AIMC Topic: Artificial Intelligence

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Gene selection for microarray cancer classification using a new evolutionary method employing artificial intelligence concepts.

Genomics
Gene selection is a demanding task for microarray data analysis. The diverse complexity of different cancers makes this issue still challenging. In this study, a novel evolutionary method based on genetic algorithms and artificial intelligence is pro...

Automatic diet monitoring: a review of computer vision and wearable sensor-based methods.

International journal of food sciences and nutrition
Food intake and eating habits have a significant impact on people's health. Widespread diseases, such as diabetes and obesity, are directly related to eating habits. Therefore, monitoring diet can be a substantial base for developing methods and serv...

Continuous Adaptive Population Reduction (CAPR) for Differential Evolution Optimization.

SLAS technology
Differential evolution (DE) has been applied extensively in drug combination optimization studies in the past decade. It allows for identification of desired drug combinations with minimal experimental effort. This article proposes an adaptive popula...

A Theoretical Analysis of Why Hybrid Ensembles Work.

Computational intelligence and neuroscience
Inspired by the group decision making process, ensembles or combinations of classifiers have been found favorable in a wide variety of application domains. Some researchers propose to use the mixture of two different types of classification algorithm...

Object class segmentation of RGB-D video using recurrent convolutional neural networks.

Neural networks : the official journal of the International Neural Network Society
Object class segmentation is a computer vision task which requires labeling each pixel of an image with the class of the object it belongs to. Deep convolutional neural networks (DNN) are able to learn and take advantage of local spatial correlations...

Temporal detection and analysis of guideline interactions.

Artificial intelligence in medicine
BACKGROUND: Clinical practice guidelines (CPGs) are assuming a major role in the medical area, to grant the quality of medical assistance, supporting physicians with evidence-based information of interventions in the treatment of single pathologies. ...

Orthogonal Procrustes Analysis for Dictionary Learning in Sparse Linear Representation.

PloS one
In the sparse representation model, the design of overcomplete dictionaries plays a key role for the effectiveness and applicability in different domains. Recent research has produced several dictionary learning approaches, being proven that dictiona...

Effect of roll compaction on granule size distribution of microcrystalline cellulose-mannitol mixtures: computational intelligence modeling and parametric analysis.

Drug design, development and therapy
Dry granulation using roll compaction is a typical unit operation for producing solid dosage forms in the pharmaceutical industry. Dry granulation is commonly used if the powder mixture is sensitive to heat and moisture and has poor flow properties. ...

Orthogonal self-guided similarity preserving projection for classification and clustering.

Neural networks : the official journal of the International Neural Network Society
A suitable feature representation can faithfully preserve the intrinsic structure of data. However, traditional dimensionality reduction (DR) methods commonly use the original input features to define the intrinsic structure, which makes the estimate...