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--- xrai:start [2024/08/26 11:00] – [Keynote] sbk
+++ xrai:start [2024/09/20 07:40] (current) – [Workshop Schedule] sbk
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 The 1st edition of X-RAI will be at the [[https://2024.ecmlpkdd.org/|ECML-PKDD 2024]] conference.
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-===== Tentative Tutorial Schedule =====
+==== Keynote Speaker ====
-  - Introduction
-  - AI for industrial applications(45m)
-    - Predictive maintenance
-    - Optimizations of operations
-    - Decision support
-  - Explainable AI including types of Explanations and evaluations (50m)
-  -  Robustness for ML (40m)
-  - Use Cases (60m)
-    - Metro Trains
-    - Commercial Vehicles
-    - Steel Plant
-  - Discussion and Open Questions (10m)
-===== Workshop ======
-==== Important Dates ====
-   * **Submission Deadline**:  <del>2024-06-15</del> 2024-06-22
-   * **Author Notification**: 2024-07-15
-   * **Cemera Ready**: 2024-07-29
-   * **Workshop Date**: 2024-09-13
-==== Keynote ====
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+===== Tutorial Schedule =====
+^ Time          ^ Topic                                                                       ^
+| 09:00 - 09:10 | Introduction                                                                |
+| 09:10 - 10:10 | AI for Industrial Applications such as Predictive Maintenance                |
+| 10:10 - 11:00 | Explainable AI, including Types of Explanations and Evaluations              |
+^^
+| 11:00 - 11:20 | Break                                                                       |
+^^
+| 11:20 - 11:50 | Robustness in Machine Learning                                               |
+| 11:50 - 12:20 | Metro Train Use Case and Neurosymbolic Explanation                           |
+| 12:20 - 12:35 | Steel Plant Use Case                                                        |
+| 12:35 - 12:50 | Commercial Vehicle Use Case                                                 |
+| 12:50 - 13:00 | Discussion and Open Questions                                                |
+==== Workshop Schedule ====
+The workshop will take place on Friday, 13th of September 2024.
+^Time^Title^Speaker^
+| 14:00-14:50 |**Keynote: Use of Explainable AI in Telcom domain**| Rafia Inam|
+^^
+| 14:50-15:00 | **Break**||
+^^
+| 15:00-15:20 | **Edge-MixShap: Shapley Value Attributed Explainable and Robust Model for Cardiovascular Disease Classification Using Electrocardiogram** | Arijit Ukil |
+| 15:20-15:40 | **A SAT-based approach to rigorous verification of Bayesian networks** |Ignacy Stępka|
+| 15:40-16:00 | **Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles** | Yuantao Fan|
+===== Workshop information ======
+==== Important Dates ====
+   * **Submission Deadline**:  <del>2024-06-15</del> 2024-06-22
+   * **Author Notification**: 2024-07-15
+   * **Cemera Ready**: 2024-07-29
+   * **Workshop Date**: 2024-09-13
-==== Accepted Papers ====
-  * Edge-MixShap: Shapley Value Attributed Explainable and Robust Model for Cardiovascular Disease Classification Using Electrocardiogram
-  * A SAT-based approach to rigorous verification of Bayesian networks
-  * Forecasting Auxiliary Energy Consumption for Electric Heavy-Duty Vehicles
 ==== Aims and Scope ====
 The X-RAI tutorial & workshop aims to bring industrial AI professionals together with explainability experts to discuss the latest developments in XAI and their practical applications as well as theoretical works aiming at solving real-life problems in industrial settings. The tutorial & workshop will provide an opportunity for attendees to learn about the latest research, best practices, and challenges in this area. It is an opportunity to bridge researchers and engineers to discuss emerging topics and the newest trends. The integration of explainability in Industry 4.0 and 5.0 is crucial to ensure AI systems' reliability, trustworthiness, transparency and robustness.