2022.

Assessment of Various Machine Learning Models for Peach Maturity Prediction Using Non-Destructive Sensor Data

Dejan Ljubobratović; Marko Vuković; Marija Brkić Bakarić; Tomislav Jemrić; Maja Matetić

Sensors - 22

https://doi.org/10.3390/s22155791

Q1 A1 WOS Q1 Q2 A1 WOS

2021.

Utilization of Explainable Machine Learning Algorithms for Determination of Important Features in 'Suncrest' Peach Maturity Prediction

Dejan Ljubobratović, Marko Vuković, Marija Brkić Bakarić, Tomislav Jemrić, Maja Matetić

Electronics - 10 3115

https://doi.org/10.3390/electronics10243115

Q2 A1

2020.

Predicting Peach Fruit Ripeness Using Explainable Machine Learning

Dejan Ljubobratovic, Zhang Guoxiang, Marija Brkic Bakaric, Tomislav Jemric, Maja Matetic

31st DAAAM Proceedings (2020) - 717-723

https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2020/099.pdf

21.11.2019.

Using LMS Activity Logs to Predict Student Failure with Random Forest Algorithm

Dejan Ljubobratović, Maja Matetić

7th International Conference The Future of Information Sciences (InFuture 2019) - 113-119

16.03.2011.

Agilni razvoj programskih proizvoda (Agile development of software products)

Marko Velić; Ivan Padavić; Dejan Ljubobratović

Infoteh Jahorina - 10

22.02.2019. -

Dubinska analiza tokova podataka za pametno upravljanje hladnim lancem (Data Stream Mining for Smart Cold Chain Management - SmaCC) (uniri-drustv-18-122)

suradnik

University of Rijeka 19149,23 kn