Check computer science papers: citations, claims and retractions

Learner Engagement Analytics in a Hybrid Learning Environment

Naeem, U., & Bosman, L. (2023) · 2023 IEEE Global Engineering Education Conference (EDUCON)

Online Learning and AnalyticsOnline and Blended Learning

Cited by 6

The Convergence of AI/ML and DevSecOps: Revolutionizing Software Development

Pakalapati, N., Venkatasubbu, S., & Sistla, S. M. K. (2023) · Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 6

Scaling Wearable Foundation Models

Narayanswamy, G., Liu, X., Ayush, K., Yang, Y., Xu, X., Liao, S., Garrison, J., Tailor, S., Sunshine, J., Liu, Y., et al. (2024) · arXiv

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 6

OLALA: Object-Level Active Learning for Efficient Document Layout Annotation

Shen, Z., Zhao, J., Dell, M., Yu, Y., & Li, W. (2020) · arXiv

Handwritten Text Recognition TechniquesMachine Learning and Algorithms

Cited by 6

Evaluating the impact of noise on the performance of the Variational Quantum Eigensolver

Oliv, M., Matic, A., Messerer, T., & Lorenz, J. M. (2022) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 6

Pico in the Wild: Replacing Passwords, One Site at a Time

Aebischer, S., Dettoni, C., Jenkinson, G., Krol, K., Llewellyn-Jones, D., Masui, T., & Stajano, F. (2017) · Proceedings 2nd European Workshop on Usable Security

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 6

A Benchmark Dataset with Larger Context for Non-Factoid Question Answering over Islamic Text

Qamar, F., Latif, S., & Latif, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

Coding Unplugged—A Guide to Introducing Coding and Robotics to South African Schools

Greyling, J. (2023) · Transforming Entrepreneurship Education

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 6

Supporting protocol-based care in medicine via multiple coordinated views

Aigner, W., & Miksch, S. (2004) · Proceedings. Second International Conference on Coordinated and Multiple Views in Exploratory Visualization, 2004.

Data Visualization and AnalyticsElectronic Health Records Systems

Cited by 6

1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)

An, D., Wang, Z., Li, Y., Wang, Y., Hong, Y., Huang, Y., Wang, L., & Shao, J. (2022) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 6

Leveraging MDS2 and SBOM data for LLM-assisted vulnerability analysis of medical devices

Stein, S., Pilgermann, M., Weber, S., & Sedlmayr, M. (2025) · Computational and Structural Biotechnology Journal

Information and Cyber SecurityAdversarial Robustness in Machine Learning

Cited by 6

Mind Your Step (by Step): Chain-of-Thought can Reduce Performance on Tasks where Thinking Makes Humans Worse

Liu, R., Geng, J., Wu, A. J., Sucholutsky, I., Lombrozo, T., & Griffiths, T. L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6

Efficient PAC Reinforcement Learning in Regular Decision Processes

Ronca, A., & De Giacomo, G. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 6

The Future of Online Instruction, Part 2

Reisman, S. (2014) · Computer

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and E-Learning

Cited by 6

SAED: Edge-Based Intelligence for Privacy-Preserving Enterprise Search on the Cloud

Zobaed, S. M., Salehi, M. A., & Buyya, R. (2021) · 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

Privacy-Preserving Technologies in DataInformation Retrieval and Search Behavior

Cited by 6

Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy

Xie, G., Xu, H., Xu, J., Zhao, S., Li, Y., Wang, C.-D., Hu, X., & Tian, Y. (2024) · IEEE Transactions on Knowledge and Data Engineering

Privacy-Preserving Technologies in DataData Management and Algorithms

Cited by 6

Mining the Correlation between Human and Automatic Evaluation at Sentence Level

Sun, Y. (2010) · Proceedings of the Language Resources and Evaluation Conference

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 6

Methodology of risk assessment in mobile agent system design

McLean, I., Szymanski, B., & Bivens, A. (2004) · IEEE Systems, Man and Cybernetics SocietyInformation Assurance Workshop, 2003.

Mobile Agent-Based Network ManagementSecurity and Verification in Computing

Cited by 6

You Can Only Verify When You Know the Answer: Feature-Based Explanations Reduce Overreliance on AI for Easy Decisions, but Not for Hard Ones

Zhang, Z. T., Buchner, F., Liu, Y., & Butz, A. (2024) · Proceedings of Mensch und Computer 2024

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 6

Understanding and Improving Navigation Within Electronic Documents

Alexander, J. (2009) · University of Canterbury. Department of Computer Science and Software Engineering

Usability and User Interface DesignData Visualization and Analytics

Cited by 6

Helpful or Harmful? Exploring the Efficacy of Large Language Models for Online Grooming Prevention

Prosser, E., & Edwards, M. (2024) · European Interdisciplinary Cybersecurity Conference

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 6

Hardness Results for Agnostically Learning Low-Degree Polynomial Threshold Functions

Diakonikolas, I., O'Donnell, R., Servedio, R. A., & Wu, Y. (2011) · Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms

Machine Learning and AlgorithmsComplexity and Algorithms in Graphs

Cited by 6

Losses over Labels: Weakly Supervised Learning via Direct Loss Construction

Sam, D., & Kolter, J. Z. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 6

Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Zhang, Y., Khalifa, M., Logeswaran, L., Kim, J., Lee, M., Lee, H., & Wang, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 6