Check computer science papers: citations, claims and retractions

Audio Deepfake Detection: A Survey

Yi, J., Wang, C., Tao, J., Zhang, X., Zhang, C. Y., & Zhao, Y. (2023) · arXiv

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 40

Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development

Hopkins, A., & Booth, S. (2021) · Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 40

A network analysis of the non-fungible token (NFT) market: Structural characteristics, evolution, and interactions

Alizadeh, S., Setayesh, A., Mohamadpour, A., & Bahrak, B. (2023) · Applied Network Science

Blockchain Technology Applications and SecurityComplex Network Analysis Techniques

Cited by 40

A Data Driven Approach for Compound Figure Separation Using Convolutional Neural Networks

Tsutsui, S., & Crandall, D. J. (2017) · 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)

Handwritten Text Recognition TechniquesAdvanced Neural Network Applications

Cited by 40

Toward Agentic AI: Generative Information Retrieval Inspired Intelligent Communications and Networking

Zhang, R., Tang, S., Liu, Y., Niyato, D., Xiong, Z., Sun, S., Mao, S., & Han, Z. (2025) · arXiv

Information Retrieval and Search BehaviorSoftware-Defined Networks and 5G

Cited by 40

Adversarial Multi-view Networks for Activity Recognition

Bai, L., Yao, L., Wang, X., Kanhere, S. S., Guo, B., & Yu, Z. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 40

Contextualized medication information extraction using Transformer-based deep learning architectures

Chen, A., Yu, Z., Yang, X., Guo, Y., Bian, J., & Wu, Y. (2023) · Journal of Biomedical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 40

Abduction-Based Explanations for Machine Learning Models

Ignatiev, A., Narodytska, N., & Marques-Silva, J. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Logic, Reasoning, and Knowledge

Cited by 40

Fully Automated 3-D Ultrasound Segmentation of the Placenta, Amniotic Fluid, and Fetus for Early Pregnancy Assessment

Looney, P., Yin, Y., Collins, S. L., Nicolaides, K. H., Plasencia, W., Molloholli, M., Natsis, S., & Stevenson, G. N. (2021) · IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 40

How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study

Gu, K., Grunde-McLaughlin, M., McNutt, A., Heer, J., & Althoff, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsSoftware Engineering Research

Cited by 40

Going Outside While Staying Inside — Exercise Motivation with Immersive vs. Non–immersive Recreational Virtual Environment Augmentation for Older Adult Nursing Home Residents

Bruun-Pedersen, J. R., Serafin, S., & Kofoed, L. B. (2016) · 2016 IEEE International Conference on Healthcare Informatics (ICHI)

Virtual Reality Applications and ImpactsTechnology Use by Older Adults

Cited by 40

Generative AI in depth: A survey of recent advances, model variants, and real-world applications

Yazdani, S., Singh, A., Saxena, N., Wang, Z., Palikhe, A., Pan, D., Pal, U., Yang, J., & Zhang, W. (2025) · Journal of Big Data

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 40

Self-Supervised and Controlled Multi-Document Opinion Summarization

Elsahar, H., Coavoux, M., Gallé, M., & Rozen, J. (2020) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 40

Compact Deep Invariant Descriptors for Video Retrieval

Lou, Y., Bai, Y., Lin, J., Wang, S., Chen, J., Chandrasekhar, V., Duan, L.-Y., Huang, T., Kot, A. C., & Gao, W. (2017) · 2017 Data Compression Conference (DCC)

Video Analysis and SummarizationImage Retrieval and Classification Techniques

Cited by 40

Enrico: A dataset for topic modeling of mobile ui designs

Leiva, L. A., Hota, A., & Oulasvirta, A. (2020) · 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services

Usability and User Interface DesignData Visualization and Analytics

Cited by 40

Ferret-UI: Grounded Mobile UI Understanding with Multimodal LLMs

You, K., Zhang, H., Schoop, E., Weers, F., Swearngin, A., Nichols, J., Yang, Y., & Gan, Z. (2024) · arXiv

Multimodal Machine Learning ApplicationsUsability and User Interface Design

Cited by 40

Data work in context: Value, risks, and governance

Foster, J., McLeod, J., Nolin, J., & Greifeneder, E. (2018) · Journal of the Association for Information Science and Technology

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 40

Reinforced Dynamic Reasoning for Conversational Question Generation

Pan, B., Li, H., Yao, Z., Cai, D., & Sun, H. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingSpeech and dialogue systems

Cited by 40

Joint Audio-Visual Attention with Contrastive Learning for More General Deepfake Detection

Zhang, Y., Lin, W., & Xu, J. (2024) · ACM Transactions on Multimedia Computing, Communications, and Applications

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 40

ECG biometric recognition using SVM‐based approach

Rezgui, D., & Lachiri, Z. (2016) · IEEJ Transactions on Electrical and Electronic Engineering

Biometric Identification and SecurityECG Monitoring and Analysis

Cited by 40

Activity classification in persons with stroke based on frequency features

Laudanski, A., Brouwer, B., & Li, Q. (2015) · Medical Engineering & Physics

Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery

Cited by 40

Repeated Inverse Reinforcement Learning

Amin, K., Jiang, N., & Singh, S. (2017) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 40

Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents

Sandini, G., Sciutti, A., & Morasso, P. (2024) · Frontiers in Computational Neuroscience

Psychiatry, Mental Health, NeuroscienceSocial Robot Interaction and HRI

Cited by 40

Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation

Moramarco, F., Papadopoulos Korfiatis, A., Perera, M., Juric, D., Flann, J., Reiter, E., Belz, A., & Savkov, A. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 40