Browsing Τμήμα Πληροφορικής / Department of Computer Science by Author "Karatsiolis, Savvas"
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Article
Conditional Generative Denoising Autoencoder
Karatsiolis, Savvas; Schizas, Christos N. (2019)We present a generative denoising autoencoder model that has an embedded data classifier in its architecture in order to take advantage of class-based discriminating features and produce better data samples. The proposed ...
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Article
Feature mapping through maximization of the atomic interclass distances
Karatsiolis, Savvas; Schizas, Christos N. (2015)We discuss a way of implementing feature mapping for classification problems by expressing the given data through a set of functions comprising of a mixture of convex functions. In this way, a certain pattern’s potential ...
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Conference Object
Implementing a software cache for genetic programming algorithms for reducing execution time
Karatsiolis, Savvas; Schizas, Christos N. (INSTICC Press, 2014)A cache holding reusable computations that are carried out during the execution of a genetic algorithm is implemented and maintained in order to improve the performance of the genetic algorithm itself. The main idea is ...
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Conference Object
Modular Domain-to-Domain Translation Network
Karatsiolis, Savvas; Schizas, Christos N.; Petkov, Nicolai (Springer International Publishing, 2018)We present a method for constructing and training a deep domain-to-domain translation network: two datasets describing the same classes (i.e. the source and target domains) are used to train a deep network that can translate ...
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Article
Modular domain-to-domain translation network
Karatsiolis, Savvas; Schizas, Christos N.; Petkov, Nicolai (2020)Domain-to-domain translation methods map images from a source domain to corresponding images from a target domain. The two domains contain images from the same classes, but these images look different. Recent approaches ...
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Conference Object
Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset
Karatsiolis, Savvas; Schizas, Christos N. (2012)The problem of diagnosing Pima Indian Diabetes from data obtained from the UCI Repository of Machine Learning Databases[6] is handled with a modified Support Vector Machine strategy. Performance comparison with previous ...
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Conference Object
Variable target values neural network for dealing with extremely imbalanced datasets
Karatsiolis, Savvas; Schizas, Christos N. (Springer Verlag, 2016)An original classification algorithm is proposed for dealing with extremely imbalanced datasets that often appear in biomedical problems. Its originality comes from the way a neural network is trained in order to get a ...