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DESlib: A Dynamic ensemble selection library in Python

14 February 2018

Rafael M. O. Cruz

L. G. Hafemann

R. Sabourin

George D. C. Cavalcanti

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Papers citing "DESlib: A Dynamic ensemble selection library in Python"

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Title
Imbalanced malware classification: an approach based on dynamic classifier selection J. V. S. Souza C. B. Vieira G. D. C. Cunha R. M. O. Cruz 103 0 0 30 Mar 2025
Regularized Neural Ensemblers Sebastian Pineda Arango Maciej Janowski Lennart Purucker Arber Zela Frank Hutter Josif Grabocka UQCV 95 0 0 06 Oct 2024
MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines Hesam Jalalian Rafael M. O. Cruz 25 0 0 10 Jul 2024
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach Ricco Noel Hansen Flyckt Louise Sjodsholm M. B. Henriksen C.L. Brasen Ali Ebrahimi O. Hilberg T. Hansen U. Wiil L.H. Jensen A. Peimankar 26 2 0 14 Feb 2024
A post-selection algorithm for improving dynamic ensemble selection methods P. R. Cordeiro George D. C. Cavalcanti Rafael M. O. Cruz 24 3 0 25 Sep 2023
The choice of scaling technique matters for classification performance L. B. V. Amorim George D. C. Cavalcanti Rafael M. O. Cruz 45 159 0 23 Dec 2022
Local overlap reduction procedure for dynamic ensemble selection Mariana A. Souza R. Sabourin George D. C. Cavalcanti Rafael M. O. Cruz 20 2 0 16 Jun 2022
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model Sosuke Kobayashi Shun Kiyono Jun Suzuki Kentaro Inui MoMe 77 9 0 24 May 2022
Dynamic Ensemble Selection Using Fuzzy Hyperboxes R. Davtalab Rafael M. O. Cruz R. Sabourin 31 4 0 20 May 2022
Selecting and combining complementary feature representations and classifiers for hate speech detection Rafael M. O. Cruz Woshington V. de Sousa George D. C. Cavalcanti 49 14 0 18 Jan 2022
AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection Yunpu Zhao Rui Zhang Xiaqing Li 57 3 0 01 Jan 2022
Cost-sensitive Hierarchical Clustering for Dynamic Classifier Selection Meinolf Sellmann Tapan Shah 18 2 0 14 Dec 2020
Classifier Pool Generation based on a Two-level Diversity Approach Marcos Monteiro A. Britto J. P. Barddal Luiz Eduardo Soares de Oliveira R. Sabourin 15 1 0 03 Nov 2020
Brain Predictability toolbox: a Python library for neuroimaging based machine learning S. Hahn D. Yuan W. Thompson M. Owens N. Allgaier Hugh Garavan 13 11 0 03 Nov 2020
Dynamic Ensemble Learning for Credit Scoring: A Comparative Study Mahsan Abdoli M. Akbari J. Shahrabi 13 1 0 18 Oct 2020
scikit-dyn2sel -- A Dynamic Selection Framework for Data Streams Lucca Portes Cavalheiro J. P. Barddal A. Britto L. Heutte 15 2 0 17 Aug 2020
stream-learn -- open-source Python library for difficult data stream batch analysis Pawel Ksieniewicz P. Zyblewski AI4TS 35 28 0 29 Jan 2020
ICPRAI 2018 SI: On dynamic ensemble selection and data preprocessing for multi-class imbalance learning Rafael M. O. Cruz Mariana A. Souza R. Sabourin George D. C. Cavalcanti 52 8 0 22 Nov 2018
FIRE-DES++: Enhanced Online Pruning of Base Classifiers for Dynamic Ensemble Selection Rafael M. O. Cruz Dayvid V. R. Oliveira George D. C. Cavalcanti R. Sabourin 46 54 0 01 Oct 2018
Online local pool generation for dynamic classifier selection: an extended version Mariana A. Souza George D. C. Cavalcanti Rafael M. O. Cruz R. Sabourin 52 26 0 05 Sep 2018