Dejan Ljubobratović

2019202020212022202320241 5 10 10 2

Maja MateticUniversity of Rijeka, Faculty of Informatics and Digital TechnologiesVerified email at inf.uniri.hr
Tomislav JemricProf. dr. sc., University of Zagreb, Faculty of Agriculture, Department of PomologyVerified email at agr.hr
Marija Brkic BakaricUniversity of Rijeka, Faculty of Informatics and Digital TechnologiesVerified email at uniri.hr
Marko VukovićAssistant at University of Zagreb Faculty of AgricultureVerified email at agr.hr
Marko VelicPhotomathVerified email at velic.biz

Dejan Ljubobratović

University of Rijeka, Faculty of Informatics and Digital Technologies

Verified email at uniri.hr - Homepage


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Using LMS activity logs to predict student failure with random forest algorithm D Ljubobratović, M Matetić The Future of Information Sciences 113, 2019	11	2019
Assessment of various machine learning models for peach maturity prediction using non-destructive sensor data D Ljubobratović, M Vuković, M Brkić Bakarić, T Jemrić, M Matetić Sensors 22 (15), 5791, 2022	9	2022
Predicting peach fruit ripeness using explainable machine learning D Ljubobratović, G Zhang, MB Bakarić, T Jemrić, M Matetić Annals of DAAAM & Proceedings 7 (1), 2020	5	2020
Utilization of explainable machine learning algorithms for determination of important features in ‘Suncrest’peach maturity prediction D Ljubobratović, M Vuković, M Brkić Bakarić, T Jemrić, M Matetić Electronics 10 (24), 3115, 2021	3	2021
Agile development of software products M Velić, I Padavić, D Ljubobratović Infoteh Jahorina 10, 2011		2011
Agilni razvoj programskih proizvoda M Velić, I Padavić, D Ljubobratović INFOTEH-JAHORINA, 2011		2011
Predviđanje zrelosti breskvi korištenjem modela strojnog učenja D Ljubobratović Infcon 2022, 22, 0
Interpretabilno strojno učenje D Ljubobratović

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