Publicatii recente
Publicatii recente
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An efficient multi-robot path planning solution using A* and coevolutionary algorithms (2022)
Abstract Multi-robot path planning has evolved from research to real applications in warehouses and other domains; the knowledge on this topic is reflected in the large amount of related research […]
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Comparing Automatic Approaches for Mvc Architecture Detection in Ios Codebases (2022)
Abstract Model View Controller (MVC) is one of the most widespread and used software architecture in client-side software. We are interested in automatically inferring and analyzing MVC architectures from mobile […]
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On What Kind of Applications Can Clustering Be Used for Inferring MVC Architectural Layers? (2022)
Abstract Mobile applications are one of the most used pieces of software nowadays, as they continue to expand, the architecture of those software systems becomes more important. In the fast-paced […]
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Pathways for statically mining the Model-View-Controller software architecture on mobile applications (2022)
Abstract In the last few years, we have seen an increase in the number of mobile applications and their usage. The architectural pattern and correctness represent a major factor in […]
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An Evaluation of Image Texture Descriptors and their Invariant Properties (2022)
Abstract Image processing applications include image classification, image segmentation, image synthesis and many others. Each such task depends on extracting an effective set of features to characterize the images, and […]
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A Game Theoretic Decision Tree for Binary Classification (2022)
Abstract Decision trees are some of the most popular and intuitive classification techniques. Based on the recursive division of the data, the goal is to ultimately identify regions in the […]
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A New Game Theoretic Based Random Forest for Binary Classification (2022)
Abstract Decision trees and random forests are some of the most popular machine learning tools for binary classification, being used in many practical applications. Both methods provide a neighborhood for […]
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Applying Deep Q-learning for Multi-agent Cooperative-Competitive Environments (2022)
Abstract Cooperative-competitive social group dynamics may be modelled with multi-agent environments with a large number of agents from a few distinct agent-types. Even the simplest games modelling social interactions are […]
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The Impact of Convolutional Neural Network Parameters in the Binary Classification of Mammograms (2022)
Abstract Breast cancer is the most commonly diagnosed type of cancer. It is essential to classify patients as quickly as possible into groups with a high or low risk of […]
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An Unsupervised Threshold-based GrowCut Algorithm for Mammography Lesion Detection (2022)
Abstract Breast cancer causes numerous deaths worldwide; yet the numbers have decreased in the past years as a result of computer-aided diagnosis and proper treatment. The current paper is addressed […]
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