Check computer science papers: citations, claims and retractions

Enhancing collaborative creativity with virtual dynamic personas

Bonnardel, N., & Pichot, N. (2020) · Applied Ergonomics

Persona Design and ApplicationsDesign Education and Practice

Cited by 54

Edge artificial intelligence for industrial internet of things applications: an industrial edge intelligence solution

Foukalas, F., & Tziouvaras, A. (2021) · IEEE Industrial Electronics Magazine

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 54

Privacy-Preserving Federated Transfer Learning for Driver Drowsiness Detection

Zhang, L., Saito, H., Yang, L., & Wu, J. (2022) · IEEE Access

Privacy-Preserving Technologies in DataSleep and Work-Related Fatigue

Cited by 54

DNN-based Emotion Recognition Based on Bottleneck Acoustic Features and Lexical Features

Kim, E., & Shin, J. W. (2019) · ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 54

Successful students' strategies for getting unstuck

McCartney, R., Eckerdal, A., Mostrom, J. E., Sanders, K., & Zander, C. (2007) · Proceedings of the 12th annual SIGCSE conference on Innovation and technology in computer science education

Teaching and Learning ProgrammingInnovative Teaching and Learning Methods

Cited by 54

Synergies of Learning Analytics and Learning Design: A Systematic Review of Student Outcomes

Blumenstein, M. (2020) · Journal of Learning Analytics

Online Learning and AnalyticsEvaluation of Teaching Practices

Cited by 54

What’s in a Badge? A Computational Reproducibility Investigation of the Open Data Badge Policy in One Issue of Psychological Science

Crüwell, S., Apthorp, D., Baker, B. J., Colling, L., Elson, M., Geiger, S. J., Lobentanzer, S., Monéger, J., Patterson, A., Schwarzkopf, D. S., et al. (2023) · Psychological Science

Research Data Management PracticesScientific Computing and Data Management

Cited by 54

A manifesto for data sharing in social media research

Weller, K., & Kinder-Kurlanda, K. E. (2016) · Proceedings of the 8th ACM Conference on Web Science

Research Data Management PracticesData Analysis and Archiving

Cited by 54

Ten Reasons for IT Educators to be Early Adopters of IT Innovations

Gillard, S., Bailey, D., & Nolan, E. (2008) · Journal of Information Technology Education: Research

Information Systems Education and Curriculum DevelopmentEducational Technology and E-Learning

Cited by 54

Toy story or children story? Putting children and their rights at the forefront of the artificial intelligence revolution

Fosch-Villaronga, E., van der Hof, S., Lutz, C., & Tamò-Larrieux, A. (2023) · AI & SOCIETY

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 54

Blockchains for Artificial Intelligence of Things: A Comprehensive Survey

Shen, M., Gu, A., Kang, J., Tang, X., Lin, X., Zhu, L., & Niyato, D. (2023) · IEEE Internet of Things Journal

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 54

Variational quantum algorithm for nonequilibrium steady states

Yoshioka, N., Nakagawa, Y. O., Mitarai, K., & Fujii, K. (2020) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 54

TDOA Matrices: Algebraic Properties and Their Application to Robust Denoising With Missing Data

Velasco, J., Pizarro, D., Macias-Guarasa, J., & Asaei, A. (2016) · IEEE Transactions on Signal Processing

Direction-of-Arrival Estimation TechniquesIndoor and Outdoor Localization Technologies

Cited by 54

Semantic octree: Unifying recognition, reconstruction and representation via an octree constrained higher order MRF

Sengupta, S., & Sturgess, P. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 54

Instructor Perceptions of AI Code Generation Tools - A Multi-Institutional Interview Study

Sheard, J., Denny, P., Hellas, A., Leinonen, J., Malmi, L., & Simon (2024) · Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 54

Limitations of Linear Cross-Entropy as a Measure for Quantum Advantage

Gao, X., Kalinowski, M., Chou, C.-N., Lukin, M. D., Barak, B., & Choi, S. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 54

Grey-box Adversarial Attack And Defence For Sentiment Classification

Xu, Y., Zhong, X., Jimeno Yepes, A., & Lau, J. H. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Adversarial Robustness in Machine LearningHate Speech and Cyberbullying Detection

Cited by 54

‘The surface management system’ (SuMS) database: a surface–based database to aid cortical surface reconstruction, visualization and analysis

Dickson, J., Drury, H., & Van Essen, D. C. (2001) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences

Research Data Management PracticesScientific Computing and Data Management

Cited by 54

Behavioral Use Licensing for Responsible AI

Contractor, D., McDuff, D., Haines, J. K., Lee, J., Hines, C., Hecht, B., Vincent, N., & Li, H. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 54

SAFELearning: Secure Aggregation in Federated Learning With Backdoor Detectability

Zhang, Z., Li, J., Yu, S., & Makaya, C. (2023) · IEEE Transactions on Information Forensics and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 54

Math Education with Large Language Models: Peril or Promise?

Kumar, H., Rothschild, D. M., Goldstein, D. G., & Hofman, J. (2023) · Lecture notes in computer science

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 54

Corrections of the NIST Statistical Test Suite for Randomness

Kim, S.-J., Umeno, K., & Hasegawa, A. (2004) · arXiv

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 54

Universal Neutral-Atom Quantum Computer with Individual Optical Addressing and Nondestructive Readout

Radnaev, A. G., Chung, W. C., Cole, D. C., Mason, D., Ballance, T. G., Bedalov, M. J., Belknap, D. A., Berman, M. R., Blakely, M., Bloomfield, I. L., et al. (2025) · PRX Quantum

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 54

A video forensic framework for the unsupervised analysis of MP4-like file container

Iuliani, M., Shullani, D., Fontani, M., Meucci, S., & Piva, A. (2019) · IEEE Transactions on Information Forensics and Security

Digital Media Forensic DetectionDigital and Cyber Forensics

Cited by 54