Check computer science papers: citations, claims and retractions

Learning Management System Analytics to Examine the Behavior of Students in High Enrollment STEM Courses During the Transition to Online Instruction

Elliott, R., & Luo, X. (2022) · 2022 IEEE Frontiers in Education Conference (FIE)

Online Learning and AnalyticsEducation during COVID-19 pandemic

Cited by 5

Legal Implications of Artificial Intelligence and Machine Learning Algorithms in Intellectual Property Protection: A Comparative Analysis

Kazimi, J., & Thalwal, H. (2024) · 2024 7th International Conference on Green Technology and Sustainable Development (GTSD)

Law, AI, and Intellectual PropertyDigitalization, Law, and Regulation

Cited by 5

Teaching Humans When to Defer to a Classifier via Exemplars

Mozannar, H., Satyanarayan, A., & Sontag, D. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

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

Cited by 5

Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets

Merrill, M. A., & Althoff, T. (2022) · arXiv

Time Series Analysis and ForecastingMachine Learning in Healthcare

Cited by 5

An empirical study of policy as code: adoption, purpose, and maintenance

Opdebeeck, R., Alfadel, M., Rahman, A., Kashiwa, Y., Ferreira, J. F., Kula, R. G., & De Roover, C. (2026) · Proceedings of the 23rd International Conference on Mining Software Repositories

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 5

Co-Selection of Features and Instances for Unsupervised Rare Category Analysis

He, J., & Carbonell, J. (2010) · Proceedings of the 2010 SIAM International Conference on Data Mining

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 5

Artificial subjectivity: Personal semantic memory model for cognitive agents

Munir, A.-E.-H., & Qazi, W. M. (2022) · Applied Sciences

Psychiatry, Mental Health, NeuroscienceCognitive Computing and Networks

Cited by 5

Chrominance and Luminance: a study to detect deepfakes

Talib, M. A., Nasir, Q., Nassif, A. B., Fadhl, N. B., & Gouda, O. M. (2025) · Multimedia Tools and Applications

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 5

Self-Sovereign Patient as a Cornerstone of Healthcare 4.0

Chaffer, T., Joe Littlejohn, M., Arun Nadarasa, M., & Claudia Lamschtein, M. (2025) · Blockchain in Healthcare Today

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 5

Look at Me When I Talk to You: A Video Dataset to Enable Voice Assistants to Recognize Errors

Cuadra, A., Lee, H., Cho, J., & Ju, W. (2021) · arXiv

Speech and dialogue systemsEmotion and Mood Recognition

Cited by 5

Passenger Counting in Mass Public Transport Systems using Computer Vision and Deep Learning

Moreno Rendon, W. D., Burgos Anillo, C., Jaramillo-Ramirez, D., & Carrillo, H. (2023) · IEEE Latin America Transactions

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 5

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation

Lin, Y., Ding, Y., Wu, Y., & Peng, Y. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 5

Partition Fuzzy Median Filter for Image Restoration

Rezaee, A. (2021) · Fuzzy Information and Engineering

Image and Signal Denoising MethodsAdvanced Adaptive Filtering Techniques

Cited by 5

Pathways on the Image Manifold: Image Editing via Video Generation

Rotstein, N., Yona, G., Silver, D., Velich, R., Bensaïd, D., & Kimmel, R. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 5

Frontier AI systems have surpassed the self-replicating red line

Pan, X., Dai, J., Fan, Y., & Yang, M. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

SGoLAM: Simultaneous Goal Localization and Mapping for Multi-Object Goal Navigation

Kim, J., Lee, E. S., Lee, M., Zhang, D., & Kim, Y. M. (2021) · arXiv

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 5

Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024

Chandra, N. A., Lee, H., Murtfeldt, R., Qiu, L., Karmakar, A., Tanumihardja, E., Farhat, K., Caffee, B., Lee, C., Choi, J., et al. (2025) · arXiv

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 5

User-Centered Development of Effective Web-Based Patient Education: A Case Study about Methicillin-Resistant Staphylococcus aureus

Verhoeven, F., van Gemert-Pijnen, L., & Hendrix, R. (2010) · 2010 Second International Conference on eHealth, Telemedicine, and Social Medicine

Usability and User Interface DesignHealth Literacy and Information Accessibility

Cited by 5

Are Large Language Models Capable of Generating Human-Level Narratives?

Tian, Y., Huang, T., Liu, M., Jiang, D., Spangher, A., Chen, M., May, J., & Peng, N. (2024) · arXiv

Topic ModelingArtificial Intelligence in Games

Cited by 5

Enabling robust and fluid spoken dialogue with cognitively impaired users

Yaghoubzadeh, R., & Kopp, S. (2017) · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue

Speech and dialogue systemsAssistive Technology in Communication and Mobility

Cited by 5

Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math

Zhang, S., & Xiong, D. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingMathematics Education and Pedagogy

Cited by 5

Sparse recovery of time-frequency representations via recurrent neural networks

Khalifa, Y., Zhang, Z., & Sejdic, E. (2017) · 2017 22nd International Conference on Digital Signal Processing (DSP)

Sparse and Compressive Sensing TechniquesMathematical Analysis and Transform Methods

Cited by 5

Impact of Artificial Intelligence and Machine Learning Techniques in Database Management System Components

Vijaya, J., Paul, S., & Sharma, R. (2025) · Advances in Computational Intelligence and Robotics

Advanced Database Systems and QueriesData Management and Algorithms

Cited by 5

Fault-Tolerant IoT System Using Software-Based “Digital Twin”

Baranwal, T., Varada, S., Das, S., & Haider, M. R. (2024) · 2024 IEEE 10th World Forum on Internet of Things (WF-IoT)

Distributed systems and fault toleranceFault Detection and Control Systems

Cited by 5