Tree bark prediction along the bole through the support vector regression technique von Diamantopoulou, Maria

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Simulation of over-bark tree bole diameters, through the RFr (Random Forest Regression) algorithm von Diamantopoulou, Maria J.

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Tree-bark volume prediction via machine learning: A case study based on black alder’s tree-bark production von Diamantopoulou, Maria J., Özçelik, Ramazan, Yavuz, Hakkı

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Estimating Crimean juniper tree height using nonlinear regression and artificial neural network models von Özçelik, Ramazan, Diamantopoulou, Maria J., Crecente-Campo, Felipe, Eler, Unal

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Employing artificial neural network for effective biomass prediction: An alternative approach von Güner, Şükrü Teoman, Diamantopoulou, Maria J., Poudel, Krishna P., Çömez, Aydın, Özçelik, Ramazan

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Evaluation of potential modeling approaches for Scots pine stem diameter prediction in north-eastern Turkey von Özçelik, Ramazan, Diamantopoulou, Maria J., Trincado, Guillermo

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Site index curves construction for uneven-aged forest stands. A machine learning simulation approach von Diamantopoulou, Maria J., Progios, Markos

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Exploration of big-BAF Sampling Potential for Volume Estimation in Abies borisii-regis Matff. Forest Stands von Diamantopoulou, Maria J., Georgakis, Aristeidis

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Performance Evaluation of Regression-Based Machine Learning Models for Modeling Reference Evapotranspiration with Temperature Data von Diamantopoulou, Maria J., Papamichail, Dimitris M.

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Tree Biomass Modeling Based on the Exploration of Regression and Artificial Neural Networks Approaches von Kalkanlı Genç, Şerife, Diamantopoulou, Maria J., Özçelik, Ramazan

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Estimation of Weibull function parameters for modelling tree diameter distribution using least squares and artificial neural networks methods von Diamantopoulou, Maria J., Özçelik, Ramazan, Crecente-Campo, Felipe, Eler, Ünal

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Modeling plant density and ponding water effects on flooded rice evapotranspiration and crop coefficients: critical discussion about the concepts used in current methods von Aschonitis, Vassilis, Diamantopoulou, Maria, Papamichail, Dimitris

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Filling gaps in diameter measurements on standing tree boles in the urban forest of Thessaloniki, Greece von Diamantopoulou, Maria J.

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Modelling total volume of dominant pine trees in reforestations via multivariate analysis and artificial neural network models von Diamantopoulou, Maria J., Milios, Elias

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Total tree height predictions via parametric and artificial neural network modeling approaches von Karatepe, Y, Diamantopoulou, MJ, Özçelik, R, Sürücü, Z

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Diameter distributions in Pinus sylvestris L. stands: evaluating modelling approaches including a machine learning technique von Güner, Şükrü Teoman, Diamantopoulou, Maria J., Özçelik, Ramazan

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Artificial neural networks as an alternative tool in pine bark volume estimation von Diamantopoulou, Maria J.

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Estimating tree bole volume using artificial neural network models for four species in Turkey von Özçelik, Ramazan, Diamantopoulou, Maria J., Brooks, John R., Wiant, Harry V.

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The use of tree crown variables in over-bark diameter and volume prediction models von Özçelik, R, Diamantopoulou, MJ, Brooks, JR

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Cascade Correlation Artificial Neural Networks for Estimating Missing Monthly Values of Water Quality Parameters in Rivers von Diamantopoulou, Maria J, Antonopoulos, Vassilis Z, Papamichail, Dimitris M

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