Check computer science papers: citations, claims and retractions

Neural Rendering and Reenactment of Human Actor Videos

Liu, L., Xu, W., Zollhöfer, M., Kim, H., Bernard, F., Habermann, M., Wang, W., & Theobalt, C. (2019) · ACM Transactions on Graphics

Generative Adversarial Networks and Image Synthesis3D Shape Modeling and Analysis

Cited by 163

Decentralized network governance: blockchain technology and the future of regulation

Zwitter, A., & Hazenberg, J. (2020) · Frontiers in Blockchain

Blockchain Technology Applications and SecurityRegulation and Compliance Studies

Cited by 163

PTQ4ViT: Post-Training Quantization for Vision Transformers with Twin Uniform Quantization

Yuan, Z., Xue, C., Chen, Y., Wu, Q., & Sun, G. (2022) · Lecture notes in computer science

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 163

Strategies for accelerating on-line learning of hotkeys

Grossman, T., Dragicevic, P., & Balakrishnan, R. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 163

PTQ4ViT: Post-training quantization for vision transformers with twin uniform quantization

Yuan, Z., Xue, C., Chen, Y., Wu, Q., & Sun, G. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 163

Can language models learn from explanations in context?

Lampinen, A. K., Dasgupta, I., Chan, S. C. Y., Matthewson, K., Tessler, M. H., Creswell, A., McClelland, J. L., Wang, J. X., & Hill, F. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 163

Quantum neural networks (QNNs): inherently fuzzy feedforward neural networks

Purushothaman, G., & Karayiannis, N. B. (1997) · IEEE Transactions on Neural Networks

Fuzzy Logic and Control SystemsNeural Networks and Applications

Cited by 163

Interactive Learning from Policy-Dependent Human Feedback

MacGlashan, J., Ho, M. K., Loftin, R., Peng, B., Wang, G., Roberts, D., Taylor, M. E., & Littman, M. L. (2017) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 163

Metamorphic testing for software quality assessment: A study of search engines

Zhou, Z. Q., Xiang, S., & Chen, T. Y. (2016) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 163

How Explainability Contributes to Trust in AI

Ferrario, A., & Loi, M. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 163

Considerations for managing Internet of Things (IoT) cybersecurity and privacy risks

Boeckl, K., Fagan, M., Fisher, W., Lefkovitz, N., Megas, K. N., Nadeau, E., O'Rourke, D. G., Piccarreta, B., & Scarfone, K. (2019)

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 163

Boosting coverage-based fault localization via graph-based representation learning

Lou, Y., Zhu, Q., Dong, J., Li, X., Sun, Z., Hao, D., Zhang, L., & Zhang, L. (2021) · Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 163

Future developments in cyber risk assessment for the internet of things

Radanliev, P., De Roure, D. C., Nicolescu, R., Huth, M., Montalvo, R. M., Cannady, S., & Burnap, P. (2018) · Computers in Industry

Information and Cyber SecurityIoT and Edge/Fog Computing

Cited by 162

An economic analysis of privacy protection and statistical accuracy as social choices

Abowd, J. M., & Schmutte, I. M. (2019) · American Economic Review

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 162

Speech Emotion Recognition with Dual-Sequence LSTM Architecture

Wang, J., Xue, M., Culhane, R., Diao, E., Ding, J., & Tarokh, V. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 162

Security and Privacy in the Internet of Medical Things: Taxonomy and Risk Assessment

Alsubaei, F., Abuhussein, A., & Shiva, S. (2017) · 2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN Workshops)

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 162

Assessing The Factual Accuracy of Generated Text

Goodrich, B., Rao, V., Liu, P. J., & Saleh, M. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Topic ModelingNatural Language Processing Techniques

Cited by 162

Learning to Control in Operational Space

Peters, J., & Schaal, S. (2008) · The International Journal of Robotics Research

Reinforcement Learning in RoboticsRobotic Mechanisms and Dynamics

Cited by 162

Artificial intelligence and machine learning for quantum technologies

Krenn, M., Landgraf, J., Foesel, T., & Marquardt, F. (2023) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 162

Understanding deformable alignment in video super-resolution

Chan, K. C. K., Wang, X., Yu, K., Dong, C., & Loy, C. C. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Image Processing TechniquesAdvanced Vision and Imaging

Cited by 162

FANN-on-MCU: An open-source toolkit for energy-efficient neural network inference at the edge of the Internet of Things

Wang, X., Magno, M., Cavigelli, L., & Benini, L. (2020) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingParallel Computing and Optimization Techniques

Cited by 162

Data augmentation for enhancing EEG-based emotion recognition with deep generative models.

Luo, Y., Zhu, L.-Z., Wan, Z.-Y., & Lu, B.-L. (2020) · Journal of Neural Engineering

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 162

Mobile Human Airbag System for Fall Protection Using MEMS Sensors and Embedded SVM Classifier

Shi, G., Chan, C. S., Li, W. J., Leung, K.-S., Zou, Y., & Jin, Y. (2009) · IEEE Sensors Journal

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 162

Vulnerability assessment and detection of Deepfake videos

Korshunov, P., & Marcel, S. (2019) · 2019 International Conference on Biometrics (ICB)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 162