Check computer science papers: citations, claims and retractions

A review of gaze entropy as a measure of visual scanning efficiency

Shiferaw, B., Downey, L., & Crewther, D. (2019) · Neuroscience & Biobehavioral Reviews

Gaze Tracking and Assistive TechnologyVisual Attention and Saliency Detection

Cited by 203

3D Convolutional Neural Networks for landing zone detection from LiDAR

Maturana, D., & Scherer, S. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsRobotics and Sensor-Based Localization

Cited by 203

Privacy-Preserving Federated Learning for Internet of Medical Things Under Edge Computing

Wang, R., Lai, J., Zhang, Z., Li, X., Vijayakumar, P., & Karuppiah, M. (2023) · IEEE Journal of Biomedical and Health Informatics

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 203

Learning to Deceive with Attention-Based Explanations

Pruthi, D., Gupta, M., Dhingra, B., Neubig, G., & Lipton, Z. C. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

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

Cited by 203

Deep learning‐based methods for individual recognition in small birds

Ferreira, A. C., Silva, L. R., Renna, F., Brandl, H. B., Renoult, J. P., Farine, D. R., Covas, R., & Doutrelant, C. (2020) · Methods in Ecology and Evolution

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 203

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

Barthélemy, J., Verstaevel, N., Forehead, H., & Perez, P. (2019) · Sensors

Video Surveillance and Tracking MethodsIoT and Edge/Fog Computing

Cited by 203

Challenges and Opportunities of Near-Term Quantum Computing Systems

Corcoles, A. D., Kandala, A., Javadi-Abhari, A., McClure, D. T., Cross, A. W., Temme, K., Nation, P. D., Steffen, M., & Gambetta, J. M. (2020) · Proceedings of the IEEE

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 203

Subsystem Fault Tolerance with the Bacon-Shor Code

Aliferis, P., & Cross, A. W. (2007) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 203

Global optimization of a neural network-hidden Markov model hybrid

Bengio, Y., De Mori, R., Flammia, G., & Kompe, R. (1992) · IEEE Transactions on Neural Networks

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 203

Larger and more instructable language models become less reliable

Zhou, L., Schellaert, W., Martínez-Plumed, F., Moros-Daval, Y., Ferri, C., & Hernández-Orallo, J. (2024) · Nature

Topic ModelingNatural Language Processing Techniques

Cited by 203

The mediating effects of needs satisfaction on the relationships between prior knowledge and self‐regulated learning through artificial intelligence chatbot

Xia, Q., Chiu, T. K. F., Chai, C. S., & Xie, K. (2023) · British Journal of Educational Technology

Intelligent Tutoring Systems and Adaptive LearningEFL/ESL Teaching and Learning

Cited by 203

Exploring Representation Learning With CNNs for Frame-to-Frame Ego-Motion Estimation

Costante, G., Mancini, M., Valigi, P., & Ciarfuglia, T. A. (2016) · IEEE Robotics and Automation Letters

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 203

A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges

Liang, J. T., Yang, C., & Myers, B. A. (2024) · Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 203

Root Mean Square Layer Normalization

Zhang, B., & Sennrich, R. (2019) · Curran Associates

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 203

TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation

Yin, P., & Neubig, G. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 203

Artificial intelligence for human flourishing – Beyond principles for machine learning

Stahl, B. C., Andreou, A., Brey, P., Hatzakis, T., Kirichenko, A., Macnish, K., Laulhé Shaelou, S., Patel, A., Ryan, M., & Wright, D. (2021) · Journal of Business Research

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 203

Loss Tolerance in One-Way Quantum Computation via Counterfactual Error Correction

Varnava, M., Browne, D. E., & Rudolph, T. (2006) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 203

The role of the user within the medical device design and development process: medical device manufacturers' perspectives

Money, A. G., Barnett, J., Kuljis, J., Craven, M. P., Martin, J. L., & Young, T. (2011) · BMC Medical Informatics and Decision Making

Usability and User Interface DesignMental Health and Patient Involvement

Cited by 203

EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain

Zhang, W., Cai, M., Zhang, T., Zhuang, Y., & Mao, X. (2024) · arXiv

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 203

“I think this is the most disruptive technology”: exploring sentiments of ChatGPT early adopters using twitter data

Haque, M. U., Dharmadasa, I., Sworna, Z. T., Rajapakse, R. N., & Ahmad, H. (2022) · arXiv

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 203

Deformation transfer for triangle meshes

Sumner, R. W., & Popović, J. (2004) · ACM SIGGRAPH 2004 Papers

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 203

Performance Modeling of Hyperledger Fabric (Permissioned Blockchain Network)

Sukhwani, H., Wang, N., Trivedi, K. S., & Rindos, A. (2018) · 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA)

Blockchain Technology Applications and SecurityDistributed systems and fault tolerance

Cited by 203

Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection

Tan, C., Zhao, Y., Wei, S., Gu, G., & Wei, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 203

Common and distinct brain regions processing multisensory bodily signals for peripersonal space and body ownership

Grivaz, P., Blanke, O., & Serino, A. (2017) · NeuroImage

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 203