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ORCIDNemanja Milosevic
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2020 – today
- 2025
[j6]Milos Rackovic, Jovana Vidakovic, Nemanja Milosevic:
Extensions and Detailed Analysis of Synergy Between Traditional Classification and Classification Based on Negative Features in Deep Convolutional Neural Networks. Cogn. Comput. 17(1): 20 (2025)- 2024
- [j5]Natasa Sukur
, Nemanja Milosevic, Doni Pracner, Zoran Budimac:
Automated program improvement with reinforcement learning and graph neural networks. Soft Comput. 28(3): 2593-2604 (2024) - 2023
- [j4]Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic:
Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. SIAM J. Optim. 33(2): 394-423 (2023) - [c7]Aleksandar Armacki, Nemanja Milosevic, Dragana Bajovic, Soummya Kar, Dusan Jakovetic, Arian Bakhtiarnia, Lukas Esterle, Adrian Muscat, Thomas Festi:
Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. EUSIPCO 2023: 875-879 - [c6]Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis:
Dynamic Split Computing for Efficient Deep EDGE Intelligence. ICASSP 2023: 1-5 - 2022
- [j3]George Bravos, Antonio J. Cabrera, Camilo Correa, Dragan Danilovic, Nikolaos Evangeliou, Gilad Ezov, Zoran Gajica, Dusan Jakovetic, Leonidas Kallipolitis, Milan Lukic, Julien-Etienne Mascolo, Davide Masera, Raúl Mazo, Ivan Mezei, Andreas I. Miaoudakis, Nemanja Milosevic, William Oliff, Jacques Robin, Michail Smyrlis, Georgia Sakellari, Giorgos Stamatis, Dusan Stamenkovic, Srdan Skrbic, Carine Souveyet, Spyridon Vantolas, Giorgos Vasiliadis, Dejan Vukobratovic:
Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. IEEE Access 10: 124747-124765 (2022) - [c5]Nemanja Milosevic, Dusan Jakovetic, Srdjan Skrbic, Milos Savic, Dusan Stamenkovic, Julien-Etienne Mascolo, Davide Masera:
BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. EUSIPCO 2022: 1097-1101 - [p2]Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Lidija Fodor, Spiros Fotis, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Mario Maawad Marcos, Ramon Martín de Pozuelo, Miquel Martínez, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov:
Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case. Technologies and Applications for Big Data Value 2022: 273-297 - [p1]Andreas Alexopoulos, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Spiros Fotis, Gianmarco Genchi, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Vlatka Katusic, Evangelia Kavakli, Despina Kopanaki, Christoforos Leventis, Miquel Martínez, Julien-Etienne Mascolo, Nemanja Milosevic, Enric Pages i Montanera, Gerald H. Ristow, Hernan Ruiz-Ocampo, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giuseppe Danilo Spennacchio, Dusan Stamenkovic, Giorgos Vasiliadis, Michael Vinov:
Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case. Technologies and Applications for Big Data Value 2022: 321-344 - [i2]Dusan Jakovetic, Dragana Bajovic, Anit Kumar Sahu, Soummya Kar, Nemanja Milosevic, Dusan Stamenkovic:
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise. CoRR abs/2204.02593 (2022) - [i1]Arian Bakhtiarnia, Nemanja Milosevic, Qi Zhang, Dragana Bajovic, Alexandros Iosifidis:
Dynamic Split Computing for Efficient Deep Edge Intelligence. CoRR abs/2205.11269 (2022) - 2021
- [j2]Nemanja Milosevic, Milos Rackovic:
Synergy between traditional classification and classification based on negative features in deep convolutional neural networks. Neural Comput. Appl. 33(13): 7593-7602 (2021)
2010 – 2019
- 2019
- [c4]Ioannis Arapakis, Yolanda Becerra, Omer Boehm, George Bravos, Vasilis Chatzigiannakis, Cesare Cugnasco, Giorgos Demetriou, Iliada Eleftheriou, Julien-Etienne Mascolo, Lidija Fodor, Sotiris Ioannidis, Dusan Jakovetic, Leonidas Kallipolitis, Evangelia Kavakli, Despina Kopanaki, Nicolas Kourtellis, Mario Maawad Marcos, Ramon Martín de Pozuelo, Nemanja Milosevic, Giuditta Morandi, Enric Pages i Montanera, Gerald H. Ristow, Rizos Sakellariou, Raül Sirvent, Srdjan Skrbic, Ilias Spais, Giorgos Vasiliadis, Michael Vinov:
Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. SERVICES 2019: 394-395 - 2017
- [j1]Nikola Dalcekovic, Srdjan Vukmirovic, Sebastijan Stoja, Nemanja Milosevic:
Enabling the IoT paradigm through multi-tenancy supported by scalable data acquisition layer. Ann. des Télécommunications 72(1-2): 71-78 (2017) - 2016
- [c3]Natasa Sukur, Nemanja Milosevic, Sasa Pesic, Jozef Kolek, Gordana Rakic, Zoran Budimac:
First Results of WCET Estimation in SSQSA Framework. SQAMIA 2016: 81-87 - 2012
- [c2]Dorin Panaitopol, Abdoulaye Bagayoko, Nemanja Milosevic:
Cooperative spectrum sensing optimization under different system constraints. ISWCS 2012: 526-530 - 2011
- [c1]Nemanja Milosevic, Dorin Panaitopol, Abdoulaye Bagayoko:
Wide-band cooperative spectrum sensing method. CogART 2011: 28
Coauthor Index
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