Techniques and algorithms for computer aided diagnosis of pigmented skin lesions—A review
Computerized image analysis methods for dermoscopy are primarily of great interest and
benefit, as it provides significant information about the lesion, which can be of pertinence for …
benefit, as it provides significant information about the lesion, which can be of pertinence for …
A color and texture based hierarchical K-NN approach to the classification of non-melanoma skin lesions
This chapter proposes a novel hierarchical classification system based on the K-Nearest
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …
Neighbors (K-NN) model and its application to non-melanoma skin lesion classification …
Medline text mining: an enhancement genetic algorithm based approach for document clustering
MEDLINE is the largest biomedical literature database. It is updated daily with 200–4,000
citations. This permanent growth induces the need of a good MEDLINE abstract clustering to …
citations. This permanent growth induces the need of a good MEDLINE abstract clustering to …
FastForest: Increasing random forest processing speed while maintaining accuracy
Random Forest remains one of Data Mining's most enduring ensemble algorithms,
achieving well-documented levels of accuracy and processing speed, as well as regularly …
achieving well-documented levels of accuracy and processing speed, as well as regularly …
A review: accuracy optimization in clustering ensembles using genetic algorithms
The clustering ensemble has emerged as a prominent method for improving robustness,
stability, and accuracy of unsupervised classification solutions. It combines multiple …
stability, and accuracy of unsupervised classification solutions. It combines multiple …
Classifier Subset Selection to construct multi-classifiers by means of estimation of distribution algorithms
This paper proposes a novel approach to select the individual classifiers to take part in a
Multiple-Classifier System. Individual classifier selection is a key step in the development of …
Multiple-Classifier System. Individual classifier selection is a key step in the development of …
Layered architecture for real time sign recognition: Hand gesture and movement
Sign and gesture recognition offers a natural way for human–computer interaction. This
paper presents a real time sign recognition architecture including both gesture and …
paper presents a real time sign recognition architecture including both gesture and …
To combine steady-state genetic algorithm and ensemble learning for data clustering
This paper proposes a data clustering algorithm that combines the steady-state genetic
algorithm and the ensemble learning method, termed as genetic-guided clustering algorithm …
algorithm and the ensemble learning method, termed as genetic-guided clustering algorithm …
A novel hysteretic chaotic neural network and its applications
X Liu, C Xiu - Neurocomputing, 2007 - Elsevier
A model of single neuron with chaotic and hysteretic characteristics is proposed. Neural
network coupled by such neurons exhibits complex dynamic behaviors. The network is also …
network coupled by such neurons exhibits complex dynamic behaviors. The network is also …
Histogram distance-based Bayesian Network structure learning: A supervised classification specific approach
In this work we introduce a methodology based on histogram distances for the automatic
induction of Bayesian Networks (BN) from a file containing cases and variables related to a …
induction of Bayesian Networks (BN) from a file containing cases and variables related to a …