DECE: Decision Explorer with Counterfactual Explanations for Machine
Learning Models

DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models

19 August 2020

Huamin Qu

Papers citing "DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models"

15 / 15 papers shown

Title
Interactive Analysis of LLMs using Meaningful Counterfactuals Furui Cheng Vilém Zouhar Robin Shing Moon Chan Daniel Fürst Hendrik Strobelt Mennatallah El-Assady 37 10 0 23 Apr 2024
Distributional Counterfactual Explanations With Optimal Transport Lei You Lele Cao Mattias Nilsson Bo Zhao Lei Lei OT OffRL 25 1 0 23 Jan 2024
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 29 8 0 10 Aug 2023
DASS Good: Explainable Data Mining of Spatial Cohort Data A. Wentzel Carla Floricel G. Canahuate Mohamed A.Naser A. Mohamed Clifton Fuller L. V. Dijk G. Marai OOD 33 5 0 10 Apr 2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse Zijie J. Wang J. W. Vaughan R. Caruana Duen Horng Chau HAI 36 21 0 27 Feb 2023
DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps Donald Bertucci M. Hamid Yashwanthi Anand Anita Ruangrotsakun Delyar Tabatabai Melissa Perez Minsuk Kahng 43 29 0 14 May 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 36 13 0 11 Jan 2022
Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions Prateek Yadav Peter Hase Joey Tianyi Zhou 17 11 0 01 Nov 2021
Augmenting Decision Making via Interactive What-If Analysis Sneha Gathani Madelon Hulsebos James Gale P. Haas cCaugatay Demiralp 30 8 0 13 Sep 2021
VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models Furui Cheng Dongyu Liu F. Du Yanna Lin Alexandra Zytek Haomin Li Huamin Qu K. Veeramachaneni 24 37 0 04 Aug 2021
Improving Visualization Interpretation Using Counterfactuals Smiti Kaul D. Borland Nan Cao David Gotz CML 10 17 0 21 Jul 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
If Only We Had Better Counterfactual Explanations: Five Key Deficits to Rectify in the Evaluation of Counterfactual XAI Techniques Mark T. Keane Eoin M. Kenny Eoin Delaney Barry Smyth CML 27 146 0 26 Feb 2021
Vis Ex Machina: An Analysis of Trust in Human versus Algorithmically Generated Visualization Recommendations Rachael Zehrung A. Singhal M. Correll Leilani Battle HAI 14 20 0 12 Jan 2021
Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review Sahil Verma Varich Boonsanong Minh Hoang Keegan E. Hines John P. Dickerson Chirag Shah CML 26 164 0 20 Oct 2020