Check computer science papers: citations, claims and retractions

Predicting need for hospital-specific interventional care after surgery using electronic health record data

van de Sande, D., van Genderen, M. E., Verhoef, C., van Bommel, J., Gommers, D., van Unen, E., Huiskens, J., & Grünhagen, D. J. (2021) · Surgery

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 15

The image blending method for face swapping

Xingjie, Z., Song, J., & Park, J.-I. (2014) · 2014 4th IEEE International Conference on Network Infrastructure and Digital Content

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 15

MLGym: A New Framework and Benchmark for Advancing AI Research Agents

Nathani, D., Madaan, L., Roberts, N., Bashlykov, N., Menon, A., Moens, V., Budhiraja, A., Magka, D., Vorotilov, V., Chaurasia, G., et al. (2025) · arXiv

Artificial Intelligence ApplicationsReinforcement Learning in Robotics

Cited by 15

Utilization and challenges of artificial intelligence in the energy sector

Park, C., & Kim, M. (2026) · Energy & Environment

Artificial Intelligence ApplicationsSmart Grid and Power Systems

Cited by 15

Including Human Factors and Ergonomics in Requirements Engineering for Digital Work Environments

Hakansson, E., & Bjarnason, E. (2020) · 2020 IEEE First International Workshop on Requirements Engineering for Well-Being, Aging, and Health (REWBAH)

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 15

SemCoder: Training Code Language Models with Comprehensive Semantics Reasoning

Ding, Y., Peng, J., Min, M. J., Kaiser, G., Yang, J., & Ray, B. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 15

Public opinions on ChatGPT: an analysis of reddit discussions by using sentiment analysis, topic modeling, and SWOT analysis

Naing, S. Z. S., & Udomwong, P. (2024) · Data Intelligence

Sentiment Analysis and Opinion MiningEthics and Social Impacts of AI

Cited by 15

Creativity Has Left the Chat: The Price of Debiasing Language Models

Mohammadi, B. (2024) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 15

Semantic Terrain Segmentation in the Navigation Vision of Planetary Rovers—A Systematic Literature Review

Kuang, B., Gu, C., Rana, Z. A., Zhao, Y., Sun, S., & Nnabuife, S. G. (2022) · Sensors

Advanced Neural Network ApplicationsRobotics and Sensor-Based Localization

Cited by 15

On the Use of Grey Literature: A Survey with the Brazilian Software Engineering Research Community

Kamei, F., Wiese, I., Pinto, G., Ribeiro, M., & Soares, S. (2020) · Proceedings of the XXXIV Brazilian Symposium on Software Engineering

Software Engineering Techniques and PracticesOptics and Image Analysis

Cited by 15

The Difficulty of Passive Learning in Deep Reinforcement Learning

Ostrovski, G., Castro, P. S., & Dabney, W. (2021) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 15

A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images

Chen, P., Chen, Y., Deng, Y., Wang, Y., He, P., Lv, X., & Yu, J. (2020) · International Journal of Computer Assisted Radiology and Surgery

Medical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 15

LASP: LLM Assisted Security Property Generation for SoC Verification

Ayalasomayajula, A., Guo, R., Zhou, J., Saha, S. K., & Farahmandi, F. (2024) · 2024 ACM/IEEE 6th Symposium on Machine Learning for CAD (MLCAD)

Formal Methods in VerificationPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 15

Local feature extraction based facial emotion recognition: a survey

Slimani, K., Kas, M., El Merabet, Y., Ruichek, Y., & Messoussi, R. (2020) · International Journal of Electrical and Computer Engineering (IJECE)

Face and Expression RecognitionEmotion and Mood Recognition

Cited by 15

Towards Faithful and Robust LLM Specialists for Evidence-Based Question-Answering

Schimanski, T., Ni, J., Kraus, M., Ash, E., & Leippold, M. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 15

AEGIS2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails

Ghosh, S., Varshney, P., Sreedhar, M. N., Padmakumar, A., Rebedea, T., Varghese, J. R., & Parisien, C. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 15

Causal Learning for Socially Responsible AI

Cheng, L., Mosallanezhad, A., Sheth, P., & Liu, H. (2021) · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 15

Pretrained Language Models for Text Generation: A Survey

Li, J., Tang, T., Zhao, W. X., & Wen, J.-R. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

The use of prototypes within agile product development explorative case study of a Makeathon

Zink, L., Hostetter, R., Bohmer, A. I., Lindemann, U., & Knoll, A. (2017) · 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC)

Software Engineering Techniques and PracticesProduct Development and Customization

Cited by 15

How Cultural Norms Influence Persuasive Design: A Study on Chinese Food Journaling Apps

Lu, X., Chen, Y., & A. Epstein, D. (2021) · Designing Interactive Systems Conference 2021

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 15

Tackling Language Modelling Bias in Support of Linguistic Diversity

Bella, G., Helm, P., Koch, G., & Giunchiglia, F. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency

Natural Language Processing TechniquesEthics and Social Impacts of AI

Cited by 15

Quantum-Assisted Joint Multi-Objective Routing and Load Balancing for Socially-Aware Networks

Alanis, D., Hu, J., Botsinis, P., Babar, Z., Ng, S. X., & Hanzo, L. (2016) · IEEE Access

Network Traffic and Congestion ControlAdvanced Multi-Objective Optimization Algorithms

Cited by 15

MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response

Deng, Z., Ma, Y., Liu, Y., Guo, R., Zhang, G., Chen, W., Huang, W., & Benetos, E. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 15

Design of a Sample-Rate Converter From CD to DAT Using Fractional Delay Allpass Filter

Cho, K.-J., Park, J.-S., Kim, B.-K., Chung, J.-G., & Parhi, K. K. (2007) · IEEE Transactions on Circuits and Systems II: Express Briefs

Digital Filter Design and ImplementationAnalog and Mixed-Signal Circuit Design

Cited by 15