| Dynamic split computing for efficient deep edge intelligence A Bakhtiarnia, N Milošević, Q Zhang, D Bajović, A Iosifidis ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 15 | 2023 |
| Classification based on missing features in deep convolutional neural networks N Milošević, M Racković Neural Network World 29 (4), 221-234, 2019 | 14 | 2019 |
| Towards Specification of a Software Architecture for Cross-Sectoral Big Data Applications I Arapakis, Y Becerra, O Boehm, G Bravos, V Chatzigiannakis, ... IEEE World Congress on Services, 2019 | 12 | 2019 |
| Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise D Jakovetić, D Bajović, AK Sahu, S Kar, N Milos̆ević, D Stamenković SIAM Journal on Optimization 33 (2), 394-423, 2023 | 7 | 2023 |
| Cybersecurity for industrial Internet of things: architecture, models and lessons learned G Bravos, AJ Cabrera, C Correa, D Danilović, N Evangeliou, G Ezov, ... IEEE Access 10, 124747-124765, 2022 | 5 | 2022 |
| Big data analytics in the banking sector: Guidelines and lessons learned from the CaixaBank case A Alexopoulos, Y Becerra, O Boehm, G Bravos, V Chatzigiannakis, ... Technologies and applications for big data value, 273-297, 2022 | 5 | 2022 |
| Synergy between traditional classification and classification based on negative features in deep convolutional neural networks N Milošević, M Racković Neural Computing and Applications 33 (13), 7593-7602, 2021 | 5 | 2021 |
| Big Data Analytics in the Manufacturing Sector: Guidelines and Lessons Learned Through the Centro Ricerche FIAT (CRF) Case A Alexopoulos, Y Becerra, O Boehm, G Bravos, V Chatzigiannakis, ... Technologies and Applications for Big Data Value, 321-344, 2022 | 3 | 2022 |
| Predicting chemicals’ toxicity pathway of female reproductive disorders using AOP7 and deep neural networks N Sukur, N Milošević, K Pogrmic-Majkic, B Stanic, N Andric Food and Chemical Toxicology 180, 114013, 2023 | 1 | 2023 |
| An in silico toxicogenomic approach in constructing the aflatoxin B1-mediated regulatory network of hub genes in hepatocellular carcinoma B Stanic, N Milošević, N Sukur, D Samardzija Nenadov, S Fa Nedeljkovic, ... Toxicology Mechanisms and Methods 33 (7), 552-562, 2023 | 1 | 2023 |
| BACS: A comprehensive tool for deep learning-based anomaly detection in edge-fog-cloud systems N Milosevic, D Jakovetic, S Skrbic, M Savic, D Stamenkovic, J Mascolo, ... 2022 30th European Signal Processing Conference (EUSIPCO), 1097-1101, 2022 | 1 | 2022 |
| Negative Deep Learning N Milošević PQDT-Global, 2021 | 1 | 2021 |
| Exploring the effects of habitat management on grassland biodiversity: A case study from northern Serbia D Milić, M Rat, B Bokić, S Mudri-Stojnić, N Milošević, N Sukur, D Jakovetić, ... Plos one 19 (3), e0301391, 2024 | | 2024 |
| Enhancing Emotion Recognition through Federated Learning: A Multimodal Approach with Convolutional Neural Networks N Simić, S Suzić, N Milošević, V Stanojev, T Nosek, B Popović, D Bajović Applied Sciences 14 (4), 1325, 2024 | | 2024 |
| Differential eigengene network analysis reveals benzo [a] pyrene and 2, 3, 7, 8-tetrachlorodibenzo-p-dioxin consensus regulatory network in human liver cell line HepG2 B Stanic, N Sukur, N Milošević, JM Filipovic, K Pogrmic-Majkic, N Andric Toxicology, 153737, 2024 | | 2024 |
| Automated program improvement with reinforcement learning and graph neural networks N Sukur, N Milošević, D Pracner, Z Budimac Soft Computing 28 (3), 2593-2604, 2024 | | 2024 |
| Communication efficient model-aware federated learning for visual crowd counting and density estimation in smart cities A Armacki, N Milosevic, D Bajovic, S Kar, D Jakovetic, A Bakhtiarnia, ... 2023 31st European Signal Processing Conference (EUSIPCO), 875-879, 2023 | | 2023 |
| Negative Deep Learning/Negativno duboko učenje N Milošević University of Novi Sad (Serbia), 2021 | | 2021 |
| First Results of WCET Estimation in SSQSA Framework N SUKUR, N MILOŠEVIĆ, S PEŠIĆ, J Kolek, G RAKIĆ, Z Budimac Fifth Workshop on Software Quality Analysis, Monitoring, Improvement, and …, 2016 | | 2016 |
Dusan JakoveticDept. of Math. and Informatics, Faculty of Sciences, Univ. of Novi Sad; COSTNET CA15109Email verificata su uns.ac.rs
