Zobrazeno 1 - 10
of 402
pro vyhledávání: '"A. Chiaburu"'
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
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
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
Autor:
Ileana-Sabina CHIABURU
Publikováno v:
EURINT, Vol 9, Pp 68-91 (2022)
Within the transformations of systems, government procurement could be used as a lever when addressing the challenge of fair access to goods and services in times of crisis as COVID-19. To find adequate solutions and raise the capacity for a quick re
Externí odkaz:
https://doaj.org/article/5c89e7a6f9594766a235da365bee55ae
Autor:
Chiaburu, Ileana-Sabina
Publikováno v:
EURINT. 9(1):68-90
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1092594