Possibilities of land use change analysis in a mountainous rural area: a methodological approach. - Szilárd Szabó; László Bertalan; Ágnes Kerekes; Tibor J. Novák (Int. J. Geogr. Inf. Sci., 2016)

Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model. - Péter Enyedi; Melinda Pap; Zoltán Kovács; László Takács-Szilágyi; Szilárd Szabó (Int. J. Digit. Earth, 2019)

Sequential Presentation Protects Working Memory From Catastrophic Interference. - Ansgar D. Endress; Szilárd Szabó (Cogn. Sci., 2020)

Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach. - Kwanele Phinzi; Dávid Abriha; László Bertalan; Imre Holb; Szilárd Szabó (ISPRS Int. J. Geo Inf., 2020)

Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation. - Aletta Dóra Schlosser; Gergely Szabó; László Bertalan; Zsolt Varga; Péter Enyedi; Szilárd Szabó (Remote. Sens., 2020)

NDVI as a Proxy for Estimating Sedimentation and Vegetation Spread in Artificial Lakes - Monitoring of Spatial and Temporal Changes by Using Satellite Images Overarching Three Decades. - Loránd Szabó; Balázs Deák; Tibor Bíró; Gareth J. Dyke; Szilárd Szabó (Remote. Sens., 2020)

Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches. - Zsuzsanna Szabó; Tomás Mikita; Gábor Négyesi; Orsolya Gyöngyi Varga; Péter Burai; László Takács-Szilágyi; Szilárd Szabó (Remote. Sens., 2020)

Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data. - Orsolya Gyöngyi Varga; Robert Gilmore Pontius Jr.; Zsuzsanna Szabó; Szilárd Szabó (Remote. Sens., 2020)

Aerial Laser Scanning Data as a Source of Terrain Modeling in a Fluvial Environment: Biasing Factors of Terrain Height Accuracy. - Zsuzsanna Szabó; Csaba Albert Tóth; Imre Holb; Szilárd Szabó (Sensors, 2020)

Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems. - Kwanele Phinzi; Dávid Abriha; Szilárd Szabó (Remote. Sens., 2021)

Validation of Visually Interpreted Corine Land Cover Classes with Spectral Values of Satellite Images and Machine Learning. - Orsolya Gyöngyi Varga; Zoltán Kovács; László Beko; Péter Burai; Zsuzsanna Csatáriné Szabó; Imre Holb; Sarawut Ninsawat; Szilárd Szabó (Remote. Sens., 2021)

UAV-based multispectral and thermal cameras to predict soil water content - A machine learning approach. - László Bertalan; Imre Holb; Angelika Pataki; Gábor Négyesi; Gergely Szabó; Annamária Kupásné Szalóki; Szilárd Szabó (Comput. Electron. Agric., 2022)

Strategies in training deep learning models to extract building from multisource images with small training sample sizes. - Dávid Abriha; Szilárd Szabó (Int. J. Digit. Earth, 2023)

Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest. - Kwanele Phinzi; Njoya Silas Ngetar; Quoc Bao Pham; Gashaw Gismu Chakilu; Szilárd Szabó (Earth Sci. Informatics, 2023)

Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics. - Szilárd Szabó; Imre Holb; Vanda Éva Abriha-Molnár; Gábor Szatmári; Sudhir Kumar Singh; Dávid Abriha (Appl. Soft Comput., 2024)

Aquatic vegetation mapping with UAS-cameras considering phenotypes. - Loránd Szabó; László Bertalan; Gergely Szabó; István Grigorszky; Imre Somlyai; György Dévai; Sándor Alex Nagy; Imre J. Holb; Szilárd Szabó (Ecol. Informatics, 2024)

Improving the spatial prediction of topsoil properties in a typical grazing area using multi-season PlanetScope spectral covariates and data mining techniques. - Kwanele Phinzi; László Bertalan; Gashaw Gismu Chakilu; Szilárd Szabó (Earth Sci. Informatics, 2025)