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| praxai:start2021 [2021/03/04 20:25] – created sbk | praxai:start2021 [2021/10/07 14:41] (current) – [Practical applications of explainable artificial intelligence methods (PRAXAI)] gjn | ||
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| ====== Practical applications of explainable artificial intelligence methods (PRAXAI) ====== | ====== Practical applications of explainable artificial intelligence methods (PRAXAI) ====== | ||
| - | This special session focuses on bringing the research on Explainable | + | **PRAXAI webpage address is [[http:// |
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| + | PRAXAI | ||
| + | Conference on Data Science and Advanced Analytics]] | ||
| Artificial Intelligence (XAI) to actual applications and tools that help | Artificial Intelligence (XAI) to actual applications and tools that help | ||
| to better integrate them as a must-have step in every AI pipeline. | to better integrate them as a must-have step in every AI pipeline. | ||
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| make it easier for AI practitioners to integrate XAI methods into their | make it easier for AI practitioners to integrate XAI methods into their | ||
| daily work. | daily work. | ||
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| + | The PRAXAI 2021 session is related to the [[http:// | ||
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| + | ===== Important Dates ===== | ||
| + | * **Submission Deadline**:< | ||
| + | * **Notification**: | ||
| + | * **Camera Ready Due**: | ||
| + | ===== Call for papers ===== | ||
| + | * {{ : | ||
| + | ===== Submission Instructions ===== | ||
| + | |||
| + | Papers (maximum of ten (10) pages) can be submitted through CMT: https:// | ||
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| + | Submissions to this special session strictly follow the same specifications, | ||
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| + | Papers must be submitted in PDF according to the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: https:// | ||
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| + | All submissions will be double blind reviewed on the basis of technical quality, relevance to the special session' | ||
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| + | Attendance: At least one author of each accepted paper must register in full and attend the conference to present the paper. No-show papers will be removed from the IEEE Xplore proceedings. See the DSAA 2021 registration page for details. | ||
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| * XAI software development and its integration into popular ML/DL libraries | * XAI software development and its integration into popular ML/DL libraries | ||
| + | ===== Program Committee (tentative) ===== | ||
| + | * Javier del Ser, Tecnalia, Spain | ||
| + | * Eneko Osaba, Tecnalia, Spain | ||
| + | * Ricardo Aler, Universidad Carlos III de Madrid, Spain | ||
| + | * Benslimane Djamal, Lyon 1 University, France | ||
| + | * Boyan Xu, Guangdong University of Technology, China | ||
| + | * Juan Pavón, Universidad Complutense de Madrid | ||
| + | * Héctor Menéndez, Middlesex University London, UK | ||
| + | * Gema Bello, Universidad Politécnica de Madrid, Spain | ||
| + | * Angel Panizo, Universidad Politécnica de Madrid, Spain | ||
| + | * Alejandro Martín, Universidad Politécnica de Madrid, Spain | ||
| + | * Javier Huertas, Universidad Politécnica de Madrid, Spain | ||
| + | * Cristian Ramirez, Universidad Politécnica de Madrid, Spain | ||
| + | * Martin Atzmueller, Universitat Osnabruck, Germany | ||
| + | * Kacper Sokol, University of Bristol, UK | ||
| + | * Sławomir Nowaczyk, Halmstad University, Sweden | ||
| + | * Jerzy Stefanowski, | ||
| + | * Jose Palma, University of Murcia, Spain | ||
| + | * Michal Choras, UTP University of Science and Technology, Poland | ||
| + | * Boguslaw Cyganek, AGH University of Science and Technology in Krakow, Poland | ||
| + | |||
| + | |||
| + | ===== Organizers ===== | ||
| + | * Victor Rodriguez-Fernandez < | ||
| + | * Szymon Bobek < | ||
| + | * David Camacho < | ||
| + | * Grzegorz J. Nalepa, < | ||
| + | |||
| + | ===== Papers ===== | ||
| + | The session took place on 07.10.2021, online, 4-5pm CET | ||
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| + | * // | ||
| + | * // | ||
| + | * // | ||
| + | * // | ||