Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

20 March 2016

Papers citing "Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science"

50 / 115 papers shown

Title
GenoML: Automated Machine Learning for Genomics Mary B Makarious H. Leonard Dan Vitale H. Iwaki David Saffo ... R. Campbell Sayed Hadi Hashemi A. Singleton M. Nalls F. Faghri GP LM&MA VLM AI4CE 45 12 0 04 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 109 87 0 01 Mar 2021
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the Loop Anamaria Crisan Brittany Fiore-Gartland 77 53 0 12 Jan 2021
AutonoML: Towards an Integrated Framework for Autonomous Machine Learning D. Kedziora Katarzyna Musial Bogdan Gabrys 88 17 0 23 Dec 2020
Leveraging Automated Machine Learning for Text Classification: Evaluation of AutoML Tools and Comparison with Human Performance Matthias Blohm Marc Hanussek Maximilien Kintz 58 21 0 07 Dec 2020
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data Romain Egele Prasanna Balaprakash V. Vishwanath Isabelle M Guyon Zhengying Liu LMTD 58 21 0 30 Oct 2020
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 170 233 0 21 Oct 2020
An Extensive Experimental Evaluation of Automated Machine Learning Methods for Recommending Classification Algorithms (Extended Version) M. Basgalupp Rodrigo C. Barros A. G. C. D. Sá G. Pappa R. G. Mantovani A. Carvalho A. Freitas 44 4 0 16 Sep 2020
Can AutoML outperform humans? An evaluation on popular OpenML datasets using AutoML Benchmark Marc Hanussek Matthias Blohm Maximilien Kintz 72 33 0 03 Sep 2020
Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition Thomas Uriot Dario Izzo Luís F. Simões R. Abay Nils Einecke Sven Rebhan Jose Martinez-Heras F. Letizia J. Siminski K. Merz 48 55 0 07 Aug 2020
Detecting Malicious Accounts in Permissionless Blockchains using Temporal Graph Properties R. Agarwal Shikhar Barve S. Shukla 71 36 0 10 Jul 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 124 285 0 08 Jul 2020
Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL Lucas Zimmer Marius Lindauer Frank Hutter MU 129 92 0 24 Jun 2020
Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications Jamie Pool Ebrahim Beyrami Vishak Gopal A. Aazami J. Gupchup Jeff Rowland Binlong Li Pritesh Kanani Ross Cutler J. Gehrke 29 11 0 23 Jun 2020
Is deep learning necessary for simple classification tasks? Joseph D. Romano Trang T. Le Weixuan Fu J. Moore 170 15 0 11 Jun 2020
Sherpa: Robust Hyperparameter Optimization for Machine Learning L. Hertel Julian Collado Peter Sadowski J. Ott Pierre Baldi 125 106 0 08 May 2020
Testing the Robustness of AutoML Systems Tuomas Halvari J. Nurminen T. Mikkonen 24 12 0 06 May 2020
Human-Machine Collaboration for Democratizing Data Science Clément Gautrais Yann Dauxais Stefano Teso Samuel Kolb Gust Verbruggen Luc de Raedt 26 3 0 23 Apr 2020
Evolution of Scikit-Learn Pipelines with Dynamic Structured Grammatical Evolution Filipe Assunção Nuno Lourenço B. Ribeiro Penousal Machado 36 16 0 01 Apr 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 225 634 0 13 Mar 2020
Lifting Interpretability-Performance Trade-off via Automated Feature Engineering Alicja Gosiewska P. Biecek 42 1 0 11 Feb 2020
An Adaptive and Near Parameter-free Evolutionary Computation Approach Towards True Automation in AutoML B. Evans Bing Xue Mengjie Zhang 44 9 0 28 Jan 2020
Improving generalisation of AutoML systems with dynamic fitness evaluations B. Evans Bing Xue Mengjie Zhang 36 1 0 23 Jan 2020
Analysis of an Automated Machine Learning Approach in Brain Predictive Modelling: A data-driven approach to Predict Brain Age from Cortical Anatomical Measures J. Dafflon W. H. Pinaya F. Turkheimer James H. Cole R. Leech M. Harris S. Cox H. Whalley A. McIntosh Peter J Hellyer 44 2 0 08 Oct 2019
