Check computer science papers: citations, claims and retractions

Managing cross-cultural issues in global software outsourcing

Krishna, S., Sahay, S., & Walsham, G. (2004) · Communications of the ACM

Software Engineering Techniques and PracticesTeam Dynamics and Performance

Cited by 542

Information Gain-based Exploration Using Rao-Blackwellized Particle Filters

Stachniss, C., Grisetti, G., & Burgard, W. (2005) · Robotics: Science and Systems I

Robotics and Sensor-Based LocalizationReinforcement Learning in Robotics

Cited by 542

Using fitness trackers and smartwatches to measure physical activity in research: analysis of consumer wrist-worn wearables

Henriksen, A., Haugen Mikalsen, M., Woldaregay, A. Z., Muzny, M., Hartvigsen, G., Hopstock, L. A., & Grimsgaard, S. (2018) · Journal of Medical Internet Research

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 542

Local Learning Algorithms

Bottou, L., & Vapnik, V. (1992) · Neural Computation

Neural Networks and ApplicationsMachine Learning and ELM

Cited by 542

Quantum algorithms for supervised and unsupervised machine learning

Lloyd, S., Mohseni, M., & Rebentrost, P. (2013) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 542

Deep Learning for Case-Based Reasoning Through Prototypes: A Neural Network That Explains Its Predictions

Li, O., Liu, H., Chen, C., & Rudin, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Neural Networks and Applications

Cited by 541

signSGD: Compressed Optimisation for Non-Convex Problems

Bernstein, J., Wang, Y.-X., Azizzadenesheli, K., & Anandkumar, A. (2018) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Data Classification

Cited by 541

State of the art of virtual reality technology

Anthes, C., Garcia-Hernandez, R. J., Wiedemann, M., & Kranzlmuller, D. (2016) · 2016 IEEE Aerospace Conference

Virtual Reality Applications and ImpactsAdvanced Optical Imaging Technologies

Cited by 541

Interpretability of machine learning-based prediction models in healthcare

Stiglic, G., Kocbek, P., Fijacko, N., Zitnik, M., Verbert, K., & Cilar, L. (2020) · WIREs Data Mining and Knowledge Discovery

Explainable Artificial Intelligence (XAI)Machine Learning in Healthcare

Cited by 541

Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2011) · 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 541

TVQA: Localized, Compositional Video Question Answering

Lei, J., Yu, L., Bansal, M., & Berg, T. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 541

Mish: A Self Regularized Non-Monotonic Activation Function

Misra, D. (2019) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 541

Transparency and reproducibility in artificial intelligence

Haibe-Kains, B., Adam, G. A., Hosny, A., Khodakarami, F., Massive Analysis Quality Control (MAQC) Society Board of Directors, Shraddha, T., Kusko, R., Sansone, S.-A., Tong, W., Wolfinger, R. D., et al. (2020) · Nature

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

Cited by 540

Strong concepts: Intermediate-level knowledge in interaction design research

Höök, K., & Löwgren, J. (2012) · ACM Transactions on Computer-Human Interaction

Innovative Human-Technology InteractionDesign Education and Practice

Cited by 540

A comparison of automated segmentation and manual tracing for quantifying hippocampal and amygdala volumes

Morey, R. A., Petty, C. M., Xu, Y., Pannu Hayes, J., Wagner, H. R., Lewis, D. V., LaBar, K. S., Styner, M., & McCarthy, G. (2009) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 540

A systematic evaluation of large language models of code

Xu, F. F., Alon, U., Neubig, G., & Hellendoorn, V. J. (2022) · Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming

Software Engineering ResearchTopic Modeling

Cited by 540

Consistency of spectral clustering

von Luxburg, U., Belkin, M., & Bousquet, O. (2008) · The Annals of Statistics

Advanced Clustering Algorithms ResearchStatistical Methods and Inference

Cited by 540

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Shridhar, M., Thomason, J., Gordon, D., Bisk, Y., Han, W., Mottaghi, R., Zettlemoyer, L., & Fox, D. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 540

Stochastic Gradient Descent on Riemannian Manifolds

Bonnabel, S. (2013) · IEEE Transactions on Automatic Control

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 540

Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion

Yin, H., Molchanov, P., Alvarez, J. M., Li, Z., Mallya, A., Hoiem, D., Jha, N. K., & Kautz, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 540

Depth and Appearance for Mobile Scene Analysis

Ess, A., Leibe, B., & Van Gool, L. (2007) · 2007 IEEE 11th International Conference on Computer Vision

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 540

Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video

Sharifi, K., & Leon-Garcia, A. (1995) · IEEE Transactions on Circuits and Systems for Video Technology

Video Coding and Compression TechnologiesAdvanced Data Compression Techniques

Cited by 540

Quantum Computation as Geometry

Nielsen, M. A., Dowling, M. R., Gu, M., & Doherty, A. C. (2006) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 539

Findings of the 2016 Conference on Machine Translation

Bojar, O., Chatterjee, R., Federmann, C., Graham, Y., Haddow, B., Huck, M., Jimeno Yepes, A., Koehn, P., Logacheva, V., Monz, C., et al. (2016) · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers

Natural Language Processing TechniquesTopic Modeling

Cited by 539