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Chapter and Conference Paper
Protocol Dialects as Formal Patterns
A protocol dialect is a lightweight method to obfuscate the communication exchanges between legitimate protocol users to make it hard for malicious users to interact with legitimate ones. So far, dialects have be...
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Chapter and Conference Paper
A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality
The interest in exploiting big datasets with machine learning has led to adapting classic strategies in this new paradigm determined by volume, speed, and variety. Because data quality is a determining factor ...
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Article
Role of boost radiotherapy for local control of pure ductal carcinoma in situ after breast-conserving surgery: a multicenter, retrospective study of 622 patients
To evaluate the effect of boost radiotherapy on ipsilateral breast tumor recurrence (IBTR) for ductal carcinoma in situ (DCIS) after breast-conserving surgery and whole breast radiotherapy (WBRT) with or witho...
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Article
A regression model based on the nearest centroid neighborhood
The renowned k-nearest neighbor decision rule is widely used for classification tasks, where the label of any new sample is estimated based on a similarity criterion defined by an appropriate distance function. ...
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Article
Impact of flash flood events on the distribution of organic pollutants in surface sediments from a Mediterranean coastal lagoon (Mar Menor, SE Spain)
The influence of flash flood events on the input and distribution of polycyclic aromatic hydrocarbons (PAHs), polychlorinated biphenyls (PCBs), and organochlorinated pesticides (OCPs) in surface sediments from...
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Chapter and Conference Paper
An Insight on the ‘Large G, Small n’ Problem in Gene-Expression Microarray Classification
This paper analyzes the effect of the high-dimensional, low-sample size problem in cancer classification using gene-expression microarrays. Here the two key questions addressed are: (i) What is the percentage ...
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Article
Proinflammatory environment and role of TNF-α in endometrial function of obese women having polycystic ovarian syndrome
A high percentage of women having polycystic ovarian syndrome (PCOS) exhibit hyperinsulinemia and obesity. Transforming necrosis factor-α (TNF-α) is an adipokine that increases in obesity and negatively affect...
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Article
An Efficient Over-sampling Approach Based on Mean Square Error Back-propagation for Dealing with the Multi-class Imbalance Problem
In this paper a new dynamic over-sampling method is proposed, it is a hybrid method that combines a well known over-sampling technique (SMOTE) with the sequential back-propagation algorithm. The method is base...
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Article
A comparison of the use of thistle (Cynara cardunculus L.) and artichoke (Cynara scolymus L.) aqueous extracts for milk coagulation
Plant coagulants may offer a wide range of possibilities for cheese production, but before they can be used on an industrial scale, an in-depth study needs to be made concerning their suitability for cheese ma...
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Chapter and Conference Paper
Dissimilarity-Based Learning from Imbalanced Data with Small Disjuncts and Noise
This papers compares the behavior of three linear classifiers modeled on both the feature space and the dissimilarity space when the class imbalance of data sets interweaves with small disjuncts and noise. To ...
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Article
A literature review on the application of evolutionary computing to credit scoring
The last years have seen the development of many credit scoring models for assessing the creditworthiness of loan applicants. Traditional credit scoring methodology has involved the use of statistical and math...
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Article
On the suitability of resampling techniques for the class imbalance problem in credit scoring
In real-life credit scoring applications, the case in which the class of defaulters is under-represented in comparison with the class of non-defaulters is a very common situation, but it has still received lit...
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Chapter and Conference Paper
Making Accurate Credit Risk Predictions with Cost-Sensitive MLP Neural Networks
In practical applications to credit risk evaluation, most prediction models often make inaccurate decisions because of the lack of sufficient default data. The challenging issue of highly skewed class distribu...
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Chapter and Conference Paper
Hybrid Associative Memories for Imbalanced Data Classification: An Experimental Study
Hybrid associative memories are based on the combination of two well-known associative networks, the lernmatrix and the linear associator, with the aim of taking advantage of their merits and overcoming their ...
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Chapter and Conference Paper
Instance Selection Methods and Resampling Techniques for Dissimilarity Representation with Imbalanced Data Sets
In the dissimilarity representation approach, the dimension reduction of the dissimilarity space is addressed by using instance selection methods. Several studies have shown that these methods work well on sma...
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Article
Surrounding neighborhood-based SMOTE for learning from imbalanced data sets
Many traditional approaches to pattern classification assume that the problem classes share similar prior probabilities. However, in many real-life applications, this assumption is grossly violated. Often, the...
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Article
Effect of vegetable coagulant, microbial coagulant and calf rennet on physicochemical, proteolysis, sensory and texture profiles of fresh goats cheese
In order to determine the technological suitability of vegetable coagulants for the manufacture of cheeses, two different aqueous extracts from cardoon (Cynara cardunculus subsp. flavescens and C. cardunculus sub...
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Article
Identification of genes related to nitrogen uptake in wine strains of Saccharomyces cerevisiae
The yeast Saccharomyces cerevisiae is the main microorganism responsible for wine fermentation and its development influences the quality of wine. A problem affecting these types of fermentations, generating impo...
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Chapter and Conference Paper
Non-parametric Statistical Analysis of Machine Learning Methods for Credit Scoring
Various machine learning techniques have been explored for credit scoring and management, but no consistent conclusions have been drawn on which method shows the best behaviour. This paper presents an experime...
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Article
Modelling and simulation of a real Internet radio service
Internet radios have become one of the most popular services on the Internet nowadays. This popularity has motivated the interest of the scientific community and a lot of research has been carried out in order...
