EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering
Algorithm in Julia

EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia

3 May 2021

Patryk Orzechowski

Papers citing "EBIC.JL -- an Efficient Implementation of Evolutionary Biclustering Algorithm in Julia"

10 / 10 papers shown

Title
MLJ: A Julia package for composable machine learning Anthony D. Blaom Franz J. Király Thibaut Lienart Yiannis Simillides Diego Arenas Sebastian J. Vollmer VLM 68 56 0 23 Jul 2020
Epsilon-Lexicase Selection for Regression William La Cava Lee Spector K. Danai 25 136 0 30 May 2019
Fashionable Modelling with Flux Mike Innes Elliot Saba Keno Fischer Dhairya Gandhi Marco Concetto Rudilosso Neethu Mariya Joy Tejan Karmali Avik Pal Viral B. Shah AI4CE 63 163 0 01 Nov 2018
Where are we now? A large benchmark study of recent symbolic regression methods Patryk Orzechowski William La Cava J. Moore 35 160 0 25 Apr 2018
EBIC: an evolutionary-based parallel biclustering algorithm for pattern discover Patryk Orzechowski Moshe Sipper Xiuzhen Huang J. Moore 23 33 0 09 Jan 2018
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations Yizhou Sun Gary G. Yen Zhang Yi 44 132 0 13 Dec 2017
Effective Extensible Programming: Unleashing Julia on GPUs Tim Besard Christophe Foket B. De Sutter 47 185 0 08 Dec 2017
Evolving Deep Neural Networks Risto Miikkulainen J. Liang Elliot Meyerson Aditya Rawal Daniel Fink ... B. Raju Hormoz Shahrzad Arshak Navruzyan Nigel P. Duffy Babak Hodjat 86 888 0 01 Mar 2017
Automating biomedical data science through tree-based pipeline optimization Randal S. Olson Ryan J. Urbanowicz Peter C. Andrews Nicole A. Lavender L. C. Kidd J. Moore AI4CE 52 315 0 28 Jan 2016
A Multi-objective Exploratory Procedure for Regression Model Selection Ankur Sinha P. Malo Timo Kuosmanen 47 11 0 28 Mar 2012