Call for Papers: Three Workshops at ECML-PKDD 2025

The Lamarr Institute for Machine Learning and Artificial Intelligence is pleased to announce its participation in ECML-PKDD 2025, taking place in Porto, Portugal. Our researchers, Mirko Bunse, Amal Saddalah, and Matthias Jakobs, will co-host three workshops dedicated to advancing research in key areas of machine learning and artificial intelligence. We invite researchers, practitioners, and enthusiasts to contribute to these exciting discussions.

Workshop 1: Interactive and Adaptive Machine Learning Systems

This half-day workshop explores methods to optimize the lifecycle of machine learning models, especially in challenging conditions such as data scarcity or evolving environments. Topics of interest include:

• Active, semi-supervised, transfer, or weakly supervised learning methods
• Techniques for big, evolving, or streaming data
• Contrastive learning approaches for active learning
• Cost-aware strategies for resource-efficient learning
• Novel applications in real-world settings

We encourage contributions that present innovative methods, practical insights, or highlight open challenges in this domain.

Important Dates:

• Abstract Deadline: June 14, 2025
• Submission Deadline: June 21, 2025
• Notification: July 14, 2025
• Workshop Date: September 15 or 19, 2025 (TBD)

More information & submission details

Workshop 2: Learning to Quantify – Methods and Applications

Learning to Quantify (LQ) has emerged as a critical task distinct from classification, focusing on estimating class prevalence in unlabeled datasets. This workshop will explore:

• Binary/multiclass/multilabel quantification algorithms
• Deep learning approaches for quantification
• Evaluation measures and experimental protocols
• Applications in dynamic and real-world environments

We welcome original research contributions as well as relevant previously published work. A panel discussion will also address the future directions of Learning to Quantify.

Important Dates:

• Submission Deadline: June 14, 2025
• Notification: July 14, 2025
• Workshop Date: September 15 or 19, 2025 (TBD)

More information & submission details

Workshop 3: 2nd TempXAI Workshop – Explainable AI in Time Series and Data Streams

This workshop focuses on the intersection of Explainable AI (XAI) and the challenges posed by time series and data streams. We invite contributions on:

• Explainable AI methods for time series
• Visual explanations for (long) temporal data
• Case studies and applications
• Explainability metrics and evaluation techniques

We accept both regular papers (8–16 pages) and extended abstracts (2–4 pages).

Important Dates:

• Submission Deadline: June 14, 2025
• Notification: July 14, 2025
• Workshop Date: To be announced

More information & submission details