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Milos Ajcevic
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2020 – today
- 2024
- [j10]Simone Kresevic, Mauro Giuffrè
, Milos Ajcevic, Agostino Accardo, Lory S. Crocè, Dennis L. Shung:
Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework. npj Digit. Medicine 7(1) (2024) - [j9]Aleksandar Miladinovic
Optimizing Real-Time MI-BCI Performance in Post-Stroke Patients: Impact of Time Window Duration on Classification Accuracy and Responsiveness. Sensors 24(18): 6125 (2024) - [c22]Lorenzo Zucchini, Carlos Daniel Coda Zabetta, Milos Ajcevic, Agostino Accardo:
Optimization of an Algorithm for Hemoglobin Interference Compensation on a Simple Photometer for Bilirubin Measurement. MeMeA 2024: 1-6 - 2023
- [j8]Caterina Zanus
Sleep Spindle-Related EEG Connectivity in Children with Attention-Deficit/Hyperactivity Disorder: An Exploratory Study. Entropy 25(9): 1244 (2023) - [j7]Lorenzo Zucchini, Milos Ajcevic
Characterization of a Novel Approach for Neonatal Hematocrit Screening Based on Penetration Velocity in Lateral Flow Test Strip. Sensors 23(5): 2813 (2023) - 2022
- [j6]Agostino Accardo
Toward a diagnostic CART model for Ischemic heart disease and idiopathic dilated cardiomyopathy based on heart rate total variability. Medical Biol. Eng. Comput. 60(9): 2655-2663 (2022) - [j5]Milos Ajcevic
A Novel Non-Invasive Thermometer for Continuous Core Body Temperature: Comparison with Tympanic Temperature in an Acute Stroke Clinical Setting. Sensors 22(13): 4760 (2022) - [c21]Katerina Iscra, Aleksandar Miladinovic
Does Ectopic Beats Bring More Discriminatory Information to Diagnose Ischemic Heart Disease? CinC 2022: 1-4 - [c20]Aleksandar Miladinovic
Naive Bayesian-based Nomogram for Identification of Early Asymptomatic Dilated Cardiomyopathy. CinC 2022: 1-4 - [c19]Katerina Iscra, Aleksandar Miladinovic
Interpretable machine learning models to support differential diagnosis between Ischemic Heart Disease and Dilated Cardiomyopathy. KES 2022: 1378-1387 - [c18]Milos Ajcevic, Aleksandar Miladinovic
Wake-up Stroke Outcome Prediction by Interpretable Decision Tree Model. MIE 2022: 569-570 - 2021
- [j4]Aleksandar Miladinovic
Effect of power feature covariance shift on BCI spatial-filtering techniques: A comparative study. Comput. Methods Programs Biomed. 198: 105808 (2021) - [j3]Milos Ajcevic, Giovanni Furlanis, Marcello Naccarato, Paola Caruso, Paola Polverino
e-Health solution for home patient telemonitoring in early post-acute TIA/Minor stroke during COVID-19 pandemic. Int. J. Medical Informatics 152: 104442 (2021) - [j2]Milos Ajcevic
Hyper-acute EEG alterations predict functional and morphological outcomes in thrombolysis-treated ischemic stroke: a wireless EEG study. Medical Biol. Eng. Comput. 59(7-8): 121-129 (2021) - [c17]Aleksandar Miladinovic
EEG changes and motor deficits in Parkinson's disease patients: Correlation of motor scales and EEG power bands. KES 2021: 2616-2623 - [c16]Milos Ajcevic, Agostino Accardo, Maria Pia Francescato:
Modeling of glycogen resynthesis according to insulin concentration: towards a system for prevention of late-onset exercise-induced hypoglycemia in Type 1 diabetes patients. KES 2021: 2903-2911 - [c15]Aleksandar Miladinovic
Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences? KES 2021: 2912-2918 - [c14]Milos Ajcevic, Aleksandar Miladinovic
Ischemic lesion volume prediction in thrombolysis treated wake-up stroke patients. KES 2021: 2919-2925 - [i5]Aleksandar Miladinovic, Milos Ajcevic, Giulia Silveri, Laura Liguori, Lorenzo Pascazio, Agostino Accardo:
Ambulatory blood pressure monitoring versus office blood pressure measurement: Are there sex differences? CoRR abs/2106.02392 (2021) - 2020
- [c13]Aleksandar Miladinovic
Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson's Disease patients. EMBC 2020: 3058-3061 - [c12]Giulia Silveri, Marco Merlo, Luca Restivo
