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ORCIDMilos Antonijevic
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2020 – today
- 2025
[j18]Andjela Jovanovic, Luka Jovanovic, Miodrag Zivkovic
, Nebojsa Bacanin, Vladimir Simic, Dragan Pamucar, Milos Antonijevic:
Particle swarm optimization tuned multi-headed long short-term memory networks approach for fuel prices forecasting. J. Netw. Comput. Appl. 233: 104048 (2025)- 2024
- [j17]Radic Goran, Luka Jovanovic, Nebojsa Bacanin, Milos S. Stankovic, Vladimir Simic, Milos Antonijevic, Miodrag Zivkovic:
Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques. IEEE Access 12: 122377-122400 (2024) - [j16]Nebojsa Bacanin, Luka Jovanovic, Ruxandra Stoean, Catalin Stoean, Miodrag Zivkovic, Milos Antonijevic, Milos Dobrojevic:
Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics. Axioms 13(5): 335 (2024) - [j15]Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Bojan Jovanovic, Marija Bogicevic-Sretenovic, Ivana Strumberger:
Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0. Expert Syst. J. Knowl. Eng. 41(2) (2024) - [j14]Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin, Aleksandra Bozovic, Petar Bisevac, Milos Antonijevic:
Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networks. Int. J. Hybrid Intell. Syst. 20(4): 275-300 (2024) - [j13]Safet Purkovic, Luka Jovanovic, Miodrag Zivkovic, Milos Antonijevic, Edin Dolicanin, Eva Tuba, Milan Tuba, Nebojsa Bacanin, Petar C. Spalevic:
Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification. J. King Saud Univ. Comput. Inf. Sci. 36(10): 102261 (2024) - [j12]Robertas Damasevicius, Luka Jovanovic, Aleksandar Petrovic, Miodrag Zivkovic, Nebojsa Bacanin, Dejan Jovanovic, Milos Antonijevic:
Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation. PeerJ Comput. Sci. 10: e1795 (2024) - [j11]Luka Jovanovic, Robertas Damasevicius, Rade Matic, Milos Kabiljo, Vladimir Simic, Goran Kunjadic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Bacanin:
Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics. PeerJ Comput. Sci. 10: e2031 (2024) - [c5]Nebojsa Bacanin, Luka Jovanovic, Ilja Uzelac Bujisic, Catalin Stoean, Jelena Kaljevic, Jelena Cadjenovic, Milos Antonijevic, Miodrag Zivkovic:
Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform. SYNASC 2024: 292-298 - 2023
- [j10]Catalin Stoean, Miodrag Zivkovic, Aleksandra Bozovic, Nebojsa Bacanin, Roma Strulak-Wójcikiewicz, Milos Antonijevic, Ruxandra Stoean:
Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation. Axioms 12(3): 266 (2023) - [j9]Nebojsa Bacanin, Milos Antonijevic, Timea Bezdan, Miodrag Zivkovic, K. Venkatachalam, Sharaf J. Malebary:
Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes. Clust. Comput. 26(1): 587-598 (2023) - [j8]Luka Jovanovic, Ivana Strumberger, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Petar Bisevac:
Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm. Int. J. Hybrid Intell. Syst. 19(1): 27-43 (2023) - [j7]Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Venkatachalam Kandasamy, Milos Antonijevic, Muhammet Deveci, Ivana Strumberger:
Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks. Inf. Sci. 642: 119122 (2023) - [j6]Luka Jovanovic, Dijana Jovanovic, Milos Antonijevic, Bosko Nikolic, Nebojsa Bacanin, Miodrag Zivkovic, Ivana Strumberger:
Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning. J. Web Eng. 22(3): 543-574 (2023) - 2022
- [j5]S. Prakash, M. Vinoth Kumar, Saravana Ram Ram, Miodrag Zivkovic, Nebojsa Bacanin, Milos Antonijevic:
Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection. Comput. Syst. Sci. Eng. 41(2): 735-749 (2022) - [j4]Milos Antonijevic, Ivana Strumberger, Sasa Lazarevic, Nebojsa Bacanin, Djordje Mladenovic, Dijana Jovanovic:
Robust encrypted face recognition robot based on bit slicing and Fourier transform for cloud environments. J. Electronic Imaging 31(6) (2022) - [j3]Milos Bukumira, Milos Antonijevic, Dijana Jovanovic, Miodrag Zivkovic, Djordje Mladenovic, Goran Kunjadic:
Carrot grading system using computer vision feature parameters and a cascaded graph convolutional neural network. J. Electronic Imaging 31(6) (2022) - [j2]Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Djordje Mladenovic:
Multi-Swarm Algorithm for Extreme Learning Machine Optimization. Sensors 22(11): 4204 (2022) - [c4]Nebojsa Bacanin, Aleksandar Petrovic, Milos Antonijevic, Miodrag Zivkovic, Marko Sarac, Eva Tuba, Ivana Strumberger:
Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm. MDIS 2022: 104-121 - [c3]Marko Stankovic, Nebojsa Bacanin, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Milos Bukmira, Ivana Strumberger:
Feature Selection and Extreme Learning Machine Tuning by Hybrid Sand Cat Optimization Algorithm for Diabetes Classification. MDIS 2022: 188-203 - [c2]Luka Jovanovic, Dijana Jovanovic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Budimirovic, Ivana Strumberger, Nebojsa Bacanin:
The XGBoost Tuning by Improved Firefly Algorithm for Network Intrusion Detection. SYNASC 2022: 268-275 - 2021
- [c1]Nebojsa Bacanin, Aleksandar Petrovic, Miodrag Zivkovic, Timea Bezdan, Milos Antonijevic:
Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics. ICACDS (1) 2021: 604-616 - 2020
- [j1]Milos Antonijevic, Miodrag Zivkovic, Sladjana Arsic, Aleksandar Jevremovic:
Using AI-Based Classification Techniques to Process EEG Data Collected during the Visual Short-Term Memory Assessment. J. Sensors 2020: 8767865:1-8767865:12 (2020)
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