Check computer science papers: citations, claims and retractions

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

Wang, F., Zhang, Z., Zhang, X., Wu, Z., Mo, T., Lu, Q., Wang, W., Li, R., Xu, J., Tang, X., et al. (2025) · ACM Transactions on Intelligent Systems and Technology

Topic ModelingNatural Language Processing Techniques

Cited by 106

Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI

Ramakrishnan, S. K., Gokaslan, A., Wijmans, E., Maksymets, O., Clegg, A., Turner, J., Undersander, E., Galuba, W., Westbury, A., Chang, A. X., et al. (2021) · arXiv

3D Shape Modeling and Analysis3D Surveying and Cultural Heritage

Cited by 106

Enhancing Explainability of Neural Networks Through Architecture Constraints

Yang, Z., Zhang, A., & Sudjianto, A. (2021) · IEEE Transactions on Neural Networks and Learning Systems

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 106

Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records

Bejan, C. A., Angiolillo, J., Conway, D., Nash, R., Shirey-Rice, J. K., Lipworth, L., Cronin, R. M., Pulley, J., Kripalani, S., Barkin, S., et al. (2018) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 106

Moonshine: Distilling with Cheap Convolutions

Crowley, E. J., Gray, G., & Storkey, A. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 106

Feature-based detection of automated language models: tackling GPT-2, GPT-3 and Grover

Fröhling, L., & Zubiaga, A. (2021) · PeerJ Computer Science

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 106

Digital interface design and power: Friction, threshold, transition

Ash, J., Anderson, B., Gordon, R., & Langley, P. (2018) · Environment and Planning D: Society and Space

Innovative Human-Technology InteractionHousing, Finance, and Neoliberalism

Cited by 106

Learning high-accuracy error decoding for quantum processors

Bausch, J., Senior, A. W., Heras, F. J. H., Edlich, T., Davies, A., Newman, M., Jones, C., Satzinger, K., Niu, M. Y., Blackwell, S., et al. (2024) · Nature

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 106

Video processing techniques for traffic flow monitoring: A survey

Tian, B., Yao, Q., Gu, Y., Wang, K., & Li, Y. (2011) · 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 106

Feature Fusion for Online Mutual Knowledge Distillation

Kim, J., Hyun, M., Chung, I., & Kwak, N. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 106

Machine learning–driven language assessment

Settles, B., T. LaFlair, G., & Hagiwara, M. (2020) · Transactions of the Association for Computational Linguistics

Natural Language Processing TechniquesPsychometric Methodologies and Testing

Cited by 106

XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data

Withnell, E., Zhang, X., Sun, K., & Guo, Y. (2021) · Briefings in Bioinformatics

Explainable Artificial Intelligence (XAI)Gene expression and cancer classification

Cited by 106

Neural Architecture Search Survey: A Hardware Perspective

Chitty-Venkata, K. T., & Somani, A. K. (2023) · ACM Computing Surveys

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 106

Artificial intelligence for breast cancer screening: Opportunity or hype?

Houssami, N., Lee, C. I., Buist, D. S. M., & Tao, D. (2017) · The Breast

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 106

Explainable Active Learning (XAL): Toward AI Explanations as Interfaces for Machine Teachers

Ghai, B., Liao, Q. V., Zhang, Y., Bellamy, R., & Mueller, K. (2021) · Proceedings of the ACM on Human-Computer Interaction

Explainable Artificial Intelligence (XAI)Machine Learning and Algorithms

Cited by 106

Quantum-Inspired Machine Learning for 6G: Fundamentals, Security, Resource Allocations, Challenges, and Future Research Directions

Duong, T. Q., Ansere, J. A., Narottama, B., Sharma, V., Dobre, O. A., & Shin, H. (2022) · IEEE Open Journal of Vehicular Technology

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 106

Human Cognition Through the Lens of Social Engineering Cyberattacks

Montañez, R., Golob, E., & Xu, S. (2020) · Frontiers in Psychology

Information and Cyber SecuritySpam and Phishing Detection

Cited by 106

Dynamic Memory to Alleviate Catastrophic Forgetting in Continual Learning with Medical Imaging

Perkonigg, M., Hofmanninger, J., Herold, C. J., Brink, J. A., Pianykh, O., Prosch, H., & Langs, G. (2021) · Nature Communications

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 106

Semantic-based Automated Reasoning for AWS Access Policies using SMT

Backes, J., Bolignano, P., Cook, B., Dodge, C., Gacek, A., Luckow, K., Rungta, N., Tkachuk, O., & Varming, C. (2018) · 2018 Formal Methods in Computer Aided Design (FMCAD)

Access Control and TrustCloud Data Security Solutions

Cited by 106

BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detection

Jeong, Y., Kim, D., Min, S., Joe, S., Gwon, Y., & Choi, J. (2022) · 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 106

Measuring Association Between Labels and Free-Text Rationales

Wiegreffe, S., Marasović, A., & Smith, N. A. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 106

Deepfakes generation and detection: a short survey

Akhtar, Z. (2023) · Journal of Imaging

Digital Media Forensic DetectionFace recognition and analysis

Cited by 106

Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classification

Höhn, J., Krieghoff-Henning, E., Jutzi, T. B., von Kalle, C., Utikal, J. S., Meier, F., Gellrich, F. F., Hobelsberger, S., Hauschild, A., Schlager, J. G., et al. (2021) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 106

Algorithmic inclusion: Shaping the predictive algorithms of artificial intelligence in hiring

Kelan, E. K. (2024) · Human Resource Management Journal

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 106