Differences

This shows you the differences between two versions of the page.

--- aira:start [2024/04/23 06:10] – [Schedule Summer 2024] sbk
+++ aira:start [2024/04/23 06:12] – [2024-04-18] sbk
@@ Line 308: / Line 308: @@
 ===== Presentation details =====
+==== 2024-04-25 ====
+<WRAP column 15%>
+{{ :aira:bartlmiej-malkus-foto.jpeg?width=200| }}
+</WRAP>
+<WRAP column 75%>
+**Speaker**: Bartłomiej Małkus, PhD Candidate @ Jagiellonian University
+**Title**: Interpretable Time Series Classification With Prototypical Parts
+**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, their application to the field of multivariate time series classification is relatively weakly research area. The presentation will demonstrate a novel approach to interpretable classification of multivariate time series data, through substantial enhancements and adaptation of ProtoPNet architecture. Our method is tailored to tackle the unique challenges of time series analysis, including capturing dynamic patterns and varying feature significance.
+**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, he works in Persistent Systems on cloud, data lake and data warehouse solutions.
+</WRAP>
+<WRAP clear></WRAP>
 ==== 2024-04-18 ====