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 as 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.
Jason Ramapuram will be at BMVC2018 to talk about his new paper "A New Benchmark and Progress Toward Improved Weakly Supervised Learning"Read more
We will present our new paper on Large-scale Nonlinear Variable Selection via Kernel Random Features at ECML PKDD 2018.Read more
Our paper on Structured nonlinear variable selection has been accepted to the UAI2018 conference.Read more
Our paper : Deep alignment: Unsupervised ontology matching with refined word vectors, Prodromos Kolyvakis, Alexandros Kalousis, Dimitris Kiritsis, will be presented in NAACL.Read more