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BMCBI
2008
129views more  BMCBI 2008»
13 years 9 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
ESORICS
2004
Springer
14 years 2 months ago
Discovering Novel Attack Strategies from INFOSEC Alerts
Abstract. Correlating security alerts and discovering attack strategies are important and challenging tasks for security analysts. Recently, there have been several proposed techni...
Xinzhou Qin, Wenke Lee
BMCBI
2008
149views more  BMCBI 2008»
13 years 9 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
JUCS
2010
183views more  JUCS 2010»
13 years 7 months ago
User Context and Personalized Learning: a Federation of Contextualized Attention Metadata
: Nowadays, personalized education is a very hot topic in technology enhanced learning (TEL) research. To support students during their learning process, the first step consists in...
Valentin Butoianu, Philippe Vidal, Katrien Verbert...
CVPR
2012
IEEE
11 years 11 months ago
The use of on-line co-training to reduce the training set size in pattern recognition methods: Application to left ventricle seg
The use of statistical pattern recognition models to segment the left ventricle of the heart in ultrasound images has gained substantial attention over the last few years. The mai...
Gustavo Carneiro, Jacinto C. Nascimento