Grega Vrbančič

• PhD Computer Science
• Assistant Professor at University of Maribor

The analysis of non-stationary signals commonly includes the signal segmentation process, dividing such signals into smaller time series, which are considered stationary and thus easier to process. Most commonly, the methods for signal segmentation utilize complex filtering, transformation and feature extraction techniques together with various kin...

The analysis of biomedical signals, such as the EEGs for measuring brain activity, provides means for the diagnosis of various cognitive tasks and neural disorders. These signals are frequently transformed into visual representations such as spectrograms, which can reveal characteristic patterns and serve as a basis for classification, when extract...

V prostrani, neukročeni divjini umetne inteligence se je pojavila in postavila v ospredje nova generativna vrsta: veliki jezikovni modeli. Ti orjaki s svojimi milijardami parametrov tavajo po podatkovni pokrajini, lačni vzorcev in vpogledov v obilje besedil. Toda izkoriščanje njihove moči ni enostaven podvig. Lahko so nepredvidljivi, nagnjeni k hal...

Programski jezik Julia je v zadnjih letih pridobil veliko pozornosti zaradi svoje edinstvene kombinacije zmožnosti programiranja na visoki ravni, zmogljivosti in enostavne uporabe. Dandanes programski jezik spada med tri najpomembnejše jezike za namene podatkovne znanosti poleg jezika Python in R. Namen tega članka je zagotoviti pregled ključnih la...

Pitna voda je redek in dragocen vir, zato je ustrezno upravljanje tega vira bistveno za družbeni in gospodarski razvoj vsake države ali regije, saj je čista pitna voda uporabljena v vseh ključnih sektorjih gospodarstva, kot so kmetijstvo, industrija, energetika in promet. Pametne naprave so spremenile skoraj vse vidike našega življenja – in tudi pr...

Podjetja dandanes vneto tekmujejo v zagotavljanju najboljših možnih storitev svojim strankam, pri čemer podjetja na trgu električne energije niso izjema. Glede na negotove razmere na področju zagotavljanja energetskih virov, v katerih se je znašel svet, vse večje potrebe po električni energiji in trend strme rasti cen energije je postala optimizaci...

Dostopnost velikih količin podatkov in relativno poceni in dostopne računske moči je v zadnjih nekaj letih pripomogla k enormnemu vzponu računske inteligence. Čeprav se mnoga podjetja in organizacije že dolga leta poslužujejo uporabe različnih tehnik matematične optimizacije, ki se najpogosteje uporabljajo za namen optimizacije poslovnih procesov,...

The advances of information technology have brought us to a period of increasingly rapid creation, sharing and exchange of information. In general, we do not perceive just how much information we are creating by using modern information technology devices. Still, the reality here is that we are creating data on a business and personal level while i...

Planning sport sessions automatically is becoming a very important aspect of improving an athlete’s fitness. So far, many Artificial Intelligence methods have been proposed for planning sport training sessions. These methods depend largely on test data, where Machine Learning models are built, yet evaluated later. However, one of the biggest concer...

Companies nowadays eagerly compete in providing their customers with the best possible services, where the companies in the electrical energy market are no exception. As artificial intelligence and machine learning are considered the fundamental multi-purpose technologies and the innovation entity with the most significant potential for disruption,...

Childhood pneumonia, the leading cause of children mortality globally, is most commonly diagnosed based on the radiographic data, which requires radiologic interpretation of X-ray images. With recent advancements in the field of deep learning, the convolutional neural networks (CNN) have proven to be able to achieve great performance in medical ima...

For more than a year the COVID-19 epidemic is threatening people all over the world. Numerous researchers are looking for all possible insights into the new corona virus SARS-CoV-2. One of the possibilities is an in-depth analysis of X-ray images from COVID-19 patients, commonly conducted by a radiologist, which are due to high demand facing with o...

With the exponential growth of the presence of sport in the media, the need for effective classification of sports images has become crucial. The traditional approaches require carefully hand-crafted features, which make them impractical for massive-scale data and less accurate in distinguishing images that are very similar in appearance. As the de...

With the utilization of deep learning approaches, the key factors for a successful application are sufficient datasets with reliable ground truth, which are generally not easy to obtain, especially in the field of medicine. In recent years, this issue has been commonly addressed with the exploitation of transfer learning via fine-tuning, which enab...

Phishing stands for a fraudulent process, where an attacker tries to obtain sensitive information from the victim. Usually, these kinds of attacks are done via emails, text messages, or websites. Phishing websites, which are nowadays in a considerable rise, have the same look as legitimate sites. However, their backend is designed to collect sensit...

At this early stage in the COVID-19 epidemic, researchers are looking for all possible insights into the new corona virus SARS-CoV-2. One of the possibilities is an in-depth analysis of X-ray images from COVID-19 patients. We first developed a new adapted classification method that is able to identify COVID-19 patients based on a chest X-ray, and t...

With the advent of big data, interest for new data mining methods has increased dramatically. The main drawback of traditional data mining methods is the lack of comprehensibility. In this paper, the firefly algorithm was employed for standalone binary classification, where each solution is represented by two classification rules that are easy unde...

The rapid growth of data and the need for its proper analysis still presents a big problem for intelligent data analysis and machine learning algorithms. In order to gain a better insight into the problem being analyzed, researchers today are trying to find solutions for reducing the dimensionality of the data, by adopting algorithms that could rev...

Over the past years, the application of deep neural networks in a wide range of areas is noticeably increasing. While many state-of-the-art deep neural networks are providing the performance comparable or in some cases even superior to humans, major challenges such as parameter settings for learning deep neural networks and construction of deep lea...

Z razcvetom strojnega učenja in prodorom v vse veje gospodarstva, se nenehno povečuje tudi potreba po ustaljenih razvojnih procesih pri razvoju napovednih modelov strojnega učenja, ki bi olajšala njihovo vpeljavo in integracijo v obstoječe informacijske sisteme. Podobno kot je to že ustaljena praksa pri programskem inženirstvu, je potreba in želja...

Bat algorithm belongs to a class of swarm intelligence algorithms. Comparing to the other stochastic nature-inspired population-based algorithms, this has always been considered as computationally inexpensive. Due to its simplicity and effectiveness, it is very popular in scientific community by solving various optimization problems. However, not e...

Over last years the deep neural network has become one of the most popular classification methods with performance comparable and in some cases even superior to humans in the wide range of applications. However, there are still some major challenges regarding the deep neural networks. One of the biggest, with the huge impact on the classification p...

Analyzing sport data becomes, every year, more interesting for a wide spectrum of researchers in the sports domain. Recently, more and more data relating to sports have become available to researchers due to the huge progress of information technologies. New wearable devices enable athletes to track performance data that are saved into sport activi...

In last decades, the web and online services have revolutionized the modern world. However, by increasing our dependence on online services, as a result, online security threats are also increasing rapidly. One of the most common online security threats is a so-called Phishing attack, the purpose of which is to mimic a legitimate website such as on...

Analiza biomedicinskih signalov kot je EEG, za merjenje možganskih aktivnosti omogoča diagnosticiranje različnih kognitivnih nalog in nevroloških motenj. Pogosto so takšni signali pretvorjeni v vizualne predstavitve kot so spektrogrami, ki lahko razkrijejo karakteristične vzorce in služijo kot osnova za klasifikacijo. Za namen klasifikacije EEG sig...