This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed ...
We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
Fully automatic, completely reliable segmentation in medical images is an unrealistic expectation with today's technology. However, many automatic segmentation algorithms may ...
The advent of real-time fMRI pattern classification opens many avenues for interactive self-regulation where the brain's response is better modelled by multivariate, rather t...
Catrin Oliver Plumpton, Ludmila I. Kuncheva, David...