About me

I am actually postdoctoral fellow at KU Leuven in the DTAI team. I am working on the SYNTH project dedicated to automate data science.
My Ph.D. thesis research field was centered on pattern mining and supervised machine learning. I have mainly worked on the usage of standard machine learning algorithms for mining discriminant temporal patterns. Pattern mining allows to mine patterns that are interpretable for the final user and then directly usable as new knowledge. In pattern mining framework, machine learning allow to represent the numerical dimension of data, for example the temporal dimension, more expressive. This research has contributed to propose new temporal patterns, expressive and interpretable.

Teaching

student projects

Invitations and mentoring

Publications

Dauxais, Y. (2018) Discriminant chronicle mining. (Exctraction de chroniques discriminantes). University of Rennes 1, France
Dauxais, Y., Gross-Amblard, D., Guyet, T. and Happe, A. (2018) Discriminant Chronicle Mining. In AKDM
Dauxais, Y. and Gautrais, C. (2018) Predicting Pass Receiver in Football Using Distance Based Features. In MLSA@ECML PKDD
Gautrais, C., Dauxais, Y. and Guillemé, M. (2017) Multi-Plant Photovoltaic Energy Forecasting Challenge: Second Place Solution. In ECML PKDD Discovery Challenges
Dauxais, Y., Gross-Amblard, D., Guyet, T. and Happe, A. (2017) Discriminant chronicles mining. Application to care pathways analytics. In AIME
Guyet, T., Happe, A. and Dauxais, Y. (2017) Declarative sequential pattern mining of care pathways. In AIME
Dauxais, Y., Gross-Amblard, D., Guyet, T. and Happe, A. (2017) Extraction de chroniques discriminantes. In EGC
Lemière, V., Dauxais, Y., Boizumault, P. and Lallouet, A. (2016) Mining frequent patterns using CP: a comparative study. In CP Doctoral program
Balusson, F., Botrel, M.A., Dameron, O., Dauxais, Y., Drezen, E., Dupuy, A., Guyet, T., Gross-Amblard, D., Happe, A., Le Meur, N., Le Nautout, B., Leray, E., Nowak, E., Rault, C., Oger, E. and Polard, E. (2016) PEPS: a platform for supporting studies in pharmaco-epidemiology using medico-administrative databases. In International Congress on e-Health Research
Dauxais, Y., Gross-Amblard, D., Guyet, T. and Happe, A. (2015) Chronicles mining in a database of drugs exposures. In ECML Doctoral consortium