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Vladimir Urosevic
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2020 – today
- 2025
- [j4]Vladimir Urosevic, Andrej M. Savic:
Temporal clustering for accurate short-term load forecasting using Bayesian multiple linear regression. Appl. Intell. 55(1): 19 (2025) - 2024
- [j3]Vladimir Urosevic:
Determining the model for short-term load forecasting using fuzzy logic and ANFIS. Soft Comput. 28(19): 11457-11470 (2024) - 2023
- [c10]Vladimir Urosevic, Nikola Vojicic, Aleksandar Jovanovic, Borko Kostic, Sergio González-Martínez, María Fernanda Cabrera-Umpiérrez, Manuel Ottaviano, Luca Cossu, Andrea Facchinetti, Giacomo Cappon:
BRAINTEASER Architecture for Integration of AI Models and Interactive Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Progression Prediction and Management. ICOST 2023: 16-25 - 2022
- [c9]Enea Parimbelli, Cristiana Larizza, Vladimir Urosevic, Andrea Pogliaghi, Manuel Ottaviano, Cindy Cheng, Vincent Benoit, Daniele Pala, Vittorio Casella, Riccardo Bellazzi, Paolo Giudici:
The PERISCOPE Data Atlas: A Demonstration of Release v1.2. AIME 2022: 412-415 - [c8]Vladimir Urosevic, Arianna Dagliati, Manuel Ottaviano, Nikola Vojicic, Cristiana Larizza, Daniele Pala:
Design and Optimization of REST Services for Performance and Scalability in Provision of Big Environmental Data to Exploratory Analytics of their Effects on Progression of ALS and MS. ICCE-Berlin 2022: 1-6 - [c7]Sergio González-Martínez, María Fernanda Cabrera-Umpiérrez, Manuel Ottaviano, Vladimir Urosevic, Nikola Vojicic, Stefan Spasojevic, Ognjen Milicevic:
Novel Interactive BRAINTEASER Tools for Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) Management. ICOST 2022: 302-310 - 2020
- [c6]Vladimir Urosevic, Marina Andric, José A. Pagán:
Baseline Modelling and Composite Representation of Unobtrusively (IoT) Sensed Behaviour Changes Related to Urban Physical Well-Being. ICOST 2020: 155-167
2010 – 2019
- 2019
- [j2]Aitor Almeida, Rubén Mulero, Piercosimo Rametta, Vladimir Urosevic, Marina Andric, Luigi Patrono:
A critical analysis of an IoT - aware AAL system for elderly monitoring. Future Gener. Comput. Syst. 97: 598-619 (2019) - 2018
- [j1]Rubén Mulero, Vladimir Urosevic, Aitor Almeida, Christos Tatsiopoulos:
Towards ambient assisted cities using linked data and data analysis. J. Ambient Intell. Humaniz. Comput. 9(5): 1573-1591 (2018) - [c5]Vladimir Urosevic, Paolo Paolini, Christos Tatsiopoulos:
Integration of Complex IoT Data with Case-Specific Interactive Expert Knowledge Feedback, for Elderly Frailty Prevention. ICOST 2018: 270-276 - [c4]Vladimir Urosevic, Marina Andric, Milan Vukicevic, Christos Tatsiopoulos:
A Highly Configurable Flexible Analytic Model for MCI/Frailty Risk Detection in Age-friendly Cities. SoftCOM 2018: 1-6 - 2017
- [c3]Vladimir Urosevic, Paolo Paolini, Christos Tatsiopoulos:
An interactive environment for managing detected data towards geriatric prevention. RTSI 2017: 1-5 - [c2]Vladimir Urosevic, Paolo Paolini, Christos Tatsiopoulos:
Configurable interactive environment for hybrid knowledge- and data-driven geriatric risk assessment. SoftCOM 2017: 1-7 - [c1]Rubén Mulero, Vladimir Urosevic, Aitor Almeida:
Linked open data management in ambient assisted cities. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017: 1-8
Coauthor Index
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