Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
xrai:start [2024/05/29 07:14] – [Submission details] sbk | xrai:start [2024/09/20 07:40] (current) – [Workshop Schedule] sbk | ||
---|---|---|---|
Line 4: | Line 4: | ||
The 1st edition of X-RAI will be at the [[https:// | The 1st edition of X-RAI will be at the [[https:// | ||
+ | |||
+ | |||
+ | |||
===== Organizers ===== | ===== Organizers ===== | ||
- | * Sepideh Pashami, Halmstad University, Sweden, sepideh.pashami@hh.se | + | * Sepideh Pashami, Halmstad University |
* Joao Gama, University of Porto, Porto, Portugal, jgama@fep.up.pt | * Joao Gama, University of Porto, Porto, Portugal, jgama@fep.up.pt | ||
* Bruno Veloso, University of Porto, Porto, Portugal, bveloso@gmail.com | * Bruno Veloso, University of Porto, Porto, Portugal, bveloso@gmail.com | ||
Line 13: | Line 16: | ||
* Szymon Bobek, Jagiellonian University, Krakow, Poland, szymon.bobek@uj.edu.pl | * Szymon Bobek, Jagiellonian University, Krakow, Poland, szymon.bobek@uj.edu.pl | ||
- | ===== Important Dates ===== | + | {{: |
- | * **Submission Deadline**: 2024-06-15 | + | {{: |
+ | |||
+ | ==== Keynote Speaker ==== | ||
+ | <WRAP column 15%> | ||
+ | |||
+ | </ | ||
+ | {{: | ||
+ | <WRAP column 75%> | ||
+ | |||
+ | **Speaker**: | ||
+ | |||
+ | **Title**: Use of Explainable AI in Telcom domain | ||
+ | |||
+ | |||
+ | **Biogram**: | ||
+ | Rafia Inam is a senior research manager at Ericsson Research and Adjunct Professor at KTH in research area Trustworthy Artificial Intelligence, | ||
+ | |||
+ | Rafia received her Ph.D. from Mälardalen University, Sweden, in 2014 on predictable real-time embedded software. She is a Program Committee member, referee, guest editor for several international conferences and journals. Rafia has co-authored 40+ refereed scientific publications and 55+ patent families. She has wonbest paper awards on her two papers: “Towards automated service-oriented lifecycle management for 5G networks”, | ||
+ | </ | ||
+ | <WRAP clear></ | ||
+ | |||
+ | ===== 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: | ||
+ | | 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**: | ||
* **Author Notification**: | * **Author Notification**: | ||
- | ===== Call for papers ===== | + | * **Cemera Ready**: 2024-07-29 |
- | TBA | + | * **Workshop Date**: 2024-09-13 |
+ | |||
+ | |||
- | ===== Aims and Scope ===== | + | ==== 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' | 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' | ||
Although in X-RAI we focus mainly on Industrial applications, | Although in X-RAI we focus mainly on Industrial applications, | ||
Line 64: | Line 120: | ||
- | ===== Program Committee (tentative) | + | ==== Program Committee (tentative) ==== |
* Javier, del Ser, | * Javier, del Ser, | ||
* Ricardo, Aler, | * Ricardo, Aler, | ||
Line 90: | Line 146: | ||
- | ===== Submission details | + | |
+ | ==== Submission details ==== | ||
Please use the following link to submit your paper: [[https:// | Please use the following link to submit your paper: [[https:// | ||
- | The Workshops and Tutorials will be included in a joint Post-Workshop proceeding published by Springer Communications in Computer and Information Science, in 1-2 volumes, organised by focused scope and possibly indexed by WOS. Papers authors will have the faculty to opt-in or opt-out. We suggest workshop papers are prepared and submitted in the format: [[https://resource-cms.springernature.com/springer-cms/rest/v1/ | + | The Workshops and Tutorials will be included in a joint Post-Workshop proceeding published by Springer Communications in Computer and Information Science, in 1-2 volumes, organised by focused scope and possibly indexed by WOS. Papers authors will have the faculty to opt-in or opt-out. We suggest workshop papers are prepared and submitted in the format: [[https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines|LNCS format]]. |
+ | |||
+ | Full papers should follow the Springer format of regular ECML submissions and be no longer than 16 pages (including references). | ||
+ | |||
+ | Following ECML review process, we will apply a double-blind review-process (author identities are not known by reviewers or area chairs; reviewers do see each other’s names). All papers need to be ‘best-effort’ anonymized. Papers must not include identifying information of the authors (names, affiliations, | ||