• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 42 matches

• 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: 65-70
• 
  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: 129-134
• 
  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: 164-168
• 
  Aurelio Barrera-Vicent, Eduardo Paluzo-Hidalgo, Miguel Angel Gutiérrez-Naranjo:
  The Metric-aware Kernel-width Choice for LIME. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 117-122
• 
  Isacco Beretta, Eleonora Cappuccio, Marta Marchiori Manerba:
  User-Driven Counterfactual Generator: A Human Centered Exploration. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 83-88
• 
  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: 12-17
• 
  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: 1-6
• 
  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: 42-46
• 
  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: 177-184
• 
  Franca Corradini:
  Probabilistic Modelling for Design and Verification of Trustworthy Autonomous Systems. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 169-176
• 
  Oleksandr Davydko:
  Lung images Classification with Textural Characteristics and Hybrid Classification Schemes. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 225-232
• 
  Ivania Donoso-Guzmán:
  Designing an Evaluation Framework for eXplainable AI in the Healthcare Domain. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 201-208
• 
  Andrea Fedele:
  Explain and Interpret Few-Shot Learning. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 233-240
• 
  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: 77-82
• 
  Gargi Gupta:
  Post Hoc Explanations for RNNs using State Transition Representations for Time Series Data. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 249-255
• 
  Tessel Haagen, Heysem Kaya, Joop Snijder, Melchior Nierman:
  AutoXplain: Towards Automated Interpretable Model Selection. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 18-23
• 
  Luca Heising:
  Accelerating Implementation of Artificial Intelligence in Radiotherapy through Explainability. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 217-224
• 
  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: 146-151
• 
  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: 7-11
• 
  Mert Keser:
  Real-Time Explainable Plausibility Verification for DNN-based Automotive Perception. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 185-192
• 
  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: 95-100
• 
  Felix Liedeker, Philipp Cimiano:
  A Prototype of an Interactive Clinical Decision Support System with Counterfactual Explanations. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 36-41
• 
  Luca Longo:
  Preface. 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: 101-106
• 
  Marta Marchiori Manerba:
  Fairness Auditing, Explanation and Debiasing in Linguistic Data and Language Models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 241-248
• 
  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: 71-76
• 
  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: 30-35
• 
  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: 152-157
• 
  Nicoletta Prentzas:
  Argumentation-based Explainable Machine Learning ArgEML: α-Version Technical Details. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 158-163
• 
  Bahram Salamat Ravandi:
  Personalized Human-Robot Interaction in Companion Social Robots. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 209-216

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