Publikacije

Forecasting Bitcoin with technical analysis: A not-so-random forest?

Int. Journal of Forecasting, 39(1), 1-17, 2023

Nikola Gradojević, Dragan Kukolj, Robert Adcock, Vladimir Đaković

A Hybrid Approach to Estimation of Soil Organic Carbon Based on Satellite Imagery in Agriculture

ICIST 2023, 13th International Conference on Information Society and Technology, Kopaonik, Serbia

Marko Pavlović, Slobodan Ilić, Nenad Antonić, Dubravko Ćulibrk

Servitization 4.0 as a Trigger for Sustainable Business: Evidence from Automotive Digital Supply Chain

Sustainability 2023, 15(3), 2217

Anja Jankovic-Žugić, Nenad Medić, Marko Pavlović, Tanja Todorović, Slavko Rakić

Tuning the configuration of a convolutional neural network to produce sharper land use/land coverage maps based on satellite imagery

ICIST 2023, 13th International Conference on Information Society and Technology, Kopaonik, Serbia

Slobodan Ilić, Marko Pavlović, Nenad Antonić, Velibor Ilić

Unlocking the black box: Non-parametric option pricing before and during COVID-19

Annals of Operations Research. (2022)

Nikola Gradojević, Dragan Kukolj

Monitoring the Impact of Large Transport Infrastructure on Land Use and Environment Using Deep Learning and Satellite Imagery

Remote Sens. 2022, 14(10), 2494

Marko Pavlović, Slobodan Ilić, Nenad Antonić, Dubravko Ćulibrk

Quality Assessment of DIBR-synthesized views based on Sparsity of Difference of Closings and Difference of Gaussians

IEEE Trans. Image Processing, 31(1), pp. 1161-1175, Jan. 2022

Dragana Sandić-Stanković, Dragan Kukolj, Patrick Le Callet

Vegetation suppression system on and near the railway tracks based on PLC and deep learning

ZINC 2022, ZINC 2020, Novi Sad, Serbia

Velibor Ilić, Milan Romić, Slobodan Ilić

SCyDia - OCR for Serbian Cyrillic with Diacritics

XX EURALEX International Congress, Mannheim, Germany

Velibor Ilić, Lenka Bajčetić, Snežana Petrović, Ana Španović

Machine learning-based system for weed control on railways

ICIST 2022, 12th International Conference on Information Society and Technology, Kopaonik Serbia,

Velibor Ilić, Milan Romić, Slobodan Ilić

A Deep Learning Approach to Long-term Monitoring of Environmental Changes Based on Satellite Imagery

ICIST 2022, 12th International Conference on Information Society and Technology, Kopaonik, Serbia

Slobodan Ilić, Nenad Antonić, Branislav Kisačanin, Marko Vilotić, Velibor Ilić, Dubravko Ćulibrk

Remote Sensing for Soil Organic Carbon

First Serbian International Conference on Applied Artificial Intelligence AAI 2022

Marko Pavlović, Nenad Antonić, Gavrilo Bosakov, Slobodan Ilić, Dubravko Ćulibrk

The Path Towards Industry 4.0: A Comprehensive Methodology for Researching Serbian Manufacturing Industry: A Research Proposal

Proceedings on 18th International Conference on Industrial Systems – IS’20. IS 2020. Lecture Notes on Multidisciplinary Industrial Engineering. Springer

Đerđ Horvat, Uglješa Marjanović, Marko Pavlović, Slavko Rakić

Road edge detection based on combined deep learning and spatial statistics of LiDAR data

Journal of Spatial Science (2021)

Dragan Kukolj, Igor Marinović, Sandra Nemet

Review of Technology Trends in New Space Missions using a Patent Analytics Approach

Progress in Aerospace Sciences, Vol. 125, Aug. 2021

Nicola Garzaniti, Željko Tekić, Dragan Kukolj, Alessandro Golkar

Machine Learning in 5G Multimedia Communications: Open Research Challenges and Applications

Chapter 10 in Research Anthology on Developing and Optimizing 5G Networks and the Impact on Society, edited by Information Resources Management Association, IGI Global, 2021, pp. 204-225

Dragorad Miloradović, Zoran Bojković, Dragan Kukolj

System for detecting driver’s drowsiness, fatigue and inattention

Telfor 2021, Belgrade, Serbia

Aleksa Arsić, Velibor Ilić, Bogdan Pavković, Dragan Samardžija

Active Learning using a Self-Correcting Neural Network (ALSCN)

