Zobrazeno 1 - 10
of 85 352
pro vyhledávání: '"A. A. Udo"'
Estimating entropy production from real observation data can be difficult due to finite resolution in both space and time and finite measurement statistics. We characterize the statistical error introduced by finite sample size and compare the perfor
Externí odkaz:
http://arxiv.org/abs/2412.04102
As artificial intelligence (AI) becomes increasingly embedded in daily life, designing intuitive, trustworthy, and emotionally resonant AI-human interfaces has emerged as a critical challenge. This editorial introduces a Special Issue that explores t
Externí odkaz:
http://arxiv.org/abs/2412.09000
Autor:
Hahn, Udo
We survey clinical document corpora, with focus on German textual data. Due to rigid data privacy legislation in Germany these resources, with only few exceptions, are stored in safe clinical data spaces and locked against clinic-external researchers
Externí odkaz:
http://arxiv.org/abs/2412.00230
We consider a capacitated job shop problem with order acceptance. This research is motivated by the management of a research and development project pipeline for a company in the agricultural industry whose success depends on regularly releasing new
Externí odkaz:
http://arxiv.org/abs/2411.19363
Autor:
Guidotti, Sabrina, Donabauer, Gregor, Somazzi, Simone, Kruschwitz, Udo, Taibi, Davide, Ognibene, Dimitri
The widespread use of social media has highlighted potential negative impacts on society and individuals, largely driven by recommendation algorithms that shape user behavior and social dynamics. Understanding these algorithms is essential but challe
Externí odkaz:
http://arxiv.org/abs/2410.04552
Autor:
Klein, Lukas, Lüth, Carsten T., Schlegel, Udo, Bungert, Till J., El-Assady, Mennatallah, Jäger, Paul F.
Explainable AI (XAI) is a rapidly growing domain with a myriad of proposed methods as well as metrics aiming to evaluate their efficacy. However, current studies are often of limited scope, examining only a handful of XAI methods and ignoring underly
Externí odkaz:
http://arxiv.org/abs/2409.16756
Microelectronic magnetic sensors are essential in diverse applications, including automotive, industrial, and consumer electronics. Hall-effect devices hold the largest share of the magnetic sensor market, and they are particularly valued for their r
Externí odkaz:
http://arxiv.org/abs/2409.04333
Autor:
Schlegel, Udo, Keim, Daniel A.
The field of Explainable Artificial Intelligence (XAI) for Deep Neural Network models has developed significantly, offering numerous techniques to extract explanations from models. However, evaluating explanations is often not trivial, and difference
Externí odkaz:
http://arxiv.org/abs/2408.15073
User-centered evaluations are a core requirement in the development of new user related technologies. However, it is often difficult to recruit sufficient participants, especially if the target population is small, particularly busy, or in some way r
Externí odkaz:
http://arxiv.org/abs/2408.10933
Autor:
Fisch, Lukas, Winter, Nils R., Goltermann, Janik, Barkhau, Carlotta, Emden, Daniel, Ernsting, Jan, Konowski, Maximilian, Leenings, Ramona, Borgers, Tiana, Flinkenflügel, Kira, Grotegerd, Dominik, Kraus, Anna, Leehr, Elisabeth J., Meinert, Susanne, Stein, Frederike, Teutenberg, Lea, Thomas-Odenthal, Florian, Usemann, Paula, Hermesdorf, Marco, Jamalabadi, Hamidreza, Jansen, Andreas, Nenadic, Igor, Straube, Benjamin, Kircher, Tilo, Berger, Klaus, Risse, Benjamin, Dannlowski, Udo, Hahn, Tim
Voxel-based Morphometry (VBM) has emerged as a powerful approach in neuroimaging research, utilized in over 7,000 studies since the year 2000. Using Magnetic Resonance Imaging (MRI) data, VBM assesses variations in the local density of brain tissue a
Externí odkaz:
http://arxiv.org/abs/2408.10656