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aira:start [2024/04/12 10:19] – [2024-04-04] sbk | aira:start [2024/04/23 06:30] – [Schedule Summer 2024] sbk | ||
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===== Schedule Summer 2024 ===== | ===== Schedule Summer 2024 ===== | ||
- | * **[DOCTORAL TRACK] 2024.04.18** | + | |
- | * Meeting link: [[|MS Teams]] | + | * Meeting link: [[https:// |
+ | * Recording: [[|View]] (if you are not UJ employee, ask Szymon Bobek for access) | ||
+ | * Presentation slides: {{ |Download}} | ||
+ | | ||
+ | * Farnoud Ghasemi [[#20240418| Performance Optimization of the Platforms in Two-sided Mobility Market]] and | ||
+ | * Michał Bujak [[#20240418| Optimising network efficiency in the epidemic scenario]] | ||
+ | * Meeting link: [[https:// | ||
* Recording: [[|View]] (if you are not UJ employee, ask Szymon Bobek for access) | * Recording: [[|View]] (if you are not UJ employee, ask Szymon Bobek for access) | ||
* Presentation slides: {{ |Download}} | * Presentation slides: {{ |Download}} | ||
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===== Presentation details ===== | ===== Presentation details ===== | ||
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+ | ==== 2024-04-25 ==== | ||
+ | <WRAP column 15%> | ||
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+ | <WRAP column 75%> | ||
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+ | **Speaker**: | ||
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+ | **Title**: Interpretable Time Series Classification With Prototypical Parts | ||
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+ | **Abstract**: | ||
+ | Time series data is one of the most popular data modality in critical domains such as industry and medicine. The demand for algorithms that not only exhibit high accuracy but also offer interpretability is crucial in such fields, as decisions made there bear significant consequences. Prototypical parts network, like ProtoPNet gained significant interest in the field of image analysis. Although they offer competitive accuracy and ante-hoc explainability, | ||
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+ | **Biogram**: | ||
+ | Bartłomiej Małkus is a PhD candidate at the Jagiellonian University in Technical Computer Science since 2021. He received BSc and MSc degrees in Computer Science on AGH University of Science and Technology. His field of interests are interpretable AI techniques applied to time series analysis and neurosymbolic AI. Commercially, | ||
+ | </ | ||
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==== 2024-04-18 ==== | ==== 2024-04-18 ==== |