Augmented Data Science: Towards Industrialization and Democratization of Data Science H. Uzunalioglu Jin Cao C. Phadke Gerald Lehmann A. Akyamaç Ran He Jeongran Lee Maria Able 19 3 0 12 Sep 2019
Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research Prasanna Balaprakash Romain Egele Misha Salim Stefan M. Wild V. Vishwanath Fangfang Xia Thomas Brettin Rick L. Stevens 68 54 0 01 Sep 2019
Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools A. Truong Austin Walters Jeremy Goodsitt Keegan E. Hines Bayan Bruss R. Farivar 114 201 0 15 Aug 2019
Techniques for Automated Machine Learning Yi-Wei Chen Qingquan Song Helen Zhou 65 50 0 21 Jul 2019
Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework G. Truda P. Marais 47 2 0 11 Jul 2019
Visus: An Interactive System for Automatic Machine Learning Model Building and Curation Aécio Santos Sonia Castelo Cristian Felix Jorge Piazentin Ono Bowen Yu S. Hong Cláudio T. Silva E. Bertini J. Freire HAI 52 30 0 05 Jul 2019
Two-stage Optimization for Machine Learning Workflow Alexandre Quemy TPM 49 26 0 01 Jul 2019
Exploiting Unsupervised Pre-training and Automated Feature Engineering for Low-resource Hate Speech Detection in Polish Renard Korzeniowski Rafal Rolczynski Przemyslaw Sadownik Tomasz Korbak Marcin Mo.zejko 34 4 0 17 Jun 2019
Automated Machine Learning with Monte-Carlo Tree Search Herilalaina Rakotoarison Marc Schoenauer Michèle Sebag 75 19 0 01 Jun 2019
Evaluating recommender systems for AI-driven biomedical informatics William La Cava Heather Williams Weixuan Fu Steve Vitale Durga Srivatsan J. Moore 39 14 0 22 May 2019
The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development Micah J. Smith Carles Sala Cladellas James Max Kanter K. Veeramachaneni 105 49 0 22 May 2019
Interpretable Automated Machine Learning in Maana(TM) Knowledge Platform Alexander Elkholy Fangkai Yang Steven M. Gustafson 29 4 0 06 May 2019
Benchmark and Survey of Automated Machine Learning Frameworks Marc-André Zöller Marco F. Huber 75 86 0 26 Apr 2019
Unveiling phase transitions with machine learning A. Canabarro F. Fanchini A. Malvezzi R. Pereira Rafael Chaves 58 64 0 02 Apr 2019
Adaptive Bayesian Linear Regression for Automated Machine Learning Weilin Zhou F. Precioso 59 5 0 01 Apr 2019
Towards automatic construction of multi-network models for heterogeneous multi-task learning Unai Garciarena A. Mendiburu Roberto Santana 45 3 0 21 Mar 2019
SAFE ML: Surrogate Assisted Feature Extraction for Model Learning Alicja Gosiewska A. Gacek Piotr Lubon P. Biecek 65 5 0 28 Feb 2019
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines Aritra Chowdhury M. Magdon-Ismail B. Yener 53 3 0 25 Feb 2019
Quantifying contribution and propagation of error from computational steps, algorithms and hyperparameter choices in image classification pipelines Aritra Chowdhury M. Magdon-Ismail B. Yener 42 0 0 21 Feb 2019
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning Fei Qi Z. Xia Gaoyang Tang Hang Yang Yu Song Guangrui Qian Xiong An Chunhuan Lin Guangming Shi AI4CE 45 5 0 20 Nov 2018
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset Silu Huang Chi Wang Bolin Ding S. Chaudhuri 20 0 0 08 Nov 2018
Automated Machine Learning: From Principles to Practices Quanming Yao Mengshuo Wang Hugo Jair Escalante Huan Zhao Qiang Yang 117 259 0 31 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 102 761 0 08 Oct 2018
Nested cross-validation when selecting classifiers is overzealous for most practical applications Jacques Wainer G. Cawley 49 216 0 25 Sep 2018
Multidomain Document Layout Understanding using Few Shot Object Detection Pranaydeep Singh Srikrishna Varadarajan A. Singh Muktabh Mayank Srivastava 34 6 0 22 Aug 2018
Machine learning non-local correlations A. Canabarro S. Brito Rafael Chaves 54 50 0 21 Aug 2018