Aleksandar Miladinović
Aleksandar Miladinović
Post-Doc - University of Trieste & Institute for Maternal and Child Health - IRCCS Burlo Garofolo
Verified email at - Homepage
Cited by
Cited by
BCIAUT-P300: A multi-session and multi-subject benchmark dataset on autism for P300-based brain-computer-interfaces
M Simões, D Borra, E Santamaría-Vázquez, GBT-UPM, ...
Frontiers in Neuroscience 14, 568104, 2020
Early EEG alterations correlate with CTP hypoperfused volumes and neurological deficit: a wireless EEG study in hyper-acute ischemic stroke
M Ajčević, G Furlanis, A Miladinović, A Buoite Stella, P Caruso, M Ukmar, ...
Annals of Biomedical Engineering, 1-9, 2021
Effect of power feature covariance shift on BCI spatial-filtering techniques: A comparative study
A Miladinović, M Ajčević, J Jarmolowska, U Marusic, M Colussi, G Silveri, ...
Computer Methods and Programs in Biomedicine 198, 105808, 2021
Hyper-acute EEG alterations predict functional and morphological outcomes in thrombolysis-treated ischemic stroke: a wireless EEG study
M Ajčević, G Furlanis, M Naccarato, A Miladinović, A Buoite Stella, ...
Medical & Biological Engineering & Computing 59, 121-129, 2021
Cerebral hypoperfusion in post-COVID-19 cognitively impaired subjects revealed by arterial spin labeling MRI
M Ajčević, K Iscra, G Furlanis, M Michelutti, A Miladinović, A Buoite Stella, ...
Scientific Reports 13 (1), 5808, 2023
A CT perfusion based model predicts outcome in wake-up stroke patients treated with recombinant tissue plasminogen activator
M Ajčević, G Furlanis, AB Stella, T Cillotto, P Caruso, M Ridolfi, C Lugnan, ...
Physiological Measurement 41 (7), 075011, 2020
Emotion in consumer simulations for the development and testing of recommendations for marketing strategies
S Schaat, A Miladinović, S Wilker, S Kollmann, S Dickert, E Geveze, ...
Proceedings of the 3rd Workshop on Emotions and Personality in Personalized …, 2015
Slow cortical potential BCI classification using sparse variational bayesian logistic regression with automatic relevance determination
A Miladinović, M Ajčević, PP Battaglini, G Silveri, G Ciacchi, G Morra, ...
XV Mediterranean Conference on Medical and Biological Engineering and …, 2020
Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson’s Disease patients
A Miladinović, M Ajčević, P Busan, J Jarmolowska, G Silveri, M Deodato, ...
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
Combined and singular effects of action observation and motor imagery paradigms on resting-state sensorimotor rhythms
A Miladinović, A Barbaro, E Valvason, M Ajčević, A Accardo, PP Battaglini, ...
XV Mediterranean Conference on Medical and Biological Engineering and …, 2020
Performance of EEG Motor-Imagery based spatial filtering methods: A BCI study on Stroke patients
A Miladinović, M Ajčević, J Jarmolowska, U Marusic, G Silveri, ...
Procedia Computer Science 176, 2840-2848, 2020
Ocular-following responses in school-age children
A Miladinović, C Quaia, M Ajčević, L Diplotti, BG Cumming, S Pensiero, ...
Plos one 17 (11), e0277443, 2022
Toward a diagnostic CART model for Ischemic heart disease and idiopathic dilated cardiomyopathy based on heart rate total variability
A Accardo, L Restivo, M Ajčević, A Miladinović, K Iscra, G Silveri, M Merlo, ...
Medical & Biological Engineering & Computing 60 (9), 2655-2663, 2022
Modelling emotion and social norms for consumer simulations exemplified in social media
S Schaat, S Wilker, A Miladinovic, S Dickert, E Geveze, V Gruber
2015 International Conference on Affective Computing and Intelligent …, 2015
EEG changes and motor deficits in Parkinson’s disease patients: Correlation of motor scales and EEG power bands
A Miladinović, M Ajčević, P Busan, J Jarmolowska, M Deodato, ...
Procedia Computer Science 192, 2616-2623, 2021
Influence of smoking and other cardiovascular risk factors on heart rate circadian rhythm in normotensive and hypertensive subjects
A Accardo, G Silveri, M Ajčević, A Miladinović, L Pascazio
Plos one 16 (9), e0257660, 2021
Identification of ischemic heart disease by using machine learning technique based on parameters measuring heart rate variability
G Silveri, M Merlo, L Restivo, B De Paola, A Miladinović, M Ajčević, ...
2020 28th European Signal Processing Conference (EUSIPCO), 1309-1312, 2021
A data-driven machine learning approach for brain-computer interfaces targeting lower limb neuroprosthetics
A Dillen, E Lathouwers, A Miladinović, U Marusic, F Ghaffari, O Romain, ...
Frontiers in human neuroscience 16, 949224, 2022
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients
A Miladinović, M Ajčević, P Busan, J Jarmolowska, G Silveri, ...
2020 28th European Signal Processing Conference (EUSIPCO), 1353-1356, 2021
Smoking effect on the circadian rhythm of blood pressure in hypertensive subjects
G Silveri, L Pascazio, A Miladinovic, M Ajcevic, A Accardo
arXiv preprint arXiv:2011.05392, 2020
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