Lamarr Lab Visits: 2025.1

Session

Learning and Explaining from Time Series Data

18 Feb 2025, 14:30

JvF25/3-302 - Co-Working Space (Lamarr/RC Trust Dortmund)

Conveners

Learning and Explaining from Time Series Data: Scientific Session

• Emmanuel Müller

35. Heitor Gomes: "Learning from Data Streams: Research and Practice"

Heitor Gomes (Victoria University of Wellington, New Zealand)

18/02/2025, 14:30

In this talk, I will discuss the challenges and opportunities of applying machine learning to streaming data. To illustrate key concepts, I will introduce CapyMOA, a new open-source library designed for efficient real-time learning.

36. Probabilistic Approach: Anomaly and Concept Drift Detection in Data Streams

Shubham Gupta

18/02/2025, 15:10

37. Amal Saadallah: Online Adaptive Local Interpretable Tree Ensembles for Time Series Forecasting

Amal Saadallah (Lamarr Institute-TU Dortmund)

18/02/2025, 15:25

Thanks to their inherent interpretability, tree models are widely utilized in various learning tasks, including time series forecasting. However, single tree models often suffer from overfitting, limiting their applicability to real-world scenarios. To address this issue, ensembles of tree models are commonly employed. Yet, ensemble construction must account for the dynamic nature of time...