Supervised classification applications in fisheries management

Lecturer : 
Jose A. Fernandes
Event type: 
HIIT seminar
Event time: 
2011-02-25 10:15 to 11:00
Kumpula Exactum C222
Talk announcement:
HIIT Seminar Kumpula, Friday Feb 25 10:15, Exactum C222

Jose A. Fernandes
University of Helsinki and
University of Basque Country (ISG group), AZTI-Tecnalia

Supervised classification applications in fisheries management

The impact of how fisheries are managed is of great importance on
biological, economic, social and political levels. However, there is
still a high uncertainty about the relationships between climate, fish
and management decisions. Many activities are performed in marine
science in order to reduce this uncertainty. Classification methods
have  high potential to aid in this activities.

In this presentation three classification applications are presented:
1) Wrapper method to acomplish a trade-off between number of
Zooplakton taxa and performance.
2)  A methodological pipeline of machine learning state-of-the-art
methods is proposed and
its proper application is verified for fish recruitment forecasting.
3) The new machine learning paradigm of multi-dimensional classifiers
is applied to simultaneous multi-species recruitment forecasting in
the context of an ecosystem-based approach to fisheries management.

Computer Engineer from the University of Deusto (Spain), MSc in
Computer Systems Security from the University of Glamorgan (Wales). He
will defend his PhD in March 2011, result of a collaboration between
AZTI-Tecnalia Food and Marine Research fundation (Spain)  and the
Department of Computer Science and AI at University of Basque Country
in the ISG group (Spain). Ph.D. in the field of Supervised
Classification problems in Marine Science, mainly in problems with
sparse data and high uncertainty. Publications in refereed journals
and international symposiums(, focusing on develop
machine learning methodologies to applied problems in journals such as
Ecological Modelling and Journal of Plankton Research, leading to
reviewing for these journals and other refereed journals as well as
for the NSF and NOAA (EEUU).

--Matti Järvisalo

Last updated on 3 Feb 2011 by Matti Järvisalo - Page created on 3 Feb 2011 by Matti Järvisalo