The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) includes a PhD student forum on machine learning and knowledge discovery.
The ECML PKDD PhD Forum spans various topics of data mining and machine learning, as well as work in related fields such as databases, artificial intelligence, statistics, information retrieval, multimedia, and the Web. Topics in specific domains, such as bioinformatics and general science informatics are also encouraged. Participants with interdisciplinary work across the areas are particularly welcome.
Authors should adhere to ethics guidelines stated HERE .
Submission
2026-06-17
2026-06-08
Author notification
2026-07-02
2026-06-26
Camera ready
2026-07-13
2026-07-08
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The submission requires a title, an author (authors) and an extended abstract (up to 2000 characters, excluding spaces+ references), briefly describing the work.
The extended abstract can be based either on:
The purpose is to obtain feedback regarding future plans and technical feedback on the research topic and writing. Note:
The papers must be written in English and formatted according to the Springer LNAI guidelines. If you have a paper accepted at the main conference or workshops, you may also submit the accepted PDF. Author instructions and style files can be downloaded here. [HERE]. The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.