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PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020

1 May 2020

Claudio Silva

Papers citing "PipelineProfiler: A Visual Analytics Tool for the Exploration of AutoML Pipelines"

20 / 20 papers shown

Title
DeepCAVE: A Visualization and Analysis Tool for Automated Machine Learning Sarah Segel Helena Graf Edward Bergman Kristina Thieme Marcel Wever Alexander Tornede Frank Hutter Marius Lindauer 64 0 0 01 Dec 2025
RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation Pipelines Quentin Romero Lauro Shreya Shankar Sepanta Zeighami Aditya G. Parameswaran 188 3 0 18 Apr 2025
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression ExperimentsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2024 Angie Boggust Venkatesh Sivaraman Yannick Assogba Donghao Ren Dominik Moritz Fred Hohman VLM 197 9 0 06 Aug 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer Florian Karl A. Klier Julia Moosbauer Alexander Tornede Andreas Mueller Frank Hutter Matthias Feurer Bernd Bischl 222 16 0 05 Jun 2024
Deciphering AutoML Ensembles: cattleia's Assistance in Decision-Making Anna Kozak Dominik Kedzierski Jakub Piwko Malwina Wojewoda Katarzyna Wo'znica 147 1 0 19 Mar 2024
OutlineSpark: Igniting AI-powered Presentation Slides Creation from Computational Notebooks through OutlinesInternational Conference on Human Factors in Computing Systems (CHI), 2024 Fengjie Wang Yanna Lin Leni Yang Haotian Li Mingyang Gu Min Zhu Huamin Qu 240 14 0 14 Mar 2024
Evolving machine learning workflows through interactive AutoML Rafael Barbudo Aurora Ramírez José Raúl Romero 123 2 0 28 Feb 2024
X Hacking: The Threat of Misguided AutoML Rahul Sharma Sergey Redyuk Sumantrak Mukherjee Andrea Sipka Eyke Hüllermeier Sebastian Vollmer David Selby 392 4 0 16 Jan 2024
Integration Of Evolutionary Automated Machine Learning With Structural Sensitivity Analysis For Composite Pipelines Nikolay O. Nikitin Maiia Pinchuk Valerii Pokrovskii Peter Shevchenko Andrey Getmanov Yaroslav Aksenkin I. Revin Andrey Stebenkov Ekaterina Poslavskaya Anna V. Kaluzhnaya 166 0 0 22 Dec 2023
A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective OptimizationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Ya-Wen Huang Zherui Zhang Ao Jiao Yuxin Ma Ran Cheng 149 7 0 10 Aug 2023
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks Zijie J. Wang David Munechika Seongmin Lee Duen Horng Chau 281 12 0 04 May 2023
Angler: Helping Machine Translation Practitioners Prioritize Model ImprovementsInternational Conference on Human Factors in Computing Systems (CHI), 2023 Samantha Robertson Zijie J. Wang Dominik Moritz Mary Beth Kery Fred Hohman 225 20 0 12 Apr 2023
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data WorkInternational Conference on Human Factors in Computing Systems (CHI), 2023 Jennifer Rogers Anamaria Crisan 172 9 0 05 Apr 2023
VAID: Indexing View Designs in Visual Analytics SystemInternational Conference on Human Factors in Computing Systems (CHI), 2022 Lu Ying Aoyu Wu Haotian Li Zikun Deng Ji Lan Jiang Wu Yong Wang Huamin Qu Dazhen Deng Yingcai Wu 175 11 0 03 Nov 2022
Visual Analysis of Neural Architecture Spaces for Summarizing Design PrinciplesIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022 Jun Yuan Mengchen Liu Fengyuan Tian Shixia Liu 167 13 0 20 Aug 2022
Data+Shift: Supporting visual investigation of data distribution shifts by data scientistsEurographics Conference on Visualization (EuroVis), 2022 João Palmeiro Beatriz Malveiro Rita Costa David Polido Ricardo Moreira P. Bizarro OOD 99 8 0 29 Apr 2022
XAutoML: A Visual Analytics Tool for Understanding and Validating Automated Machine Learning Marc-André Zöller Waldemar Titov T. Schlegel Marco F. Huber HAI 294 17 0 24 Feb 2022
VisRuler: Visual Analytics for Extracting Decision Rules from Bagged and Boosted Decision Trees Angelos Chatzimparmpas Rafael M. Martins Andreas Kerren 533 17 0 01 Dec 2021
Whither AutoML? Understanding the Role of Automation in Machine Learning WorkflowsInternational Conference on Human Factors in Computing Systems (CHI), 2021 Doris Xin Eva Yiwei Wu D. Lee Niloufar Salehi Aditya G. Parameswaran 186 105 0 13 Jan 2021
Fits and Starts: Enterprise Use of AutoML and the Role of Humans in the LoopInternational Conference on Human Factors in Computing Systems (CHI), 2021 Anamaria Crisan Brittany Fiore-Gartland 161 61 0 12 Jan 2021