Check computer science papers: citations, claims and retractions

A brief introduction to weakly supervised learning

Zhou, Z.-H. (2018) · National Science Review

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 1,899

The Transport Layer Security (TLS) Protocol Version 1.3

Rescorla, E. (2018)

Advanced Authentication Protocols SecurityCryptographic Implementations and Security

Cited by 1,897

Hypergraph Neural Networks

Feng, Y., You, H., Zhang, Z., Ji, R., & Gao, Y. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 1,895

Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R

Langfelder, P., Zhang, B., & Horvath, S. (2008) · Bioinformatics

Advanced Clustering Algorithms ResearchGene expression and cancer classification

Cited by 1,892

DDoS in the IoT: Mirai and Other Botnets

Kolias, C., Kambourakis, G., Stavrou, A., & Voas, J. (2017) · Computer

Network Security and Intrusion DetectionIoT and Edge/Fog Computing

Cited by 1,892

Quantum annealing with manufactured spins

Johnson, M. W., Amin, M. H. S., Gildert, S., Lanting, T., Hamze, F., Dickson, N., Harris, R., Berkley, A. J., Johansson, J., Bunyk, P., et al. (2011) · Nature

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 1,891

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

Rodriguez, J. D., Perez, A., & Lozano, J. A. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 1,890

Super-resolution from a single image

Glasner, D., Bagon, S., & Irani, M. (2009) · 2009 IEEE 12th International Conference on Computer Vision

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 1,889

Graph convolutional networks: a comprehensive review

Zhang, S., Tong, H., Xu, J., & Maciejewski, R. (2019) · Computational Social Networks

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 1,888

Cheap and fast---but is it good?: evaluating non-expert annotations for natural language tasks

Snow, R., O'Connor, B., Jurafsky, D., & Ng, A. Y. (2008) · Proceedings of the Conference on Empirical Methods in Natural Language Processing - EMNLP '08

Natural Language Processing TechniquesMobile Crowdsensing and Crowdsourcing

Cited by 1,887

Causability and explainability of artificial intelligence in medicine

Holzinger, A., Langs, G., Denk, H., Zatloukal, K., & Müller, H. (2019) · WIREs Data Mining and Knowledge Discovery

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 1,885

Restricted Boltzmann machines for collaborative filtering

Salakhutdinov, R., Mnih, A., & Hinton, G. (2007) · Proceedings of the 24th international conference on Machine learning

Recommender Systems and TechniquesNeural Networks and Applications

Cited by 1,885

Predicting good probabilities with supervised learning

Niculescu-Mizil, A., & Caruana, R. (2005) · Proceedings of the 22nd international conference on Machine learning - ICML '05

Imbalanced Data Classification TechniquesMachine Learning and Algorithms

Cited by 1,884

Review of Deep Learning Algorithms and Architectures

Shrestha, A., & Mahmood, A. (2019) · IEEE Access

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 1,883

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning

Sharma, P., Ding, N., Goodman, S., & Soricut, R. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 1,879

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

Nishio, T., & Yonetani, R. (2019) · ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 1,875

Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

Nishio, T., & Yonetani, R. (2018) · arXiv

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 1,875

Counterfactual Multi-Agent Policy Gradients

Foerster, J., Farquhar, G., Afouras, T., Nardelli, N., & Whiteson, S. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1,873

MesoNet: a Compact Facial Video Forgery Detection Network

Afchar, D., Nozick, V., Yamagishi, J., & Echizen, I. (2018) · 2018 IEEE International Workshop on Information Forensics and Security (WIFS)

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 1,872

A statistical test suite for random and pseudorandom number generators for cryptographic applications

Rukhin, A., Sota, J., Nechvatal, J., Smid, M., Barker, E., Leigh, S., Levenson, M., Vangel, M., Banks, D., Heckert, A., et al. (2000)

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 1,867

Where the Action Is: The Foundations of Embodied Interaction

Dourish, P. (2001) · The MIT Press eBooks

Innovative Human-Technology InteractionPhenomenology and Existential Philosophy

Cited by 1,866

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

Goldstein, A., Kapelner, A., Bleich, J., & Pitkin, E. (2015) · Journal of Computational and Graphical Statistics

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 1,861

Unsupervised Learning of Video Representations using LSTMs

Srivastava, N., Mansimov, E., & Salakhutdinov, R. (2015) · arXiv

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 1,861

Openface 2.0: facial behavior analysis toolkit

Baltrusaitis, T., Zadeh, A., Lim, Y. C., & Morency, L.-P. (2018) · 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)

Face recognition and analysisEmotion and Mood Recognition

Cited by 1,861