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Machine learning

Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones

Carlos Medrano, Raul Igual, Inmaculada Plaza, Manuel Castro

Automatic ROI Selection in Structural Brain MRI Using SOM 3D Projection

Andrés Ortiz, Juan M. Górriz, [ ... ], for the Alzheimer's Disease Neuroimaging Initiative

A Practical and Automated Approach to Large Area Forest Disturbance Mapping with Remote Sensing

Mutlu Ozdogan

SMART: Unique Splitting-While-Merging Framework for Gene Clustering

Rui Fa, David J. Roberts, Asoke K. Nandi

Composing Problem Solvers for Simulation Experimentation: A Case Study on Steady State Estimation

Stefan Leye, Roland Ewald, Adelinde M. Uhrmacher

Parallel Clustering Algorithm for Large-Scale Biological Data Sets

Minchao Wang, Wu Zhang, [ ... ], Jiang Xie

A Comparison of Supervised Classification Methods for the Prediction of Substrate Type Using Multibeam Acoustic and Legacy Grain-Size Data

David Stephens, Markus Diesing

Incremental Learning with SVM for Multimodal Classification of Prostatic Adenocarcinoma

José Fernando García Molina, Lei Zheng, [ ... ], Matthias Rädle

Discriminative Learning of Receptive Fields from Responses to Non-Gaussian Stimulus Ensembles

Arne F. Meyer, Jan-Philipp Diepenbrock, [ ... ], Jörn Anemüller

Using Data-Driven Rules to Predict Mortality in Severe Community Acquired Pneumonia

Chuang Wu, Roni Rosenfeld, Gilles Clermont

Exploiting SNP Correlations within Random Forest for Genome-Wide Association Studies

Vincent Botta, Gilles Louppe, Pierre Geurts, Louis Wehenkel

Prediction of Multi-Type Membrane Proteins in Human by an Integrated Approach

Guohua Huang, Yuchao Zhang, [ ... ], Yu-Dong Cai

Rare Variants Detection with Kernel Machine Learning Based on Likelihood Ratio Test

Ping Zeng, Yang Zhao, [ ... ], Feng Chen

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