Professor HES, Senior lecturer CS UNIGE|
+41 22 388 63 584
Alexandros Kalousis is a Professor at the University of Applied Sciences, Western Switzerland in the Geneva School of Business Administration, where he leads the Data Mining and Machine Learning group. He also holds a "Chargé de Cours" position in Department of Computer Science at the University of Geneva. He received his PhD from the University of Geneva in the area of machine learning. He has a BSc and MSc in Computer Science in the University of Athens, Greece.
He publishes regularly in the top venues of data mining and machine learning, such as ICML, NIPS, ICDM, KDD, SDM, ECML/PKDD. He is a regular program committee member of all main machine learning and data mining conferences.
Over the years he has explored a variety of research problems, such as metric and kernel learning, feature selection and dimensionality reduction, regularisation, and meta-learning. He is currently exploring 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.
Kernels over Relational Algebra Structures Inproceedings
Advances in Knowledge Discovery and Data Mining, 9th Pacific-Asia Conference, PAKDD 2005, Hanoi, Vietnam, May 18-20, 2005, Proceedings, pp. 588–598, 2005.
Knowledge Discovery in Databases: PKDD 2005, 9th European Conference on Principles and Practice of Knowledge Discovery in Databases, Porto, Portugal, October 3-7, 2005, Proceedings, pp. 536–543, 2005.
On Data and Algorithms: Understanding Inductive Performance Journal Article
Machine Learning, 54 (3), pp. 275–312, 2004.
16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 15-17 November 2004, Boca Raton, FL, USA, pp. 113–119, 2004.
Representational Issues in Meta-Learning Inproceedings
Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA, pp. 313–320, 2003.
Model Selection via Meta-Learning: A Comparative Study Journal Article
International Journal on Artificial Intelligence Tools, 10 (4), pp. 525–554, 2001.
Estimating the Predictive Accuracy of a Classifier Inproceedings
Machine Learning: EMCL 2001, 12th European Conference on Machine Learning, Freiburg, Germany, September 5-7, 2001, Proceedings, pp. 25–36, 2001.
Feature Selection for Meta-learning Inproceedings
Knowledge Discovery and Data Mining - PAKDD 2001, 5th Pacific-Asia Conference, Hong Kong, China, April 16-18, 2001, Proceedings, pp. 222–233, 2001.
Principles of Data Mining and Knowledge Discovery, 5th European Conference, PKDD 2001, Freiburg, Germany, September 3-5, 2001, Proceedings, pp. 180–191, 2001.
Model selection via meta-learning: a comparative study Inproceedings
12th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2000), 13-15 November 2000, Vancouver, BC, Canada, pp. 406–413, 2000.
Principles of Data Mining and Knowledge Discovery, 4th European Conference, PKDD 2000, Lyon, France, September 13-16, 2000, Proceedings, pp. 106–115, 2000.
Intell. Data Anal., 3 (5), pp. 319–337, 1999.
KNOWEL: A Hypermedia Knowledge Editor Inproceedings
6th Int. Conf. and Workshop on Database and Expert Systems Applications, DEXA'95, London, United Kingdom, September 4-8, 1995, Workshop Proceedings., pp. 178–187, 1995.