The Need for Interpretable Features: Motivation and Taxonomy

The Need for Interpretable Features: Motivation and Taxonomy

23 February 2022

Alexandra Zytek

Ignacio Arnaldo

Laure Berti-Equille

K. Veeramachaneni

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Papers citing "The Need for Interpretable Features: Motivation and Taxonomy"

13 / 13 papers shown

Title
MTV: Visual Analytics for Detecting, Investigating, and Annotating Anomalies in Multivariate Time Series Dongyu Liu Sarah Alnegheimish Alexandra Zytek K. Veeramachaneni AI4TS 56 21 0 10 Dec 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 46 38 0 04 Aug 2021
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making Alexandra Zytek Dongyu Liu R. Vaithianathan K. Veeramachaneni 50 48 0 02 Mar 2021
Dissonance Between Human and Machine Understanding Zijian Zhang Jaspreet Singh U. Gadiraju Avishek Anand 111 74 0 18 Jan 2021
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 87 403 0 19 Oct 2020
Human Factors in Model Interpretability: Industry Practices, Challenges, and Needs Sungsoo Ray Hong Jessica Hullman E. Bertini HAI 73 194 0 23 Apr 2020
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings Binny Mathew Sandipan Sikdar Florian Lemmerich M. Strohmaier 45 36 0 27 Jan 2020
Interpretable and Differentially Private Predictions Frederik Harder Matthias Bauer Mijung Park FAtt 50 53 0 05 Jun 2019
Stakeholders in Explainable AI Alun D. Preece Daniel Harborne Dave Braines Richard J. Tomsett Supriyo Chakraborty 45 157 0 29 Sep 2018
Feature Engineering for Predictive Modeling using Reinforcement Learning Udayan Khurana Horst Samulowitz D. Turaga 68 187 0 21 Sep 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 250 4,272 0 22 Jun 2017
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 1.1K 22,002 0 22 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 405 3,809 0 28 Feb 2017