Publications

Programski jezik Julia je v zadnjih letih pridobil veliko pozornosti zaradi svoje edinstvene kombinacije zmožnosti programiranja na …

Smart agriculture takes advantage of modern computational approaches that vary from IoT, cloud computing, and artificial intelligence. …

Companies nowadays eagerly compete in providing their customers with the best possible services, where the companies in the electrical …

The advances of information technology have brought us to a period of increasingly rapid creation,sharing and exchange of information. …

For more than a year the COVID-19 epidemic is threatening people all over the world. Numerous researchers are looking for all possible …

Planning sport sessions automatically is becoming a very important aspect of improving an athlete’s fitness. So far, many …

V doktorski disertaciji predstavimo problematiko izbire uglaševanih slojev konvolucijskih nevronskih mrež pri strojnem učenju s …

Childhood pneumonia, the leading cause of children mortality globally, is most commonly diagnosed based on the radiographic data, which …

With the exponential growth of the presence of sport in the media, the need for effective classification of sports images has become …

With the utilization of deep learning approaches, the key factors for a successful application are sufficient datasets with reliable …

Phishing stands for a fraudulent process, where an attacker tries to obtain sensitive information from the victim. Usually, these kinds …

At this early stage in the COVID-19 epidemic, researchers are looking for all possible insights into the new corona virus SARS-CoV-2. …

With the advent of big data, interest for new data mining methods has increased dramatically. The main drawback of traditional data …

Most commonly, diagnosing the brain hemorrhage - a condition caused by a brain artery busting and causing bleeding is done by medical …

Over the past years, the application of deep neural networks in a wide range of areas is noticeably increasing. While many …

The rapid growth of data and the need for its proper analysis still presents a big problem for intelligent data analysis and machine …

Bat algorithm belongs to a class of swarm intelligence algorithms. Comparing to the other stochastic nature-inspired population-based …

The analysis of non-stationary signals commonly includes the signal segmentation process, dividing such signals into smaller time …

Z razcvetom strojnega učenja in prodorom v vse veje gospodarstva, se nenehno povečuje tudi potreba po ustaljenih razvojnih procesih pri …

Analyzing sport data becomes, every year, more interesting for a wide spectrum of researchers in the sports domain. Recently, more and …

Over last years the deep neural network has become one of the most popular classification methods with performance comparable and in …

The analysis of biomedical signals, such as the EEGs for measuring brain activity, provides means for the diagnosis of various …

In last decades, the web and online services have revolutionizedthe modern world. However, by increasing our dependence ononline …

Uporaba procesov strojnega učenja za večino podjetij predstavlja velik izziv, saj zahteva spremembo obstoječih poslovnih procesov, drag …

V zadnjih letih je strojno učenje postalo eden od temeljnih elementov informacijske tehnologije in s tem osrednji, …

Nature-inspired algorithms are a very popular tool for solving optimization problems (Yang 2014), (Hassanien and Emary 2016). Numerous variants of nature-inspired algorithms have been developed (Iztok Fister Jr. and Fister 2013) since the beginning of their era. To prove their versatility, those were tested in various domains on various applications, especially when they are hybridized, modified or adapted. However, implementation of nature-inspired algorithms is sometimes a difficult, complex and tedious task. In order to break this wall, NiaPy is intended for simple and quick use, without spending time for implementing algorithms from scratch.

Analiza biomedicinskih signalov kot je EEG, za merjenje možganskih aktivnosti omogoča diagnosticiranje različnih kognitivnih nalog in …

V magistrskem delu smo se dotaknili področja globokega učenja, spoznali smo pristope in arhitekture algoritmov globokega učenja ter jih …

Živimo v sodobni informacijski družbi, katera nevedoč, na vsakem koraku z uporabo trenutnih razpoložljivih tehnologij ter spleta, …