Check computer science papers: citations, claims and retractions

BEVT: BERT Pretraining of Video Transformers

Wang, R., Chen, D., Wu, Z., Chen, Y., Dai, X., Liu, M., Jiang, Y.-G., Zhou, L., & Yuan, L. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 234

Deepfake Detection: Current Challenges and Next Steps

Lyu, S. (2020) · 2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 234

The Trustworthy Computing Security Development Lifecycle

Lipner, S. (2005) · 20th Annual Computer Security Applications Conference

Security and Verification in ComputingWeb Application Security Vulnerabilities

Cited by 234

Toward large-scale fault-tolerant universal photonic quantum computing

Takeda, S., & Furusawa, A. (2019) · APL Photonics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 234

Interactive Image Segmentation via Backpropagating Refinement Scheme

Jang, W.-D., & Kim, C.-S. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 234

Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare

Xie, Y., Lu, L., Gao, F., He, S.-J., Zhao, H.-J., Fang, Y., Yang, J.-M., An, Y., Ye, Z.-W., & Dong, Z. (2021) · Current Medical Science

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 234

Limitations of optimization algorithms on noisy quantum devices

Franca, D. S., & Garcia-Patron, R. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 234

A systematic review of Augmented Reality content-related techniques for knowledge transfer in maintenance applications

Fernández del Amo, I., Erkoyuncu, J. A., Roy, R., Palmarini, R., & Onoufriou, D. (2018) · Computers in Industry

Augmented Reality ApplicationsInteractive and Immersive Displays

Cited by 234

Detecting Deep-Fake Videos from Phoneme-Viseme Mismatches

Agarwal, S., Farid, H., Fried, O., & Agrawala, M. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Digital Media Forensic DetectionSpeech and Audio Processing

Cited by 234

ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Lai, V. D., Ngo, N. T., Veyseh, A. P. B., Man, H., Dernoncourt, F., Bui, T., & Nguyen, T. H. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 233

Design and implementation of the LogicBlox system

Aref, M., ten Cate, B., Green, T. J., Kimelfeld, B., Olteanu, D., Pasalic, E., Veldhuizen, T. L., & Washburn, G. (2015) · Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data

Advanced Software Engineering MethodologiesAdvanced Database Systems and Queries

Cited by 233

Measuring the user experience on a large scale: user-centered metrics for web applications

Rodden, K., Hutchinson, H., & Fu, X. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 233

Effects of Sensory Information and Prior Experience on Direct Subjective Ratings of Presence

Freeman, J., Avons, S. E., Pearson, D. E., & IJsselsteijn, W. A. (1999) · Presence: Teleoperators and Virtual Environments

Virtual Reality Applications and ImpactsAdvanced Optical Imaging Technologies

Cited by 233

Time to reality check the promises of machine learning-powered precision medicine.

Wilkinson, J., Arnold, K. F., Murray, E. J., van Smeden, M., Carr, K., Sippy, R., de Kamps, M., Beam, A., Konigorski, S., Lippert, C., et al. (2020) · The Lancet Digital Health

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 233

Distributed resource allocation in blockchain-based video streaming systems with mobile edge computing

Liu, M., Yu, F. R., Teng, Y., Leung, V. C. M., & Song, M. (2019) · IEEE Transactions on Wireless Communications

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 233

Distributed maximum a posteriori estimation for multi-robot cooperative localization

Nerurkar, E. D., Roumeliotis, S. I., & Martinelli, A. (2009) · 2009 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 233

Physical Activity Classification Using the GENEA Wrist-Worn Accelerometer

ZHANG, S., ROWLANDS, A. V., MURRAY, P., & HURST, T. L. (2012) · Medicine & Science in Sports & Exercise

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 233

Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning

Yang, J., Ju, J., Guo, L., Ji, B., Shi, S., Yang, Z., Gao, S., Yuan, X., Tian, G., Liang, Y., et al. (2022) · Computational and Structural Biotechnology Journal

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 233

An Intersectional Definition of Fairness

Foulds, J. R., Islam, R., Keya, K. N., & Pan, S. (2020) · 2020 IEEE 36th International Conference on Data Engineering (ICDE)

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 233

On the Design of a Blockchain Platform for Clinical Trial and Precision Medicine

Shae, Z., & Tsai, J. J. P. (2017) · 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 233

AI generates covertly racist decisions about people based on their dialect

Hofmann, V., Kalluri, P. R., Jurafsky, D., & King, S. (2024) · Nature

Ethics and Social Impacts of AILinguistic Variation and Morphology

Cited by 233

Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction

Kim, S. S. Y., Watkins, E. A., Russakovsky, O., Fong, R., & Monroy-Hernández, A. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 233

NeST: A Neural Network Synthesis Tool Based on a Grow-and-Prune Paradigm

Dai, X., Yin, H., & Jha, N. K. (2019) · IEEE Transactions on Computers

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 233

Virtual reality for management of pain in hospitalized patients: a randomized comparative effectiveness trial

Spiegel, B., Fuller, G., Lopez, M., Dupuy, T., Noah, B., Howard, A., Albert, M., Tashjian, V., Lam, R., Ahn, J., et al. (2019) · PLOS ONE

Virtual Reality Applications and ImpactsPediatric Pain Management Techniques

Cited by 233