European conference in machine learning and data mining gathers a record number of participants
The -The European Conference on Machine Learning & Principles And Practice Of Knowledge Discovery Databases - is a premier venue for European researchers to meet and discuss their latest research findings in their research area of machine learning and data mining.
"It has been a large coordination project for the past year, working together with a team of four chairs of the Program Committee from Belgium, Finland, Italy and Slovenia. We have coordinated the peer-review of the contributed papers from over 1000 authors, around 360 papers in total. In a peer review model, we have had around 320 machine learning and data mining experts globally to volunteer and to help us reviewing the originality, relevance and quality of the work", says Jaakko Hollmén, one of the Chairs of the Program Committee coordinating the review work.
There were also six experts from Aalto University as members of the Program Committees, all from the Department of Computer Science: Paul Blomstedt, Jaakko Hollmén, Samuel Kaski, Jorma Laaksonen, Sandor Szedmak, and Nikolaj Tatti. The pile of papers under review is around 6500 pages of written scientific text.
After the careful evaluation of the papers on the conference track, a little over 100 papers were selected for presentation in the conference track.
The current edition of the ECML-PKDD conference is organized in Skopje, Macedonia 18-22 September, 2017. There will be an estimated number of over 700 participants to the conference, which is a record number for all years. The program is available on .
There will be three proceedings books published by Springer after the conference, in the prestigious Lecture Notes in Computer Science series.
Read more news
Research Council of Finland establishes a Center of Excellence in Quantum Materials
The Centre, called QMAT, creates new materials to power the quantum technology of coming decades.
Major funding powers development of next-generation machine technology aimed at productivity leap in export sectors
The BEST research project is developing new types of sealing, bearing, and damping technology.
The TAIMI project builds an equal working life – a six-year consortium project seeks solutions to recruitment and skill challenges
Artificial intelligence (AI) is changing skill requirements, the population is aging, and the labor shortage is deepening. Meanwhile, the potential of international experts often remains unused in Finland. These challenges in working life are addressed by the six-year TAIMI project funded by the Strategic Research Council, and implemented by a broad consortium.