A Survey on the Explainability of Supervised Machine Learning

16 November 2020

Papers citing "A Survey on the Explainability of Supervised Machine Learning"

50 / 66 papers shown

Title
Threat Modeling for AI: The Case for an Asset-Centric Approach Jose Sanchez Vicarte Marcin Spoczynski Mostafa Elsaid 29 0 0 08 May 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 46 0 0 06 May 2025
CoCoAFusE: Beyond Mixtures of Experts via Model Fusion Aurelio Raffa Ugolini M. Tanelli Valentina Breschi MoE 24 0 0 02 May 2025
Promoting Security and Trust on Social Networks: Explainable Cyberbullying Detection Using Large Language Models in a Stream-Based Machine Learning Framework Silvia García-Méndez Francisco de Arriba-Pérez 17 0 0 07 Apr 2025
Surrogate Modeling for Explainable Predictive Time Series Corrections Alfredo Lopez Florian Sobieczky AI4TS 43 0 0 17 Jan 2025
Attention Mechanisms Don't Learn Additive Models: Rethinking Feature Importance for Transformers Tobias Leemann Alina Fastowski Felix Pfeiffer Gjergji Kasneci 59 4 0 10 Jan 2025
On the influence of dependent features in classification problems: a game-theoretic perspective Laura Davila-Pena Alejandro Saavedra-Nieves Balbina Casas-Méndez TDI FAtt 15 0 0 05 Aug 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 36 1 0 10 Jul 2024
Introducing Ínside' Out of Distribution Teddy Lazebnik 31 1 0 05 Jul 2024
Towards Robust Training Datasets for Machine Learning with Ontologies: A Case Study for Emergency Road Vehicle Detection Lynn Vonderhaar Timothy Elvira T. Procko Omar Ochoa 26 0 0 21 Jun 2024
Automatic generation of insights from workers' actions in industrial workflows with explainable Machine Learning Francisco de Arriba-Pérez Silvia García-Méndez Javier Otero-Mosquera Francisco J. González Castaño F. Gil-Castiñeira 14 0 0 18 Jun 2024
On GNN explanability with activation rules Luca Veyrin-Forrer Ataollah Kamal Stefan Duffner Marc Plantevit C. Robardet AI4CE 21 2 0 17 Jun 2024
Efficient Exploration of the Rashomon Set of Rule Set Models Martino Ciaperoni Han Xiao A. Gionis 25 3 0 05 Jun 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 28 8 0 23 May 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 37 1 0 29 Apr 2024
Toward a Quantum Information System Cybersecurity Taxonomy and Testbed: Exploiting a Unique Opportunity for Early Impact Benjamin Blakely Joaquin Chung Alec Poczatek Ryan Syed Raj Kettimuthu 16 1 0 18 Apr 2024
Accurate estimation of feature importance faithfulness for tree models Mateusz Gajewski Adam Karczmarz Mateusz Rapicki Piotr Sankowski 37 0 0 04 Apr 2024
What is the focus of XAI in UI design? Prioritizing UI design principles for enhancing XAI user experience Dian Lei Yao He Jianyou Zeng 28 1 0 21 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Balint Gyevnar Cheng Wang Steven Peters Stefano V. Albrecht XAI 28 26 0 08 Feb 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 28 6 0 26 Jan 2024
Generating Likely Counterfactuals Using Sum-Product Networks Jiri Nemecek Tomás Pevný Jakub Marecek TPM 76 0 0 25 Jan 2024
A novel post-hoc explanation comparison metric and applications Shreyan Mitra Leilani H. Gilpin FAtt 31 0 0 17 Nov 2023
Scene Text Recognition Models Explainability Using Local Features M. Ty Rowel Atienza 28 1 0 14 Oct 2023
Interpretability is not Explainability: New Quantitative XAI Approach with a focus on Recommender Systems in Education Riccardo Porcedda XAI 28 0 0 18 Sep 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 30 4 0 07 Aug 2023
Beyond Single-Feature Importance with ICECREAM M.-J. Oesterle Patrick Blobaum Atalanti A. Mastakouri Elke Kirschbaum CML 32 1 0 19 Jul 2023
A Vulnerability of Attribution Methods Using Pre-Softmax Scores Miguel A. Lerma Mirtha Lucas FAtt 19 0 0 06 Jul 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 34 1 0 18 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 16 37 0 20 Apr 2023
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level Chase Yakaboski E. Santos 19 2 0 08 Mar 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 29 1 0 17 Feb 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin S. Rinderle-Ma AI4TS 38 2 0 08 Feb 2023
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT Jacopo Teneggi P. Yi Jeremias Sulam 25 3 0 29 Nov 2022
Deep Fake Detection, Deterrence and Response: Challenges and Opportunities Amin Azmoodeh Ali Dehghantanha 29 2 0 26 Nov 2022
Mixture of Decision Trees for Interpretable Machine Learning Simeon Brüggenjürgen Nina Schaaf P. Kerschke Marco F. Huber MoE 9 0 0 26 Nov 2022
Beyond Mahalanobis-Based Scores for Textual OOD Detection Pierre Colombo Eduardo Dadalto Camara Gomes Guillaume Staerman Nathan Noiry Pablo Piantanida OODD 41 5 0 24 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 32 4 0 09 Nov 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
FEAMOE: Fair, Explainable and Adaptive Mixture of Experts Shubham Sharma Jette Henderson Joydeep Ghosh FedML MoE 28 5 0 10 Oct 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Zehao Dong Heming Zhang Yixin Chen Philip R. O. Payne Fuhai Li GNN 40 16 0 19 Sep 2022
Slimmable Quantum Federated Learning Won Joon Yun Jae Pyoung Kim Soyi Jung Jihong Park M. Bennis Joongheon Kim 15 27 0 20 Jul 2022
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs Benjamin Fuhrer Yuval Shpigelman Chen Tessler Shie Mannor Gal Chechik E. Zahavi Gal Dalal 25 4 0 05 Jul 2022
Attention Flows for General Transformers Niklas Metzger Christopher Hahn Julian Siber Frederik Schmitt Bernd Finkbeiner 34 0 0 30 May 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 38 77 0 06 May 2022
Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides A. Quiros N. Coudray A. Yeaton Xinyu Yang Bojing Liu ... H. Pass A. Moreira J. L. Quesne A. Tsirigos Ke-Fei Yuan SSL 13 5 0 04 May 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 28 27 0 22 Mar 2022
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning Jasmina Gajcin Ivana Dusparic CML 43 6 0 21 Mar 2022
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies Lukas M. Schmidt Sebastian Rietsch Axel Plinge Bjoern M. Eskofier Christopher Mutschler OffRL 22 5 0 16 Mar 2022
Explainability for identification of vulnerable groups in machine learning models Inga Strümke Marija Slavkovik FaML 25 3 0 01 Mar 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 36 15 0 27 Jan 2022