The use of a Neural Network technique for the prediction of water quality parameters. - Maria J. Diamantopoulou; Dimitris M. Papamichail; Vassilis Z. Antonopoulos (Oper. Res., 2005)

Filling gaps in diameter measurements on standing tree boles in the urban forest of Thessaloniki, Greece. - Maria J. Diamantopoulou (Environ. Model. Softw., 2010)

Assessing a reliable modeling approach of features of trees through neural network models for sustainable forests. - Maria J. Diamantopoulou (Sustain. Comput. Informatics Syst., 2012)

Tree-bark volume prediction via machine learning: A case study based on black alder's tree-bark production. - Maria J. Diamantopoulou; Ramazan Özçelik; Hakki Yavuz (Comput. Electron. Agric., 2018)

Evaluation of potential modeling approaches for Scots pine stem diameter prediction in north-eastern Turkey. - Ramazan Özçelik; Maria J. Diamantopoulou; Guillermo Trincado (Comput. Electron. Agric., 2019)

Employing artificial neural network for effective biomass prediction: An alternative approach. - Sükrü Teoman Güner; Maria J. Diamantopoulou; Krishna P. Poudel; Aydin Çömez; Ramazan Özçelik (Comput. Electron. Agric., 2022)

Exploration of big-BAF Sampling Potential for Volume Estimation in Abies borisii-regis Matff. Forest Stands. - Maria J. Diamantopoulou; Aristeidis Georgakis (Oper. Res. Forum, 2023)

Machine learning modeling exploration for under-bark tree bole volume estimation. - Maria J. Diamantopoulou (HAICTA (1), 2024)

Optimizing pine tree stem volume models using artificial neural networks with minimal input variables. - Maria J. Diamantopoulou; Aristeidis Georgakis; M. Progios (Oper. Res., 2025)