Toward Explainable AI for Regression Models

21 December 2021

Papers citing "Toward Explainable AI for Regression Models"

24 / 24 papers shown

Title
xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology Julius Hense M. J. Idaji Oliver Eberle Thomas Schnake Jonas Dippel Laure Ciernik Oliver Buchstab Andreas Mock Frederick Klauschen Klaus-Robert Müller 49 3 0 08 Jan 2025
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation Jonghyuk Park A. Lascarides S. Ramamoorthy 65 0 0 13 Dec 2024
xCG: Explainable Cell Graphs for Survival Prediction in Non-Small Cell Lung Cancer Marvin Sextro Gabriel Dernbach Kai Standvoss S. Schallenberg Frederick Klauschen Klaus-Robert Müller Maximilian Alber Lukas Ruff 23 0 0 12 Nov 2024
Developing Guidelines for Functionally-Grounded Evaluation of Explainable Artificial Intelligence using Tabular Data M. Velmurugan Chun Ouyang Yue Xu Renuka Sindhgatta B. Wickramanayake Catarina Moreira ELM LMTD XAI 14 0 0 30 Sep 2024
Enhancing Feature Selection and Interpretability in AI Regression Tasks Through Feature Attribution Alexander Hinterleitner T. Bartz-Beielstein Richard Schulz Sebastian Spengler Thomas Winter Christoph Leitenmeier 29 1 0 25 Sep 2024
A Survey and Comparison of Post-quantum and Quantum Blockchains Zebo Yang Haneen Alfauri Behrooz Farkiani Raj Jain Roberto Di Pietro A. Erbad 23 21 0 02 Sep 2024
Explaining Predictive Uncertainty by Exposing Second-Order Effects Florian Bley Sebastian Lapuschkin Wojciech Samek G. Montavon 18 2 0 30 Jan 2024
Decoupling Pixel Flipping and Occlusion Strategy for Consistent XAI Benchmarks Stefan Blücher Johanna Vielhaben Nils Strodthoff AAML 61 20 0 12 Jan 2024
Calibrated Explanations for Regression Tuwe Löfström Helena Lofstrom Ulf Johansson Cecilia Sönströd Rudy Matela XAI FAtt 8 2 0 30 Aug 2023
eXplainable Artificial Intelligence (XAI) in aging clock models Alena I. Kalyakulina I. Yusipov Alexey Moskalev Claudio Franceschi Mikhail Ivanchenko 19 19 0 21 Jul 2023
When a CBR in Hand is Better than Twins in the Bush Mobyen Uddin Ahmed Shaibal Barua Shahina Begum Mir Riyanul Islam Rosina O. Weber 22 1 0 09 May 2023
Metric Tools for Sensitivity Analysis with Applications to Neural Networks Jaime Pizarroso David Alfaya José M. Portela A. Roque 14 4 0 03 May 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 6 37 0 20 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 13 7 0 12 Apr 2023
On the Soundness of XAI in Prognostics and Health Management (PHM) D. Martín Juan Galán Páez J. Borrego-Díaz 32 12 0 09 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 29 37 0 01 Mar 2023
Neural Fields for Fast and Scalable Interpolation of Geophysical Ocean Variables J. E. Johnson Redouane Lguensat Ronan Fablet E. Cosme Julien Le Sommer 16 3 0 18 Nov 2022
XAI for transparent wind turbine power curve models S. Letzgus 13 0 0 21 Oct 2022
Automatic Identification of Chemical Moieties Jonas Lederer M. Gastegger Kristof T. Schütt Michael C. Kampffmeyer Klaus-Robert Muller Oliver T. Unke 15 5 0 30 Mar 2022
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series Christoffer Loeffler Wei-Cheng Lai Bjoern M. Eskofier Dario Zanca Lukas M. Schmidt Christopher Mutschler FAtt AI4TS 28 5 0 14 Mar 2022
SpookyNet: Learning Force Fields with Electronic Degrees of Freedom and Nonlocal Effects Oliver T. Unke Stefan Chmiela M. Gastegger Kristof T. Schütt H. E. Sauceda K. Müller 142 244 0 01 May 2021
PredDiff: Explanations and Interactions from Conditional Expectations Stefan Blücher Johanna Vielhaben Nils Strodthoff FAtt 8 19 0 26 Feb 2021
Local Function Complexity for Active Learning via Mixture of Gaussian Processes Danny Panknin Stefan Chmiela Klaus-Robert Muller Shinichi Nakajima 22 0 0 27 Feb 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,233 0 24 Jun 2017