Check computer science papers: citations, claims and retractions

On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection

Lai, V., & Tan, C. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency

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

Cited by 377

Count-Based Exploration with Neural Density Models

Ostrovski, G., Bellemare, M. G., Oord, A. V. D., & Munos, R. (2017) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 377

Unified Inverse Depth Parametrization for Monocular SLAM

Montiel, J., Civera, J., & Davison, A. (2006) · Robotics: Science and Systems II

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 377

Automated psychological therapy using immersive virtual reality for treatment of fear of heights: A single-blind, parallel-group, randomised controlled trial

Freeman, D., Haselton, P., Freeman, J., Spanlang, B., Kishore, S., Albery, E., Denne, M., Brown, P., Slater, M., & Nickless, A. (2018) · The Lancet Psychiatry

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 377

All in One Bad Weather Removal Using Architectural Search

Li, R., Tan, R. T., & Cheong, L.-F. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Image Enhancement TechniquesAdvanced Image Processing Techniques

Cited by 377

Bayesian Regularization and Pruning Using a Laplace Prior

Williams, P. M. (1995) · Neural Computation

Neural Networks and ApplicationsGaussian Processes and Bayesian Inference

Cited by 377

Visual Language Maps for Robot Navigation

Huang, C., Mees, O., Zeng, A., & Burgard, W. (2023) · 2023 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationMultimodal Machine Learning Applications

Cited by 376

A Survey of Contrastive and Counterfactual Explanation Generation Methods for Explainable Artificial Intelligence

Stepin, I., Alonso, J. M., Catala, A., & Pereira-Farina, M. (2021) · IEEE Access

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 376

Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention

Xiong, Y., Zeng, Z., Chakraborty, R., Tan, M., Fung, G., Li, Y., & Singh, V. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 376

Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System

Zhang, L., Xu, J., Vijayakumar, P., Sharma, P. K., & Ghosh, U. (2023) · IEEE Transactions on Network Science and Engineering

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 376

Positive Computing: Technology for Wellbeing and Human Potential

Calvo, R. A., & Peters, D. (2014) · The MIT Press eBooks

Innovative Human-Technology InteractionDigital Mental Health Interventions

Cited by 376

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis

Zhu, G., Du, Y., Gunduz, D., & Huang, K. (2021) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 376

Class-Incremental Learning: A Survey

Zhou, D.-W., Wang, Q.-W., Qi, Z.-H., Ye, H.-J., Zhan, D.-C., & Liu, Z. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 376

Machine Learning, Social Learning and the Governance of Self-Driving Cars

Stilgoe, J. (2017) · Social Studies of Science

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 376

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

Xia, W., Yang, Y., Xue, J.-H., & Wu, B. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 376

Generative Adversarial Networks: A Survey Toward Private and Secure Applications

Cai, Z., Xiong, Z., Xu, H., Wang, P., Li, W., & Pan, Y. (2022) · ACM Computing Surveys

Generative Adversarial Networks and Image SynthesisPrivacy-Preserving Technologies in Data

Cited by 376

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

Turaga, S. C., Murray, J. F., Jain, V., Roth, F., Helmstaedter, M., Briggman, K., Denk, W., & Seung, H. S. (2010) · Neural Computation

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 376

Automatically profiling the author of an anonymous text

Argamon, S., Koppel, M., Pennebaker, J. W., & Schler, J. (2009) · Communications of the ACM

Authorship Attribution and ProfilingMental Health via Writing

Cited by 376

Data Augmentation for Deep Neural Network Acoustic Modeling

Cui, X., Goel, V., & Kingsbury, B. (2015) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 376

Blockchain applications–Usage in different domains

Abou Jaoude, J., & George Saade, R. (2019) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 376

Internal statistics of a single natural image

Zontak, M., & Irani, M. (2011) · CVPR 2011

Image and Signal Denoising MethodsImage Retrieval and Classification Techniques

Cited by 375

Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers—A study to show how popularity is affecting accuracy in social media

Chakraborty, K., Bhatia, S., Bhattacharyya, S., Platos, J., Bag, R., & Hassanien, A. E. (2020) · Applied Soft Computing

Sentiment Analysis and Opinion MiningCommunication and COVID-19 Impact

Cited by 375

Breaking the filter bubble: democracy and design

Bozdag, E., & van den Hoven, J. (2015) · Ethics and Information Technology

Ethics and Social Impacts of AISocial Media and Politics

Cited by 375

First I "like" it, then I hide it: Folk Theories of Social Feeds

Eslami, M., Karahalios, K., Sandvig, C., Vaccaro, K., Rickman, A., Hamilton, K., & Kirlik, A. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionRecommender Systems and Techniques

Cited by 375