Zobrazeno 1 - 10
of 4 292
pro vyhledávání: '"A. Hausser"'
Evaluating the quality of explanations in Explainable Artificial Intelligence (XAI) is to this day a challenging problem, with ongoing debate in the research community. While some advocate for establishing standardized offline metrics, others emphasi
Externí odkaz:
http://arxiv.org/abs/2409.17157
Autor:
Tschaikner, Martin, Brandt, Danja, Schmidt, Henning, Bießmann, Felix, Chiaburu, Teodor, Schrimpf, Ilona, Schrimpf, Thomas, Stadel, Alexandra, Haußer, Frank, Beckers, Ingeborg
Publikováno v:
Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV, SPIE 12727 (2023) 1272702
Insect populations are declining globally, making systematic monitoring essential for conservation. Most classical methods involve death traps and counter insect conservation. This paper presents a multisensor approach that uses AI-based data fusion
Externí odkaz:
http://arxiv.org/abs/2404.18504
Autor:
Brandt, Danja, Tschaikner, Martin, Chiaburu, Teodor, Schmidt, Henning, Schrimpf, Ilona, Stadel, Alexandra, Beckers, Ingeborg E., Haußer, Frank
Publikováno v:
Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2023. Lecture Notes in Networks and Systems, vol 824. Springer
Preserving the number and diversity of insects is one of our society's most important goals in the area of environmental sustainability. A prerequisite for this is a systematic and up-scaled monitoring in order to detect correlations and identify cou
Externí odkaz:
http://arxiv.org/abs/2404.17488
Mounting evidence in explainability for artificial intelligence (XAI) research suggests that good explanations should be tailored to individual tasks and should relate to concepts relevant to the task. However, building task specific explanations is
Externí odkaz:
http://arxiv.org/abs/2404.14830
Autor:
Hausser, H. N., Keller, J., Nordmann, T., Bhatt, N. M., Kiethe, J., Liu, H., Richter, I. M., von Boehn, M., Rahm, J., Weyers, S., Benkler, E., Lipphardt, B., Doerscher, S., Stahl, K., Klose, J., Lisdat, C., Filzinger, M., Huntemann, N., Peik, E., Mehlstäubler, T. E.
We present a scalable mixed-species Coulomb crystal clock based on the $^1S_0$ $\leftrightarrow$ $^3P_0$ transition in $^{115}$In$^+$. $^{172}$Yb$^+$ ions are co-trapped and used for sympathetic cooling. Reproducible interrogation conditions for mixe
Externí odkaz:
http://arxiv.org/abs/2402.16807
In a Nature LETTER [1], a control of neutron angular momentum was apparently demonstrated using a neutron crystal interferometer. In the meantime, a number of highly interesting articles have been published dealing with the n-OAM and neutron interfer
Externí odkaz:
http://arxiv.org/abs/2309.03594
Autor:
Yu. A. Rzepetsky, A. A. Samoylenko, O. P. Kukharenko, S. V. Mikhalap, S. P. Sidorenko, A. Hausser, L. B. Drobot
Publikováno v:
Біологічні студії, Vol 3, Iss 3, Pp 17-28 (2009)
Adaptor protein Ruk/CIN85 is built of multiple domains and motives involved in the intermolecular interactions. It functions as a key component of signalling networks that controls important cellular responses in coordinated fashion. The presence of
Externí odkaz:
https://doaj.org/article/cb918d8da6bf470ab0962bd9d00c9c22
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 2, Pp 1170-1192 (2024)
Artificial Intelligence (AI) plays an increasingly integral role in decision-making processes. In order to foster trust in AI predictions, many approaches towards explainable AI (XAI) have been developed and evaluated. Surprisingly, one factor that i
Externí odkaz:
https://doaj.org/article/23da3d378e014fb887e9c395f1ee908a
Autor:
Spencer S. Watson, Benoit Duc, Ziqi Kang, Axel de Tonnac, Nils Eling, Laure Font, Tristan Whitmarsh, Matteo Massara, iMAXT Consortium, Bernd Bodenmiller, Jean Hausser, Johanna A. Joyce
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The tumor microenvironment plays a crucial role in determining response to treatment. This involves a series of interconnected changes in the cellular landscape, spatial organization, and extracellular matrix composition. However, assessing
Externí odkaz:
https://doaj.org/article/eaf2eec4622b451e8d2ad39be042dd33
Insects are a crucial part of our ecosystem. Sadly, in the past few decades, their numbers have worryingly decreased. In an attempt to gain a better understanding of this process and monitor the insects populations, Deep Learning may offer viable sol
Externí odkaz:
http://arxiv.org/abs/2206.07497