Invited talk on “Local Entropy Measures with Applications in Biomedicine” by Assis. Prof. Jonatan Lerga, PhD, at the 7th Conference on Information Theory and Complex Systems (TINKOS 2019), Belgrade, Serbia, was held on the 15th of October, 2019.
Laboratory for Information Processing and Pattern Recognition
Visiting Professor Lecture: László Szabó form the Eötvös Loránd University, Budapest, Hungary
Prof. László Szabó (Eötvös Loránd University, Budapest, Hungary) held an interesting lecture on the stable matching problem at the Faculty of Engineering on 3rd of October, 2019. The event took place at the Faculty of Engineering, University of Rijeka (www.riteh.uniri.hr).
Organized Congress “2nd Conference on Machine Learning for Gravitational Waves, Geophysics and Control Systems”
A congress “2nd Conference on Machine Learning for Gravitational Waves, Geophysics and Control Systems” was organized at the Faculty of Engineering with the participation of some of the leading scientists in the fields of physics, signal processing, and artificial intelligence from 20 countries. The conference was organized at the Faculty of Engineering, University of Rijeka […]
Invited talk at the Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Ljubljana
Invited talk on “Computer-Aided Decision Support Systems in Medicine” by Assis. Prof. Jonatan Lerga, PhD, at the Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia, was held on the 9th of May, 2019.
Invited talk at the Faculty of Medicine, Vasile Goldis Western University of Arad, Arad, Romania
Invited talk on “Computer-Aided Biomedical Signal Analysis” by Assis. Prof. Jonatan Lerga, PhD, at the Faculty of Medicine, Vasile Goldis Western University of Arad, Arad, Romania, was held on the 7th of May, 2019.
Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients
This paper proposes an automatic method for extraction of useful information content from time-frequency distributions of nonstationary signals heavily corrupted by additive noise. The proposed method, which does not require prior knowledge of the signal, initially performs a one-dimensional clustering of the time-frequency distribution aimed at segmenting it into a fixed number of classes. This […]
Prof. Iven Mareels, Head of the IBM Research Lab, held a talk on the Artificial intelligence – Perspectives: a Brief History, Present Developments, and Future Promises”
Prof. dr. sc. I. Mareels, Head of the IBM Research Lab of Australia, held an invited speech at the Faculty of Engineering on the “Artificial intelligence – Perspectives: a Brief History, Present Developments, and Future Promises” on the 10th of April, 2019. The event took place at the Faculty of Engineering, University of Rijeka (www.riteh.uniri.hr).
Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection
The paper proposes a segmentation and classification technique for fracture detection in X-ray images. This novel rotation-invariant method introduces the concept of local entropy for de-noising and removing tissue from the analysed X-ray images, followed by an improved procedure for image segmentation and the detection of regions of interest. The proposed local Shannon entropy was […]
Invited talk at the Institute of Informatics, University of Szeged, Hungary
Invited talk on “Data-Driven Adaptive Filtering with Applications” by Assis. Prof. Jonatan Lerga, PhD, at the Institute of Informatics, University of Szeged, Hungary, was held on the 20th of March, 2019.
Support Vector Machine State Estimation
The power system state estimator based on the support vector machine (SVM) and the weighted least squares (WLS) method is presented in the paper. The WLS provides state estimations necessary for creating SVM model which is then used for state estimation. The developed algorithm was tested on the IEEE systems, and the performance indicators were […]
