Eda Kalafatić

About

Eda Kalafatić is a researcher at the Faculty of Electrical Engineering and Computing, University of Zagreb where she also received the M.Sc. degree in electronic and computer engineering. Her current research interests include signal processing, biomedical engineering and machine learning with applications.

Work

Faculty of Electrical Engineering and Computing in Zagreb

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Assistant

Croatia

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Faculty of Electrical Engineering and Computing in Zagreb

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Researcher

Croatia

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Education

Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva

Croatia
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mag. ing. el. techn. inf.

Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva

Croatia
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univ. bacc. ing. el. techn. inf.

Publications

Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning

Sensors

journal-article

Impact of EEG Signal Preprocessing Methods on Machine Learning Models for Affective Disorders

2024 47th MIPRO ICT and Electronics Convention (MIPRO)

conference-paper

Publicly Available Datasets for Predictive Maintenance in the Energy Sector: A Review

IEEE Access

journal-article

Publicly Available Datasets for Predictive Maintenance in the Energy Sector: A Review

IEEE Access

journal-article

Borderline and Depression: A Thin EEG Line

Clinical EEG and Neuroscience

journal-article

Borderline and Depression: A Thin EEG Line

Clinical EEG and Neuroscience

journal-article