
AITANA-MoMo. Project funded by the Valencian Institute of Business Competitiveness (IVACE) and European Union through the European Regional Development Fund (ERDF), within the public grant program adressed to Technological Institutes of the Valencian Community for the development of non-economic R&D projects carried out in cooperation with companies during 2022 with 135.566,10 €. File number: IMDEEA/2022/50
This document represents a poster for the project, which is part of the project's dissemination activities.
machine learning, visualization tools, AITANAMOMO, artificial intelligence, algorithm analysis, model monitoring, 2022
machine learning, visualization tools, AITANAMOMO, artificial intelligence, algorithm analysis, model monitoring, 2022
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
