Check computer science papers: citations, claims and retractions

Deep Learning: Methods and Applications

Deng, L., & Yu, D. (2014) · Foundations and Trends® in Signal Processing

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 3,480

Mask r-cnn

He, K., Gkioxari, G., Dollar, P., & Girshick, R. (2020) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,457

Grandmaster level in StarCraft II using multi-agent reinforcement learning

Vinyals, O., Babuschkin, I., Czarnecki, W. M., Mathieu, M., Dudzik, A., Chung, J., Choi, D. H., Powell, R., Ewalds, T., Georgiev, P., et al. (2019) · Nature

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 3,455

t-Closeness: Privacy Beyond k-Anonymity and l-Diversity

Li, N., Li, T., & Venkatasubramanian, S. (2007) · 2007 IEEE 23rd International Conference on Data Engineering

Privacy-Preserving Technologies in DataAccess Control and Trust

Cited by 3,451

Multi-view 3D Object Detection Network for Autonomous Driving

Chen, X., Ma, H., Wan, J., Li, B., & Xia, T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 3,450

Prolific.ac—A subject pool for online experiments

Palan, S., & Schitter, C. (2018) · Journal of Behavioral and Experimental Finance

Mobile Crowdsensing and CrowdsourcingExperimental Behavioral Economics Studies

Cited by 3,450

Striving for Simplicity: The All Convolutional Net

Springenberg, J. T., Dosovitskiy, A., Brox, T., & Riedmiller, M. (2014) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 3,447

The PARSEC benchmark suite: characterization and architectural implications

Bienia, C., Kumar, S., Singh, J. P., & Li, K. (2008) · Proceedings of the 17th international conference on Parallel architectures and compilation techniques

Parallel Computing and Optimization TechniquesDistributed and Parallel Computing Systems

Cited by 3,444

PubChem 2023 update

Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., et al. (2023) · Nucleic Acids Research

Computational Drug Discovery MethodsBiomedical Text Mining and Ontologies

Cited by 3,443

Automated Flower Classification over a Large Number of Classes

Nilsback, M.-E., & Zisserman, A. (2008) · 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing

Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 3,442

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

Eigen, D., Puhrsch, C., & Fergus, R. (2014) · arXiv

Advanced Vision and ImagingAdvanced Neural Network Applications

Cited by 3,442

Spectral Normalization for Generative Adversarial Networks

Miyato, T., Kataoka, T., Koyama, M., & Yoshida, Y. (2018) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 3,438

On calibration of modern neural networks

Guo, C., Pleiss, G., Sun, Y., & Weinberger, K. Q. (2017) · arXiv

Adversarial Robustness in Machine LearningAdvanced Neural Network Applications

Cited by 3,435

Compression of individual sequences via variable-rate coding

Ziv, J., & Lempel, A. (1978) · IEEE Transactions on Information Theory

Algorithms and Data CompressionAdvanced Data Compression Techniques

Cited by 3,432

Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space

Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 3,431

MnasNet: Platform-Aware Neural Architecture Search for Mobile

Tan, M., Chen, B., Pang, R., Vasudevan, V., Sandler, M., Howard, A., & Le, Q. V. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsMachine Learning and Data Classification

Cited by 3,416

DOTA: A Large-Scale Dataset for Object Detection in Aerial Images

Xia, G.-S., Bai, X., Ding, J., Zhu, Z., Belongie, S., Luo, J., Datcu, M., Pelillo, M., & Zhang, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 3,414

Action Recognition with Improved Trajectories

Wang, H., & Schmid, C. (2013) · 2013 IEEE International Conference on Computer Vision

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 3,407

Visual object tracking using adaptive correlation filters

Bolme, D., Beveridge, J. R., Draper, B. A., & Lui, Y. M. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 3,406

Deep learning for computer vision: A brief review

Voulodimos, A., Doulamis, N., Doulamis, A., & Protopapadakis, E. (2018) · Computational Intelligence and Neuroscience

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 3,403

A learning algorithm for Boltzmann machines

Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985) · Cognitive Science

Neural Networks and ApplicationsBayesian Modeling and Causal Inference

Cited by 3,402

MIMIC-IV, a freely accessible electronic health record dataset

Johnson, A. E. W., Bulgarelli, L., Shen, L., Gayles, A., Shammout, A., Horng, S., Pollard, T. J., Hao, S., Moody, B., Gow, B., et al. (2023) · Scientific Data

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 3,401

NbClust : An R Package for Determining the Relevant Number of Clusters in a Data Set

Charrad, M., Ghazzali, N., Boiteau, V., & Niknafs, A. (2014) · Journal of Statistical Software

Advanced Clustering Algorithms ResearchBayesian Methods and Mixture Models

Cited by 3,396

Variational quantum algorithms

Cerezo, M., Arrasmith, A., Babbush, R., Benjamin, S. C., Endo, S., Fujii, K., McClean, J. R., Mitarai, K., Yuan, X., Cincio, L., et al. (2021) · Nature Reviews Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 3,385