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2020 – today
- 2025
[j6]Sebastian Lehner
, Katharina Enigl, Matthias Schlögl:
Derivation of characteristic physioclimatic regions through density-based spatial clustering of high-dimensional data. Environ. Model. Softw. 186: 106324 (2025)- 2024
- [j5]Stefan Schlaffer, Matthias Schlögl:
Snow Avalanche Debris Analysis Using Time Series of Dual-Polarimetric Synthetic Aperture Radar Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12567-12578 (2024) - [c15]Cam Le, Lam Pham, Jasmin Lampert, Matthias Schlögl, Alexander Schindler:
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Networks. IGARSS 2024: 9582-9586 - [i3]Christos Sardianos, Chrysostomos Symvoulidis, Matthias Schlögl, Iraklis Varlamis, Georgios Th. Papadopoulos:
Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study. CoRR abs/2404.15757 (2024) - 2023
- [c14]Florian Windhager, Johannes Liem, Eva Mayr, Matthias Schlögl, Carla Ebel, Nora Probst, Samuel Beck, Gertraud Koch:
Skalierbare Blicke auf Leben und Werk: Visuelle Analyse und Kuratierung von kulturellen Objekten und Künstler*innen-Biographien. DHd 2023: 51 - [i2]Cam Le, Lam Pham, Jasmin Lampert, Matthias Schlögl, Alexander Schindler:
Landslide Detection and Segmentation Using Remote Sensing Images and Deep Neural Network. CoRR abs/2312.16717 (2023) - [i1]Andrea Siposova, Rudolf Mayer, Matthias Schlögl, Jasmin Lampert:
Supporting Landslide Disaster Risk Reduction Using Data-driven Methods. ERCIM News 2023(135) (2023) - 2022
- [c13]Peter Andorfer, Matthias Schlögl, Roman Bleier:
NERDPool - Datenpool für Named Entity Recognition. DHd 2022 - [c12]Georg Vogeler, Richard Hadden, Matthias Schlögl, Gunter Vasold:
Prosopographische Interoperabilität (IPIF) - Stand der Entwicklungen. DHd 2022 - [c11]Georg Vogeler, Richard Hadden, Matthias Schlögl, Gunter Vasold:
Prosopographische Interoperabilität (IPIF) - Stand der Entwicklungen. DHd 2022 - 2020
- [j4]Stefan M. Spann, Xingfeng Shao, Danny J. J. Wang, Christoph S. Aigner, Matthias Schloegl, Kristian Bredies, Rudolf Stollberger:
Robust single-shot acquisition of high resolution whole brain ASL images by combining time-dependent 2D CAPIRINHA sampling with spatio-temporal TGV reconstruction. NeuroImage 206 (2020) - [j3]Michael A. Heroux, Christian Bauer, Matthias Schlögl, Barbara Widhalm, Karlheinz Gutjahr, Michael Paster, Christoph Hauer, Melina Frießenbichler, Anton Neureiter, Gernot Weyss, Peter Flödl, Gernot Seier, Wolfgang Sulzer:
The Status of Earth Observation Techniques in Monitoring High Mountain Environments at the Example of Pasterze Glacier, Austria: Data, Methods, Accuracies, Processes, and Scales. Remote. Sens. 12(8): 1251 (2020) - [c10]Christiane Fritze, Matthias Schlögl, Sascha Grabsch:
Events: Modellierungen und Schnittstellen. DHd 2020 - [c9]Georg Vogeler, Matthias Schlögl, Gunter Vasold:
Prosopographische Interoperabilität - Stand der Dinge. DHd 2020
2010 – 2019
- 2019
- [j2]Sven Fuchs, Micha Heiser, Matthias Schlögl, Andreas Zischg, Maria Papathoma-Köhle, Margreth Keiler:
Short communication: A model to predict flood loss in mountain areas. Environ. Model. Softw. 117: 176-180 (2019) - [c8]Georg Vogeler, Gunter Vasold, Matthias Schlögl:
Data Exchange in Practice: Towards a Prosopographical API. BD 2019: 40-48 - [c7]Matthias Schlögl, Peter Andorfer:
HistoGIS: Vom Punkt zur Fläche in Raum und Zeit. DHd 2019 - [c6]Georg Vogeler, Gunter Vasold, Matthias Schlögl:
Von IIIF zu IPIF? Ein Vorschlag für den Datenaustausch über Personen. DHd 2019 - 2018
- [c5]Matthias Schlögl, Ágoston Zénó Bernád, Maximilian Kaiser, Katalin Lejtovicz, Peter Rumpolt:
Biographik in den Digital Humanities - Kritische Bestandsaufnahme und quantitative Analysemöglichkeiten am Beispiel des Österreichischen Biographischen Lexikons 1815-1950. DHd 2018 - 2017
- [c4]Matthias Schlögl, Katalin Lejtovicz:
A Prosopographical Information System (APIS). BD 2017: 53-58 - [c3]Florian Windhager, Matthias Schlögl, Maximilian Kaiser, Ágoston Zénó Bernád, Saminu Salisu, Eva Mayr:
Beyond One-Dimensional Portraits: A Synoptic Approach to the Visual Analysis of Biography Data. BD 2017: 67-75 - [c2]Matthias Schlögl, Katalin Lejtovicz:
APIS - Eine Linked Open Data basierte Datamining-Webapplikation für das Auswerten biographischer Daten. DHd 2017 - 2013
- [j1]Diego Salas-Gonzalez, J. M. Górriz, Javier Ramírez, Matthias Schloegl, Elmar Wolfgang Lang, Andrés Ortiz:
Parameterization of the distribution of white and grey matter in MRI using the αα-stable distribution. Comput. Biol. Medicine 43(5): 559-567 (2013) - 2011
- [c1]Diego Salas-Gonzalez, Matthias Schlögl, Juan Manuel Górriz, Javier Ramírez, Elmar Wolfgang Lang:
Bayesian Segmentation of Magnetic Resonance Images Using the α-Stable Distribution. HAIS (1) 2011: 99-106
Coauthor Index
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last updated on 2025-03-04 21:13 CET by the dblp team
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