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ORCIDSzilárd Szabó
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2020 – today
- 2024
[j16]Szilárd Szabó, Imre Holb, Vanda Éva Abriha-Molnár, Gábor Szatmári
, Sudhir Kumar Singh, Dávid Abriha:
Classification Assessment Tool: A program to measure the uncertainty of classification models in terms of class-level metrics. Appl. Soft Comput. 155: 111468 (2024)- [j15]Loránd Szabó, László Bertalan, Gergely Szabó, István Grigorszky, Imre Somlyai, György Dévai, Sándor Alex Nagy, Imre J. Holb, Szilárd Szabó:
Aquatic vegetation mapping with UAS-cameras considering phenotypes. Ecol. Informatics 81: 102624 (2024) - 2023
- [j14]Dávid Abriha, Szilárd Szabó:
Strategies in training deep learning models to extract building from multisource images with small training sample sizes. Int. J. Digit. Earth 16(1): 1707-1724 (2023) - [j13]Kwanele Phinzi, Njoya Silas Ngetar, Quoc Bao Pham, Gashaw Gismu Chakilu, Szilárd Szabó:
Understanding the role of training sample size in the uncertainty of high-resolution LULC mapping using random forest. Earth Sci. Informatics 16(4): 3667-3677 (2023) - 2022
- [j12]László Bertalan, Imre Holb, Angelika Pataki, Gábor Négyesi, Gergely Szabó, Annamária Kupásné Szalóki, Szilárd Szabó:
UAV-based multispectral and thermal cameras to predict soil water content - A machine learning approach. Comput. Electron. Agric. 200: 107262 (2022) - 2021
- [j11]Orsolya Gyöngyi Varga, Zoltán Kovács, László Beko, Péter Burai, Zsuzsanna Csatáriné Szabó, Imre Holb, Sarawut Ninsawat, Szilárd Szabó:
Validation of Visually Interpreted Corine Land Cover Classes with Spectral Values of Satellite Images and Machine Learning. Remote. Sens. 13(5): 857 (2021) - [j10]Kwanele Phinzi, Dávid Abriha, Szilárd Szabó:
Classification Efficacy Using K-Fold Cross-Validation and Bootstrapping Resampling Techniques on the Example of Mapping Complex Gully Systems. Remote. Sens. 13(15): 2980 (2021) - 2020
- [j9]Ansgar D. Endress, Szilárd Szabó:
Sequential Presentation Protects Working Memory From Catastrophic Interference. Cogn. Sci. 44(5) (2020) - [j8]Kwanele Phinzi, Dávid Abriha, László Bertalan, Imre Holb, Szilárd Szabó:
Machine Learning for Gully Feature Extraction Based on a Pan-Sharpened Multispectral Image: Multiclass vs. Binary Approach. ISPRS Int. J. Geo Inf. 9(4): 252 (2020) - [j7]Orsolya Gyöngyi Varga, Robert Gilmore Pontius Jr., Zsuzsanna Szabó, Szilárd Szabó:
Effects of Category Aggregation on Land Change Simulation Based on Corine Land Cover Data. Remote. Sens. 12(8): 1314 (2020) - [j6]Loránd Szabó, Balázs Deák, Tibor Bíró, Gareth J. Dyke, Szilárd Szabó:
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. Remote. Sens. 12(9): 1468 (2020) - [j5]Aletta Dóra Schlosser, Gergely Szabó, László Bertalan, Zsolt Varga, Péter Enyedi, Szilárd Szabó:
Building Extraction Using Orthophotos and Dense Point Cloud Derived from Visual Band Aerial Imagery Based on Machine Learning and Segmentation. Remote. Sens. 12(15): 2397 (2020) - [j4]Zsuzsanna Szabó, Tomás Mikita, Gábor Négyesi, Orsolya Gyöngyi Varga, Péter Burai, László Takács-Szilágyi, Szilárd Szabó:
Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches. Remote. Sens. 12(21): 3652 (2020) - [j3]Zsuzsanna Szabó, Csaba Albert Tóth, Imre Holb, Szilárd Szabó:
Aerial Laser Scanning Data as a Source of Terrain Modeling in a Fluvial Environment: Biasing Factors of Terrain Height Accuracy. Sensors 20(7): 2063 (2020)
2010 – 2019
- 2019
- [j2]Péter Enyedi, Melinda Pap, Zoltán Kovács, László Takács-Szilágyi, Szilárd Szabó:
Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model. Int. J. Digit. Earth 12(9): 1067-1082 (2019) - 2016
- [j1]Szilárd Szabó, László Bertalan, Ágnes Kerekes, Tibor J. Novák:
Possibilities of land use change analysis in a mountainous rural area: a methodological approach. Int. J. Geogr. Inf. Sci. 30(4): 708-726 (2016)
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last updated on 2024-08-04 19:11 CEST by the dblp team
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