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 | | |