Check computer science papers: citations, claims and retractions

Automated scoring in intelligent tutoring systems

Mislevy, R. J., Yan, D., Gobert, J., & Pedro, M. S. (2020) · Handbook of Automated Scoring

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and Assessment

Cited by 26

Evaluating the evaluations of code recommender systems: a reality check

Proksch, S., Amann, S., Nadi, S., & Mezini, M. (2016) · Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering

Software Engineering ResearchRecommender Systems and Techniques

Cited by 26

Evaluating Student Learning from Collaborative Group Tests in Introductory Computing

Cao, Y., & Porter, L. (2017) · Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingInnovative Teaching and Learning Methods

Cited by 26

User-Centered/User Experience Uc/Ux Design Thinking Approach for Designing a University Information Management System

Alao, O. D., Priscilla, E. A., Amanze, R. C., Kuyoro, S. O., & Adebayo, A. O. (2022) · Ingénierie des systèmes d information

Usability and User Interface DesignPersona Design and Applications

Cited by 26

Summary of NIST SP 800-53 Revision 4, Security and Privacy Controls for Federal Information Systems and Organizations

Dempsey, K., Witte, G., & Rike, D. (2014)

Information and Cyber SecurityPrivacy, Security, and Data Protection

Cited by 26

A speech scrambler using the fast Fourier transform technique

Sakurai, K., Koga, K., & Muratani, T. (1984) · IEEE Journal on Selected Areas in Communications

Digital Filter Design and ImplementationSpeech and Audio Processing

Cited by 26

Edge computing in IoT: A 6G perspective

Ishtiaq, M., Saeed, N., & Khan, M. A. (2021)

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 26

Evaluating the Efficiency of Voice Control as Human Machine Interface in Production

Norda, M., Engel, C., Rennies, J., Appell, J.-E., Lange, S. C., & Hahn, A. (2024) · IEEE Transactions on Automation Science and Engineering

Usability and User Interface DesignSpeech and dialogue systems

Cited by 26

What is Blockchain Accounting? A Critical Examination in Relation to Organizing, Governance, and Trust

Pflueger, D., Kornberger, M., & Mouritsen, J. (2022) · European Accounting Review

Blockchain Technology Applications and SecurityAccounting and Organizational Management

Cited by 26

When, how and for whom changes in engagement happen: A transition analysis of instructional variables

Saqr, M., López-Pernas, S., & Vogelsmeier, L. V. D. E. (2023) · Computers & Education

Online Learning and AnalyticsOnline and Blended Learning

Cited by 26

Comparing Traditional and LLM-based Search for Consumer Choice: A Randomized Experiment

Spatharioti, S. E., Rothschild, D. M., Goldstein, D. G., & Hofman, J. M. (2023) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 26

When Prototyping Meets Storytelling: Practices and Malpractices in Innovating Software Firms

Ciriello, R. F., Richter, A., & Schwabe, G. (2017) · 2017 IEEE/ACM 39th International Conference on Software Engineering: Software Engineering in Practice Track (ICSE-SEIP)

Software Engineering Techniques and PracticesInformation Systems Theories and Implementation

Cited by 26

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval

Tang, H., Sun, X., Jin, B., Wang, J., Zhang, F., & Wu, W. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 26

Critical issues in designing and implementing temporal analytics.

Chen, B., Knight, S., & Wise, A. (2018) · Journal of Learning Analytics

Online Learning and AnalyticsData Visualization and Analytics

Cited by 26

A review of Quantum Neural Networks: Methods, Models, Dilemma

Zhao, R., & Wang, S. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureNeural Networks and Applications

Cited by 26

Deep Learning Is Singular, and That’s Good

Wei, S., Murfet, D., Gong, M., Li, H., Gell-Redman, J., & Quella, T. (2023) · IEEE Transactions on Neural Networks and Learning Systems

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 26

Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Yoran, O., Wolfson, T., Ram, O., & Berant, J. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 26

Learning to Ground Multi-Agent Communication with Autoencoders

Lin, T., Huh, M., Stauffer, C., Lim, S.-N., & Isola, P. (2021) · arXiv

Multi-Agent Systems and NegotiationReinforcement Learning in Robotics

Cited by 26

The Future of HCI and Sustainability: Championing Environmental and Social Justice.

Bates, O., Thomas, V., Remy, C., Nathan, L. P., Mann, S., & Friday, A. (2018) · Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionGreen IT and Sustainability

Cited by 26

High-throughput phenotyping with temporal sequences

Estiri, H., Strasser, Z. H., & Murphy, S. N. (2021) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 26

A convex optimization based approach for pose SLAM problems

Liu, M., Huang, S., Dissanayake, G., & Wang, H. (2012) · 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 26

An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures

Singla, T., Anandayuvaraj, D., Kalu, K. G., Schorlemmer, T. R., & Davis, J. C. (2023) · Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research and Ecosystem Defenses

Information and Cyber SecuritySoftware Engineering Research

Cited by 26

Split and Merge: Aligning Position Biases in LLM-based Evaluators

Li, Z., Wang, C., Ma, P., Wu, D., Wang, S., Gao, C., & Liu, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26

Forensic Facial Comparison: Current Status, Limitations, and Future Directions

Bacci, N., Davimes, J. G., Steyn, M., & Briers, N. (2021) · Biology

Face recognition and analysisFace Recognition and Perception

Cited by 26