Zobrazeno 1 - 10
of 4 044
pro vyhledávání: '"Igel A"'
Autor:
Dhabu, Anjali C., Bernauer, Felix, Liao, Chun-Man, Niederleithinger, Ernst, Igel, Heiner, Hadziioannou, Celine
Earthquakes cause catastrophic damage to buildings and loss of human life. Civil engineers across the globe design earthquake-resistant buildings to minimize this damage. Conventionally, the structures are designed to resist the translational motions
Externí odkaz:
http://arxiv.org/abs/2411.02203
Autor:
Hauptvogel, Nick, Igel, Christian
Bayesian neural networks address epistemic uncertainty by learning a posterior distribution over model parameters. Sampling and weighting networks according to this posterior yields an ensemble model referred to as Bayes ensemble. Ensembles of neural
Externí odkaz:
http://arxiv.org/abs/2406.05469
Autor:
Guthula, Venkanna Babu, Oehmcke, Stefan, Chilaule, Remigio, Zhang, Hui, Lang, Nico, Kariryaa, Ankit, Mottelson, Johan, Igel, Christian
As low-quality housing and in particular certain roof characteristics are associated with an increased risk of malaria, classification of roof types based on remote sensing imagery can support the assessment of malaria risk and thereby help prevent t
Externí odkaz:
http://arxiv.org/abs/2406.04949
Modern neural networks are often massively overparameterized leading to high compute costs during training and at inference. One effective method to improve both the compute and energy efficiency of neural networks while maintaining good performance
Externí odkaz:
http://arxiv.org/abs/2406.01345
Autor:
Nedungadi, Vishal, Kariryaa, Ankit, Oehmcke, Stefan, Belongie, Serge, Igel, Christian, Lang, Nico
The volume of unlabelled Earth observation (EO) data is huge, but many important applications lack labelled training data. However, EO data offers the unique opportunity to pair data from different modalities and sensors automatically based on geogra
Externí odkaz:
http://arxiv.org/abs/2405.02771
Autor:
Møller, Bjørn Leth, Lo, Bobby Zhao Sheng, Burisch, Johan, Bendtsen, Flemming, Vind, Ida, Ibragimov, Bulat, Igel, Christian
Ulcerative Colitis (UC) is a chronic inflammatory bowel disease decreasing life quality through symptoms such as bloody diarrhoea and abdominal pain. Endoscopy is a cornerstone of diagnosis and monitoring of UC. The Mayo endoscopic subscore (MES) ind
Externí odkaz:
http://arxiv.org/abs/2404.08693
The recent advances in deep learning (DL) have been accelerated by access to large-scale data and compute. These large-scale resources have been used to train progressively larger models which are resource intensive in terms of compute, data, energy,
Externí odkaz:
http://arxiv.org/abs/2403.12562
Autor:
Li, Lei, Zhang, Tianfang, Jiang, Zhongyu, Yang, Cheng-Yen, Hwang, Jenq-Neng, Oehmcke, Stefan, Gominski, Dimitri Pierre Johannes, Gieseke, Fabian, Igel, Christian
Accurate and consistent methods for counting trees based on remote sensing data are needed to support sustainable forest management, assess climate change mitigation strategies, and build trust in tree carbon credits. Two-dimensional remote sensing i
Externí odkaz:
http://arxiv.org/abs/2403.01932
Trees inside cities are important for the urban microclimate, contributing positively to the physical and mental health of the urban dwellers. Despite their importance, often only limited information about city trees is available. Therefore in this p
Externí odkaz:
http://arxiv.org/abs/2311.11592
Autor:
Gominski, Dimitri, Kariryaa, Ankit, Brandt, Martin, Igel, Christian, Li, Sizhuo, Mugabowindekwe, Maurice, Fensholt, Rasmus
There is a rising interest in mapping trees using satellite or aerial imagery, but there is no standardized evaluation protocol for comparing and enhancing methods. In dense canopy areas, the high variability of tree sizes and their spatial proximity
Externí odkaz:
http://arxiv.org/abs/2311.07981