Classification

Hyper-parameter optimization of convolutional neural networks for classifying COVID-19 X-ray images

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

Grega Vrbančič, Špela Pečnik, Vili Podgorelec

Efficient ensemble for image-based identification of Pneumonia utilizing deep CNN and SGD with warm restarts

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

Grega Vrbančič, Vili Podgorelec

Classification of Similar Sports Images Using Convolutional Neural Network with Hyper-Parameter Optimization

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

Vili Podgorelec, Špela Pečnik, Grega Vrbančič

Transfer Learning With Adaptive Fine-Tuning

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

Grega Vrbančič, Vili Podorelec

Identification of COVID-19 X-ray Images using CNN with Optimized Tuning of Transfer Learning

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

Grega Vrbančič, Špela Pečnik, Vili Podgorelec

On the Potential of the Nature-Inspired Algorithms for Pure Binary Classification

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

Iztok Jr. Fister, Iztok Fister, Dušan Fister, Grega Vrbančič, Vili Podgorelec

Transfer Learning Tuning Utilizing Grey Wolf Optimizer for Identification of Brain Hemorrhage from Head CT Images

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

Grega Vrbančič, Milan Zorman, Vili Podgorelec

Parameter Setting for Deep Neural Networks Using Swarm Intelligence on Phishing Websites Classification

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

Grega Vrbančič, Iztok Jr. Fister, Vili Podgorelec

Applying Differential Evolution with Threshold Mechanism for Feature Selection on a Phishing Websites Classification

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

Lucija Brezočnik, Iztok Jr. Fister, Grega Vrbančič

Automatic Detection of Heartbeats in Heart Sound Signals Using Deep Convolutional Neural Networks

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

Grega Vrbančič, Iztok Jr. Fister, Vili Podgorelec