Machine Learning
Supervised Learning for Positional Accuracy Improvement of Historical Maps: A Systematic Comparison and Validation
Transactions in GIS 29(4): e70076, 2025
Improving the positional accuracy of cadastral maps via Machine Learning methods
MSc thesis, School of Law, Aristotle University of Thessaloniki, Greece
Estimating rainfall erosivity from daily precipitation using generalized additive models
Environmental Sciences Proceedings 2(1): 21, 2020 (4th EWaS International Conference)
Rainfall Erosivity and Its Estimation: Conventional and Machine Learning Methods
In Soil Erosion – Rainfall Erosivity and Risk Assessment, IntechOpen, 2019
Rainfall temporal distribution in Thrace by means of an unsupervised machine learning method
Protection and Restoration of the Environment XIV, 555–564, 2018
Determination of rainfall erosivity in the framework of data science using machine learning and geostatistics methods
PhD thesis, Aristotle University of Thessaloniki, Greece
Imputation of erosivity values under incomplete rainfall data by machine learning methods
European Water 57: 193–199, 2017