๐Ÿค– Machine Learning Papers

Scholarly works matching "machine learning" in Crossref, sorted by the number of times other DOI-registered works cite them. Citation counts come from Crossref and are usually lower than Google Scholar figures.

500 top-cited papers indexed

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Moloud Abdar, Farhad Pourpanah et al. (2021)

Information Fusion

2.6K citesjournal articlePDF

A survey of iterative learning control

(2006)

IEEE Control Systems

2.6K citesjournal articlePDF

HMDB 5.0: the Human Metabolome Database for 2022

David S Wishart, AnChi Guo et al. (2021)

Nucleic Acids Research

2.6K citesjournal articlePDF

The Immunological Synapse: A Molecular Machine Controlling T Cell Activation

Arash Grakoui, Shannon K. Bromley et al. (1999)

Science

2.6K citesjournal articlePDF

Generalizing from a Few Examples

Yaqing Wang, Quanming Yao et al. (2020)

ACM Computing Surveys

2.6K citesjournal articlePDF

Learning a Similarity Metric Discriminatively, with Application to Face Verification

S. Chopra, R. Hadsell et al. (2005)

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)

2.6K citesproceedings articlePDF

Blended learning: Uncovering its transformative potential in higher education

D.Randy Garrison, Heather Kanuka (2004)

The Internet and Higher Education

2.6K citesjournal articlePDF

Deep learning for healthcare: review, opportunities and challenges

Riccardo Miotto, Fei Wang et al. (2017)

Briefings in Bioinformatics

2.6K citesjournal articlePDF

Continual lifelong learning with neural networks: A review

German I. Parisi, Ronald Kemker et al. (2019)

Neural Networks

2.6K citesjournal articlePDF

Seeded region growing

R. Adams, L. Bischof (1994)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.6K citesjournal articlePDF

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

Ross Girshick, Jeff Donahue et al. (2016)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.5K citesjournal articlePDF

Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem

Michael McCloskey, Neal J. Cohen (1989)

Psychology of Learning and Motivation

2.5K citesbook chapter

Characterization of signals from multiscale edges

S. Mallat, S. Zhong (1992)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.5K citesjournal articlePDF

Canonical Correlation Analysis: An Overview with Application to Learning Methods

David R. Hardoon, Sandor Szedmak et al. (2004)

Neural Computation

2.5K citesjournal articlePDF

Reinforcement learning in robotics: A survey

Jens Kober, J. Andrew Bagnell et al. (2013)

The International Journal of Robotics Research

2.5K citesjournal articlePDF