Journal papers:

• M.S. Stankovic, M. Beko and S.S. Stankovic. Distributed Consensus-Based Multi-Agent Temporal-Difference Learning, Automatica, Vol. 151, 2023.

• J. Gavrilović, M. Tanasković, M.S. Stanković, and A. Cuk. Analysis of Available Data and Parameters in the Process of Forensics of Unmanned Aerial Vehicles, Journal of Mechatronics, Automation and Identification Technology (JMAIT), Vol. 7, No. 1, pp. 8 – 11, 2022.

• I. Walter, M. Tanasković, M.S. Stanković. IR Building Analysis with Extraction of Elements Using Image Segmentation and RetinaNet. Buildings, 13(1):109, 2023.

• D. Jovanovic, M. Antonijevic, M.S. Stankovic, M. Zivkovic, M. Tanaskovic, N. Bacanin. Tuning Machine Learning Models Using a Group Search Firefly Algorithm for Credit Card Fraud Detection. Mathematics, 10, 2272,2022.

• M.S. Pavlović, P.D. Milanović, M.S. Stanković, D.B. Perić, I.V. Popadić, M.V. Perić, Deep Learning Based SWIR Object Detection in Long-Range Surveillance Systems: An Automated Cross-Spectral Approach. Sensors, 22, 2562, 2022.

• S.S. Stanković, N. Ilić and M. S. Stanković, “Adaptive Consensus-based Distributed System for Multisensor Multitarget Tracking,” IEEE Transactions on Aerospace and Electronic Systems, 58(3), pp. 2164-2178, 2022.

• M.S. Stanković, M. Beko and S.S. Stanković, “Distributed Value Function Approximation for Collaborative Multi-Agent Reinforcement Learning”, IEEE Transactions on Control of Network Systems, 8(3), pp. 1270 – 1280, 2021.

• D. Dašić, N. Ilić, M. Vučetić, M. Perić, M. Beko and M.S. Stanković, “Distributed Spectrum Management in Cognitive Radio Networks by Consensus-Based Reinforcement Learning,” Sensors, 21(9), 2970. 2021.

• D. Dašić, M. Vučetić, N. Ilić, M.S. Stanković and M. Beko, “Application of Deep Learning Algorithms and Architectures in the New Generation of Mobile Networks“, Serbian Journal of Electrical Engineering, 18(3), pp. 397 – 426, 2021.

Monographs:

• M.S. Stanković, N. Ilić and S.S. Stanković, “Decentralized Consensus-Based Estimation and Target Tracking“, Academic Mind, Belgrade, 2021, ISBN 978-86-7466-859-7.

Doctoral dissertations:

• J. Gavrilović. “Jedna klasa sistema za generisanje i distribuciju kriptoloških ključeva zasnovana na više biometrijskih modaliteta”, Doktorska disertacija, Univerzitet Singidunum, decembar 2022.

Book chapters:

• A. Ćuk, T. Bezdan, N. Bačanin, M. Živković, K. Venkatachalam, T. A. Rashid, and V. K. Devi, “Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic Algorithm and Artificial Bee Colony“, in “Data Science and Data Analytics – Opportunities and Challenges“ edited by Amit Kumar Tyagi, Chapman and Hall/CRC, 2021.

Conference papers:

• J. Krstovic, N. Bacanin, M. Zivkovic, A. Bozovic, M.S. Stankovic, M. Antonijevic, and T. Bezdan. Modified Artificial Bee Colony Algorithm for Tuning Simple LSTM for Multivariate Time-Series Forecasting, 5th International Conference on Communication and Computational Technologies (ICCCT 2023), 2023.

• M.S. Stankovic, M. Beko, N Ilic and S.S. Stankovic. Multi-Agent Actor-Critic Multitask Reinforcement Learning based on GTD(1) with Consensus, 61st IEEE Conference on Decision and Control, CDC 2022, Cancun, Mexico, 2022.

• Marko Stankovic, J. Gavrilovic, D. Jovanovic, M. Zivkovic, M. Antonijevic, N. Bacanin, and M.S. Stankovic. Tuning Multi-Layer Perceptron by Hybridized Arithmetic Optimization Algorithm for Healthcare 4.0, 4th International Conference on Innovative Data Communication Technology and Application (ICIDCA), 2022.

• M.S. Stankovic, M. Beko and S.S. Stankovic. Convergent Distributed Actor-Critic Algorithm Based on Gradient Temporal Difference, 30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, 2022.

• M.S. Stankovic, M. Antonijevic, N. Bacanin, M. Zivkovic, M. Tanaskovic, D. Jovanovic. Feature Selection by Hybrid Artificial Bee Colony Algorithm for Intrusion Detection, International Conference on Edge Computing and Applications, ICECAA 2022, Tamil Nadu, India, 2022.

• M.S. Stankovic, M. Beko and S.S. Stankovic. Distributed Actor-Critic Learning Using Emphatic Weightings, 8th International Conference on Control, Decision and Information Technologies CoDIT’22, Istanbul, Turkey, 2022.

• M. S. Stanković, M. Beko, N. Ilić and S.S. Stanković. “Consensus on the Auxiliary Variables in Distributed Gradient-Based Temporal Difference Algorithms”, 9th International Conference IcETRAN, Novi Pazar, Serbia, June, 2022.

• U. Dragović, M. Tanasković, M. Stanković, A. Ćuk, “Autonomous Drone Control for Visual Search Based on Deep Reinforcement Learning,” in Sinteza 2022 – International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, pp. 382-388, 2022.

• I. Walter, M. Tanasković, “Image Segmentation Processing for Thermographic Analysis,” in Sinteza 2022 – International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, pp. 394-398, 2022.

• M.S. Stanković, M. Beko, M. Pavlović, I. Popadić, S.S. Stanković, “Distributed On-Policy Actor-Critic Reinforcement Learning,” in Sinteza 2022 – International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, pp. 389-393, 2022.

• A. Ćuk, J. Gavrilović, M. Tanasković, M. Stanković, “Mobile Robot Path Planning Optimization by Artificial Bee Colony,” in Sinteza 2022 – International Scientific Conference on Information Technology and Data Related Research, Belgrade, Singidunum University, Serbia, pp. 399-403, 2022.

• J. Gavrilović, A. Ćuk, M. Tanasković and M.S. Stanković, “Forenzička analiza komercijalnih dronova,” 21st International Symposium INFOTEH, 2022.

• M. S. Stankovic, M. Beko and S. S. Stankovic, “Distributed Consensus-Based Multi-Agent Temporal-Difference Learning,” 60th IEEE Conference on Decision and Control (CDC), 2021.

• R. Boffadossi, L. Fagiano, A. Cataldo, M. Tanaskovic, and M. Lauricella, “Advanced Hierarchical Predictive Routing Control of a Smart De-Manufacturing Plant,” European Control Conference (ECC), July 2021.

• A. Ćuk, U. Dragović, M. Tanasković, N. Bačanin and M.S. Stanković, “Obuka perceptrona hibridizovanom metodom između genetskog algoritma i Firefly algoritma”, YUINFO 2021 Conference, 2021.

• L. Fagiano, M. Tanaskovic, L. C. Mallitasig, A. Cataldo and R. Scattolini, “Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following,” 2020 59th IEEE Conference on Decision and Control (CDC), Jeju Island, Korea (South), 2020, pp. 5546-5551, doi: 10.1109/CDC42340.2020.9303933.

• M. S. Stanković, M. Beko, N. Ilić and S. S. Stanković, “Distributed Multi-Agent Reinforcement Learning Algorithm based on Gradient Correction“, Proc. of 7th IcETRAN, Belgrade, 2020.