Nikola Anđelić

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 9

Top Topics

Machine Learning

Artificial Intelligence

Respiratory Syndrome Coronavirus

Top Venues

Sensors (Basel, Switzerland)

International journal of environmental research and public health

Journal of personalized medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Nikola Anđelić, Sandi Baressi Šegota
Development of Symbolic Expressions Ensemble for Breast Cancer Type Classification Using Genetic Programming Symbolic Classifier and Decision Tree Classifier. Cancers 15 (13) (2023)
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, Zlatan Car
The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data. Sensors (Basel, Switzerland) 23 (1) (2022)
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, Zlatan Car
The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data. Sensors (Basel, Switzerland) 23 (1) (2022)
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, Zlatan Car
The Development of Symbolic Expressions for Fire Detection with Symbolic Classifier Using Sensor Fusion Data. Sensors (Basel, Switzerland) 23 (1) (2022)
Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, Anđela Blagojević, Tijana Šušteršić, Alen Protić, Miloš Arsenijević, Tomislav Ćabov, Nenad D Filipović, Zlatan Car
Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks. Journal of personalized medicine 11 (1) (2021)
Nikola Anđelić, Sandi Baressi Šegota, Ivan Lorencin, Zdravko Jurilj, Tijana Geroski, Anđela Blagojević, Alen Protić, Tomislav Ćabov, Nenad Filipović, Zlatan Car
Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm. International journal of environmental research and public health 18 (3) (2021)
Sandi Baressi Šegota, Ivan Lorencin, Klara Smolić, Nikola Anđelić, Dean Markić, Vedran Mrzljak, Daniel Štifanić, Jelena Musulin, Josip Španjol, Zlatan Car
Semantic Segmentation of Urinary Bladder Cancer Masses from CT Images: A Transfer Learning Approach. Biology 10 (11) (2021)
Jelena Musulin, Sandi Baressi Šegota, Daniel Štifanić, Ivan Lorencin, Nikola Anđelić, Tijana Geroski, Anđela Blagojević, Nenad D Filipović, Tomislav Ćabov, Elitza P Markova-Car
Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International journal of environmental research and public health 18 (8) (2021)
Ivan Lorencin, Sandi Baressi Šegota, Nikola Anđelić, Vedran Mrzljak, Tomislav Ćabov, Josip Španjol, Zlatan Car
On Urinary Bladder Cancer Diagnosis: Utilization of Deep Convolutional Generative Adversarial Networks for Data Augmentation. Biology 10 (3) (2021)