About

About the DMML group

The Data Mining and Machine Learning group was established in 2011 by Prof. Alexandros Kalousis. It is a part of the Department of Information Systems of the University of Applied Sciences, Western Switzerland, Geneva. It is a also part of the VIPER group of the Computer Science Department of the University of Geneva, with a number of group members doing their PhD there, under the joint supervision of Profs. Alexandros Kalousis and Stephane Marchand-Maillet.

Within the group we do research in various areas of data mining and machine learning. Over the years group members have explored a variety of research problems, such asĀ  metric and kernel learning, feature selection and dimensionality reduction, regularisation, and meta-learning. Group members currently explore different research problems such as structured regularisation, learning of dynamical systems, life-long learning, imitation and reinforcement learning, many of them using deep learning methods.

In our research we pay particular attention to real life problems and applications. Many of our research directions have been defined on the basis of real world problems and in the context of joint projects with industrial partners. The group receives funding from different sources, such as the Swiss National Science Foundation, SNSF, InnoSuisse (former CTI), the European Union, Horizon 2020, as well as directly from industrial partners.

News

  • Our paper accepted to UAI2018

    18.5.2018

    Our paper on Structured nonlinear variable selection has been accepted to the UAI2018 conference.

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  • Accepted paper@NAACL

    8.5.2018

    Our paper : Deep alignment: Unsupervised ontology matching with refined word vectors, Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis, will be presented in NAACL.

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  • PhD position on learning and simulation for human …

    10.3.2018

    We have an opening for a PhD position on the development of machine learning methods for the modelling of pathological human locomotion in the framework of a collaborative Sinergia project funded by the Swiss National Science Foundation. The goal of the project is to develop, through machine learning and neuromechanical simulation, accurate models of human ...

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