June 20, 2018, prof. dr hab. Igor Tralle, University of Rzeszów, “New types of multi-component gyrotropic metamaterials”
Abstract: Today we are the witnesses of the boom and an almost exponential growth of papers devoted to novel artificial materials which are called metamaterials. The talk will be devoted to new class of composite multi-component gyrotropic metamterials and the possible perspectives of …
June 13, 2018, dr inż. Piotr Lasek, University of Rzeszów, “Granular computing in clustering”
Abstract: The key-element of each clustering algorithm is determining distances between clustered objects. In order to make this process efficient various indexes are used. In our presentation we will focus on a modification of the k-means algorithm employing so-called pi-cube …
June 6, 2018, dr hab. inż Krzysztof Pancerz, University of Rzeszów, “Ontology of Places in Poland: the Current State and Directions of Research”
Abstract: The current state of development of the ontology of places in Poland will be presented. The ontology of places is being implemented using the OWL 2 Web Ontology Language. One of the directions of research is application of rough …
May 30, 2018, dr inż. Wiesław Paja, University of Rzeszów, “A decision rule based approach to generational feature selection”
Abstract: The increase of dimensionality of data is a target for many existing feature selection methods with respect to efficiency and effectiveness. In this paper, the all relevant feature selection method based on information gathered using generational feature selection is …May 16, 2018, mgr inż., Jarosław Szkoła, Departmet of Computer Science, University of Rzeszów, “Using of bezier curves for signal analysis, a new approach”
Abstract: During the presentation, the possibilities of analyzing signals with the use of bezier curves will be presented. The algorithms for detection of sequences in the data will be also described, as well as the method for determining the …
May 16, 2018, dr inż. Łukasz Maciura, UR i WSIiZ Rzeszów, “Associative Memories with Synaptic Delays”
Abstract: In the presentation a new concept of associative memories in which synaptic connections of the self-organizing neural network learn time delays between input sequence elements will be shown. Synaptic connections represent both the synaptic weights and expected delays …
January 24, 2018, Dr. Piotr Lasek, Density-Based Clustering with Constraints
Abstract: Clustering is one of the most important techniques in both artificial intelligence and data mining. It is used to identify unknown yet interesting and useful patterns or trends in datasets. In recent years a new branch of clustering …
