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praxai:start [2022/03/10 09:10] – [Aim and scope] sbk | praxai:start [2023/04/11 07:29] – [Important Dates] sbk | ||
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**PRAXAI webpage address is [[http:// | **PRAXAI webpage address is [[http:// | ||
- | PRAXAI | + | PRAXAI |
Conference on Data Science and Advanced Analytics]] focuses on bringing the research on Explainable | Conference on Data Science and Advanced Analytics]] focuses on bringing the research on Explainable | ||
Artificial Intelligence (XAI) to actual applications and tools that help | Artificial Intelligence (XAI) to actual applications and tools that help | ||
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daily work. | daily work. | ||
- | The PRAXAI | + | The PRAXAI |
===== Important Dates ===== | ===== Important Dates ===== | ||
- | * **Submission Deadline**: | + | * **Submission Deadline**: |
- | * **Notification**: | + | * **Notification**: |
- | * **Camera Ready Due**: | + | * **Camera Ready Due**: August |
+ | * **Conference date:**: October 9-13 | ||
===== Call for papers ===== | ===== Call for papers ===== | ||
- | * TBA | + | * {{ : |
+ | |||
===== Submission Instructions ===== | ===== Submission Instructions ===== | ||
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Authors are also encouraged to submit supplementary materials, i.e., providing the source code and data through a GitHub-like public repository to support the reproducibility of their research results. | Authors are also encouraged to submit supplementary materials, i.e., providing the source code and data through a GitHub-like public repository to support the reproducibility of their research results. | ||
- | Electronic submission site: https://cmt3.research.microsoft.com/DSAA2022 | + | Electronic submission site: [[https://easychair.org/my/conference? |
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===== Topics of interest ===== | ===== Topics of interest ===== | ||
+ | * Industry 4.0/5.0 and XAI | ||
* Model explanations verbalized in human-comprehensible natural language | * Model explanations verbalized in human-comprehensible natural language | ||
* Explainable Reinforcement learning | * Explainable Reinforcement learning | ||
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* Visualization of model explanations for different types of data apart from language and images (tabular data, time series, graphs, etc.) | * Visualization of model explanations for different types of data apart from language and images (tabular data, time series, graphs, etc.) | ||
* XAI software development and its integration into popular ML/DL libraries | * XAI software development and its integration into popular ML/DL libraries | ||
+ | * Fairness and XAI | ||
+ | * Ethics and XAI | ||
+ | * Trust in XAI systems | ||
+ | * XAI in real-world applications: | ||
+ | |||
===== Program Committee (tentative) ===== | ===== Program Committee (tentative) ===== | ||
+ | * Javier del Ser, Tecnalia | ||
+ | * Ricardo Aler, Universidad Carlos III de Madrid | ||
+ | * Felix José Fuentes Hurtado, Universidad Politécnica de Valencia | ||
+ | * Juan Pavón, Universidad Complutense de Madrid | ||
+ | * Francesco Piccialli, University of Naples Federico II | ||
+ | * Salvatore Cuomo, University of Naples Federico II | ||
+ | * Edoardo Prezioso, University of Naples Federico II | ||
+ | * Federico Gatta, University of Naples Federico II | ||
+ | * Fabio Giampaolo, University of Naples Federico II | ||
+ | * Stefano Izzo, University of Naples Federico II | ||
+ | * Martin Atzmueller, Universitat Osnabruck | ||
+ | * Kacper Sokół, University of Bristol | ||
+ | * Sławomir Nowaczyk, Halmstad University | ||
+ | * Michal Choras, UTP University of Science and Technology | ||
+ | * Boguslaw Cyganek, AGH University of Science and Technology in Krakow | ||
+ | * Timos Kipouros, University of Cambridge | ||
+ | * Jerzy Stefanowski, | ||
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+ | |||
+ | ===== Past events ===== | ||
+ | * [[praxai: | ||
+ | * [[praxai: | ||