Len Feremans

Member of the Research Group
Advanced Database Research and Modelling (ADReM), University of Antwerp, Department of Mathematics and Computer Science
Office G.323, Middelheimlaan 1, 2020 Antwerpen, Belgium
Tel: (+32) 3 265 38 73, E-mail: len.feremans(a)ua.ac.be

Research Topic


My research is centered around pattern mining and multi-label classification.

Publications


- Combining Instance and Feature Neighbors for Efficient Multi-label Classification.
Feremans Len, Boris Cule, Celine Vens, and Bart Goethals.
In Proceedings of the International Conference on Data Science and Advanced Analytics (DSAA), 2017.

- Pattern Mining for Learning Typical Turbine Response During Dynamic Wind Turbine Events.
Feremans Len, Boris Cule, Christof Devriendt, Bart Goethals, and Jan Helsen.
In Proceedings of the ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering (IDETC 2017), 2017.

- Efficient Discovery of Sets of Co-occurring Items in Event Sequences.
Boris Cule, Len Feremans, Bart Goethals.
In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECML PKDD 2016), 2016 Springer.

Implementations


- LCIF kNN: Combining Instance and Feature Neighbors for Efficient Multi-label Classification.

- FCI seq: Efficient Discovery of Sets of Co-occurring Items in Event Sequences.

Teaching


2017-2018:
- 1e bachelor Informatica: Inleiding programmeren*
- 2e bachelor Informatica: Introduction to databases*
- 2e bachelor Informatica: Project databases*
- 3e bachelor Informatica: Artificial Intelligence

2015-2016:
- 2e bachelor Bio-ingenieurs: Programmeervaardigheden

* Also assisting in 2014-2015, 2015-2016, 2016-2017