metric-learn: Metric Learning Algorithms in Python

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metric-learn: Metric Learning Algorithms in Python

13 August 2019

William de Vazelhes

Nathalie Vauquier

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Papers citing "metric-learn: Metric Learning Algorithms in Python"

16 / 16 papers shown

Title
Global Ground Metric Learning with Applications to scRNA data Damin Kühn Michael T. Schaub OOD 7 0 0 18 Jun 2025
Can an unsupervised clustering algorithm reproduce a categorization system? Nathalia Castellanos Dhruv Desai Sebastian Frank Stefano Pasquali Dhagash Mehta 49 3 0 19 Aug 2024
Gender mobility in the labor market with skills-based matching models Ajaya Adhikari S. Vethman Daan Vos Marc V. Lenz Ioana Cocu I. Tolios C. Veenman 21 2 0 17 Jul 2023
Improved Aircraft Environmental Impact Segmentation via Metric Learning Zhenyu Gao D. Mavris 47 0 0 24 Jun 2023
Metric Learning Improves the Ability of Combinatorial Coverage Metrics to Anticipate Classification Error Tyler Cody Laura J. Freeman OODD 41 2 0 28 Feb 2023
Robust Geometric Metric Learning Antoine Collas A. Breloy G. Ginolhac Chengfang Ren J. Ovarlez 69 3 0 23 Feb 2022
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 88 21 0 23 Jan 2022
Does It Capture STEL? A Modular, Similarity-based Linguistic Style Evaluation Framework Anna Wegmann D. Nguyen 92 12 0 10 Sep 2021
Metric Learning in Multilingual Sentence Similarity Measurement for Document Alignment Charith Rajitha Lakmali Piyarathne Dilan Sachintha Surangika Ranathunga 78 3 0 21 Aug 2021
Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling Liang Zeng Lei Wang Hui Niu Ruchen Zhang Ling Wang Jian Li 57 3 0 26 Jul 2021
AICP: Augmented Informative Cooperative Perception Pengyuan Zhou P. Kortoçi Yui-Pan Yau Tristan Braud Xiujun Wang Benjamin Finley Lik-Hang Lee Sasu Tarkoma J. Kangasharju Pan Hui 72 23 0 14 Jan 2021
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning Ritabrata Dutta K. Zouaoui Boudjeltia Christos Kotsalos A. Rousseau D. R. Sousa Jean-Marc Desmet A. V. Meerhaeghe Antonietta Mira B. Chopard 126 4 0 13 Oct 2020
PyTorch Metric Learning Kevin Musgrave Serge J. Belongie Ser-Nam Lim 53 107 0 20 Aug 2020
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples) Padraig Cunningham Sarah Jane Delany 113 612 0 09 Apr 2020
srlearn: A Python Library for Gradient-Boosted Statistical Relational Models Alexander L. Hayes GP 20 1 0 17 Dec 2019
Distance-learning For Approximate Bayesian Computation To Model a Volcanic Eruption Lorenzo Pacchiardi Pierre Künzli Marcel Schoengens B. Chopard Ritabrata Dutta 65 13 0 28 Sep 2019