Milos Antonijevic

According to our database, Milos Antonijevic authored at least 28 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Performance evaluation of metaheuristics-tuned recurrent networks with VMD decomposition for Amazon sales prediction.

Andjela Jovanovic, Nebojsa Bacanin, Luka Jovanovic, Robertas Damasevicius, Milos Antonijevic, Miodrag Zivkovic, Jelena Kaljevic, Milos Dobrojevic

Int. J. Data Sci. Anal., October, 2025

Detecting Harassment in User Comments: Two-Tier Machine Learning and Metaheuristics Approach with Natural Language Processing.

Mihailo Todorovic, Stanislava Kozakijevic, Luka Jovanovic, Lepa Babic, Milos Antonijevic, Vico Zeljkovic, Miodrag Zivkovic, Nebojsa Bacanin

SN Comput. Sci., August, 2025

Exploring artificial intelligence potential in solar energy production forecasting: Methodology based on modified PSO optimized attention augmented recurrent networks.

Luka Jovanovic, Nebojsa Bacanin, Aleksandar Petrovic, Miodrag Zivkovic, Milos Antonijevic, Vuk Gajic, Mahmoud Mohamed Elsayed, Mohamed Abouhawwash

Sustain. Comput. Informatics Syst., 2025

Particle swarm optimization tuned multi-headed long short-term memory networks approach for fuel prices forecasting.

Andjela Jovanovic, Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin, Vladimir Simic, Dragan Pamucar, Milos Antonijevic

J. Netw. Comput. Appl., 2025

Hybrid CNN XGBoost intrusion detection approach tuned by modified sine cosine algorithm towards better cloud security.

Nikola Savanovic, Aleksandra Bozovic, Milos Antonijevic, Goran S. Kvascev, Bosko Nikolic, K. Venkatachalam, Nebojsa Bacanin, Miodrag Zivkovic

Connect. Sci., 2025

Towards sustainable societies: Convolutional neural networks optimized by modified crayfish optimization algorithm aided by AdaBoost and XGBoost for waste classification tasks.

Ana Tasic, Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Vladimir Simic, Miroslav Popovic, Milos Antonijevic

Appl. Soft Comput., 2025

2024

Respiratory Condition Detection Using Audio Analysis and Convolutional Neural Networks Optimized by Modified Metaheuristics.

Nebojsa Bacanin, Luka Jovanovic, Ruxandra Stoean, Catalin Stoean, Miodrag Zivkovic, Milos Antonijevic, Milos Dobrojevic

Axioms, May, 2024

Machine learning tuning by diversity oriented firefly metaheuristics for Industry 4.0.

Luka Jovanovic, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Bojan Jovanovic, Marija Bogicevic-Sretenovic, Ivana Strumberger

Expert Syst. J. Knowl. Eng., February, 2024

Detecting Parkinson's disease from shoe-mounted accelerometer sensors using convolutional neural networks optimized with modified metaheuristics.

Luka Jovanovic, Robertas Damasevicius, Rade Matic, Milos Kabiljo, Vladimir Simic, Goran Kunjadic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Bacanin

PeerJ Comput. Sci., 2024

Decomposition aided attention-based recurrent neural networks for multistep ahead time-series forecasting of renewable power generation.

Robertas Damasevicius, Luka Jovanovic, Aleksandar Petrovic, Miodrag Zivkovic, Nebojsa Bacanin, Dejan Jovanovic, Milos Antonijevic

PeerJ Comput. Sci., 2024

Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification.

Safet Purkovic, Luka Jovanovic, Miodrag Zivkovic, Milos Antonijevic, Edin Dolicanin, Eva Tuba, Milan Tuba, Nebojsa Bacanin, Petar C. Spalevic

J. King Saud Univ. Comput. Inf. Sci., 2024

Metaheuristic optimized electrocardiography time-series anomaly classification with recurrent and long-short term neural networks.

Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin, Aleksandra Bozovic, Petar Bisevac, Milos Antonijevic

Int. J. Hybrid Intell. Syst., 2024

Identifying and Understanding Student Dropouts Using Metaheuristic Optimized Classifiers and Explainable Artificial Intelligence Techniques.

Radic Goran, Luka Jovanovic, Nebojsa Bacanin, Milos S. Stankovic, Vladimir Simic, Milos Antonijevic, Miodrag Zivkovic

IEEE Access, 2024

Modified Metaheuristics Optimization for Cyberbullying Detection on Online Data Science Platform.

