Check computer science papers: citations, claims and retractions

Just a heartbeat away from one's body: interoceptive sensitivity predicts malleability of body-representations

Tsakiris, M., Jiménez, A. T., & Costantini, M. (2011) · Proceedings of the Royal Society B: Biological Sciences

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 528

Large-scale Simple Question Answering with Memory Networks

Bordes, A., Usunier, N., Chopra, S., & Weston, J. (2015) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 528

Computational methods in authorship attribution

Koppel, M., Schler, J., & Argamon, S. (2009) · Journal of the American Society for Information Science and Technology

Authorship Attribution and ProfilingHandwritten Text Recognition Techniques

Cited by 528

Evaluating Content Selection in Summarization: The Pyramid Method

Nenkova, A., & Passonneau, R. (2004) · Columbia University

Advanced Text Analysis TechniquesTopic Modeling

Cited by 527

Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications

Corneanu, C. A., Simon, M. O., Cohn, J. F., & Guerrero, S. E. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisEmotion and Mood Recognition

Cited by 527

Exploration by Random Network Distillation

Burda, Y., Edwards, H., Storkey, A., & Klimov, O. (2018) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 527

Understanding the Effect of Accuracy on Trust in Machine Learning Models

Yin, M., Wortman Vaughan, J., & Wallach, H. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 527

Segment Anything

Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A. C., Lo, W.-Y., et al. (2023) · arXiv

Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 527

Machine Learning Models that Remember Too Much

Song, C., Ristenpart, T., & Shmatikov, V. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 526

Realization of Quantum Walks with Negligible Decoherence in Waveguide Lattices

Perets, H. B., Lahini, Y., Pozzi, F., Sorel, M., Morandotti, R., & Silberberg, Y. (2008) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 526

Big Data Analytics, Machine Learning, and Artificial Intelligence in Next-Generation Wireless Networks

Kibria, M. G., Nguyen, K., Villardi, G. P., Zhao, O., Ishizu, K., & Kojima, F. (2018) · IEEE Access

Software-Defined Networks and 5GAdvanced Data and IoT Technologies

Cited by 526

Deep reinforcement learning in a handful of trials using probabilistic dynamics models

Chua, K., Calandra, R., McAllister, R., & Levine, S. (2018) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 525

FloatBoost learning and statistical face detection

Li, S. Z., & Zhang, Z. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Face recognition and analysisFace and Expression Recognition

Cited by 525

Deanonymisation of Clients in Bitcoin P2P Network

Biryukov, A., Khovratovich, D., & Pustogarov, I. (2014) · Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security

Internet Traffic Analysis and Secure E-votingBlockchain Technology Applications and Security

Cited by 525

THE ISPRS BENCHMARK ON URBAN OBJECT CLASSIFICATION AND 3D BUILDING RECONSTRUCTION

Rottensteiner, F., Sohn, G., Jung, J., Gerke, M., Baillard, C., Benitez, S., & Breitkopf, U. (2012) · ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Automated Road and Building Extraction3D Surveying and Cultural Heritage

Cited by 525

Global Second-Order Pooling Convolutional Networks

Gao, Z., Xie, J., Wang, Q., & Li, P. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 524

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science

Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018) · Nature Communications

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 524

MIMIC-IV

Johnson, A., Bulgarelli, L., Pollard, T., Gow, B., Moody, B., Horng, S., Celi, L. A., & Mark, R. (2024) · PhysioNet

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 524

Slave to the Algorithm? Why a 'right to an explanation' is probably not the remedy you are looking for

Edwards, L., & Veale, M. (2017)

Explainable Artificial Intelligence (XAI)Digitalization, Law, and Regulation

Cited by 524

CCNet: Criss-Cross Attention for Semantic Segmentation

Huang, Z., Wang, X., Wei, Y., Huang, L., Shi, H., Liu, W., & Huang, T. S. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 524

Seven HCI grand challenges

Stephanidis, C., Salvendy, G., Antona, M., Chen, J. Y. C., Dong, J., Duffy, V. G., Fang, X., Fidopiastis, C., Fragomeni, G., Fu, L. P., et al. (2019) · International Journal of Human–Computer Interaction

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 524

MIMIC-IV

Johnson, A., Bulgarelli, L., Pollard, T., Horng, S., Celi, L. A., & Mark, R. (2023) · PhysioNet

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 524

Deep Recurrent Neural Networks for Human Activity Recognition

Murad, A., & Pyun, J.-Y. (2017) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 524

Challenges in Data-to-Document Generation

Wiseman, S., Shieber, S., & Rush, A. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Topic ModelingMultimodal Machine Learning Applications

Cited by 524