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Publication search results
found 37 matches
- 2023
- Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Strategies to Exploit XAI to Improve Classification Systems. xAI (1) 2023: 147-159 - Carlo Abrate, Giulia Preti, Francesco Bonchi:
Counterfactual Explanations for Graph Classification Through the Lenses of Density. xAI (1) 2023: 324-348 - José Luis Corcuera Bárcena, Pietro Ducange, Francesco Marcelloni, Alessandro Renda, Fabrizio Ruffini:
Federated Learning of Explainable Artificial Intelligence Models for Predicting Parkinson's Disease Progression. xAI (1) 2023: 630-648 - Deborah Baum, Kevin Baum, Timo P. Gros, Verena Wolf:
XAI Requirements in Smart Production Processes: A Case Study. xAI (1) 2023: 3-24 - Isacco Beretta, Martina Cinquini:
The Importance of Time in Causal Algorithmic Recourse. xAI (1) 2023: 283-298 - Kristin Blesch, Marvin N. Wright, David S. Watson:
Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values. xAI (1) 2023: 131-146 - Maria Carla Calzarossa, Paolo Giudici, Rasha Zieni:
Explainable Machine Learning for Bag of Words-Based Phishing Detection. xAI (1) 2023: 531-543 - Oleksandr Davydko, Vladimir Pavlov, Luca Longo:
Selecting Textural Characteristics of Chest X-Rays for Pneumonia Lesions Classification with the Integrated Gradients XAI Attribution Method. xAI (1) 2023: 671-687 - Jean Dessain, Nora Bentaleb, Fabien Vinas:
Cost of Explainability in AI: An Example with Credit Scoring Models. xAI (1) 2023: 498-516 - Fatima Ezzeddine, Omran Ayoub, Davide Andreoletti, Silvia Giordano:
SAC-FACT: Soft Actor-Critic Reinforcement Learning for Counterfactual Explanations. xAI (1) 2023: 195-216 - Kary Främling:
Feature Importance versus Feature Influence and What It Signifies for Explainable AI. xAI (1) 2023: 241-259 - Timo Freiesleben, Gunnar König:
Dear XAI Community, We Need to Talk! - Fundamental Misconceptions in Current XAI Research. xAI (1) 2023: 48-65 - Valentina Ghidini:
The Xi Method: Unlocking the Mysteries of Regression with Statistics. xAI (1) 2023: 97-114 - Paolo Giudici, Emanuela Raffinetti:
Lorenz Zonoids for Trustworthy AI. xAI (1) 2023: 517-530 - Sarah Holm, Luís Macedo:
The Accuracy and Faithfullness of AL-DLIME - Active Learning-Based Deterministic Local Interpretable Model-Agnostic Explanations: A Comparison with LIME and DLIME in Medicine. xAI (1) 2023: 582-605 - Jingyu Hu, Yizhu Liang, Weiyu Zhao, Kevin McAreavey, Weiru Liu:
An Interactive XAI Interface with Application in Healthcare for Non-experts. xAI (1) 2023: 649-670 - Avleen Malhi, Vlad Apopei, Kary Främling:
Understanding Unsupervised Learning Explanations Using Contextual Importance and Utility. xAI (1) 2023: 606-617 - Avleen Malhi, Kary Främling:
An Evaluation of Contextual Importance and Utility for Outcome Explanation of Black-Box Predictions for Medical Datasets. xAI (1) 2023: 544-557 - Jakob Mannmeusel, Mario Rothfelder, Samaneh Khoshrou:
Speeding Things Up. Can Explainability Improve Human Learning? xAI (1) 2023: 66-84 - Ettore Mariotti, Adarsa Sivaprasad, Jose Maria Alonso-Moral:
Beyond Prediction Similarity: ShapGAP for Evaluating Faithful Surrogate Models in XAI. xAI (1) 2023: 160-173 - Dimitry Mindlin, Malte Schilling, Philipp Cimiano:
ABC-GAN: Spatially Constrained Counterfactual Generation for Image Classification Explanations. xAI (1) 2023: 260-282 - Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl:
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. xAI (1) 2023: 456-479 - Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier:
iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. xAI (1) 2023: 177-194 - Chiara Natali, Lorenzo Famiglini, Andrea Campagner, Giovanni Andrea La Maida, Enrico Gallazzi, Federico Cabitza:
Color Shadows 2: Assessing the Impact of XAI on Diagnostic Decision-Making. xAI (1) 2023: 618-629 - Meike Nauta, Christin Seifert:
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers. xAI (1) 2023: 397-420 - Labhaoise NíFhaoláin, Andrew Hines, Vivek Nallur:
Statutory Professions in AI Governance and Their Consequences for Explainable AI. xAI (1) 2023: 85-96 - Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro:
Sanity Checks for Saliency Methods Explaining Object Detectors. xAI (1) 2023: 438-455 - Minal Suresh Patil, Kary Främling:
Do Intermediate Feature Coalitions Aid Explainability of Black-Box Models? xAI (1) 2023: 115-130 - Marcel Robeer, Floris Bex, Ad Feelders, Henry Prakken:
Explaining Model Behavior with Global Causal Analysis. xAI (1) 2023: 299-323 - Justus Sagemüller, Olivier Verdier:
Ablation Path Saliency. xAI (1) 2023: 349-372
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