Zobrazeno 1 - 10
of 4 027
pro vyhledávání: '"A. Groeger"'
Autor:
L. Hawker, J. Neal, J. Savage, T. Kirkpatrick, R. Lord, Y. Zylberberg, A. Groeger, T. D. Thuy, S. Fox, F. Agyemang, P. K. Nam
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 539-566 (2024)
Flooding is an endemic global challenge with annual damages totalling billions of dollars. Impacts are felt most acutely in low- and middle-income countries, where rapid demographic change is driving increased exposure. These areas also tend to lack
Externí odkaz:
https://doaj.org/article/a80a0008d35f4bf993d7ba52f7331515
Root Cause Analysis (RCA) is a quality management method that aims to systematically investigate and identify the cause-and-effect relationships of problems and their underlying causes. Traditional methods are based on the analysis of problems by sub
Externí odkaz:
http://arxiv.org/abs/2407.16388
Real-time bioaerosol monitoring is improving the quality of life for people affected by allergies, but it often relies on deep-learning models which pose challenges for widespread adoption. These models are typically trained in a supervised fashion a
Externí odkaz:
http://arxiv.org/abs/2406.09984
Autor:
Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Bazazian, Dena, Gottfrois, Philippe, Gröger, Fabian, Pouly, Marc, Navarini, Alexander
Out-Of-Distribution (OOD) detection is critical to deploy deep learning models in safety-critical applications. However, the inherent hierarchical concept structure of visual data, which is instrumental to OOD detection, is often poorly captured by c
Externí odkaz:
http://arxiv.org/abs/2403.15260
Autor:
Gröger, Fabian, Lionetti, Simone, Gottfrois, Philippe, Gonzalez-Jimenez, Alvaro, Groh, Matthew, Daneshjou, Roxana, Consortium, Labelling, Navarini, Alexander A., Pouly, Marc
Publikováno v:
Proceedings of the 3rd Machine Learning for Health Symposium, PMLR 225:101-128, 2023
Benchmark datasets for digital dermatology unwittingly contain inaccuracies that reduce trust in model performance estimates. We propose a resource-efficient data-cleaning protocol to identify issues that escaped previous curation. The protocol lever
Externí odkaz:
http://arxiv.org/abs/2309.06961
Publikováno v:
Gr\"oger, Fabian; Pouly, Marc; Tinner, Flavia & Brandes, Leif (2022). Assessing Guest Nationality Composition from Hotel Reviews. Proceedings of the 9th Swiss Data Science Conference, 1
Many hotels target guest acquisition efforts to specific markets in order to best anticipate individual preferences and needs of their guests. Likewise, such strategic positioning is a prerequisite for efficient marketing budget allocation. Official
Externí odkaz:
http://arxiv.org/abs/2308.06175
Autor:
Lin Qi, Marko Groeger, Aditi Sharma, Ishan Goswami, Erzhen Chen, Fenmiao Zhong, Apsara Ram, Kevin Healy, Edward C. Hsiao, Holger Willenbring, Andreas Stahl
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Interactions between adipose tissue, liver and immune system are at the center of metabolic dysfunction-associated steatotic liver disease and type 2 diabetes. To address the need for an accurate in vitro model, we establish an interconnecte
Externí odkaz:
https://doaj.org/article/278065363b2c41c582d81e0c6481a1ce
Autor:
Gonzalez-Jimenez, Alvaro, Lionetti, Simone, Gottfrois, Philippe, Gröger, Fabian, Pouly, Marc, Navarini, Alexander
This paper presents a new robust loss function, the T-Loss, for medical image segmentation. The proposed loss is based on the negative log-likelihood of the Student-t distribution and can effectively handle outliers in the data by controlling its sen
Externí odkaz:
http://arxiv.org/abs/2306.00753
Autor:
Gröger, Fabian, Lionetti, Simone, Gottfrois, Philippe, Gonzalez-Jimenez, Alvaro, Amruthalingam, Ludovic, Consortium, Labelling, Groh, Matthew, Navarini, Alexander A., Pouly, Marc
Most benchmark datasets for computer vision contain irrelevant images, near duplicates, and label errors. Consequently, model performance on these benchmarks may not be an accurate estimate of generalization capabilities. This is a particularly acute
Externí odkaz:
http://arxiv.org/abs/2305.17048
It is known that if each point $x$ of a dynamical system is generic for some invariant measure $\mu_x$, then there is a strong connection between certain ergodic and topological properties of that system. In particular, if the acting group is abelian
Externí odkaz:
http://arxiv.org/abs/2303.17191