Check computer science papers: citations, claims and retractions

Efficient Streaming Language Models with Attention Sinks

Xiao, G., Tian, Y., Chen, B., Han, S., & Lewis, M. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 55

Modeling Uncertainty with Hedged Instance Embedding

Oh, S. J., Murphy, K., Pan, J., Roth, J., Schroff, F., & Gallagher, A. (2018) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 55

Locate and Verify: A Two-Stream Network for Improved Deepfake Detection

Shuai, C., Zhong, J., Wu, S., Lin, F., Wang, Z., Ba, Z., Liu, Z., Cavallaro, L., & Ren, K. (2023) · Proceedings of the 31st ACM International Conference on Multimedia

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 55

Session-based cyberbullying detection in social media: A survey

Yi, P., & Zubiaga, A. (2023) · Online Social Networks and Media

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 55

Using echo state networks for classification: A case study in Parkinson's disease diagnosis

Lacy, S. E., Smith, S. L., & Lones, M. A. (2018) · Artificial Intelligence in Medicine

Neural Networks and Reservoir ComputingMachine Learning and ELM

Cited by 55

Imagining Replications: Graphical Prediction & Discrete Visualizations Improve Recall & Estimation of Effect Uncertainty

Hullman, J., Kay, M., Kim, Y.-S., & Shrestha, S. (2018) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 55

Learning to map 2D ultrasound images into 3D space with minimal human annotation

Yeung, P.-H., Aliasi, M., Papageorghiou, A. T., Haak, M., Xie, W., & Namburete, A. I. L. (2021) · Medical Image Analysis

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 55

Chasing Ghosts: Instruction Following as Bayesian State Tracking

Anderson, P., Shrivastava, A., Parikh, D., Batra, D., & Lee, S. (2019) · arXiv

Reinforcement Learning in RoboticsMultimodal Machine Learning Applications

Cited by 55

Deidentification of free-text medical records using pre-trained bidirectional transformers

Johnson, A. E. W., Bulgarelli, L., & Pollard, T. J. (2020) · Proceedings of the ACM Conference on Health, Inference, and Learning

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 55

The Good and Bad of AI Tools in Novice Programming Education

Zviel-Girshin, R. (2024) · Education Sciences

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 55

Increasing adoption rates at animal shelters: a two-phase approach to predict length of stay and optimal shelter allocation

Bradley, J., & Rajendran, S. (2021) · BMC Veterinary Research

Data Mining and Machine Learning ApplicationsAnimal Law and Welfare

Cited by 55

Multi-scale Features for Detection and Segmentation of Rocks in Mars Images

Dunlop, H., Thompson, D. R., & Wettergreen, D. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 55

The Effects of Viewing an Uplifting 360-Degree Video on Emotional Well-Being Among Elderly Adults and College Students Under Immersive Virtual Reality and Smartphone Conditions

Liu, Q., Wang, Y., Yao, M. Z., Tang, Q., & Yang, Y. (2020) · Cyberpsychology, Behavior, and Social Networking

Virtual Reality Applications and ImpactsTechnology Use by Older Adults

Cited by 55

Farsight: Fostering Responsible AI Awareness During AI Application Prototyping

Wang, Z. J., Kulkarni, C., Wilcox, L., Terry, M., & Madaio, M. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 55

Development and multimodal validation of a substance misuse algorithm for referral to treatment using artificial intelligence (SMART-AI): A retrospective deep learning study

Afshar, M., Sharma, B., Dligach, D., Oguss, M., Brown, R., Chhabra, N., Thompson, H. M., Markossian, T., Joyce, C., Churpek, M. M., et al. (2022) · The Lancet Digital Health

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 55

A Novel Image Encryption Algorithm Based on a Fractional-Order Hyperchaotic System and DNA Computing

Li, T., Yang, M., Wu, J., & Jing, X. (2017) · Complexity

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 55

Cryptocurrencies as market singularities: the strange case of Bitcoin

Dallyn, S. (2017) · Journal of Cultural Economy

Blockchain Technology Applications and SecurityEconomic Theory and Institutions

Cited by 55

Cyberbullying Identification System Based Deep Learning Algorithms

Aldhyani, T. H. H., Al-Adhaileh, M. H., & Alsubari, S. N. (2022) · Electronics

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 55

Natural Language Processing Model for Automatic Analysis of Cybersecurity-Related Documents

Georgescu, T.-M. (2020) · Symmetry

Topic ModelingNatural Language Processing Techniques

Cited by 55

A systematic review on the deployment and effectiveness of data analytics in higher education to improve student outcomes

Foster, C., & Francis, P. (2020) · Assessment & Evaluation in Higher Education

Online Learning and AnalyticsBig Data and Business Intelligence

Cited by 55

Large language models display human-like social desirability biases in Big Five personality surveys

Salecha, A., Ireland, M. E., Subrahmanya, S., Sedoc, J., Ungar, L. H., & Eichstaedt, J. C. (2024) · PNAS Nexus

Ethics and Social Impacts of AIPersonality Traits and Psychology

Cited by 55

Algorithm Auditing: Managing the Legal, Ethical, and Technological Risks of Artificial Intelligence, Machine Learning, and Associated Algorithms

Koshiyama, A., Kazim, E., & Treleaven, P. (2022) · Computer

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 55

Exploiting Image Generality for Lexical Entailment Detection

Kiela, D., Rimell, L., Vulić, I., & Clark, S. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 55

Deepfakes, Deep Harms

Rini, R., & Cohen, L. (2022) · Journal of Ethics and Social Philosophy

Ethics and Social Impacts of AIMisinformation and Its Impacts

Cited by 55