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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:// |
+ | |||
+ | 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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+ | ===== Important Dates ===== | ||
+ | * **Submission Deadline**: May 23, 2021 | ||
+ | * **Notification**: | ||
+ | * **Camera Ready Due**: | ||
+ | ===== Submission Instructions ===== | ||
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+ | 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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* Visualization of model explanations for different types of data apart from language and images (tabular data, time series, graphs…) | * Visualization of model explanations for different types of data apart from language and images (tabular data, time series, graphs…) | ||
* XAI software development and its integration into popular ML/DL libraries | * XAI software development and its integration into popular ML/DL libraries | ||
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+ | ===== Organizers ===== | ||
+ | * Victor Rodriguez-Fernandez < | ||
+ | * Szymon Bobek < | ||
+ | * David Camacho < | ||
+ | * Grzegorz J. Nalepa, < | ||
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