xAI (2)

Keyphrases

Publications

2023

Alan Perotti, Simone Bertolotto, Eliana Pastor, André Panisson
Beyond One-Hot-Encoding: Injecting Semantics to Drive Image Classifiers. xAI (2) (2023)
Mohamed Karim Belaid, Richard Bornemann, Maximilian Rabus, Ralf Krestel, Eyke Hüllermeier
Compare-xAI: Toward Unifying Functional Testing Methods for Post-hoc XAI Algorithms into a Multi-dimensional Benchmark. xAI (2) (2023)
Leonardo Arrighi, Sylvio Barbon Junior, Felice Andrea Pellegrino, Michele Simonato, Marco Zullich
Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly? xAI (2) (2023)
Claudio Borile, Alan Perotti, André Panisson
Evaluating Link Prediction Explanations for Graph Neural Networks. xAI (2) (2023)
Javier Jiménez Raboso, Antonio Manjavacas, Alejandro Campoy-Nieves, Miguel Molina-Solana, Juan Gómez-Romero
Explaining Deep Reinforcement Learning-Based Methods for Control of Building HVAC Systems. xAI (2) (2023)
Jonas Teufel, Luca Torresi, Pascal Friederich
Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies. xAI (2) (2023)
Christophe Labreuche, Roman Bresson
Necessary and Sufficient Explanations of Multi-Criteria Decision Aiding Models, with and Without Interacting Criteria. xAI (2) (2023)
Md Shajalal, Sebastian Denef, Md. Rezaul Karim, Alexander Boden, Gunnar Stevens
Unveiling Black-Boxes: Explainable Deep Learning Models for Patent Classification. xAI (2) (2023)
Danilo Cavaliere, Mariacristina Gallo, Claudio Stanzione
Propaganda Detection Robustness Through Adversarial Attacks Driven by eXplainable AI. xAI (2) (2023)
Laura State, Hadrien Salat, Stefania Rubrichi, Zbigniew Smoreda
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal. xAI (2) (2023)
Thales Bertaglia, Stefan Huber, Catalina Goanta, Gerasimos Spanakis, Adriana Iamnitchi
Closing the Loop: Testing ChatGPT to Generate Model Explanations to Improve Human Labelling of Sponsored Content on Social Media. xAI (2) (2023)
Arthur Picard, Yazan Mualla, Franck Gechter, Stéphane Galland
Human-Computer Interaction and Explainability: Intersection and Terminology. xAI (2) (2023)
Eli Laird, Ayesh Madushanka, Elfi Kraka, Corey Clark
XInsight: Revealing Model Insights for GNNs with Flow-Based Explanations. xAI (2) (2023)
Daniel Gierse, Felix Neubürger, Thomas Kopinski
A Novel Architecture for Robust Explainable AI Approaches in Critical Object Detection Scenarios Based on Bayesian Neural Networks. xAI (2) (2023)
Kirill Bykov, Laura Kopf, Marina M.-C. Höhne
Finding Spurious Correlations with Function-Semantic Contrast Analysis. xAI (2) (2023)
Luca Corbucci, Riccardo Guidotti, Anna Monreale
Explaining Black-Boxes in Federated Learning. xAI (2) (2023)
Charles Wan, Rodrigo Belo, Leid Zejnilovic, Susana Lavado
The Duet of Representations and How Explanations Exacerbate It. xAI (2) (2023)
Clara Punzi, Aleksandra Maslennikova, Gizem Gezici, Roberto Pellungrini, Fosca Giannotti
Explaining Socio-Demographic and Behavioral Patterns of Vaccination Against the Swine Flu (H1N1) Pandemic. xAI (2) (2023)
Hongbo Bo, Yiwen Wu, Zinuo You, Ryan McConville, Jun Hong, Weiru Liu
What Will Make Misinformation Spread: An XAI Perspective. xAI (2) (2023)
Martina Cinquini, Fosca Giannotti, Riccardo Guidotti, Andrea Mattei
Handling Missing Values in Local Post-hoc Explainability. xAI (2) (2023)
Roan Schellingerhout, Francesco Barile, Nava Tintarev
A Co-design Study for Multi-stakeholder Job Recommender System Explanations. xAI (2) (2023)
Antonin Poché, Lucas Hervier, Mohamed Chafik Bakkay
Natural Example-Based Explainability: A Survey. xAI (2) (2023)
Jacqueline Höllig, Aniek F. Markus, Jef de Slegte, Prachi Bagave
Semantic Meaningfulness: Evaluating Counterfactual Approaches for Real-World Plausibility and Feasibility. xAI (2) (2023)
Zhangyi Wu, Tim Draws, Federico Cau, Francesco Barile, Alisa Rieger, Nava Tintarev
Explaining Search Result Stances to Opinionated People. xAI (2) (2023)
Francesco Dibitonto, Fabio Garcea, André Panisson, Alan Perotti, Lia Morra
HOLMES: HOLonym-MEronym Based Semantic Inspection for Convolutional Image Classifiers. xAI (2) (2023)
Igor Cherepanov, David Sessler, Alex Ulmer, Hendrik Lücke-Tieke, Jörn Kohlhammer
Towards the Visualization of Aggregated Class Activation Maps to Analyse the Global Contribution of Class Features. xAI (2) (2023)
Xiaowei Liu, Kevin McAreavey, Weiru Liu
Contrastive Visual Explanations for Reinforcement Learning via Counterfactual Rewards. xAI (2) (2023)
Deepan Chakravarthi Padmanabhan, Paul G. Plöger, Octavio Arriaga, Matias Valdenegro-Toro
DExT: Detector Explanation Toolkit. xAI (2) (2023)
Georgii Mikriukov, Gesina Schwalbe, Christian Hellert, Korinna Bade
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability. xAI (2) (2023)
Blerta Abazi Chaushi, Besnik Selimi, Agron Chaushi, Marika Apostolova
Explainable Artificial Intelligence in Education: A Comprehensive Review. xAI (2) (2023)
Erwin Walraven, Ajaya Adhikari, Cor J. Veenman
PERFEX: Classifier Performance Explanations for Trustworthy AI Systems. xAI (2) (2023)
Jonas Teufel, Luca Torresi, Patrick Reiser, Pascal Friederich
MEGAN: Multi-explanation Graph Attention Network. xAI (2) (2023)

volume 1902, 2023

Explainable Artificial Intelligence - First World Conference, xAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part II xAI (2) 1902 (2023)