Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Chiaburu, Teodor"'
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
Climate change poses complex challenges, with extreme weather events becoming increasingly frequent and difficult to model. Examples include the dynamics of Combined Sewer Systems (CSS). Overburdened CSS during heavy rainfall will overflow untreated
Externí odkaz:
http://arxiv.org/abs/2408.11619
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:
Chiaburu, Teodor, Biessmann, Felix
Climate change poses increasingly complex challenges to our society. Extreme weather events such as floods, wild fires or droughts are becoming more frequent, spontaneous and difficult to foresee or counteract. In this work we specifically address th
Externí odkaz:
http://arxiv.org/abs/2401.02465
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
Publikováno v:
Machine Learning & Knowledge Extraction; Jun2024, Vol. 6 Issue 2, p1170-1192, 23p
Autor:
Tschaikner, Martin, Brandt, Danja, Schmidt, Henning, Bießmann, Felix, Chiaburu, Teodor, Schrimpf, Ilona, Schrimpf, Thomas, Stadel, Alexandra, Haußer, Frank, Beckers, Ingeborg
Publikováno v:
Proceedings of SPIE; 11/26/2023, Vol. 12727, p1272702-1272702, 1p
Autor:
Neale, Christopher M. U., Maltese, Antonino, Tschaikner, Martin, Brandt, Danja, Schmidt, Henning, Bießmann, Felix, Chiaburu, Teodor, Schrimpf, Ilona, Schrimpf, Thomas, Stadel, Alexandra, Haußer, Frank, Beckers, Ingeborg
Publikováno v:
Proceedings of SPIE; October 2023, Vol. 12727 Issue: 1 p1272702-1272702-7