Check computer science papers: citations, claims and retractions

Machine learning: Trends, perspectives, and prospects

Jordan, M. I., & Mitchell, T. M. (2015) · Science

Machine Learning and AlgorithmsArtificial Intelligence Applications

Cited by 9,955

Object Detection with Discriminatively Trained Part-Based Models

Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesAdvanced Neural Network Applications

Cited by 9,853

EfficientDet: Scalable and Efficient Object Detection

Tan, M., Pang, R., & Le, Q. V. (2019) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 9,841

UMAP: Uniform Manifold Approximation and Projection

McInnes, L., Healy, J., Saul, N., & Großberger, L. (2018) · Journal of Open Source Software

Face and Expression RecognitionTopological and Geometric Data Analysis

Cited by 9,826

Searching for MobileNetV3

Howard, A., Sandler, M., Chen, B., Wang, W., Chen, L.-C., Tan, M., Chu, G., Vasudevan, V., Zhu, Y., Pang, R., et al. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 9,708

Enriching Word Vectors with Subword Information

Bojanowski, P., Grave, E., Joulin, A., & Mikolov, T. (2017) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 9,645

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Wang, Q., Wu, B., Zhu, P., Li, P., Zuo, W., & Hu, Q. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 9,641

Learning Spatiotemporal Features with 3D Convolutional Networks

Tran, D., Bourdev, L., Fergus, R., Torresani, L., & Paluri, M. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 9,593

The graph neural network model

Scarselli, F., Gori, M., Tsoi, A. C., Hagenbuchner, M., & Monfardini, G. (2009) · IEEE Transactions on Neural Networks

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 9,582

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Carreira, J., & Zisserman, A. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 9,570

Focal Loss for Dense Object Detection

Lin, T.-Y., Goyal, P., Girshick, R., He, K., & Dollar, P. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 9,556

FreeSurfer

Fischl, B. (2012) · NeuroImage

Medical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications

Cited by 9,526

Playing Atari with Deep Reinforcement Learning

Mnih, V., Kavukcuoglu, K., Silver, D., Graves, A., Antonoglou, I., Wierstra, D., & Riedmiller, M. (2013) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 9,471

A view of cloud computing

Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al. (2010) · Communications of the ACM

Cloud Computing and Resource ManagementCloud Data Security Solutions

Cited by 9,464

Communication Theory of Secrecy Systems

Shannon, C. E. (1949) · Bell System Technical Journal

Coding theory and cryptographyDiverse Interdisciplinary Research Studies

Cited by 9,440

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al. (2016) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 9,408

Image denoising by sparse 3-D transform-domain collaborative filtering

Dabov, K., Foi, A., Katkovnik, V., & Egiazarian, K. (2007) · IEEE Transactions on Image Processing

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 9,283

Variational Mode Decomposition

Dragomiretskiy, K., & Zosso, D. (2014) · IEEE Transactions on Signal Processing

Image and Signal Denoising MethodsMachine Fault Diagnosis Techniques

Cited by 9,184

A Cluster Separation Measure

Davies, D. L., & Bouldin, D. W. (1979) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Clustering Algorithms ResearchData Mining and Machine Learning Applications

Cited by 9,145

Item-based collaborative filtering recommendation algorithms

Sarwar, B., Karypis, G., Konstan, J., & Riedl, J. (2001) · Proceedings of the 10th international conference on World Wide Web

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 9,135

Mastering the game of Go without human knowledge

Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., et al. (2017) · Nature

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 9,084

SUS: A 'Quick and Dirty' Usability Scale

Brooke, J. (1996) · Usability Evaluation In Industry

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 8,989

An Information-Maximization Approach to Blind Separation and Blind Deconvolution

Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation

Blind Source Separation TechniquesNeural Networks and Applications

Cited by 8,986

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Zhang, K., Zuo, W., Chen, Y., Meng, D., & Zhang, L. (2017) · IEEE Transactions on Image Processing

Image and Signal Denoising MethodsImage Enhancement Techniques

Cited by 8,983