Check computer science papers: citations, claims and retractions

Understanding Security Issues in the NFT Ecosystem

Das, D., Bose, P., Ruaro, N., Kruegel, C., & Vigna, G. (2022) · Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 195

Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book

MacNeil, S., Tran, A., Hellas, A., Kim, J., Sarsa, S., Denny, P., Bernstein, S., & Leinonen, J. (2023) · Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 195

Algorithmic Impact Assessments and Accountability: The Co-construction of Impacts

Metcalf, J., Moss, E., Watkins, E. A., Singh, R., & Elish, M. C. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 195

A Review of Cybersecurity Incidents in the Water Sector

Hassanzadeh, A., Rasekh, A., Galelli, S., Aghashahi, M., Taormina, R., Ostfeld, A., & Banks, M. K. (2020) · Journal of Environmental Engineering

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 195

How Robust Are Probabilistic Models of Higher-Level Cognition?

Marcus, G. F., & Davis, E. (2013) · Psychological Science

Bayesian Modeling and Causal InferenceCategorization, perception, and language

Cited by 195

Exploring the intersection between software industry and software engineering education - A systematic mapping of software engineering trends

Cico, O., Jaccheri, L., Nguyen-Duc, A., & Zhang, H. (2021) · Journal of Systems and Software

Software Engineering Techniques and PracticesInformation Systems Education and Curriculum Development

Cited by 195

Weyl, Dirac, and Maxwell equations on a lattice as unitary cellular automata

Bialynicki-Birula, I. (1994) · Physical Review D

Cellular Automata and ApplicationsNoncommutative and Quantum Gravity Theories

Cited by 195

Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling

Richard, A., Kuehne, H., & Gall, J. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 195

Usability, user experience and accessibility: towards an integrative model

Sauer, J., Sonderegger, A., & Schmutz, S. (2020) · Ergonomics

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 195

Facial Expression Recognition: A Survey

Huang, Y., Chen, F., Lv, S., & Wang, X. (2019) · Symmetry

Emotion and Mood RecognitionFace recognition and analysis

Cited by 195

2.4 Gbps, 7 mW All-Digital PVT-Variation Tolerant True Random Number Generator for 45 nm CMOS High-Performance Microprocessors

Mathew, S. K., Srinivasan, S., Anders, M. A., Kaul, H., Hsu, S. K., Sheikh, F., Agarwal, A., Satpathy, S., & Krishnamurthy, R. K. (2012) · IEEE Journal of Solid-State Circuits

Physical Unclonable Functions (PUFs) and Hardware SecurityLow-power high-performance VLSI design

Cited by 195

Toward Fast and Accurate Vehicle Detection in Aerial Images Using Coupled Region-Based Convolutional Neural Networks

Deng, Z., Sun, H., Zhou, S., Zhao, J., & Zou, H. (2017) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 195

The algorithmic anatomy of model-based evaluation

Daw, N. D., & Dayan, P. (2014) · Philosophical Transactions of the Royal Society B: Biological Sciences

Reinforcement Learning in RoboticsNeural and Behavioral Psychology Studies

Cited by 195

Optimal medication dosing from suboptimal clinical examples: a deep reinforcement learning approach

Nemati, S., Ghassemi, M. M., & Clifford, G. D. (2016) · 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 195

When Machine Unlearning Jeopardizes Privacy

Chen, M., Zhang, Z., Wang, T., Backes, M., Humbert, M., & Zhang, Y. (2021) · Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 195

Who's In Control?: Interactions In Multi-User Smart Homes

Geeng, C., & Roesner, F. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionIoT-based Smart Home Systems

Cited by 195

Measuring and Reducing Gendered Correlations in Pre-trained Models

Webster, K., Wang, X., Tenney, I., Beutel, A., Pitler, E., Pavlick, E., Chen, J., Chi, E., & Petrov, S. (2020) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 195

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Yu, N., Skripniuk, V., Abdelnabi, S., & Fritz, M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 195

UniverSeg: Universal Medical Image Segmentation

Butoi, V. I., Gonzalez Ortiz, J. J., Ma, T., Sabuncu, M. R., Guttag, J., & Dalca, A. V. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 195

Explainable artificial intelligence in Alzheimer’s disease classification: a systematic review

Viswan, V., Shaffi, N., Mahmud, M., Subramanian, K., & Hajamohideen, F. (2024) · Cognitive Computation

Explainable Artificial Intelligence (XAI)Dementia and Cognitive Impairment Research

Cited by 195

Motion Transformer with Global Intention Localization and Local Movement Refinement

Shi, S., Jiang, L., Dai, D., & Schiele, B. (2022) · arXiv

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 195

Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth

Dong, Y., Cordonnier, J.-B., & Loukas, A. (2021) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 195

The measurement calculus

Danos, V., Kashefi, E., & Panangaden, P. (2007) · Journal of the ACM

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 195

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis

Zhu, W., Liu, H., Dong, Q., Xu, J., Huang, S., Kong, L., Chen, J., & Li, L. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 195