Check computer science papers: citations, claims and retractions

An Intelligent Boosting and Decision-Tree-Regression-Based Score Prediction (BDTR-SP) Method in the Reform of Tertiary Education Teaching

Zhu, L., Liu, G., Lv, S., Chen, D., Chen, Z., & Li, X. (2023) · Information

Online Learning and AnalyticsEducational Technology and Pedagogy

Cited by 12

A multi-modal study into students’ timing and learning regulation: time is ticking

Tempelaar, D., Rienties, B., & Nguyen, Q. (2018) · Interactive Technology and Smart Education

Online Learning and AnalyticsInnovative Teaching and Learning Methods

Cited by 12

Speech2Video: Cross-Modal Distillation for Speech to Video Generation

Si, S., Wang, J., Qu, X., Cheng, N., Wei, W., Zhu, X., & Xiao, J. (2021) · Interspeech 2021

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 12

BioFors: A Large Biomedical Image Forensics Dataset

Sabir, E., Nandi, S., AbdAlmageed, W., & Natarajan, P. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 12

Efficacy of personalized models in discriminating high cognitive demand conditions using text-based interactions

Vizer, L. M., & Sears, A. (2017) · International Journal of Human-Computer Studies

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 12

User Experience of Alexa when controlling music: comparison of face and construct validity of four questionnaires

Brüggemeier, B., Breiter, M., Kurz, M., & Schiwy, J. (2020) · Proceedings of the 2nd Conference on Conversational User Interfaces

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 12

Memories are One-to-Many Mapping Alleviators in Talking Face Generation

Tang, A., He, T., Tan, X., Ling, J., & Song, L. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 12

Fully Scalable Randomized Benchmarking Without Motion Reversal

Hines, J., Hothem, D., Blume-Kohout, R., Whaley, B., & Proctor, T. (2024) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 12

AGILE: A Novel Reinforcement Learning Framework of LLM Agents

Feng, P., He, Y., Huang, G., Lin, Y., Zhang, H., Zhang, Y., & Li, H. (2024) · Advances in Neural Information Processing Systems 37

Reinforcement Learning in RoboticsArtificial Intelligence Applications

Cited by 12

Deep Model-Based Reinforcement Learning via Estimated Uncertainty and Conservative Policy Optimization

Zhou, Q., Li, H., & Wang, J. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 12

Vehicle Detection in UAV Traffic Video Based on Convolution Neural Network

Li, S., Zhang, W., Li, G., Su, L., & Huang, Q. (2018) · 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 12

Learning Fine-Grained Grounded Citations for Attributed Large Language Models

Huang, L., Feng, X., Ma, W., Gu, Y., Zhong, W., Feng, X., Yu, W., Peng, W., Tang, D., Tu, D., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingNatural Language Processing Techniques

Cited by 12

Considering Race a Problem of Transfer Learning

Khan, A., & Mahmoud, M. (2019) · 2019 IEEE Winter Applications of Computer Vision Workshops (WACVW)

Face recognition and analysisDomain Adaptation and Few-Shot Learning

Cited by 12

ChatHaruhi: Reviving Anime Character in Reality via Large Language Model

Li, C., Leng, Z., Yan, C., Shen, J., Wang, H., MI, W., Fei, Y., Feng, X., Yan, S., Wang, H., et al. (2023) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 12

Fair Machine Learning in Healthcare: A Review

Feng, Q., Du, M., Zou, N., & Hu, X. (2022) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 12

Mechanistic Interpretability of Emotion Inference in Large Language Models

Tak, A. N., Banayeeanzade, A., Bolourani, A., Kian, M., Jia, R., & Gratch, J. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Emotion and Mood RecognitionExplainable Artificial Intelligence (XAI)

Cited by 12

Modelling Audiological Preferences using Federated Learning

Szatmari, T.-I., Petersen, M. K., Korzepa, M. J., & Giannetsos, T. (2020) · Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization

Privacy-Preserving Technologies in DataSpeech and Audio Processing

Cited by 12

Requirements Are All You Need: The Final Frontier for End-User Software Engineering

Robinson, D., Cabrera, C., Gordon, A. D., Lawrence, N. D., & Mennen, L. (2025) · ACM Transactions on Software Engineering and Methodology

Software Engineering Techniques and PracticesSpreadsheets and End-User Computing

Cited by 12

Passwords are not enough

Matthews, T. (2012) · Computer Fraud & Security

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 12

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Clement, C., Lu, S., Liu, X., Tufano, M., Drain, D., Duan, N., Sundaresan, N., & Svyatkovskiy, A. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Software Engineering ResearchTopic Modeling

Cited by 12

CaliForest: calibrated random forest for health data

Park, Y., & Ho, J. C. (2020) · Proceedings of the ACM Conference on Health, Inference, and Learning

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 12

OWL: a large language model for IT operations

Guo, H., Yang, J., Liu, J., Yang, L., Chai, L., Bai, J., Peng, J., Hu, X., Chen, C., Zhang, D., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Relative representations enable zero-shot latent space communication

Moschella, L., Maiorca, V., Fumero, M., Norelli, A., Locatello, F., & Rodolà, E. (2022) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 12

MedDialog: Two Large-scale Medical Dialogue Datasets

He, X., Chen, S., Ju, Z., Dong, X., Fang, H., Wang, S., Yang, Y., Zeng, J., Zhang, R., Zhang, R., et al. (2020) · arXiv

Speech and dialogue systemsArtificial Intelligence in Healthcare and Education

Cited by 12