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pro vyhledávání: '"Haußer, Frank"'
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
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
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
Akademický článek
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Publikováno v:
Machine Learning & Knowledge Extraction; Jun2024, Vol. 6 Issue 2, p1170-1192, 23p
Autor:
Hausser, Frank.
Berlin, Freie University, Diss., 1998.
Dateiformat: zip, Dateien im PDF-Format.
Dateiformat: zip, Dateien im PDF-Format.
Autor:
Hausser, Frank, Lakshtanov, Evgeny
Publikováno v:
Phys. Rev. E 86, 062601 (2012)
Within the framework of the LSW theory of Ostwald ripening the amount of volume of the second (solid) phase that is newly formed by recrystallization is investigated. It is shown, that in the late stage, the portion of the newly generated volume form
Externí odkaz:
http://arxiv.org/abs/1201.4492