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133
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COMAD
2008
15 years 5 months ago
REBMEC: Repeat Based Maximum Entropy Classifier for Biological Sequences
An important problem in biological data analysis is to predict the family of a newly discovered sequence like a protein or DNA sequence, using the collection of available sequence...
Pratibha Rani, Vikram Pudi
147
Voted
APBC
2003
128views Bioinformatics» more  APBC 2003»
15 years 5 months ago
Machine Learning in DNA Microarray Analysis for Cancer Classification
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...
Sung-Bae Cho, Hong-Hee Won
113
Voted
ISMB
1997
15 years 5 months ago
Prediction of Enzyme Classification from Protein Sequence without the Use of Sequence Similarity
1 W’edescribe a novel approach for predicting the function of a protein from its amino-acid sequence. Given features that can be computedfrom the amino-acid sequence in a straigh...
Marie desJardins, Peter D. Karp, Markus Krummenack...
113
Voted
CLEF
2010
Springer
15 years 4 months ago
ImageCLEF 2010 Working Notes on the Modality Classification Subtask
The goal of this work is to investigate the performance of classical methods for feature description and classification, and to identify the difficulties of the ImageCLEF 2010 moda...
Olivier Pauly, Diana Mateus, Nassir Navab
106
Voted
ICANN
2010
Springer
15 years 4 months ago
Action Classification in Soccer Videos with Long Short-Term Memory Recurrent Neural Networks
Abstract. In this paper, we propose a novel approach for action classification in soccer videos using a recurrent neural network scheme. Thereby, we extract from each video action ...
Moez Baccouche, Franck Mamalet, Christian Wolf, Ch...