Exploring the Frontiers of Machine Learning at ECML-PKDD 2025 in Porto

ENFIELD’s partners showcased cutting-edge academic research during the largest European conference on machine learning.

From September 15 to 19, 2025, Porto, Portugal, hosted the highly anticipated European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), a premier global event in the fields of machine learning, data mining, and artificial intelligence. Promoted by INESC TEC, an esteemed AI-BOOST partner, this flagship conference attracted over 1200 scientists and experts from around the world, creating a hub for innovative ideas, discussions, and networking opportunities.

ECML-PKDD was renowned for its diverse and rich program, featuring peer-reviewed research presentations, invited talks from global leaders, workshops, tutorials, poster sessions, and various specialized tracks including Applied Data Science, Industry, PhD Forum, and the Discovery Challenge. With a reputation as the largest European conference on machine learning, the event served as a significant platform for the exchange of knowledge and ideas in the AI and data science community.

Key Highlights from ENFIELD partners contributions on ECML-PKDD 2025

One of the most exciting features of the conference was its comprehensive program, which not only showcased cutting-edge academic research but also emphasized the real-world applications of machine learning and data mining. Researchers and practitioners from top institutions such as TELENOR, SINTEF, and Technologisk Institute, TUE and TU Chemnitz shared their latest findings, addressing key challenges and opportunities in AI, including topics such as computational evaluation of explanations and remote sensing for vessel detection.

At the TempXAI Workshop, Gregor Baer from TUE presented a paper on the computational evaluation of explanations and potential pitfalls in AI systems. Meanwhile, Abubaker Gaber from TU Chemnitz presented his groundbreaking work on remote sensing for vessel detection, highlighting the importance of AI in improving the accuracy and reliability of surveillance technologies.

One of the presentations was by Maria Ulan, a TES exchange researcher hosted by Telenor. Maria presented her paper on Green AI, a rapidly growing area of AI research focused on sustainability. Her paper, titled “Talk Is Cheap, Energy Is Not: Towards a Green, Context-Aware Metrics Framework for Automatic Speech Recognition,” was presented during the Resource Efficiency session on Wednesday, September 17th. This important research explored how machine learning models could be optimized not just for performance but also for energy efficiency, a critical issue as the demand for AI-driven technologies grew.

For more details, visit the official ECML-PKDD 2025 website: www.ecmlpkdd.org/2025/