Check computer science papers: citations, claims and retractions

Investigating Educators’ and Students’ Perspectives on Virtual Reality Enhanced Teaching in Preschool

Rapti, S., Sapounidis, T., & Tselegkaridis, S. (2025) · Early Childhood Education Journal

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 19

MemTool: Optimizing Short-Term Memory Management for Dynamic Tool Calling in LLM Agent Multi-Turn Conversations

Lumer, E., Gulati, A., Subbiah, V. K., Basavaraju, P. H., & Burke, J. A. (2025) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 19

A systematic literature review of student engagement in software visualization: a theoretical perspective

Al-Sakkaf, A., Omar, M., & Ahmad, M. (2019) · Computer Science Education

Teaching and Learning ProgrammingVisual and Cognitive Learning Processes

Cited by 19

Defense against prompt injection attack by leveraging attack techniques

Chen, Y., Li, H., Zheng, Z., Wu, D., Song, Y., & Hooi, B. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 19

An Affective Computing in Virtual Reality Environments for Managing Surgical Pain and Anxiety

G Prabhu, V., Linder, C., Stanley, L. M., & Morgan, R. (2019) · 2019 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

Virtual Reality Applications and ImpactsPediatric Pain Management Techniques

Cited by 19

FAIR : Fairness‐aware information retrieval evaluation

Gao, R., Ge, Y., & Shah, C. (2022) · Journal of the Association for Information Science and Technology

Information Retrieval and Search BehaviorEthics and Social Impacts of AI

Cited by 19

Feedback-based self-learning in large-scale conversational AI agents

Ponnusamy, P., Ghias, A., Yi, Y., Yao, B., Guo, C., & Sarikaya, R. (2022) · AI Magazine

Speech and dialogue systemsAI in Service Interactions

Cited by 19

AutoMix: Automatically Mixing Language Models

Aggarwal, P., Madaan, A., Anand, A., Potharaju, S. P., Mishra, S., Zhou, P., Gupta, A., Rajagopal, D., Kappaganthu, K., Yang, Y., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

An Empirical Study of Mamba-based Language Models

Waleffe, R., Byeon, W., Riach, D., Norick, B., Korthikanti, V., Dao, T., Gu, A., Hatamizadeh, A., Singh, S., Narayanan, D., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 19

Leveraging large language models for the auto-remediation of microservice applications: an experimental study

Sarda, K., Namrud, Z., Litoiu, M., Shwartz, L., & Watts, I. (2024) · Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 19

Quantum algorithms for training Gaussian processes

Zhao, Z., Fitzsimons, J. K., Osborne, M. A., Roberts, S. J., & Fitzsimons, J. F. (2019) · Physical Review A

Quantum Computing Algorithms and ArchitectureGaussian Processes and Bayesian Inference

Cited by 19

DeepDRG: Performance of Artificial Intelligence Model for Real-Time Prediction of Diagnosis-Related Groups

Islam, M. M., Li, G.-H., Poly, T. N., & Li, Y.-C. (. (2021) · Healthcare

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 19

SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree

Ding, S., Qian, R., Dong, X., Zhang, P., Zang, Y., Cao, Y., Guo, Y., Lin, D., & Wang, J. (2024) · arXiv

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 19

Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective

Gabison, G. A., & Xian, R. P. (2025) · Proceedings of the 1st Workshop for Research on Agent Language Models (REALM 2025)

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 19

Using Learning Analytics to evaluate the quality of multiple-choice questions: A perspective with Classical Test Theory and Item Response Theory

Azevedo, J. M., Oliveira, E. P., & Beites, P. D. (2019) · The International Journal of Information and Learning Technology

Online Learning and AnalyticsEducational Technology and Assessment

Cited by 19

Intentionality and Conflict in The Best Laid Plans Interactive Narrative Virtual Environment

Ware, S. G., & Young, R. M. (2016) · IEEE Transactions on Computational Intelligence and AI in Games

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 19

Comparative Study on Blink Detection and Gaze Estimation Methods for HCI, in Particular, Gabor Filter Utilized Blink Detection Method

Arai, K., & Mardiyanto, R. (2011) · 2011 Eighth International Conference on Information Technology: New Generations

Gaze Tracking and Assistive TechnologyEmotion and Mood Recognition

Cited by 19

Learning Local to Global Feature Aggregation for Speech Emotion Recognition

Lu, C., Lian, H., Zheng, W., Zong, Y., Zhao, Y., & Li, S. (2023) · INTERSPEECH 2023

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 19

Replay Enactments: Exploring Possible Futures through Historical Data

Holstein, K., Harpstead, E., Gulotta, R., & Forlizzi, J. (2020) · Proceedings of the 2020 ACM Designing Interactive Systems Conference

Innovative Human-Technology InteractionDesign Education and Practice

Cited by 19

Technology acceptance and usability of a virtual reality intervention for military members and veterans with posttraumatic stress disorder: Mixed methods unified theory of acceptance and use of technology study

Jones, C., Miguel Cruz, A., Smith-MacDonald, L., Brown, M. R. G., Vermetten, E., & Brémault-Phillips, S. (2022) · JMIR Formative Research

Virtual Reality Applications and ImpactsPosttraumatic Stress Disorder Research

Cited by 19

Data Quality in Customer Relationship Management (CRM): Literature Review

Petrović, M. (2020) · Strategic Management

Data Quality and ManagementCorporate Governance and Management

Cited by 19

xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware

Barry, D., Shah, M., Keijsers, M., Khan, H., & Hopman, B. (2019) · 2019 International Conference on Image and Vision Computing New Zealand (IVCNZ)

Advanced Neural Network ApplicationsSmart Agriculture and AI

Cited by 19

Predatory Conversation Detection

Borj, P. R., & Bours, P. (2019) · 2019 International Conference on Cyber Security for Emerging Technologies (CSET)

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 19

QoE-Driven, Energy-Aware Video Adaptation in 5G Networks: The SELFNET Self-Optimisation Use Case

Nightingale, J., Wang, Q., Alcaraz Calero, J. M., Chirivella-Perez, E., Ulbricht, M., Alonso-López, J. A., Preto, R., Batista, T., Teixeira, T., Barros, M. J., et al. (2016) · International Journal of Distributed Sensor Networks

Software-Defined Networks and 5GImage and Video Quality Assessment

Cited by 19