🤖 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

Deep Learning for Anomaly Detection

Guansong Pang, Chunhua Shen et al. (2021)

ACM Computing Surveys

2.5K citesjournal articlePDF

Point Set Registration: Coherent Point Drift

Andriy Myronenko, Xubo Song (2010)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.5K citesjournal articlePDF

A Machine-Oriented Logic Based on the Resolution Principle

J. A. Robinson (1965)

Journal of the ACM

2.5K citesjournal articlePDF

Learning patterns of activity using real-time tracking

C. Stauffer, W.E.L. Grimson (2000)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.5K citesjournal articlePDF

Microglia Promote Learning-Dependent Synapse Formation through Brain-Derived Neurotrophic Factor

Christopher N. Parkhurst, Guang Yang et al. (2013)

Cell

2.5K citesjournal articlePDF

Learning Lessons

Hugh Mehan (1979)

2.5K citesedited bookPDF

CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database

Brian P Alcock, William Huynh et al. (2022)

Nucleic Acids Research

2.5K citesjournal articlePDF

Direct Sparse Odometry

Jakob Engel, Vladlen Koltun et al. (2018)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.5K citesjournal articlePDF

Deep Learning-Based Classification of Hyperspectral Data

Yushi Chen, Zhouhan Lin et al. (2014)

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

2.5K citesjournal articlePDF

Accurate, Dense, and Robust Multiview Stereopsis

Yasutaka Furukawa, Jean Ponce (2010)

IEEE Transactions on Pattern Analysis and Machine Intelligence

2.5K citesjournal articlePDF

Learning How to Learn

Joseph D. Novak, D. Bob Gowin et al. (1984)

2.5K citesmonograph

Low-Complexity Single-Image Super-Resolution based on Nonnegative Neighbor Embedding

Marco Bevilacqua, Aline Roumy et al. (2012)

Procedings of the British Machine Vision Conference 2012

2.5K citesproceedings article

Occupancy Networks: Learning 3D Reconstruction in Function Space

Lars Mescheder, Michael Oechsle et al. (2019)

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

2.5K citesproceedings articlePDF

The Spliceosome: Design Principles of a Dynamic RNP Machine

Markus C. Wahl, Cindy L. Will et al. (2009)

Cell

2.5K citesjournal articlePDF

Semi-supervised learning for peptide identification from shotgun proteomics datasets

Lukas Käll, Jesse D Canterbury et al. (2007)

Nature Methods

2.5K citesjournal articlePDF