) · Nature Physics
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 1,090
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First person experience of body transfer in virtual reality
Slater, M., Spanlang, B., Sanchez-Vives, M. V., & Blanke, O. (2010) · PLoS ONE
Virtual Reality Applications and ImpactsFree Will and Agency
Cited by 1,090
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Natural Adversarial Examples
Hendrycks, D., Zhao, K., Basart, S., Steinhardt, J., & Song, D. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Adversarial Robustness in Machine LearningMachine Learning and Data Classification
Cited by 1,090
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A graduated assignment algorithm for graph matching
Gold, S., & Rangarajan, A. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence
Graph Theory and AlgorithmsAdvanced Image and Video Retrieval Techniques
Cited by 1,090
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Chatbots: History, technology, and applications
Adamopoulou, E., & Moussiades, L. (2020) · Machine Learning with Applications
Speech and dialogue systemsAI in Service Interactions
Cited by 1,090
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Bayesian Graphical Models for Discrete Data
Madigan, D., York, J., & Allard, D. (1995) · International Statistical Review / Revue Internationale de Statistique
Bayesian Modeling and Causal InferenceMarkov Chains and Monte Carlo Methods
Cited by 1,090
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