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Titlebook: Advanced Visual Interfaces. Supporting Artificial Intelligence and Big Data Applications; AVI 2020 Workshops, Thoralf Reis,Marco X. Bornsc

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21#
發(fā)表于 2025-3-25 03:43:21 | 只看該作者
https://doi.org/10.1007/978-3-319-04001-1munities. Machine learning has also seen a revolution with regards to versatility and performance in the last decade using techniques like “Deep Learning”. Classical as well as modern machine learning (ML) techniques are already used in key areas within metagenomics. There are however several challe
22#
發(fā)表于 2025-3-25 10:06:51 | 只看該作者
23#
發(fā)表于 2025-3-25 14:09:30 | 只看該作者
Getachew Belay,Virginia Kimani,David Wafulaity of the AI (XAI) when reading 12-lead ECGs. To develop AI systems, many principles (human rights, well-being, data agency, effectiveness, transparency, accountability, awareness of misuse and competence) must be considered to ensure that the AI is trustworthy and applicable. The current computeri
24#
發(fā)表于 2025-3-25 17:01:17 | 只看該作者
H. Traoré,S. A. O. Héma,K. Traoréus feelings; the target of this paper is measuring and predicting these facial expressions. Analysis of data from emotional monitoring of dementia patients at home or during medical treatment will help healthcare professionals to judge the behavior of people with dementia in an improved and more inf
25#
發(fā)表于 2025-3-25 23:02:57 | 只看該作者
26#
發(fā)表于 2025-3-26 03:43:07 | 只看該作者
Atsushi Komamine,Ryoichi Kawahara logical entity-relationships to scientists and professionals working in this application domain. It thereby enables re-utilization of concepts and software, prevents reinventing the wheel and facilitates collaboration scenarios. AI2VIS4BigData was systematically derived from two foundation referenc
27#
發(fā)表于 2025-3-26 05:04:51 | 只看該作者
28#
發(fā)表于 2025-3-26 11:47:58 | 只看該作者
29#
發(fā)表于 2025-3-26 14:19:20 | 只看該作者
30#
發(fā)表于 2025-3-26 20:31:46 | 只看該作者
The miraculous Protein Production,alization and Usability and UX Laboratory) of the University of Bari Aldo Moro. This Lab has a long tradition in HCI. At the IVU Lab, Paolo Buono is the coordinator of the Information Visualization and Visual Analytics activities and he (co)authored the publications that resulted from the research o
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