Check computer science papers: citations, claims and retractions

Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection

Xia, T., Han, J., Ghosh, A., & Mascolo, C. (2023) · ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Privacy-Preserving Technologies in DataCOVID-19 diagnosis using AI

Cited by 14

Detecting an Insider Threat and Analysis of XGBoost using Hyperparameter tuning

Mamidanna, S. K., Reddy, C. R. K., & Gujju, A. (2022) · 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 14

An imperialist competitive algorithm for virtual machine placement in cloud computing

Jamali, S., Malektaji, S., & Analoui, M. (2017) · Journal of Experimental & Theoretical Artificial Intelligence

Cloud Computing and Resource ManagementMetaheuristic Optimization Algorithms Research

Cited by 14

The Effects of Augmented Reality in a 7th-Grade Science Lesson on Students' Academic Achievement and Motivation

Kul, H. H., & Berber, A. (2022) · Journal of Science Learning

Augmented Reality ApplicationsEducational Methods and Outcomes

Cited by 14

Segmentation and semantic labelling of RGBD data with convolutional neural networks and surface fitting

Pagnutti, G., Minto, L., & Zanuttigh, P. (2017) · IET Computer Vision

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 14

Global Software Development Challenges: A Case Study on Temporal, Geographical and Socio-Cultural Distance

Holmstrom, H., Conchuir, E., Agerfalk, P., & Fitzgerald, B. (2006) · 2006 IEEE International Conference on Global Software Engineering (ICGSE'06)

Software Engineering Techniques and PracticesOutsourcing and Supply Chain Management

Cited by 14

On Assessing the Performance of LLMs for Target-Level Sentiment Analysis in Financial News Headlines

Muhammad, I., & Rospocher, M. (2025) · Algorithms

Sentiment Analysis and Opinion MiningStock Market Forecasting Methods

Cited by 14

Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions

Wallace, E., & Boyd-Graber, J. (2018) · Proceedings of ACL 2018, Student Research Workshop

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 14

Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

Agashe, S., Wong, K., Tu, V., Yang, J., Li, A., & Wang, X. E. (2025) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 14

TOME: A Two-stage Approach for Model-based Retrieval

Ren, R., Zhao, W. X., Liu, J., Wu, H., Wen, J.-R., & Wang, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 14

ChatGPT Giving Relationship Advice – How Reliable Is It?

Hou, H., Leach, K., & Huang, Y. (2024) · Proceedings of the International AAAI Conference on Web and Social Media

Ethics and Social Impacts of AIAttachment and Relationship Dynamics

Cited by 14

Application of the performance of machine learning techniques as support in the prediction of school dropout

Jiménez-Gutiérrez, A. L., Mota-Hernández, C. I., Mezura-Montes, E., & Alvarado-Corona, R. (2024) · Scientific Reports

Online Learning and AnalyticsEducational Outcomes and Influences

Cited by 14

The role of the cerebellum in dynamic changes of the sense of body ownership: a study in patients with cerebellar degeneration

Fiorio, M., Mariotti, C., Panzeri, M., Antonello, E., Classen, J., & Tinazzi, M. (2014) · Journal of Cognitive Neuroscience

Virtual Reality Applications and ImpactsMotor Control and Adaptation

Cited by 14

Utilizing programming traces to explore and model the dimensions of novices' code‐writing skill

Zhang, Y., Paquette, L., Pinto, J. D., & Fan, A. X. (2023) · Computer Applications in Engineering Education

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 14

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition

Kwon, H., Tong, C., Haresamudram, H., Gao, Y., Abowd, G. D., Lane, N. D., & Ploetz, T. (2020) · arXiv

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 14

Scan-Based Self Anomaly Detection: Client-Side Mitigation of Channel-Based Man-in-the-Middle Attacks Against Wi-Fi

Gong, S., Ochiai, H., & Esaki, H. (2020) · 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC)

Network Security and Intrusion DetectionWireless Networks and Protocols

Cited by 14

Fine-tuning Language Models for Factuality

Tian, K., Mitchell, E., Yao, H., Manning, C. D., & Finn, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

Interpretable Unsupervised Anomaly Detection For RAN Cell Trace Analysis

Chawla, A., Jacob, P., Feghhi, S., Rughwani, D., van der Meer, S., & Fallon, S. (2020) · 2020 16th International Conference on Network and Service Management (CNSM)

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 14

Improving Language Models via Plug-and-Play Retrieval Feedback

Yu, W., Zhang, Z., Liang, Z., Jiang, M., & Sabharwal, A. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14

AgentSims: An Open-Source Sandbox for Large Language Model Evaluation

Lin, J., Zhao, H., Zhang, A., Wu, Y., Ping, H., & Chen, Q. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

Clustering of video-patches on Grassmannian manifold for facial expression recognition from 3D videos

Hayat, M., Bennamoun, M., & El-Sallam, A. A. (2013) · 2013 IEEE Workshop on Applications of Computer Vision (WACV)

Face and Expression RecognitionFace recognition and analysis

Cited by 14

Artistic User Expressions in AI-powered Creativity Support Tools

Chung, J. J. Y. (2022) · Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 14

Combination of eyetracking and computer vision for robotics control

Leroux, M., Raison, M., Adadja, T., & Achiche, S. (2015) · 2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)

Gaze Tracking and Assistive TechnologyTeleoperation and Haptic Systems

Cited by 14

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

Zhang, Q., Chen, S., Bei, Y., Yuan, Z., Zhou, H., Hong, Z., Chen, H., Xiao, Y., Zhou, C., Dong, J., et al. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14