Zobrazeno 1 - 10
of 5 856
pro vyhledávání: '"Stumpf, P"'
Autor:
Zhang, Stephen Y, Lan, Fangfei, Zhou, Youjia, Barbensi, Agnese, Stumpf, Michael P H, Wang, Bei, Needham, Tom
Interactions and relations between objects may be pairwise or higher-order in nature, and so network-valued data are ubiquitous in the real world. The "space of networks", however, has a complex structure that cannot be adequately described using con
Externí odkaz:
http://arxiv.org/abs/2409.06302
We consider three simple quadratic time algorithms for the problem Level Planarity and give a level-planar instance that they either falsely report as negative or for which they output a drawing that is not level planar.
Comment: Poster presente
Comment: Poster presente
Externí odkaz:
http://arxiv.org/abs/2409.01727
Numerous fairness metrics have been proposed and employed by artificial intelligence (AI) experts to quantitatively measure bias and define fairness in AI models. Recognizing the need to accommodate stakeholders' diverse fairness understandings, effo
Externí odkaz:
http://arxiv.org/abs/2407.11442
Publikováno v:
Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct '24), July 1--4, 2024, Cagliari, Italy
Biases in Artificial Intelligence (AI) or Machine Learning (ML) systems due to skewed datasets problematise the application of prediction models in practice. Representation bias is a prevalent form of bias found in the majority of datasets. This bias
Externí odkaz:
http://arxiv.org/abs/2407.09485
Publikováno v:
Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct '24), July 1--4, 2024, Cagliari, Italy
With the increasing adoption of Artificial Intelligence (AI) systems in high-stake domains, such as healthcare, effective collaboration between domain experts and AI is imperative. To facilitate effective collaboration between domain experts and AI s
Externí odkaz:
http://arxiv.org/abs/2405.13038
Topological data analysis is a powerful tool for describing topological signatures in real world data. An important challenge in topological data analysis is matching significant topological signals across distinct systems. In geometry and probabilit
Externí odkaz:
http://arxiv.org/abs/2403.19097
Dysarthria, a condition resulting from impaired control of the speech muscles due to neurological disorders, significantly impacts the communication and quality of life of patients. The condition's complexity, human scoring and varied presentations m
Externí odkaz:
http://arxiv.org/abs/2403.00854
Autor:
Constantinides, Marios, Tahaei, Mohammad, Quercia, Daniele, Stumpf, Simone, Madaio, Michael, Kennedy, Sean, Wilcox, Lauren, Vitak, Jessica, Cramer, Henriette, Bogucka, Edyta, Baeza-Yates, Ricardo, Luger, Ewa, Holbrook, Jess, Muller, Michael, Blumenfeld, Ilana Golbin, Pistilli, Giada
With the upcoming AI regulations (e.g., EU AI Act) and rapid advancements in generative AI, new challenges emerge in the area of Human-Centered Responsible Artificial Intelligence (HCR-AI). As AI becomes more ubiquitous, questions around decision-mak
Externí odkaz:
http://arxiv.org/abs/2403.00148
As Artificial Intelligence (AI) becomes ubiquitous, the need for Explainable AI (XAI) has become critical for transparency and trust among users. A significant challenge in XAI is catering to diverse users, such as data scientists, domain experts, an
Externí odkaz:
http://arxiv.org/abs/2403.00137
Autor:
Nordebo, Sven, Stumpf, Martin
This paper presents a systematic approach to derive physical bounds for Positive Real (PR) functions directly in the Time-Domain (TD). The theory is based on Cauer's representation of an arbitrary PR function together with associated sum rules (momen
Externí odkaz:
http://arxiv.org/abs/2402.04806