ATMSeer: Increasing Transparency and Controllability in Automated
Machine Learning

ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning

13 February 2019

K. Veeramachaneni

Huamin Qu

Papers citing "ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning"

14 / 14 papers shown

Title
Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling Haotian Li Yun Wang Q. V. Liao Huamin Qu 63 23 0 17 Apr 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 21 13 0 21 Feb 2023
AutoDOViz: Human-Centered Automation for Decision Optimization D. Weidele S. Afzal Abel N. Valente Cole Makuch Owen Cornec ... Radu Marinescu Paulito Palmes Elizabeth M. Daly Loraine Franke D. Haehn OffRL 43 4 0 19 Feb 2023
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service" Kornel Lewicki M. S. Lee Jennifer Cobbe Jatinder Singh 31 21 0 02 Feb 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
An Empirical Study on the Usage of Automated Machine Learning Tools Forough Majidi Moses Openja Foutse Khomh Heng Li 45 14 0 28 Aug 2022
Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites Reza Hadi Mogavi Xiaojuan Ma Pan Hui 36 26 0 31 Jan 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows Doris Xin Eva Yiwei Wu D. Lee Niloufar Salehi Aditya G. Parameswaran 56 91 0 13 Jan 2021
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 12 25 0 15 Sep 2020
StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics Angelos Chatzimparmpas Rafael M. Martins Kostiantyn Kucher Andreas Kerren DiffM BDL 27 75 0 04 May 2020
Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems Jaimie Drozdal Justin D. Weisz Dakuo Wang Gaurav Dass Bingsheng Yao Changruo Zhao Michael J. Muller Lin Ju Hui Su 44 125 0 17 Jan 2020
An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises F. Mohammadi M. Amini H. Arabnia OffRL 28 22 0 26 Aug 2019
Conditional Parallel Coordinates D. Weidele 11 17 0 18 Jun 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016