🤖 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

The future of digital health with federated learning

Nicola Rieke, Jonny Hancox et al. (2020)

npj Digital Medicine

3.2K citesjournal articlePDF

iCaRL: Incremental Classifier and Representation Learning

Sylvestre-Alvise Rebuffi, Alexander Kolesnikov et al. (2017)

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3.2K citesproceedings articlePDF

Robust Recovery of Subspace Structures by Low-Rank Representation

Guangcan Liu, Zhouchen Lin et al. (2013)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.2K citesjournal articlePDF

Learning Deconvolution Network for Semantic Segmentation

Hyeonwoo Noh, Seunghoon Hong et al. (2015)

2015 IEEE International Conference on Computer Vision (ICCV)

3.1K citesproceedings articlePDF

Machine Learning in Medicine

Rahul C. Deo (2015)

Circulation

3.1K citesjournal articlePDF

The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture

Lingzhong Fan, Hai Li et al. (2016)

Cerebral Cortex

3.1K citesjournal articlePDF

Deep learning with coherent nanophotonic circuits

Yichen Shen, Nicholas C. Harris et al. (2017)

Nature Photonics

3.1K citesjournal articlePDF

What video games have to teach us about learning and literacy

James Paul Gee (2003)

Computers in Entertainment

3.1K citesjournal articlePDF

Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education

Alice Y. Kolb, David A. Kolb (2005)

Academy of Management Learning & Education

3.1K citesjournal articlePDF

Deep Learning‐Based Crack Damage Detection Using Convolutional Neural Networks

Young‐Jin Cha, Wooram Choi et al. (2017)

Computer-Aided Civil and Infrastructure Engineering

3.1K citesjournal articlePDF

Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review

S. Barry Issenberg, William C. Mcgaghie et al. (2005)

Medical Teacher

3.1K citesjournal articlePDF

ML-KNN: A lazy learning approach to multi-label learning

Min-Ling Zhang, Zhi-Hua Zhou (2007)

Pattern Recognition

3.1K citesjournal articlePDF

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation

Jeong Joon Park, Peter Florence et al. (2019)

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3.1K citesproceedings articlePDF

Deep Face Recognition

Omkar M. Parkhi, Andrea Vedaldi et al. (2015)

Procedings of the British Machine Vision Conference 2015

3.1K citesproceedings article

Object Tracking Benchmark

Yi Wu, Jongwoo Lim et al. (2015)

IEEE Transactions on Pattern Analysis and Machine Intelligence

3.1K citesjournal articlePDF