Check computer science papers: citations, claims and retractions

Grounding Interactive Machine Learning Tool Design in How Non-Experts Actually Build Models

Yang, Q., Suh, J., Chen, N.-C., & Ramos, G. (2018) · Proceedings of the 2018 Designing Interactive Systems Conference

Spreadsheets and End-User ComputingData Visualization and Analytics

Cited by 156

Exploiting uncertainty in regression forests for accurate camera relocalization

Valentin, J., Niebner, M., Shotton, J., Fitzgibbon, A., Izadi, S., & Torr, P. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 156

Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks

Liu, Y., Li, Q., & Sun, Z. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 156

Automatic Detection of Machine Generated Text: A Critical Survey

Jawahar, G., Abdul-Mageed, M., & Lakshmanan, V. S. (2020) · Proceedings of the 28th International Conference on Computational Linguistics

Authorship Attribution and ProfilingSpam and Phishing Detection

Cited by 156

TransModality: An End2End Fusion Method with Transformer for Multimodal Sentiment Analysis

Wang, Z., Wan, Z., & Wan, X. (2020) · Proceedings of The Web Conference 2020

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 156

Face Forensics in the Wild

Zhou, T., Wang, W., Liang, Z., & Shen, J. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 156

Tanagra: Reactive Planning and Constraint Solving for Mixed-Initiative Level Design

Smith, G., Whitehead, J., & Mateas, M. (2011) · IEEE Transactions on Computational Intelligence and AI in Games

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 156

3DSAM-adapter: Holistic adaptation of SAM from 2D to 3D for promptable tumor segmentation

Gong, S., Zhong, Y., Ma, W., Li, J., Wang, Z., Zhang, J., Heng, P.-A., & Dou, Q. (2024) · Medical Image Analysis

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 156

PCGRL: Procedural Content Generation via Reinforcement Learning

Khalifa, A., Bontrager, P., Earle, S., & Togelius, J. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 156

Effectiveness of virtual reality exposure in the treatment of arachnophobia using 3D games

Bouchard, S., Côté, S., St-Jacques, J., Robillard, G., & Renaud, P. (2006) · Technology and Health Care

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 156

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Li, Y., Mamouei, M., Salimi-Khorshidi, G., Rao, S., Hassaine, A., Canoy, D., Lukasiewicz, T., & Rahimi, K. (2023) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 156

Data Sharing Statements for Clinical Trials — A Requirement of the International Committee of Medical Journal Editors

Taichman, D. B., Sahni, P., Pinborg, A., Peiperl, L., Laine, C., James, A., Hong, S.-T., Haileamlak, A., Gollogly, L., Godlee, F., et al. (2017) · New England Journal of Medicine

Research Data Management PracticesEthics in Clinical Research

Cited by 156

Timely and Continuous Machine-Learning-Based Classification for Interactive IP Traffic

Nguyen, T. T. T., Armitage, G., Branch, P., & Zander, S. (2012) · IEEE/ACM Transactions on Networking

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 156

Context-Aware Generative Adversarial Privacy

Huang, C., Kairouz, P., Chen, X., Sankar, L., & Rajagopal, R. (2017) · Entropy

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 156

The design and evaluation of prototype eco-feedback displays for fixture-level water usage data

Froehlich, J., Findlater, L., Ostergren, M., Ramanathan, S., Peterson, J., Wragg, I., Larson, E., Fu, F., Bai, M., Patel, S., et al. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionPro-Environmental Behavior and Attitudes

Cited by 156

Towards an Agile Approach to Adapting Dynamic Collaboration Support to Student Needs

Adamson, D., Dyke, G., Jang, H., & Rosé, C. P. (2014) · International Journal of Artificial Intelligence in Education

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 156

Adaptive estimation of time delays in sampled data systems

Etter, D., & Stearns, S. (1981) · IEEE Transactions on Acoustics, Speech, and Signal Processing

Advanced Adaptive Filtering TechniquesControl Systems and Identification

Cited by 156

Exploring Fusion Methods for Multimodal Emotion Recognition with Missing Data

Wagner, J., Andre, E., Lingenfelser, F., & Kim, J. (2011) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 156

VideoGPT: Video Generation using VQ-VAE and Transformers

Yan, W., Zhang, Y., Abbeel, P., & Srinivas, A. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 156

Soft Proposal Networks for Weakly Supervised Object Localization

Zhu, Y., Zhou, Y., Ye, Q., Qiu, Q., & Jiao, J. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 156

A survey on deep transfer learning to edge computing for mitigating the COVID-19 pandemic

Sufian, A., Ghosh, A., Sadiq, A. S., & Smarandache, F. (2020) · Journal of Systems Architecture

IoT and Edge/Fog ComputingCOVID-19 diagnosis using AI

Cited by 156

Applying generative AI with retrieval augmented generation to summarize and extract key clinical information from electronic health records

Alkhalaf, M., Yu, P., Yin, M., & Deng, C. (2024) · Journal of Biomedical Informatics

Machine Learning in HealthcareTopic Modeling

Cited by 156

How to explain AI systems to end users: a systematic literature review and research agenda

Laato, S., Tiainen, M., Najmul Islam, A. K. M., & Mäntymäki, M. (2022) · Internet Research

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 155

The Aceh Besar midwives with mobile phones project: Design and evaluation perspectives using the information and communication technologies for healthcare development model

Chib, A. (2010) · Journal of Computer-Mediated Communication

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 155