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| praxai:start [2022/10/24 12:23] – [Program] sbk | praxai:start [2023/08/02 06:29] (current) – [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 | ||
| Line 17: | Line 17: | ||
| daily work. | daily work. | ||
| - | The PRAXAI | + | The PRAXAI |
| ===== Important Dates ===== | ===== Important Dates ===== | ||
| - | * **Submission Deadline**: <del>June 1, 2022</ | + | * **Submission Deadline**: <del>May 2</ |
| - | * **Notification**: | + | * **Notification**: |
| - | * **Camera Ready Due**: | + | * **Camera Ready Due**: < |
| + | * **Conference date**: October 9-13 | ||
| ===== Call for papers ===== | ===== Call for papers ===== | ||
| - | * {{ : | + | * {{ : |
| - | ===== Program ===== | ||
| - | Zoom Link: [[https:// | ||
| - | PRAXAI Session A: 14:00-15:20 (CET) Session Chair: dr Szymon Bobek: | ||
| - | - **Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees** \\ // | ||
| - | - Video: [[https:// | ||
| - | - **SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP** \\ // | ||
| - | - Video: [[https:// | ||
| - | - **Abstract Argumentation for Explainable Satellite Scheduling** \\ //Powell, Cheyenne; Riccardi, Annalisa// | ||
| - | - Wideo: [[https:// | ||
| - | - **Explaining Human Activities Instances Using Deep Learning Classifiers** \\ //Arrotta, Luca; Civitarese, Gabriele; Fiori, Michele; Bettini, Claudio// | ||
| - | - Wideo: [[https:// | ||
| - | |||
| - | Break (10 minutes) | ||
| - | |||
| - | PRAXAI Session B: 15:30-16:50 (CET) Session Chair: dr Victor Victor Rodriguez-Fernandez: | ||
| - | - **Explainable expected goal models for performance analysis in football analytics** \\ //Cavus, Mustafa; Biecek, Przemyslaw// | ||
| - | - Wideo: [[https:// | ||
| - | - **Why is the prediction wrong? Towards underfitting case explanation via meta-classification** \\ //ZHOU, Sheng; BLANCHART, Pierre; Crucianu, Michel; Ferecatu, Marin// | ||
| - | - **Streamlining models with explanations in the learning loop** \\ //Lomuscio, Francesco; Bajardi, Paolo; Perotti, Alan; Amparore, Elvio// | ||
| - | - **Roll Wear Prediction in Strip Cold Rolling with Physics-Informed Autoencoder and Counterfactual Explanations** \\ // | ||
| ===== Submission Instructions ===== | ===== Submission Instructions ===== | ||
| - | The length of each paper submitted to the Research and Application tracks should be no more than 10 pages, | + | The length of each paper submitted to the Research and Application tracks should be no more than 10 pages, formatted following the standard 2-column U.S. letter style of IEEE Conference template. See the IEEE Proceedings Author Guidelines: http:// |
| All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the scope of the conference, originality, | All submissions will be double-blind reviewed by the Program Committee on the basis of technical quality, relevance to the scope of the conference, originality, | ||
| Line 56: | Line 37: | ||
| 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? |
| Line 74: | Line 55: | ||
| ===== 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 | ||
| Line 88: | Line 69: | ||
| * 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 | * Javier del Ser, Tecnalia | ||
| + | * Eneko Osaba, Tecnalia | ||
| * Ricardo Aler, Universidad Carlos III de Madrid | * Ricardo Aler, Universidad Carlos III de Madrid | ||
| - | * Felix José Fuentes Hurtado, Universidad Politécnica de Valencia | + | * Felix José Fuentes Hurtado, |
| + | * Alejandro Martin, Universidad Politécnica de Madrid, Spain | ||
| + | * Angel Panizo, Universidad Politécnica de Madrid, Spain | ||
