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ORCIDLuka Jovanovic
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Journal Articles
- 2024
[j18]Jelica Cincovic, Luka Jovanovic
, Bosko Nikolic, Nebojsa Bacanin:
Neurodegenerative Condition Detection Using Modified Metaheuristic for Attention Based Recurrent Neural Networks and Extreme Gradient Boosting Tuning. IEEE Access 12: 26719-26734 (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]Marijana Pavlov-Kagadejev, Luka Jovanovic, Nebojsa Bacanin, Muhammet Deveci, Miodrag Zivkovic, Milan Tuba, Ivana Strumberger, Witold Pedrycz:
Optimizing long-short-term memory models via metaheuristics for decomposition aided wind energy generation forecasting. Artif. Intell. Rev. 57(3): 45 (2024) - [j15]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) - [j14]Luka Jovanovic, Nebojsa Bacanin, Vladimir Simic, Dragan Pamucar, Miodrag Zivkovic:
Audio analysis speeding detection techniques based on metaheuristic-optimized machine learning models. Eng. Appl. Artif. Intell. 133: 108463 (2024) - [j13]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) - [j12]Marko Stankovic, Luka Jovanovic, Aleksandra Bozovic, Nebojsa Budimirovic, Miodrag Zivkovic, Nebojsa Bacanin:
Exploring the potential of combining Mel spectrograms with neural networks optimized by the modified crayfish optimization algorithm for acoustic speed violation identification. Int. J. Hybrid Intell. Syst. 20(2): 119-143 (2024) - [j11]Aleksandar Petrovic, Luka Jovanovic, K. Venkatachalam, Miodrag Zivkovic, Nebojsa Bacanin, Nebojsa Budimirovic:
Anomaly detection in electrocardiogram signals using metaheuristic optimized time-series classification with attention incorporated models. Int. J. Hybrid Intell. Syst. 20(2): 159-183 (2024) - [j10]Vule Mizdrakovic, Maja Kljajic, Miodrag Zivkovic, Nebojsa Bacanin, Luka Jovanovic, Muhammet Deveci, Witold Pedrycz:
Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values. Knowl. Based Syst. 299: 112026 (2024) - [j9]Luka Jovanovic, Miodrag Zivkovic, Nebojsa Bacanin, Milos Dobrojevic, Vladimir Simic, Kishor Kumar Sadasivuni, Erfan Babaee Tirkolaee:
Evaluating the performance of metaheuristic-tuned weight agnostic neural networks for crop yield prediction. Neural Comput. Appl. 36(24): 14727-14756 (2024) - [j8]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) - [j7]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) - [j6]Maxwell Pirtle, Luka Jovanovic, Gene Cooperman:
McMini: A Programmable DPOR-Based Model Checker for Multithreaded Programs. Art Sci. Eng. Program. 8(1) (2024) - [j5]Luka Jovanovic, Nebojsa Bacanin, Vladimir Simic, Joseph Mani, Miodrag Zivkovic, Marko Sarac:
Optimizing machine learning for space weather forecasting and event classification using modified metaheuristics. Soft Comput. 28(7): 6383-6402 (2024) - 2023
- [j4]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) - [j3]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) - [j2]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) - [j1]Ana Minic, Luka Jovanovic, Nebojsa Bacanin, Catalin Stoean, Miodrag Zivkovic, Petar Spalevic, Aleksandar Petrovic, Milos Dobrojevic, Ruxandra Stoean:
Applying Recurrent Neural Networks for Anomaly Detection in Electrocardiogram Sensor Data. Sensors 23(24): 9878 (2023)
Conference and Workshop Papers
- 2023
- [c2]Branislav Radomirovic, Luka Jovanovic, Catalin Stoean, Miodrag Zivkovic, Angelina Njegus, Nebojsa Bacanin:
Solar Flare Classification using Modified Metaheuristic Optimized XGBoost. SYNASC 2023: 287-292 - 2022
- [c1]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
Informal and Other Publications
- 2022
- [i1]Maxwell Pirtle, Luka Jovanovic, Gene Cooperman:
McMini: A Programmable DPOR-based Model Checker for Multithreaded Programs. CoRR abs/2212.05468 (2022)
Coauthor Index
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