Thomas Stark

Orcid: 0000-0002-6166-7541

According to our database1, Thomas Stark authored at least 14 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Quantifying Uncertainty in Slum Detection: Advancing Transfer Learning With Limited Data in Noisy Urban Environments.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Ai-Based Building Instance Segmentation in Formal and Informal Settlements.
Proceedings of the IGARSS 2024, 2024

2023
Revealing landslide exposure of informal settlements in Medellín using Deep Learning.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Efficiency of CNNs for Building Extraction: Comparative Analysis of Performance and Time.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Detecting challenging urban environments using a few-shot meta-learning approach.
Proceedings of the Joint Urban Remote Sensing Event, 2023

Using CNNs on Sentinel-2 data for road traffic noise modelling.
Proceedings of the Joint Urban Remote Sensing Event, 2023

2021
Development and Evaluation of an Improved Apparatus for Measuring the Emissivity at High Temperatures.
Sensors, 2021

Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling.
ISPRS Int. J. Geo Inf., 2021

2020
Satellite-Based Mapping of Urban Poverty With Transfer-Learned Slum Morphologies.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019
Modelling the impact of the urban spatial structure on the choice of residential location using 'big earth data' and machine learning.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Large-scale building extraction in very high-resolution aerial imagery using Mask R-CNN.
Proceedings of the Joint Urban Remote Sensing Event, 2019

Slum Mapping in Imbalanced Remote Sensing Datasets Using Transfer Learned Deep Features.
Proceedings of the Joint Urban Remote Sensing Event, 2019

2018
Patient-specific estimation of detailed cochlear shape from clinical CT images.
Int. J. Comput. Assist. Radiol. Surg., 2018

2010
Intuitive Visualisierung von Zielregionen in der minimal invasiven Chirurgie mittels projektorbasierter Erweiterter Realität.
Proceedings of the 9. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2010


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