Check computer science papers: citations, claims and retractions

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Hu, S., Tu, Y., Han, X., He, C., Cui, G., Long, X., Zheng, Z., Fang, Y., Huang, Y., Zhao, W., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 28

A False Sense of Security?: Revisiting the State of Machine Learning-Based Industrial Intrusion Detection

Kus, D., Wagner, E., Pennekamp, J., Wolsing, K., Fink, I. B., Dahlmanns, M., Wehrle, K., & Henze, M. (2022) · Proceedings of the 8th ACM on Cyber-Physical System Security Workshop

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 28

Offset windowing for FIR fractional-sample delay

Cain, G. D., Yardim, A., & Henry, P. (2002) · 1995 International Conference on Acoustics, Speech, and Signal Processing

Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques

Cited by 28

Improving the ‘manager-clinician’ collaboration for effective healthcare ICT and telemedicine adoption processes – a cohered emergent perspective

Nyame-Asiamah, F. (2020) · Information Technology for Development

ICT in Developing CommunitiesElectronic Health Records Systems

Cited by 28

Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Li, M., Zhang, Y., He, S., Li, Z., Zhao, H., Wang, J., Cheng, N., & Zhou, T. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 28

On the Weaknesses of Reinforcement Learning for Neural Machine Translation

Choshen, L., Fox, L., Aizenbud, Z., & Abend, O. (2019) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 28

Out-of-Body Experience During Awake Craniotomy

Bos, E. M., Spoor, J. K. H., Smits, M., Schouten, J. W., & Vincent, A. J. P. E. (2016) · World Neurosurgery

Virtual Reality Applications and ImpactsParanormal Experiences and Beliefs

Cited by 28

The Need for AI Ethics in Higher Education

Sam, A. K., & Olbrich, P. (2023) · SpringerBriefs in Ethics

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 28

Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization

Andreasen, L. A., Feragen, A., Christensen, A. N., Thybo, J. K., Svendsen, M. B. S., Zepf, K., Lekadir, K., & Tolsgaard, M. G. (2023) · Scientific Reports

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 28

Predicting inpatient medication orders from electronic health record data

Rough, K., Dai, A. M., Zhang, K., Xue, Y., Vardoulakis, L. M., Cui, C., Butte, A. J., Howell, M. D., & Rajkomar, A. (2020) · Clinical Pharmacology & Therapeutics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 28

The Effects of Generative AI on High-Skilled Work: Evidence from Three Field Experiments with Software Developers

Cui, K. Z., Demirer, M., Jaffe, S., Musolff, L., Peng, S., & Salz, T. (2026) · Management Science

Software Engineering ResearchAI and HR Technologies

Cited by 28

Open tracing tools: Overview and critical comparison

Janes, A., Li, X., & Lenarduzzi, V. (2023) · Journal of Systems and Software

Software System Performance and ReliabilityAdvanced Software Engineering Methodologies

Cited by 28

Watch Those Words: Video Falsification Detection Using Word-Conditioned Facial Motion

Agarwal, S., Hu, L., Ng, E., Darrell, T., Li, H., & Rohrbach, A. (2023) · 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 28

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization

Gunel, B., Zhu, C., Zeng, M., & Huang, X. (2020) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 28

Network Pruning That Matters: A Case Study on Retraining Variants

Le, D. H., & Hua, B.-S. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 28

Information Forensics and Security: A quarter-century-long journey

Barni, M., Campisi, P., Delp, E. J., Doërr, G., Fridrich, J., Memon, N., Pérez-González, F., Rocha, A., Verdoliva, L., & Wu, M. (2023) · IEEE Signal Processing Magazine

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 28

Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services

Krissaane, I., De Niz, C., Gutiérrez-Sacristán, A., Korodi, G., Ede, N., Kumar, R., Lyons, J., Manrai, A., Patel, C., Kohane, I., et al. (2020) · Journal of the American Medical Informatics Association

Cloud Computing and Resource ManagementScientific Computing and Data Management

Cited by 28

Monadic encapsulation in ML

Semmelroth, M., & Sabry, A. (1999) · Proceedings of the fourth ACM SIGPLAN international conference on Functional programming

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 28

R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’

Zhang, H., Diao, S., Lin, Y., Fung, Y., Lian, Q., Wang, X., Chen, Y., Ji, H., & Zhang, T. (2024) · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 28

Free-MAD: Consensus-Free Multi-Agent Debate

Cui, Y., Fu, H., Zhang, H., Wang, L., & Zuo, C. (2026) · Findings of the Association for Computational Linguistics: ACL 2026

Multi-Agent Systems and NegotiationTopic Modeling

Cited by 28

Image Encryption Method Based on Chaotic Map

Wang, Y., Ren, G., Jiang, J., Zhang, J., & Sun, L. (2007) · 2007 2nd IEEE Conference on Industrial Electronics and Applications

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 28

Applications of Human Motion Tracking: Smart Lighting Control

Chun, S. Y., & Lee, C.-S. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops

Context-Aware Activity Recognition SystemsBuilding Energy and Comfort Optimization

Cited by 28

Trajectory Diversity for Zero-Shot Coordination

Lupu, A., Hu, H., & Foerster, J. (2021) · International Joint Conference on Autonomous Agents and Multiagent Systems

Reinforcement Learning in RoboticsGame Theory and Applications

Cited by 28

The future of 5G smart home network security is micro-segmentation

Wasicek, A. (2020) · Network Security

Cybersecurity and Information SystemsNetwork Security and Intrusion Detection

Cited by 28