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» Learning Classifiers from Semantically Heterogeneous Data
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AAAI
2008
13 years 11 months ago
Proactive Intrusion Detection
Machine learning systems are deployed in many adversarial conditions like intrusion detection, where a classifier has to decide whether a sequence of actions come from a legitimat...
Benjamin Liebald, Dan Roth, Neelay Shah, Vivek Sri...
LREC
2010
152views Education» more  LREC 2010»
13 years 10 months ago
Predicting Persuasiveness in Political Discourses
In political speeches, the audience tends to react or resonate to signals of persuasive communication, including an expected theme, a name or an expression. Automatically predicti...
Carlo Strapparava, Marco Guerini, Oliviero Stock
CVPR
2011
IEEE
13 years 13 days ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
GCB
2007
Springer
134views Biometrics» more  GCB 2007»
14 years 2 months ago
An Application of Latent Topic Document Analysis to Large-Scale Proteomics Databases
Since the advent of public data repositories for proteomics data, readily accessible results from high-throughput experiments have been accumulating steadily. Several large-scale p...
Sebastian Klie, Lennart Martens, Juan Antonio Vizc...
ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
14 years 3 months ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...