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» Classifier Selection Based on Data Complexity Measures
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AIME
2009
Springer
14 years 11 months ago
Learning Approach to Analyze Tumour Heterogeneity in DCE-MRI Data During Anti-cancer Treatment
Abstract. The paper proposes a learning approach to support medical researchers in the context of in-vivo cancer imaging, and specifically in the analysis of Dynamic Contrast-Enhan...
Alessandro Daducci, Umberto Castellani, Marco Cris...
72
Voted
ASPDAC
2007
ACM
108views Hardware» more  ASPDAC 2007»
15 years 2 months ago
Reduced-Order Wide-Band Interconnect Model Realization using Filter-Based Spline Interpolation
In the paper, we develop a systematic methodology for modeling sampled interconnect frequency response data based on spline interpolation. Through piecewise polynomial interpolatio...
Arthur Nieuwoudt, Mehboob Alam, Yehia Massoud
BMCBI
2008
115views more  BMCBI 2008»
14 years 10 months ago
Improving peptide-MHC class I binding prediction for unbalanced datasets
Background: Establishment of peptide binding to Major Histocompatibility Complex class I (MHCI) is a crucial step in the development of subunit vaccines and prediction of such bin...
Ana Paula Sales, Georgia D. Tomaras, Thomas B. Kep...
78
Voted
ISCC
2008
IEEE
122views Communications» more  ISCC 2008»
15 years 4 months ago
A flexible network monitoring tool based on a data stream management system
Network monitoring is a complex task that generally requires the use of different tools for specific purposes. This paper describes a flexible network monitoring tool, called Pa...
Natascha Petry Ligocki, Carmem S. Hara, Christiano...
IPPS
2005
IEEE
15 years 3 months ago
Some Issues in Solving the Anomaly Detection Problem using Immunological Approach
Results of an experimental study of an anomaly detection system based on the paradigm of artificial immune systems (AISs) are presented. Network traffic data are mapped into ant...
Franciszek Seredynski, Pascal Bouvry