February 16, 2022, 2 p.m. room 228, dr hab. Piotr Artiemjew, prof. UWM, University of Warmia and Mazury, Olsztyn, “Real Toy Decision Systems Generator for Presenting Data Mining Algorithms” (the lecture will also be available online by invitation)
Abstract: Probably every data scientist has come across Quinlan’s toy decision system (the decision problem of playing tennis), which has become a popular system for presenting toy examples of ideas for new data science algorithms. In this work, we address …
December 15, 2021, 2 p.m., room 228, dr inż. Piotr Grochowalski, University of Rzeszów, “The Use of PNeS in the Control of Mobile Robots ”
Abstract: The Petri Net System (PNeS for short) is an integrated graphical computer tool for building, modifying, analyzing many types of Petri nets (including fuzzy Petri nets), as well as controlling a mobile robot. The aim of the lecture is …
November 24, 2021, 2 p.m. room 228, dr inż. Leszek Gajecki, University of Information Technology and Management, Rzeszów, “Acoustic modelling for speech recognition”
Abstract: The main aim of presented work is acoustic modelling for telephone speech recognition. The speech recognition of such speech as an example of conversational speech brings difficulty because of low quality of speech, different speakers voice, overlapping of speakers …
November 3, 2021, 2 p.m. room 228, prof. Zbigniew Suraj, University of Rzeszów, “About Making Approximate Decisions in Real-time Using Fuzzy Petri Nets with Priorities”
Abstract. The lecture will be devoted to the methodology of building a parallel algorithm represented by a generalized fuzzy Petri net with priorities. The knowledge necessary to build such a net along with its parameters comes almost entirely from the …
December 19, 2019, 4 p.m., room 228, Prof. Janusz Konrad, “Privacy-Preserving Localization and Recognition of Human Activities”
Uwaga! Zmiana godziny i sali wykładu: 19 grudnia 2019 (czwartek), godz. 16:00, sala 228.
Bio: Janusz Konrad received Master’s degree from Technical University of Szczecin, Poland in 1980 and PhD degree from McGill University, Montreal, Canada …
June 13, 2019, 10 a.m., room 243, Prof. Mikhail Moshkov (jointly with Fawaz Alsolami, Mohammad Azad, and Igor Chikalov), “Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions”
Abstract. We consider examples of problems and decision tables with many-valued decisions and discuss the difference between decision and inhibitory trees and rules for decision tables with many-valued decisions. We mention some relatively simple results obtained earlier for decision trees, …
June 12, 2019, 12 a.m., room 228, Dr. Lesia Dobuliak, “The Concept of Modelling the Tendencies of Ukraine’s Small Business Development”
Abstract. In our research we have made an analysis of modern state and development tendencies of the small-scale enterprise in Ukraine, have constructed trend models for research of the dynamics of small business development process. We have also elaborated conceptual …
December 12, 2018, dr hab. inż. Krzysztof Pancerz, prof. UR, “Fuzzy set methods in the Classification and Prediction Software System (CLAPSS)”
Abstract: The talk will be devoted to presentation of fuzzy set methods implemented in the Classification and Prediction Software System (CLAPSS). A special attention will be focused on a new module, added to CLPASS, for graphical fuzzification of attribute …
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 …
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 …
