xAI (Late-breaking Work, Demos, Doctoral Consortium)

Keyphrases

Publications

2023

Ricardo Anibal Matamoros Aragon, Italo Zoppis, Sara Manzoni
When Attention Turn To Be Explanation. A Case Study in Recommender Systems. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Taufique Ahmed, Luca Longo
Latent Space Interpretation and Visualisation for Understanding the Decisions of Convolutional Variational Autoencoders Trained with EEG Topographic Maps. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Tessel Haagen, Heysem Kaya, Joop Snijder, Melchior Nierman
AutoXplain: Towards Automated Interpretable Model Selection. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
German Magai, Artem Soroka
Explaining the Transfer Learning Ability of a Deep Neural Networks by Means of Representations. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Marta Marchiori Manerba
Fairness Auditing, Explanation and Debiasing in Linguistic Data and Language Models. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Franca Corradini
Probabilistic Modelling for Design and Verification of Trustworthy Autonomous Systems. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Iván Sevillano-García, Julián Luengo, Francisco Herrera
Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Mozhgan Salimiparsa, Surajsinh Parmar, San Lee, Choongmin Kim, Yonghwan Kim, Jang Yong Kim
Investigating Poor Performance Regions of Black Boxes: LIME-based Exploration in Sepsis Detection. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Björn Forcher, Patrick Menold, Moritz Weixler, Jörg Schmitt, Samuel Wagner
Evaluation of Explainable AI methods for Classification Tasks in Visual Inspection. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Mert Keser
Real-Time Explainable Plausibility Verification for DNN-based Automotive Perception. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Marija Kopanja, Sanja Brdar, Stefan Hacko
Uncovering Decision-making Process of Cost-sensitive Tree-based Classifiers using the Adaptation of TreeSHAP. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Meng Shi, Celal Savur, Elizabeth Watkins, Ramesh Manuvinakurike, Gesem Gudino Mejia, Richard Beckwith, Giuseppe Raffa
An Explainable AI User Interface for Facilitating Collaboration between Domain Experts and AI Researchers. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Bahram Salamat Ravandi
Personalized Human-Robot Interaction in Companion Social Robots. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Ana Bucchi, Gabriel M. Fonseca
Is the Common Approach used to Identify Social Biases in Artificial Intelligence also Biased? xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Kristýna Sirka Kacafírková, Sara Polak, Myriam Sillevis Smitt, Shirley A. Elprama, An Jacobs
Trustworthy Enough? Evaluation of an AI Decision Support System for Healthcare Professionals. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Kira Vinogradova, Gene Myers
Local Interpretable Model-Agnostic Explanations for Multitarget Image Regression. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Giulia Vilone, Luca Longo
An Examination of the Effect of the Inconsistency Budget in Weighted Argumentation Frameworks and their Impact on the Interpretation of Deep Neural Networks. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Andrea Fedele
Explain and Interpret Few-Shot Learning. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Berkant Turan
Extending Merlin-Arthur Classifiers for Improved Interpretability. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
José Luis Corcuera Bárcena, Mattia Daole, Pietro Ducange, Francesco Marcelloni, Giovanni Nardini, Alessandro Renda, Giovanni Stea
Federated Learning of Explainable Artificial Intelligence Models: A Proof-of-Concept for Video-streaming Quality Forecasting in B5G/6G networks. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Sofia Morandini, Federico Fraboni, Gabriele Puzzo, Davide Giusino, Lucia Volpi, Hannah Brendel, Enzo Balatti, Marco de Angelis, Andrea De Cesarei, Luca Pietrantoni
Examining the Nexus between Explainability of AI Systems and User's Trust: A Preliminary Scoping Review. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Isacco Beretta, Eleonora Cappuccio, Marta Marchiori Manerba
User-Driven Counterfactual Generator: A Human Centered Exploration. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Aurelio Barrera-Vicent, Eduardo Paluzo-Hidalgo, Miguel A. Gutiérrez-Naranjo
The Metric-aware Kernel-width Choice for LIME. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Luca Longo
Preface. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Oleksandr Davydko
Lung images Classification with Textural Characteristics and Hybrid Classification Schemes. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Luca Heising
Accelerating Implementation of Artificial Intelligence in Radiotherapy through Explainability. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa
Why Industry 5.0 Needs XAI 2.0? xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Anubhav Bhatti, Naveen Thangavelu, Marium Hassan, Choongmin Kim, San Lee, Yonghwan Kim, Jang Yong Kim
Interpreting Forecasted Vital Signs Using N-BEATS in Sepsis Patients. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Anna Theresa Stüber, Stefan Coors, Michael Ingrisch
Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Robert S. Sullivan, Luca Longo
Optimizing Deep Q-Learning Experience Replay with SHAP Explanations: Exploring Minimum Experience Replay Buffer Sizes in Reinforcement Learning. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Gargi Gupta
Post Hoc Explanations for RNNs using State Transition Representations for Time Series Data. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Arjun Vinayak Chikkankod
Deep Clustering as a Unified Method for Representation Learning and Clustering of EEG Data for Microstate Theory. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Ivania Donoso-Guzmán
Designing an Evaluation Framework for eXplainable AI in the Healthcare Domain. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Florian Osswald, Roman Bartolosch, Torsten Fiolka, Engelbert Hartmann, Bernhard Krach, Jan Feil, Martin Lederer
FCAS Ethical AI Demonstrator. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
José Diogo Marques dos Santos, José Paulo Marques dos Santos
Explaining ANN-modeled fMRI Data with Path-Weights and Layer-Wise Relevance Propagation. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Alberto Termine, Alessandro Antonucci, Alessandro Facchini
Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo). xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Swati Sachan, Jericho Muwanga
Integration of Explainable Deep Neural Network with Blockchain Technology: Medical Indemnity Insurance. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Martin Jullum, Jacob Sjødin, Robindra Prabhu, Anders Løland
eXplego: An interactive Tool that Helps you Select Appropriate XAI-methods for your Explainability Needs. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Ephrem Tibebe Mekonnen, Pierpaolo Dondio, Luca Longo
Explaining Deep Learning Time Series Classification Models using a Decision Tree-Based Post-Hoc XAI Method. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Nicoletta Prentzas
Argumentation-based Explainable Machine Learning ArgEML: α-Version Technical Details. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)
Felix Liedeker, Philipp Cimiano
A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations. xAI (Late-breaking Work, Demos, Doctoral Consortium) (2023)

volume 3554, 2023

Joint Proceedings of the xAI-2023 Late-breaking Work, Demos and Doctoral Consortium co-located with the 1st World Conference on eXplainable Artificial Intelligence (xAI-2023), Lisbon, Portugal, July 26-28, 2023. xAI (Late-breaking Work, Demos, Doctoral Consortium) 3554 (2023)