Identification of Ischemic Heart Disease by using machine learning technique based on parameters measuring Heart Rate Variability. EUSIPCO 2020: 1309-1312 - [c11]Aleksandar Miladinovic
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients. EUSIPCO 2020: 1353-1356 - [c10]Milos Ajcevic, Aleksandar Miladinovic
A Big-Data Variational Bayesian Framework for Supporting the Prediction of Functional Outcomes in Wake-Up Stroke Patients. ICCSA (1) 2020: 992-1002 - [c9]Aleksandar Miladinovic
Performance of EEG Motor-Imagery based spatial filtering methods: A BCI study on Stroke patients. KES 2020: 2840-2848 - [c8]Milos Ajcevic, Giovanni Furlanis, Aleksandar Miladinovic
Wireless EEG in hyper-acute ischemic stroke: correlation between neurophysiological alterations and CTP total hypoperfused volume. KES 2020: 2923-2929 - [c7]Giulia Silveri, Marco Merlo, Luca Restivo
A big - data classification tree for decision support system in the detection of dilated cardiomyopathy using heart rate variability. KES 2020: 2940-2948 - [c6]Milos Ajcevic, Manuela Deodato, Luigi Murena, Aleksandar Miladinovic
Assessment of mobility deficit and treatment efficacy in adhesive capsulitis by measurement of kinematic parameters using IMU sensors. MeMeA 2020: 1-5 - [i4]Aleksandar Miladinovic, Milos Ajcevic, Agostino Accardo:
Performance of Dual-Augmented Lagrangian Method and Common Spatial Patterns applied in classification of Motor-Imagery BCI. CoRR abs/2010.10359 (2020) - [i3]Giulia Silveri, Marco Merlo, Luca Restivo, Beatrice De Paola, Aleksandar Miladinovic, Milos Ajcevic, Gianfranco Sinagra, Agostino Accardo:
Identification of Ischemic Heart Disease by using machine learning technique based on parameters measuring Heart Rate Variability. CoRR abs/2010.15893 (2020) - [i2]Aleksandar Miladinovic, Milos Ajcevic, Pierpaolo Busan, Joanna Jarmolowska, Giulia Silveri, Susanna Mezzarobba, Piero Paolo Battaglini, Agostino Accardo:
Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients. CoRR abs/2010.15899 (2020) - [i1]Aleksandar Miladinovic, Milos Ajcevic, Pierpaolo Busan, Joanna Jarmolowska, Giulia Silveri, Manuela Deodato, Susanna Mezzarobba, Piero Paolo Battaglini, Agostino Accardo:
Evaluation of Motor Imagery-Based BCI methods in neurorehabilitation of Parkinson's Disease patients. CoRR abs/2011.03676 (2020)
2010 – 2019
- 2019
- [c5]Federica De Dea, Milos Ajcevic, Matteo Stecca, Caterina Zanus, Marco Carrozzi
A Big-Data-Analytics Framework for Supporting Classification of ADHD and Healthy Children via Principal Component Analysis of EEG Sleep Spindles Power Spectra. KES 2019: 1584-1590 - 2016
- [j1]Pierluigi D'Antrassi, Milos Ajcevic, Kira Stellato, Andrea Di Lenarda, Sara Marceglia
Personalized support for chronic conditions. Appl. Clin. Inform. 07(03): 633-645 (2016) - [c4]Irene Lasorsa, Milos Ajcevic, Pierluigi D'Antrassi, G. Carlini, P. Agostino Accardo, Sara Marceglia
Promoting health for chronic conditions: A novel approach that integrates clinical and personal decision support. MIPRO 2016: 644-648 - 2015
- [c3]Milos Ajcevic, Umberto Lucangelo, P. Agostino Accardo:
Estimation of the difference between peak airway and tracheal pressures during HFPV. EUSIPCO 2015: 2566-2570 - 2013
- [c2]Milos Ajcevic, Agostino Accardo, Elisa Fornasa, Umberto Lucangelo:
Estimation of pressure drop in pediatric endotracheal tubes during HFPV. EUSIPCO 2013: 1-5 - [c1]Milos Ajcevic, Andrea De Lorenzo, Agostino Accardo, Alberto Bartoli, Eric Medvet:
A novel estimation methodology for tracheal pressure in mechanical ventilation control. ISPA 2013: 695-699
Coauthor Index
aka: Agostino Accardo
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last updated on 2024-10-23 20:36 CEST by the dblp team
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