Welcome!

The NNIG team was constituted in February, 2003, and is part of INEB.

The NNIG activities are focused on new paradigms of neural networks and their applications to biomedical data as well as in new breakthroughs in Learning Theory.

Ongoing Projects

PTDC/EIA-EIA/119004/2010: Deep architectures, such as neural networks with two or more hidden layers of units, are a class of machines that comprise several levels of non-linear operations, each expressed in terms of parameters that can be learned.

Read more: Ongoing Projects

Completed Projects

POSC/EIA/56918/2004: 'EntNets - Entropic neural networks for the analysis of medical data', (2005-2008, 77k€), which was financed by FCT.  The goal of the project was the development of neural networks using entropy as a cost function and their application to the analysis of medical data.

Events

* Organization of a special session on Transfer Learning at IWANN 2015 at Spain.

* Celebrating 25 years of INEB.

Subcategories

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