| + | * Javier Huertas, Universidad Politécnica de Madrid, Spain | ||
| * Juan Pavón, Universidad Complutense de Madrid | * Juan Pavón, Universidad Complutense de Madrid | ||
| - | * Francesco Piccialli, University of Naples Federico II | + | * Francesco Piccialli, |
| - | * Salvatore Cuomo, University of Naples Federico II | + | * Salvatore Cuomo, |
| - | * Edoardo Prezioso, University of Naples Federico II | + | * Edoardo Prezioso, |
| - | * Federico Gatta, University of Naples Federico II | + | * Federico Gatta, |
| - | * Fabio Giampaolo, University of Naples Federico II | + | * Fabio Giampaolo, |
| - | * Stefano Izzo, University of Naples Federico II | + | * Stefano Izzo, |
| * Martin Atzmueller, Universitat Osnabruck | * Martin Atzmueller, Universitat Osnabruck | ||
| * Kacper Sokół, University of Bristol | * Kacper Sokół, University of Bristol | ||
| * Sławomir Nowaczyk, Halmstad University | * Sławomir Nowaczyk, Halmstad University | ||
| * Michal Choras, UTP University of Science and Technology | * Michal Choras, UTP University of Science and Technology | ||
| - | * Boguslaw | + | * Bogusław |
| * Timos Kipouros, University of Cambridge | * Timos Kipouros, University of Cambridge | ||
| - | * Jerzy Stefanowski, | + | * Jerzy Stefanowski, |
| + | * Hubert Baniecki, Warsaw University, Poland | ||
| + | * Holzinger Andreas, Vienna University, Austria | ||
| + | * Bastian Pfeifer, Medical University of Graz, Austria | ||
| + | * Mustafa Cavuş, Eskisehir Technical University, Turkey | ||
| + | * Giuseppe Casalicchio, | ||
| + | * Dawid Rymarczyk, Jagiellonian University, Poland | ||
| + | * Jacek Tabor, Jagiellonian University, Poland | ||
| + | * Bartosz Zieliński, Jagiellonian University, Poland | ||
| + | * Abraham Duarte, Universidad Rey Juan Carlos I de Madrid, Spain | ||
| + | * Sancho Salcedo Sanz, Universidad de Alcalá de Henares, Madrid, Spain | ||
| + | * Benslimane Djamal, Lyon 1 University, France | ||
| + | * Hujun Yin, University of Manchester, UK | ||
| + | * Boyan Xu, Guangdong University of Technology, China | ||
| + | * Cesar Analide, Universidad do Minho, Portugal | ||
| + | * Maria Alcina Alpoim Sousa Pereira, Universidad do Minho, Portugal | ||
| + | * Valery Naranjo, Universidad Politécnica de Valencia, Spain | ||
| + | * Adrián Colomer, Universidad Politécnica de Valencia, Spain | ||
| Line 117: | Line 125: | ||
| - | ===== Papers ===== | ||
| - | * Fast Hybrid Oracle-Explainer Approach to Explainability Using Optimized Search of Comprehensible Decision Trees \\ Szczepanski, | ||
| - | * SurvSHAP: A Proxy-Based Algorithm for Explaining Survival Models with SHAP \\ Alabdallah, Abdallah; Pashami, Sepideh; Rognvaldsson, | ||
| - | * Abstract Argumentation for Explainable Satellite Scheduling \\ Powell, Cheyenne; Riccardi, Annalisa | ||
| - | * Explaining Human Activities Instances Using Deep Learning Classifiers \\ Arrotta, Luca; Civitarese, Gabriele; Fiori, Michele; Bettini, Claudio | ||
| - | * Explainable expected goal models for performance analysis in football analytics \\ Cavus, Mustafa; Biecek, Przemyslaw | ||
| - | * Why is the prediction wrong? Towards underfitting case explanation via meta-classification \\ ZHOU, Sheng; BLANCHART, Pierre; Crucianu, Michel; Ferecatu, Marin | ||
| - | * Streamlining models with explanations in the learning loop \\ Lomuscio, Francesco; Bajardi, Paolo; Perotti, Alan; Amparore, Elvio | ||
| - | * Roll Wear Prediction in Strip Cold Rolling with Physics-Informed Autoencoder and Counterfactual Explanations \\ Jakubowski, Jakub; Stanisz, Przemysław; | ||
| ===== Past events ===== | ===== Past events ===== | ||
| * [[praxai: | * [[praxai: | ||
| + | * [[praxai: | ||
