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Department of Com­pu­ter Science
Lamarr office space © Raphael Fischer​/​TU Dortmund

Meet us at ECML-PKDD '24 (Sept 9-13, Vilnius)

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Exciting times at ECMLPKDD 2024 in Vilnius, Lithuania - meet our team from Sept 9-13, as we will showcase cutting-edge research through workshops, tutorials, & publications.

Exciting times at ECMLPKDD 2024 in Vilnius, Lithuania - meet our team from Sept 9-13, as we will showcase cutting-edge research through workshops, tutorials, & publications.

Workshops:

  • Interactive Adaptive Learning (IAL), co-organized by Mirko Bunse and Amal Saadallah, happening on Monday, Sept 9th. Dive deep into adaptive learning techniques! https://www.activeml.net/ial2024/
  • TempXAI: Explainable AI for Time Series and Data Streams Tutorial-Workshop by Amal Saadallah and Matthias Jakobs. Explore the frontiers of XAI! https://sites.google.com/view/tempxai-workshop
  • Learning to Quantify (LQ), co-organized by Mirko Bunse, taking place on Friday, Sept 13th. Get insights on quantifying machine learning outcomes! https://lq-2024.github.io/
  • Quantum Machine Learning, co-organized by Sascha Mücke, taking place on Friday, Sept 13th. Get insights on current motions in QML! https://lamarr.cs.tu-dortmund.de/qml24/

Tutorials:

  • Learning to Quantify (LQ) by Mirko Bunse and team 
  • Online Explainable Model Selection for Time Series Forecasting by Amal Saadallah and Matthias Jakobs.

Publications:

  • Sebastian Buschjäger will present his research on Rejection Ensembles with Online Calibration on Wednesday, Sept 11th.
  • Sascha Mücke and Nico Piatkowski present Real-Part Quantum Support Vector Machines on Tuesday, Sept 10th.
  • Bahavathy Kathirgamanathan and her collaborators will showcase their work on Developing Human-Centric Machine Learning Models for Temporal Data and Generating Explanatory Rules for Temporal Data using Prior Knowledge during the workshops on Sept 9th and 13th.
  • Mirko Bunse will present his research together with Tobias Lotz on regularized Soft-Max Likelihood Maximization on Friday, Sept 13th.
  • Raphael Fischer will present MetaQuRe: Meta-Learning from Model Quality and Resource Consumption with Marcel Wever and Thomas Liebig on Tuesday, Sept 10th and Towards More Sustainable and Trustworthy Reporting in Machine Learning with Thomas Liebig and Katharina Morik on Wednesday, Sept 11th.

Keynote:
Don’t miss Lamarr Founding Director Katharina Morik’s keynote on Resource-Aware Machine Learning – a User-Oriented Approach, Sept 12th.

We’re proud to be at the forefront, contributing to the global conversation on the future of AI technology. Join us in Vilnius and be part of this exciting journey! 

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