Wide-band cooperative spectrum sensing method. - Nemanja Milosevic; Dorin Panaitopol; Abdoulaye Bagayoko (CogART, 2011)

Cooperative spectrum sensing optimization under different system constraints. - Dorin Panaitopol; Abdoulaye Bagayoko; Nemanja Milosevic (ISWCS, 2012)

First Results of WCET Estimation in SSQSA Framework. - Natasa Sukur; Nemanja Milosevic; Sasa Pesic; Jozef Kolek; Gordana Rakic; Zoran Budimac (SQAMIA, 2016)

Enabling the IoT paradigm through multi-tenancy supported by scalable data acquisition layer. - Nikola Dalcekovic; Srdjan Vukmirovic; Sebastijan Stoja; Nemanja Milosevic (Ann. des Télécommunications, 2017)

Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications. - Ioannis Arapakis; Yolanda Becerra 001; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Julien-Etienne Mascolo; Lidija Fodor; Sotiris Ioannidis; Dusan Jakovetic; et al. (SERVICES, 2019)

Synergy between traditional classification and classification based on negative features in deep convolutional neural networks. - Nemanja Milosevic; Milos Rackovic (Neural Comput. Appl., 2021)

Big Data Analytics in the Banking Sector: Guidelines and Lessons Learned from the CaixaBank Case. - Andreas Alexopoulos; Yolanda Becerra 001; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Lidija Fodor; Spiros Fotis; Sotiris Ioannidis; Dusan Jakovetic; et al. (Technologies and Applications for Big Data Value, 2022)

Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case. - Andreas Alexopoulos; Yolanda Becerra 001; Omer Boehm; George Bravos; Vasilis Chatzigiannakis; Cesare Cugnasco; Giorgos Demetriou; Iliada Eleftheriou; Spiros Fotis; Gianmarco Genchi; Sotiris Ioannidis; Dusan Jakovetic; et al. (Technologies and Applications for Big Data Value, 2022)

BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems. - Nemanja Milosevic; Dusan Jakovetic; Srdjan Skrbic; Milos Savic 001; Dusan Stamenkovic; Julien-Etienne Mascolo; Davide Masera (EUSIPCO, 2022)

Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. - 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; et al. (IEEE Access, 2022)

Communication Efficient Model-Aware Federated Learning for Visual Crowd Counting and Density Estimation in Smart Cities. - Aleksandar Armacki; Nemanja Milosevic; Dragana Bajovic; Soummya Kar; Dusan Jakovetic; Arian Bakhtiarnia; Lukas Esterle; Adrian Muscat; Thomas Festi (EUSIPCO, 2023)

Dynamic Split Computing for Efficient Deep EDGE Intelligence. - Arian Bakhtiarnia; Nemanja Milosevic; Qi Zhang 013; Dragana Bajovic; Alexandros Iosifidis (ICASSP, 2023)

Nonlinear Gradient Mappings and Stochastic Optimization: A General Framework with Applications to Heavy-Tail Noise. - Dusan Jakovetic; Dragana Bajovic; Anit Kumar Sahu; Soummya Kar; Nemanja Milosevic; Dusan Stamenkovic (SIAM J. Optim., 2023)

Automated program improvement with reinforcement learning and graph neural networks. - Natasa Sukur; Nemanja Milosevic; Doni Pracner; Zoran Budimac (Soft Comput., 2024)

Extensions and Detailed Analysis of Synergy Between Traditional Classification and Classification Based on Negative Features in Deep Convolutional Neural Networks. - Milos Rackovic; Jovana Vidakovic; Nemanja Milosevic (Cogn. Comput., 2025)