Humans are interested in the determination of the geographical origin of honeybee pollen due to its nutritional value and therapeutical benefits. This task is currently being developed in a manual way using images from optical microscopy. We have proposed [1, 2] an automatic system for pollen identification, based on its texture classification using a minimum distance classifier. In the present...

We compare the performance and generalization capabilities of different low-dimensional representations for facial emotion classification from static face images showing happy, angry, sad, and neutral expressions. Three general strategies are compared: The first approach uses the average face for each class as a generic template and classifies the individual facial expressions according to the ...

Fibrosis blood tests are usually developed using significant fibrosis, which is a unique diagnostic target; however, these tests are employed for other diagnostic targets, such as cirrhosis. We aimed to improve fibrosis staging accuracy by simultaneously targeting biomarkers for several diagnostic targets. A total of 3,809 patients were included, comprising 1,012 individuals with chronic hepati...

This study proposes a novel approach based on multi-objective artificial bee colony (ABC) for feature selection, particularly for intrusion-detection systems. The approach is divided into two stages: generating the feature subsets of the Pareto front of non-dominated solutions in the first stage and using the hybrid ABC and particle swarm optimization (PSO) with a feed-forward neural network (F...

In recent times, there have been growing interests on how to preserve the privacy in data mining when sources of data are distributed across multi-parties. In this paper, we focus on the privacy preserving decision tree classification in multi-party environment when data are horizontally partitioned. We develop new and simple algorithm to classify the horizontally partitioned multi-party data. ...

We analyze a simple arbitration procedure which is a multi-stage variant of Nash's demand game. In the absence of discounting, all Nash equilibria of the game yield the egalitarian solution in the first stage. The crucial feature of our arbitration procedure is that, in the case of incompatible demands, the game is allowed to continue and the player who demands the higher gain over the disagree...

This paper proposes and develops the basic theory for a new approach to typing multi-stage languages based a notion of environment classifiers. This approach involves explicit but lightweight tracking – at type-checking time – of the origination environment for future-stage computations. Classification is less restrictive than the previously proposed notions of closedness, and allows for both a...

Most techniques for computer classification of multispectral scanner data involve a "single-stage" approach in which every pixel in the data is classified in a single step, using a single set of training statistics and a single set of wave length bands. Hierarchical classifiers, on the other hand, involve a sequence of classification steps, each of which can involve a different wavelength band ...