Several classifiers for forward looking infra-red imagery are designed and implemented, and their relative performance is benchmarked on 2545 images belonging to 8 different ship classes, from which 11 attributes are extracted. These are a Bayes classifier, a Dempster–Shafer classifier ensemble in which specialized classifiers are optimized to return a single ship class, a k-nearest neighbor cl...

This paper presents the use of various type of neural network architectures for the classification of medical data. Extensive research has indicated that neural networks generate significant improvements when used for the pre-processing of medical time-series data signals and have assisted in obtaining high accuracy in the classification of medical data. Up to date, most of hospitals and health...

In this paper, we present phoneme level Siamese convolutional networks for the task of pair-wise cognate identification. We represent a word as a two-dimensional matrix and employ a siamese convolutional network for learning deep representations. We present siamese architectures that jointly learn phoneme level feature representations and language relatedness from raw words for cognate identifi...

Chemoinformatics has evolved by the marriage of two branches of sciences namely, chemistry and information technology. In this paper, neural network trained by evolutionary algorithm is used as a classifier for the classification of Chemoinformatics data sets. The results of evolutionary neural network classifier are promising.

This paper proposes NeurAge, an agent-based multi-classifier system for classification tasks. This system is composed of several neural classifiers (called neural agents) and its main aim is to overcome some drawbacks of multi-classifier systems and, as a consequence, to improve performance of such systems.

The paper presents results of using a neural network classifier to analyze images malignant skin lesions obtained hyper-spectral camera. Using three-block VGG architecture, we conducted the classification set two-dimensional melanoma, papilloma and basal cell carcinoma, in range 530 – 570 600 606 nm, characterized by highest absorption melanin hemoglobin. sufficiency inclusion training limited ...