Check computer science papers: citations, claims and retractions

‘GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers’

Abraham, M. J., Murtola, T., Schulz, R., Páll, S., Smith, J. C., Hess, B., & Lindahl, E. (2015) · SoftwareX

Parallel Computing and Optimization TechniquesProtein Structure and Dynamics

Cited by 27,190

Efficient Estimation of Word Representations in Vector Space

Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 26,568

Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography

Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM

Image and Object Detection TechniquesAdvanced Vision and Imaging

Cited by 25,893

CBAM: Convolutional Block Attention Module

Woo, S., Park, J., Lee, J.-Y., & Kweon, I. S. (2018) · Lecture Notes in Computer Science

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 25,853

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Cho, K., van Merrienboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 25,545

Semi-supervised classification with graph convolutional networks

Kipf, T. N., & Welling, M. (2016) · arXiv

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 24,853

Distributed Representations of Words and Phrases and their Compositionality

Mikolov, T., Sutskever, I., Chen, K., Corrado, G., & Dean, J. (2013) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 24,533

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

Selvaraju, R. R., Cogswell, M., Das, A., Vedantam, R., Parikh, D., & Batra, D. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 24,513

The REDCap consortium: building an international community of software platform partners

Harris, P. A., Taylor, R., Minor, B. L., Elliott, V., Fernandez, M., O'Neal, L., McLeod, L., Delacqua, G., Delacqua, F., Kirby, J., et al. (2019) · Journal of Biomedical Informatics

Research Data Management PracticesScientific Computing and Data Management

Cited by 24,013

Array programming with NumPy

Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., Wieser, E., Taylor, J., Berg, S., Smith, N. J., et al. (2020) · Nature

Computational Physics and Python ApplicationsScientific Computing and Data Management

Cited by 23,826

A Unified Approach to Interpreting Model Predictions

Lundberg, S., & Lee, S.-I. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 23,707

Unpaired image-to-image translation using cycle-consistent adversarial networks

Zhu, J.-Y., Park, T., Isola, P., & Efros, A. A. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

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

Cited by 23,602

A survey on transfer learning

Pan, S. J., & Yang, Q. (2010) · IEEE Transactions on Knowledge and Data Engineering

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 23,387

Language Models are Few-Shot Learners

Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al. (2020) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 23,372

Image-to-Image Translation with Conditional Adversarial Networks

Isola, P., Zhu, J.-Y., Zhou, T., & Efros, A. A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

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

Cited by 22,930

Textural Features for Image Classification

Haralick, R. M., Shanmugam, K., & Dinstein, I. (1973) · IEEE Transactions on Systems, Man, and Cybernetics

Image Retrieval and Classification TechniquesRemote-Sensing Image Classification

Cited by 22,886

A tutorial on hidden Markov models and selected applications in speech recognition

Rabiner, L. R. (1989) · Proceedings of the IEEE

Speech Recognition and SynthesisBayesian Methods and Mixture Models

Cited by 22,743

Comparing the Areas under Two or More Correlated Receiver Operating Characteristic Curves: A Nonparametric Approach

DeLong, E. R., DeLong, D. M., & Clarke-Pearson, D. L. (1988) · Biometrics

Imbalanced Data Classification TechniquesStatistical Methods in Epidemiology

Cited by 22,649

SSD: Single Shot MultiBox Detector

Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., & Berg, A. C. (2015) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 22,443

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 22,392

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2016) · arXiv

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 22,392

Welcome to the tidyverse

Wickham, H., Averick, M., Bryan, J., Chang, W., McGowan, L., François, R., Grolemund, G., Hayes, A., Henry, L., Hester, J., et al. (2019) · Journal of Open Source Software

Data Analysis with RScientific Computing and Data Management

Cited by 22,138

The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Hanley, J. A., & McNeil, B. J. (1982) · Radiology

Imbalanced Data Classification TechniquesStatistical Methods in Epidemiology

Cited by 21,856

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Dosovitskiy, A., Beyer, L., Kolesnikov, A., Weissenborn, D., Zhai, X., Unterthiner, T., Dehghani, M., Minderer, M., Heigold, G., Gelly, S., et al. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 21,793