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A mathematical analysis of EDAs with distance-based exponential models
(Springer, 2022)
Estimation of Distribution Algorithms have been successfully used to solve permutation-based Combinatorial Optimization Problems. In this case, the algorithms use probabilistic models specifically designed for codifying ...
Two Datasets of Defect Reports Labeled By a Crowd of Annotators of Unknown Reliability
(Elsevier, 2018-06)
Classifying software defects according to any defined taxonomy is not straightforward. In order to be used for automatizing the classification of software defects, two sets of defect reports were collected from public issue ...
Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients
(Public Library of Science, 2009-07-20)
Differences in gene expression patterns have been documented not only in Multiple Sclerosis patients versus healthy controls but also in the relapse of the disease. Recently a new gene expression modulator has been identified: ...
Prioritization of candidate cancer genes-an aid to oncogenomic studies
(Oxford University Press, 2008-10)
The development of techniques for oncogenomic analyses such as array comparative genomic hybridization, messenger RNA expression arrays and mutational screens have come to the fore in modern cancer research. Studies utilizing ...
Transfer learning in hierarchical dialogue topic classification with neural networks
(IEEE, 2020-09-28)
Knowledge transfer between tasks can significantly improve the efficiency of machine learning algorithms. In supervised natural language understanding problems, this sort of improvement is critical since the availability ...
Analysis of the Sensitivity of the End-Of-Turn Detection Task to Errors Generated by the Automatic Speech Recognition Process
(Elsevier, 2021-04)
An End-Of-Turn Detection Module (EOTD-M) is an essential component of automatic Spoken Dialogue Systems. The capability of correctly detecting whether a user?s utterance has ended or not improves the accuracy in interpreting ...
A Review of Estimation of Distribution Algorithms in Bioinformatics
(Biomed Central, 2008-09-11)
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most ...
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation
(Elsevier, 2021-10-28)
[EN]Choosing the best kernel is crucial in many Machine Learning applications. Gaussian Processes are a state-of-the-art technique for regression and classification that heavily relies on a kernel function. However, in the ...
Analysis of dominant classes in universal adversarial perturbations
(Elsevier, 2022-01)
The reasons why Deep Neural Networks are susceptible to being fooled by adversarial examples remains an open discussion. Indeed, many different strategies can be employed to efficiently generate adversarial attacks, some ...
A revisited branch-and-cut algorithm for large-scale orienteering problems
(Elsevier, 2024-02)
The orienteering problem is a route optimization problem which consists of finding a simple cycle that maximizes the total collected profit subject to a maximum distance limitation. In the last few decades, the occurrence ...