default search action
xAI 2023: Lisbon, Portugal
- Luca Longo
:
Explainable Artificial Intelligence - First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I. Communications in Computer and Information Science 1901, Springer 2023, ISBN 978-3-031-44063-2
Interdisciplinary Perspectives, Approaches and Strategies for xAI
- Deborah Baum, Kevin Baum
XAI Requirements in Smart Production Processes: A Case Study. 3-24 - Francesco Sovrano
Perlocution vs Illocution: How Different Interpretations of the Act of Explaining Impact on the Evaluation of Explanations and XAI. 25-47 - Timo Freiesleben, Gunnar König:
Dear XAI Community, We Need to Talk! - Fundamental Misconceptions in Current XAI Research. 48-65 - Jakob Mannmeusel
Speeding Things Up. Can Explainability Improve Human Learning? 66-84 - Labhaoise NíFhaoláin
Statutory Professions in AI Governance and Their Consequences for Explainable AI. 85-96 - Valentina Ghidini:
The Xi Method: Unlocking the Mysteries of Regression with Statistics. 97-114 - Minal Suresh Patil
Do Intermediate Feature Coalitions Aid Explainability of Black-Box Models? 115-130 - Kristin Blesch
Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values. 131-146 - Andrea Apicella
Strategies to Exploit XAI to Improve Classification Systems. 147-159 - Ettore Mariotti
Beyond Prediction Similarity: ShapGAP for Evaluating Faithful Surrogate Models in XAI. 160-173
Model-Agnostic Explanations, Methods and Techniques for xAI, Causality and Explainable AI
- Maximilian Muschalik
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. 177-194 - Fatima Ezzeddine, Omran Ayoub
SAC-FACT: Soft Actor-Critic Reinforcement Learning for Counterfactual Explanations. 195-216 - Christian A. Scholbeck
Algorithm-Agnostic Feature Attributions for Clustering. 217-240 - Kary Främling
Feature Importance versus Feature Influence and What It Signifies for Explainable AI. 241-259 - Dimitry Mindlin
ABC-GAN: Spatially Constrained Counterfactual Generation for Image Classification Explanations. 260-282 - Isacco Beretta
The Importance of Time in Causal Algorithmic Recourse. 283-298 - Marcel Robeer
Explaining Model Behavior with Global Causal Analysis. 299-323 - Carlo Abrate
Counterfactual Explanations for Graph Classification Through the Lenses of Density. 324-348 - Justus Sagemüller
Ablation Path Saliency. 349-372 - Pedro Sequeira
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit Based on Analyses of Interestingness. 373-396 - Meike Nauta
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers. 397-420 - Laura State
Reason to Explain: Interactive Contrastive Explanations (REASONX). 421-437 - Deepan Chakravarthi Padmanabhan
Sanity Checks for Saliency Methods Explaining Object Detectors. 438-455 - Christoph Molnar
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. 456-479
Explainable AI in Finance, Cybersecurity, Health-Care and Biomedicine
- Julian Tritscher, Maximilian Wolf, Andreas Hotho, Daniel Schlör:
Evaluating Feature Relevance XAI in Network Intrusion Detection. 483-497 - Jean Dessain
Cost of Explainability in AI: An Example with Credit Scoring Models. 498-516 - Paolo Giudici
Lorenz Zonoids for Trustworthy AI. 517-530 - Maria Carla Calzarossa
Explainable Machine Learning for Bag of Words-Based Phishing Detection. 531-543 - Avleen Malhi, Kary Främling:
An Evaluation of Contextual Importance and Utility for Outcome Explanation of Black-Box Predictions for Medical Datasets. 544-557 - Lisa Anita De Santi
Evaluating Explanations of an Alzheimer's Disease 18F-FDG Brain PET Black-Box Classifier. 558-581 - Sarah Holm
The Accuracy and Faithfullness of AL-DLIME - Active Learning-Based Deterministic Local Interpretable Model-Agnostic Explanations: A Comparison with LIME and DLIME in Medicine. 582-605 - Avleen Malhi, Vlad Apopei, Kary Främling:
Understanding Unsupervised Learning Explanations Using Contextual Importance and Utility. 606-617 - Chiara Natali
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making. 618-629 - José Luis Corcuera Bárcena
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression. 630-648 - Jingyu Hu
An Interactive XAI Interface with Application in Healthcare for Non-experts. 649-670 - Oleksandr Davydko
Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method. 671-687
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-11-15 19:20 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: