Autostacker: A Compositional Evolutionary Learning System

Autostacker: A Compositional Evolutionary Learning System

2 March 2018

I. Chattopadhyay

Papers citing "Autostacker: A Compositional Evolutionary Learning System"

14 / 14 papers shown

Title
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity Rafael Barbudo Aurora Ramírez José Raúl Romero 18 0 0 03 Feb 2024
Review of the state of the art in autonomous artificial intelligence P. Radanliev D. De Roure 15 12 0 17 Oct 2022
Naive Automated Machine Learning F. Mohr Marcel Wever 24 11 0 29 Nov 2021
AlphaD3M: Machine Learning Pipeline Synthesis Iddo Drori Yamuna Krishnamurthy Rémi Rampin Raoni Lourenço Jorge Piazentin Ono Kyunghyun Cho Claudio Silva J. Freire 30 85 0 03 Nov 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Bin Cui LRM 29 44 0 19 Jul 2021
Multi-level Stress Assessment from ECG in a Virtual Reality Environment using Multimodal Fusion Zeeshan Ahmad S. Rabbani Muhammad Rehman Zafar Syem Ishaque Sri Krishnan N. Khan 34 13 0 09 Jul 2021
Ensemble Squared: A Meta AutoML System Jason Yoo Tony Joseph Dylan Yung S. Nasseri Frank Wood MoE 27 8 0 10 Dec 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 35 266 0 08 Jul 2020
DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering Yuval Heffetz Roman Vainshtein Gilad Katz Lior Rokach 25 39 0 31 Oct 2019
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Xia Hu 18 48 0 21 Jul 2019
Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar Iddo Drori Yamuna Krishnamurthy Raoni Lourenço Rémi Rampin Kyunghyun Cho Claudio Silva J. Freire AI4CE 25 29 0 24 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 25 86 0 26 Apr 2019
OBOE: Collaborative Filtering for AutoML Model Selection Chengrun Yang Yuji Akimoto Dae Won Kim Madeleine Udell 21 100 0 09 Aug 2018
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 33 311 0 28 Jan 2016