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» A Case Study for Learning from Imbalanced Data Sets
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ESWA
2011
220views Database» more  ESWA 2011»
14 years 9 months ago
Unsupervised neural models for country and political risk analysis
This interdisciplinary research project focuses on relevant applications of Knowledge Discovery and Artificial Neural Networks in order to identify and analyse levels of country, b...
Álvaro Herrero, Emilio Corchado, Alfredo Ji...
IBPRIA
2009
Springer
15 years 10 months ago
Enhancing In-Vitro IVUS Data for Tissue Characterization
Intravascular Ultrasound (IVUS) data validation is usually performed by comparing post-mortem (in-vitro) IVUS data and corresponding histological analysis of the tissue, obtaining ...
Francesco Ciompi, Oriol Pujol, Oriol Rodriguez-Leo...
VRST
2006
ACM
16 years 2 days ago
A reprocessing tool for quantitative data analysis in a virtual environment
This paper presents an approach to help speed up and unify the exploration and analysis of time-dependent, volumetric data sets by easily incorporating new qualitative and quantit...
Eric J. Griffith, Michal Koutek, Frits H. Post, T....
ECML
2007
Springer
16 years 9 days ago
On Phase Transitions in Learning Sparse Networks
In this paper we study the identification of sparse interaction networks as a machine learning problem. Sparsity means that we are provided with a small data set and a high number...
Goele Hollanders, Geert Jan Bex, Marc Gyssens, Ron...
BMCBI
2008
134views more  BMCBI 2008»
15 years 6 months ago
Identification of transcription factor contexts in literature using machine learning approaches
Background: Availability of information about transcription factors (TFs) is crucial for genome biology, as TFs play a central role in the regulation of gene expression. While man...
Hui Yang, Goran Nenadic, John A. Keane