Nebojsa Bacanin, Luka Jovanovic, Ilja Uzelac Bujisic, Catalin Stoean, Jelena Kaljevic, Jelena Cadjenovic, Milos Antonijevic, Miodrag Zivkovic

Proceedings of the 26th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2024

2023

Energy efficient offloading mechanism using particle swarm optimization in 5G enabled edge nodes.

Nebojsa Bacanin, Milos Antonijevic, Timea Bezdan, Miodrag Zivkovic, K. Venkatachalam, Sharaf J. Malebary

Clust. Comput., February, 2023

Improving Phishing Website Detection Using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning.

Luka Jovanovic, Dijana Jovanovic, Milos Antonijevic, Bosko Nikolic, Nebojsa Bacanin, Miodrag Zivkovic, Ivana Strumberger

J. Web Eng., 2023

Multivariate energy forecasting via metaheuristic tuned long-short term memory and gated recurrent unit neural networks.

Nebojsa Bacanin, Luka Jovanovic, Miodrag Zivkovic, Venkatachalam Kandasamy, Milos Antonijevic, Muhammet Deveci, Ivana Strumberger

Inf. Sci., 2023

Tuned long short-term memory model for Ethereum price forecasting via an arithmetic optimization algorithm.

Luka Jovanovic, Ivana Strumberger, Nebojsa Bacanin, Miodrag Zivkovic, Milos Antonijevic, Petar Bisevac

Int. J. Hybrid Intell. Syst., 2023

Metaheuristic-Based Hyperparameter Tuning for Recurrent Deep Learning: Application to the Prediction of Solar Energy Generation.

Catalin Stoean, Miodrag Zivkovic, Aleksandra Bozovic, Nebojsa Bacanin, Roma Strulak-Wójcikiewicz, Milos Antonijevic, Ruxandra Stoean

Axioms, 2023

2022

Multi-Swarm Algorithm for Extreme Learning Machine Optimization.

Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Djordje Mladenovic

Sensors, 2022

Carrot grading system using computer vision feature parameters and a cascaded graph convolutional neural network.

Milos Bukumira, Milos Antonijevic, Dijana Jovanovic, Miodrag Zivkovic, Djordje Mladenovic, Goran Kunjadic

J. Electronic Imaging, 2022

Robust encrypted face recognition robot based on bit slicing and Fourier transform for cloud environments.

Milos Antonijevic, Ivana Strumberger, Sasa Lazarevic, Nebojsa Bacanin, Djordje Mladenovic, Dijana Jovanovic

J. Electronic Imaging, 2022

Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection.

S. Prakash, M. Vinoth Kumar, Saravana Ram Ram, Miodrag Zivkovic, Nebojsa Bacanin, Milos Antonijevic

Comput. Syst. Sci. Eng., 2022

The XGBoost Tuning by Improved Firefly Algorithm for Network Intrusion Detection.

Luka Jovanovic, Dijana Jovanovic, Milos Antonijevic, Miodrag Zivkovic, Nebojsa Budimirovic, Ivana Strumberger, Nebojsa Bacanin

Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022

Feature Selection and Extreme Learning Machine Tuning by Hybrid Sand Cat Optimization Algorithm for Diabetes Classification.

Marko Stankovic, Nebojsa Bacanin, Miodrag Zivkovic, Dijana Jovanovic, Milos Antonijevic, Milos Bukmira, Ivana Strumberger

Proceedings of the Modelling and Development of Intelligent Systems, 2022

Intrusion Detection by XGBoost Model Tuned by Improved Social Network Search Algorithm.

Nebojsa Bacanin, Aleksandar Petrovic, Milos Antonijevic, Miodrag Zivkovic, Marko Sarac, Eva Tuba, Ivana Strumberger

Proceedings of the Modelling and Development of Intelligent Systems, 2022

2021

Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics.

Nebojsa Bacanin, Aleksandar Petrovic, Miodrag Zivkovic, Timea Bezdan, Milos Antonijevic

Proceedings of the Advances in Computing and Data Sciences - 5th International Conference, 2021

2020

Using AI-Based Classification Techniques to Process EEG Data Collected during the Visual Short-Term Memory Assessment.

Milos Antonijevic, Miodrag Zivkovic, Sladjana Arsic, Aleksandar Jevremovic

J. Sensors, 2020