Sandi Baressi Segota

According to our database, Sandi Baressi Segota authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Network Intrusion Detection: A Genetic Programming Symbolic Classifier Approach.

Nikola Andelic, Sandi Baressi Segota

Inf., March, 2024

Road Type Classification Using Time-Frequency Representations of Tire Sensor Signals.

Tamás Dózsa, Vedran Jurdana, Sandi Baressi Segota, János Volk, János Radó, Alexandros Soumelidis, Péter Kovács

IEEE Access, 2024

2023

Improvement of Malicious Software Detection Accuracy through Genetic Programming Symbolic Classifier with Application of Dataset Oversampling Techniques.

Nikola Andelic, Sandi Baressi Segota, Zlatan Car

Comput., November, 2023

Determining the influence and correlation for parameters of flexible forming using the random forest method.

Luka Sevsek, Sandi Baressi Segota, Zlatan Car, Tomaz Pepelnjak

Appl. Soft Comput., September, 2023

Localization and Classification of Venusian Volcanoes Using Image Detection Algorithms.

Daniel Duranovic, Sandi Baressi Segota, Ivan Lorencin, Zlatan Car

Sensors, February, 2023

The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data.

Nikola Andelic, Sandi Baressi Segota, Ivan Lorencin, Zlatan Car

Sensors, 2023

2022

Detection of Malicious Websites Using Symbolic Classifier.

Nikola Andelic, Sandi Baressi Segota, Ivan Lorencin, Matko Glucina

Future Internet, 2022

2021

Estimation of COVID-19 epidemic curves using genetic programming algorithm.

Nikola Andelic, Sandi Baressi Segota, Ivan Lorencin, Vedran Mrzljak, Zlatan Car

Health Informatics J., 2021

The influence of various optimization algorithms on nuclear power plant steam turbine exergy efficiency and destruction.

Vedran Mrzljak, Nikola Andelic, Ivan Lorencin, Sandi Baressi Segota

CoRR, 2021

Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression.

Andela Blagojevic, Tijana Sustersic, Ivan Lorencin, Sandi Baressi Segota, Nikola Andelic, Dragan Milovanovic, Danijela Baskic, Dejan Baskic, Natasa Zdravkovic Petrovic, Predrag Sazdanovic, Zlatan Car, Nenad Filipovic

Comput. Biol. Medicine, 2021

Preparation of Simplified Molecular Input Line Entry System Notation Datasets for use in Convolutional Neural Networks.

Sandi Baressi Segota, Nikola Andelic, Ivan Lorencin, Jelena Musulin, Daniel Stifanic, Zlatan Car

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Automated Grading of Oral Squamous Cell Carcinoma into Multiple Classes Using Deep Learning Methods.

Jelena Musulin, Daniel Stifanic, Ana Zulijani, Sandi Baressi Segota, Ivan Lorencin, Nikola Andelic, Zlatan Car

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

Utilization of Convolutional Neural Networks for Urinary Bladder Cancer Diagnosis Recognition From CT Imagery.

Ivan Lorencin, Klara Smolic, Sandi Baressi Segota, Nikola Andelic, Daniel Stifanic, Jelena Musulin, Dean Markic, Josip Spanjol, Zlatan Car

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020

Estimation of Gas Turbine Shaft Torque and Fuel Flow of a CODLAG Propulsion System Using Genetic Programming Algorithm.

Nikola Andelic, Sandi Baressi Segota, Ivan Lorencin, Zlatan Car

CoRR, 2020

Impact of COVID-19 on Forecasting Stock Prices: An Integration of Stationary Wavelet Transform and Bidirectional Long Short-Term Memory.

Daniel Stifanic, Jelena Musulin, Adrijana Miocevic, Sandi Baressi Segota, Roman Subic, Zlatan Car

Complex., 2020

Modeling the Spread of COVID-19 Infection Using a Multilayer Perceptron.

Zlatan Car, Sandi Baressi Segota, Nikola Andelic, Ivan Lorencin, Vedran Mrzljak

Comput. Math. Methods Medicine, 2020