Applied Intelligence, The International Journal of Research on Intelligent Systems for Real Life Complex Problems, ISSN: 0924-669X, Springer

Velibor Ilić, Jovan Tadić

Model proposal for bandwidth prediction using divided Machine Learning models

2021 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA

Ognjen Čadovski, Velibor Ilić, Bojan Rikić, Branimir Kovačević

A Precondition of Sustainability: Industry 4.0 Readiness

Sustainability 2021, 13(12), 6641

Slavko Rakić, Marko Pavlović, Uglješa Marjanović

Procedure for creating custom multiple linear regression based short term load forecasting models by using genetic algorithm optimization

Thermal Science 25, no. 1 Part B (2021): 679-690.

Slobodan Ilić, Aleksandar Selakov, Srđan Vukmirović

Post COVID-19 thoughts: Controversies and Merits of the Technology Progress

IEEE Consumer Electronics Magazine, 9(6), 2020, pp.92-94

Gordana Veliki, Branislav Todorović, Dragan Kukolj

Analyzing Patents of Start-ups in AI-based Automotive Industry

Int. J. Technoentrepreneurship, 4 (1), pp. 47-57, 2020

Sandra Nemet, Dragan Kukolj

Modelling effects of S3D visual discomfort in human emotional state using data mining techniques

Multimedia Tools and Applications , 79, pp. 19803–19829(2020), ISSN: 1380-7501, 2020

Dragana Đorđević-Čegar, Miguel Barreda-Ángeles, Dragan Kukolj, Patrick Le Callet

5G ML-based networks toward 6G: Convergence and key technology drivers

Chapter in 5G Multimedia Communication - Technology, Multiservices and Deployment, Z. Bojkovic, D. Milovanovic, T. P. Fowdur (eds.), pp. 115-125, CRC Press 2020

Dragorad Miloradović, Zoran Bojković, Dragan Kukolj

Machine Learning in 5G multimedia communications: Open research challenges and applications

Chapter 17 in Handbook of Research on Emerging trends and application of Machine Learning, A. Solanki, S. Kumar, & A. Nayyar (Eds.), IGI Global, 2020, pp. 361-382

Dragorad Miloradović, Zoran Bojković, Dragan Kukolj

QUALINET White Paper on Definitions of Immersive Media Experience (IMEx)

Chapter 17 in Handbook of Research on Emerging trends and application of Machine Learning, A. Solanki, S. Kumar, & A. Nayyar (Eds.), IGI Global, 2020, pp. 361-382

Andrew Perkis, Christian Timmerer, Dragan Kukolj et al.

YOLOv3 Algorithm with additional convolutional neural network trained for traffic sign recognition

ZINC 2020, Novi Sad, Serbia

Branislav Novak, Velibor Ilić, Bogdan Pavković

Big Data Analysis as a Digital Service: Evidence Form Manufacturing Firms

Proceedings of 5th International Conference on the Industry 4.0 Model for Advanced Manufacturing: AMP 2020

Bojan Lalić, Uglješa Marjanović, Slavko Rakić, Marko Pavlović, Tanja Todorović, Nenad Medić

The Role of Service Business Models in the Manufacturing of Transition Economies

Advances in Production Management Systems. Towards Smart and Digital Manufacturing: IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, August 30–September 3, 2020, Proceedings, Part II

Slavko Rakić, Nenad Simeunović, Nenad Medić, Marko Pavlović, Uglješa Marjanović

The Big Potential of Big Data in Manufacturing: Evidence from Emerging Economies

Marko Pavlović, Uglješa Marjanović, Slavko Rakić, Nemanja Tasić, Bojan Lalić

An Evaluation of Student Performance at e-Learning Platform

2019 17th international conference on emerging eLearning technologies and applications (ICETA)

Slavko Rakić, Marko Pavlović, Selver Softić, Bojan Lalić, Uglješa Marjanović

Fast Blind Quality Assessment of DIBR-Synthesized Video Based on High-High Wavelet Subband

EEE Trans. Image Processing, 28(11), pp.5524-5536, Nov. 2019

Dragana Sandić-Stanković, Dragan Kukolj, Patrick Le Callet

Self paced deep learning for weakly supervised object detection

IEEE Transactions on Pattern Analysis and Machine Intelligence 2019

Enver Sandineto, Moin Nabi, Dubravko Ćulibrk, Nicu Sebe