| 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 | 38 | 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 | 33 | 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 | 32 | 2023 |
| 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 | 31 | 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 | 30 | 2021 |
| 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 | 20 | 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 | 18 | 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 | 17 | 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 | 15 | 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 | 14 | 2022 |
| 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 | 14 | 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 | 14 | 2020 |
| 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 | 10 | 2022 |
| 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 | 9 | 2021 |
| 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 | 9 | 2015 |
| 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 | 7 | 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 | 7 | 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 | 6 | 2022 |
| Interpretable machine learning models to support differential diagnosis between Ischemic Heart Disease and Dilated Cardiomyopathy K Iscra, A Miladinović, M Ajčević, S Starita, L Restivo, M Merlo, A Accardo Procedia Computer Science 207, 1378-1387, 2022 | 4 | 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 | 4 | 2021 |
Miloš AjčevićUniversity of TriesteVerified email at units.it
