Impact of EEG Signal Preprocessing Methods on Machine Learning Models for Affective Disorders
Explainability of Machine Learning Models in Prediction of Affective Disorders
Comparison of machine and deep learning models in the classification of affective disorders
Classification of Affective Disorders Using Entropy as an EEG Feature
Publicly Available Datasets for Predictive Maintenance in the Energy Sector: A Review
Role of machine learning in knowledge management
Classification of Affective Disorders using Linear Features of EEG signal
Machine learning and spectroscopy
Comparison of Convolutional Neural Networks for Affective Disorder Classification
Depression Diagnosis Index as a Quantitative Classification Method of Affective Disorders
Frequency-dependent spatial distribution of features for Major Depressive Disorder (MDD)
Borderline and depression: A thin EEG line
Classification of Affective Disorders Using Machine Learning Methods
Steady State Visual Evoked Potentials Feature Extraction
Jovičić, Eda; Jović, Alan; Cifrek, Mario "Impact of EEG Signal Preprocessing Methods on Machine Learning Models for Affective Disorders" // Proceedings of 47th ICT and Electronics Convention (MIPRO) / Skala, Karolj; Mornar, Vedran (ur.). Rijeka: Croatian Society for Information, Communication and Electronic Technology - MIPRO, 2024. str. 1374-1379
E. Jovicic, D. Primorac, M. Cupic and A. Jovic, "Publicly Available Datasets for Predictive Maintenance in the Energy Sector: A Review," in IEEE Access, vol. 11, pp. 73505-73520, 2023, doi: 10.1109/ACCESS.2023.3295113.
Vukojević, Jakša; Mulc, Damir; Kinder, Ivana; Jovičić, Eda; Friganović, Krešimir; Savić, Aleksandar; Cifrek, Mario; Vidović, Domagoj Borderline and Depression: A Thin EEG Line // Clinical eeg and neuroscience (2021) doi:10.1177/15500594211060830 (znanstveni, online first)
Teaching
University undergraduate
- Knowledge Management (Lecturer in charge, Lecturer in charge)
- Knowledge Management (Lecturer in charge, Lecturer in charge)
- Software Engineering (Laboratory exercises)
- Software Engineering (Laboratory exercises)
University graduate
- Introduction to Data Science (Lecturer in charge, Laboratory exercises)
- Introduction to Data Science (Lecturer in charge, Laboratory exercises)
- Data Mining (Laboratory exercises)