Most cited computer science papers
- Verified
Controller Area Network (CAN) schedulability analysis: Refuted, revisited and revised
Davis, R. I., Burns, A., Bril, R. J., & Lukkien, J. J. (2007) · Real-Time Systems
Real-Time Systems SchedulingSafety Systems Engineering in Autonomy
Cited by 786
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Exposing DeepFake Videos By Detecting Face Warping Artifacts
Li, Y., & Lyu, S. (2018) · arXiv
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 785
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Neural Architecture Search
Elsken, T., Metzen, J. H., & Hutter, F. (2019) · The Springer Series on Challenges in Machine Learning
Machine Learning and Data ClassificationAdvanced Neural Network Applications
Cited by 785
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Initial validation of the general attitudes towards Artificial Intelligence Scale
Schepman, A., & Rodway, P. (2020) · Computers in Human Behavior Reports
Ethics and Social Impacts of AIGender and Technology in Education
Cited by 785
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Explainable Reasoning over Knowledge Graphs for Recommendation
Wang, X., Wang, D., Xu, C., He, X., Cao, Y., & Chua, T.-S. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Recommender Systems and TechniquesAdvanced Graph Neural Networks
Cited by 785
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A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Mohseni, S., Zarei, N., & Ragan, E. D. (2021) · ACM Transactions on Interactive Intelligent Systems
Explainable Artificial Intelligence (XAI)Data Visualization and Analytics
Cited by 785
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CNN: Single-label to Multi-label
Wei, Y., Xia, W., Huang, J., Ni, B., Dong, J., Zhao, Y., & Yan, S. (2014) · arXiv
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 784
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Recipes for building an open-domain chatbot
Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Shuster, K., Smith, E. M., et al. (2020) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 784
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An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
Liu, R., Lehman, J., Molino, P., Such, F. P., Frank, E., Sergeev, A., & Yosinski, J. (2018) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 784
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Boosting and Differential Privacy
Dwork, C., Rothblum, G. N., & Vadhan, S. (2010) · 2010 IEEE 51st Annual Symposium on Foundations of Computer Science
Privacy-Preserving Technologies in DataAdvanced Database Systems and Queries
Cited by 784
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Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding
Kendall, A., Badrinarayanan, V., & Cipolla, R. (2017) · Procedings of the British Machine Vision Conference 2017
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 784
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Recipes for Building an Open-Domain Chatbot
Roller, S., Dinan, E., Goyal, N., Ju, D., Williamson, M., Liu, Y., Xu, J., Ott, M., Smith, E. M., Boureau, Y.-L., et al. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Speech and dialogue systemsTopic Modeling
Cited by 784
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Real Image Denoising With Feature Attention
Anwar, S., & Barnes, N. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Image and Signal Denoising MethodsImage Enhancement Techniques
Cited by 784
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SHA-3 standard: permutation-based hash and extendable-output functions
National Institute of Standards and Technology (US) (2015)
Cryptographic Implementations and SecurityCryptography and Residue Arithmetic
Cited by 783
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Explainable AI (XAI): A systematic meta-survey of current challenges and future opportunities
Saeed, W., & Omlin, C. (2023) · Knowledge-Based Systems
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 783
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Out of One, Many: Using Language Models to Simulate Human Samples
Argyle, L. P., Busby, E. C., Fulda, N., Gubler, J. R., Rytting, C., & Wingate, D. (2023) · Political Analysis
Ethics and Social Impacts of AIComputational and Text Analysis Methods
Cited by 783
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A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Mohseni, S., Zarei, N., & Ragan, E. D. (2018) · arXiv
Explainable Artificial Intelligence (XAI)Data Visualization and Analytics
Cited by 783
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Artificial intelligence in information systems research: A systematic literature review and research agenda
Collins, C., Dennehy, D., Conboy, K., & Mikalef, P. (2021) · International Journal of Information Management
Artificial Intelligence ApplicationsInformation Systems Theories and Implementation
Cited by 783
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Discrimination in online ad delivery
Sweeney, L. (2013) · Communications of the ACM
Ethics and Social Impacts of AINames, Identity, and Discrimination Research
Cited by 783
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Generative adversarial network: An overview of theory and applications
Aggarwal, A., Mittal, M., & Battineni, G. (2021) · International Journal of Information Management Data Insights
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 783
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ConViT: improving vision transformers with soft convolutional inductive biases
d’Ascoli, S., Touvron, H., Leavitt, M. L., Morcos, A. S., Biroli, G., & Sagun, L. (2022) · Journal of Statistical Mechanics: Theory and Experiment
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 782
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Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
Ghadiyaram, D., & Bovik, A. C. (2016) · IEEE Transactions on Image Processing
Image and Video Quality AssessmentImage Retrieval and Classification Techniques
Cited by 782
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A comparison of similarity measures for use in 2-D-3-D medical image registration
Penney, G. P., Weese, J., Little, J. A., Desmedt, P., Hill, D. L. G., & hawkes, D. J. (1998) · IEEE Transactions on Medical Imaging
Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques
Cited by 782
- Verified
Expokit: a software package for computing matrix exponentials
Sidje, R. B. (1998) · ACM Transactions on Mathematical Software
Matrix Theory and AlgorithmsNumerical Solvers for Ordinary Differential Equations
Cited by 781
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