Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective

26 January 2020

Papers citing "Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective"

12 / 12 papers shown

Title
A survey and taxonomy of methods interpreting random forest models Maissae Haddouchi A. Berrado 100 3 0 17 Jul 2024
Explainable automatic industrial carbon footprint estimation from bank transaction classification using natural language processing Jaime González-González Silvia García-Méndez Francisco de Arriba-Pérez Francisco J. González Castaño Oscar Barba-Seara 77 8 0 23 May 2024
Enhancing Breast Cancer Diagnosis in Mammography: Evaluation and Integration of Convolutional Neural Networks and Explainable AI Maryam Ahmed Tooba Bibi Rizwan Ahmed Khan Sidra Nasir 116 2 0 05 Apr 2024
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 99 1 0 19 Jul 2023
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face Detection Rudresh Dwivedi Ritesh Kumar Deepak Chopra Pranay Kothari Manjot Singh CVBM AAML 82 7 0 23 Apr 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective Nijat Mehdiyev Maxim Majlatow Peter Fettke 89 14 0 13 Apr 2023
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions Senthil Kumar Jagatheesaperumal Quoc-Viet Pham Rukhsana Ruby Zhaohui Yang Chunmei Xu Zhaoyang Zhang 96 56 0 02 Nov 2022
Enriching Artificial Intelligence Explanations with Knowledge Fragments Jože M. Rožanec Elena Trajkova I. Novalija Patrik Zajec K. Kenda B. Fortuna Dunja Mladenić 66 9 0 12 Apr 2022
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models S. Chatterjee Arnab Das Chirag Mandal Budhaditya Mukhopadhyay Manish Vipinraj Aniruddh Shukla R. Rao Chompunuch Sarasaen Oliver Speck A. Nürnberger MedIm 78 15 0 16 Oct 2021
Shapley variable importance clouds for interpretable machine learning Yilin Ning M. Ong Bibhas Chakraborty B. Goldstein Daniel Ting Roger Vaughan Nan Liu FAtt 69 74 0 06 Oct 2021
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing S. Tripathi David Muhr Manuel Brunner F. Emmert-Streib H. Jodlbauer M. Dehmer 43 45 0 28 Jul 2020
Machine Unlearning: Linear Filtration for Logit-based Classifiers Thomas Baumhauer Pascal Schöttle Matthias Zeppelzauer MU 176 133 0 07 Feb 2020