Check computer science papers: citations, claims and retractions

Introduction to variational image-processing models and applications

Chen, K. (2013) · International Journal of Computer Mathematics

Image and Signal Denoising MethodsMedical Image Segmentation Techniques

Cited by 53

Histographs: graphs in histopathology

Anand, D., Gadiya, S., & Sethi, A. (2020) · Medical Imaging 2020: Digital Pathology

AI in cancer detectionCell Image Analysis Techniques

Cited by 53

Coupled Multimodal Emotional Feature Analysis Based on Broad-Deep Fusion Networks in Human–Robot Interaction

Chen, L., Li, M., Wu, M., Pedrycz, W., & Hirota, K. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Emotion and Mood RecognitionSocial Robot Interaction and HRI

Cited by 53

On Leakage-Resilient Authenticated Encryption with Decryption Leakages

Berti, F., Pereira, O., Peters, T., & Standaert, F.-X. (2017) · IACR Transactions on Symmetric Cryptology

Cryptographic Implementations and SecurityCryptography and Data Security

Cited by 53

Dreamix: Video Diffusion Models are General Video Editors

Molad, E., Horwitz, E., Valevski, D., Acha, A. R., Matias, Y., Pritch, Y., Leviathan, Y., & Hoshen, Y. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 53

Bias reformulation for one-shot function induction

Dianhuan, L., Eyal, D., Kevin, E., Joshua, T., & Stephen, M. (2014) · Frontiers in Artificial Intelligence and Applications

Logic, Reasoning, and KnowledgeAI-based Problem Solving and Planning

Cited by 53

True Random Number Generator Based on Flip-Flop Resolve Time Instability Boosted by Random Chaotic Source

Wieczorek, P. Z., & Golofit, K. (2018) · IEEE Transactions on Circuits and Systems I: Regular Papers

Physical Unclonable Functions (PUFs) and Hardware SecurityChaos-based Image/Signal Encryption

Cited by 53

The push to make software engineering respectable

Pour, G., Griss, M. L., & Lutz, M. (2000) · Computer

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 53

ChatGPT as a Factual Inconsistency Evaluator for Text Summarization

Luo, Z., Xie, Q., & Ananiadou, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 53

Risks from Learned Optimization in Advanced Machine Learning Systems

Hubinger, E., van Merwijk, C., Mikulik, V., Skalse, J., & Garrabrant, S. (2019) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 53

Information theoretic focal length selection for real-time active 3D object tracking

Denzler, Zobel, & Niemann (2003) · Proceedings Ninth IEEE International Conference on Computer Vision

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 53

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Geva, M., Bastings, J., Filippova, K., & Globerson, A. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 53

Prevention of Bias and Discrimination in Clinical Practice Algorithms

Shachar, C., & Gerke, S. (2023) · JAMA

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 53

Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Geva, M., Bastings, J., Filippova, K., & Globerson, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 53

Data-to-text generation with macro planning

Puduppully, R., & Lapata, M. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 53

Learning to Walk via Deep Reinforcement Learning

Haarnoja, T., Ha, S., Zhou, A., Tan, J., Tucker, G., & Levine, S. (2018) · arXiv

Reinforcement Learning in RoboticsRobotic Locomotion and Control

Cited by 53

On the Use of ArXiv as a Dataset

Clement, C. B., Bierbaum, M., O'Keeffe, K. P., & Alemi, A. A. (2019) · arXiv

Topic Modelingscientometrics and bibliometrics research

Cited by 53

Digital identities, student investments and eGranary as a placed resource

Norton, B., & Williams, C.-J. (2012) · Language and Education

ICT in Developing CommunitiesLibrary Science and Administration

Cited by 53

Combining explanation and argumentation in dialogue

Bex, F., & Walton, D. (2016) · Argument & Computation

Multi-Agent Systems and NegotiationLogic, Reasoning, and Knowledge

Cited by 53

MDLFace: Memorability augmented deep learning for video face recognition

Goswami, G., Bhardwaj, R., Singh, R., & Vatsa, M. (2014) · IEEE International Joint Conference on Biometrics

Face recognition and analysisFace and Expression Recognition

Cited by 53

Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss

HaoChen, J. Z., Wei, C., Gaidon, A., & Ma, T. (2021) · arXiv

Domain Adaptation and Few-Shot LearningStochastic Gradient Optimization Techniques

Cited by 53

Toward Fair, Accountable, and Transparent Algorithms: Case Studies on Algorithm Initiatives in Korea and China

Shin, D. (. (2019) · Javnost - The Public

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 53

Security and Data Accountability in Distributed Systems: A Provenance Survey

Tan, Y. S., Ko, R. K. L., & Holmes, G. (2013) · 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing

Blockchain Technology Applications and SecurityAccess Control and Trust

Cited by 53

Multi-column Deep Neural Networks for Image Classification

Cireşan, D., Meier, U., & Schmidhuber, J. (2012) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 53