ECML PKDD 2023
September 18 -22 2023
From the 18th to the 22rd of September 2023, the next European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases will be held in Turin, Italy.
The conference main venue is OGR (Officine Grandi Riparazioni), the hub of innovation and art in Turin, supported by a group of modern spaces at Politecnico di Torino for the workshops and tutorials days.
This is Europe’s top machine learning and data mining conference, with over 20 years of successful events and conferences across the continent.
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Did you know #ECMLPKDD2023 will host the 1st Special Day on AI for Financial Crime Fight?
Distinguished speakers will talk about fighting financial crimes with AI!
The event is free, but with only limited seats!
📆 Sep 18
The 3rd International #Workshop on #Learning to Quantify is co-located with the @ECMLPKDD & will take place on the 18th of September in Torino 🇮🇹!
Bringing together all researchers interested in #methods, #algorithms, evaluation measures & methodologies for #LQ!
Tarek R. Besold, Senior Research Scientist, will give the keynote at the Knowledge-Guided Machine Learning workshop at @ECMLPKDD. Neurosymbolic AI: Some pain, a lot of gain! explores integrating symbolic and subsymbolic computation. https://ow.ly/ooo150PA8Nt
AI is coming to #Turin! More than 1100 researchers (and counting...) in #MachineLearning and #DataScience from all over the world are gathering in #Turin 18 -22 September for a record-breaking edition of @ECMLPKDD! Check-out our sponsorship opportunities https://2023.ecmlpkdd.org/sponsors/sponsorship-opportunities/
Registrations keep flowing in at steady pace! It will be a record-breaking edition of @ECMLPKDD and it will be lot of fun (and science)! Don’t miss it... #Turin #MachineLearning #DataScience #AI #FOMO
The Runner-up Best Paper in the Applied #DataScience Track in "Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks" by Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang 🥂🍾 Congrats to the authors!
Runner-up Best paper for the Research Track is "Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching" by Bastien Dussap, Gilles Blanchard, Badr-Eddine Chérief-Abdellatif. 🥳
🚨The 2023 Best Paper Award for the Applied Data Science Track goes to "RulEth: Genetic Programming-Driven Derivation of Security Rules for Automotive Ethernet" by Felix Gail, Roland Rieke, Florian Fenzl! Congratulations to the authors 🍻
📢The 2023 Best Paper Award for the Research Track goes to "Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry" by Jonas Gregor Wiese, Lisa Wimmer, Theodore Papamarkou, Bernd Bischl, Stephan Günnemann, David Rügamer 🥳 congrats to the authors!
The 10-years Test-of-Time Award for the most impactful paper from 2013 edition of @ECMLPKDD goes to the paper "Area under the Precision-Recall Curve: Point Estimates and Confidence Intervals" by Kendrick Boyd, Kevin H. Eng, and C. David Page 🥂🍾