In the context of the ever growing quantity of multimedia content from social, news and
educational platforms, generating meaningful recommendations and ratings now requires a …

The ImageCLEFfusion task addresses the challenging task of creating ensembling schemes
and algorithms for fusing a large set of inducers in two particular scenarios: a regression …

Result diversification provides a broader view of a topic, while maximizing the chances of
retrieving relevant information. It avoids the bias in results, thus improving the user …

ImageCLEF s part of the Conference and Labs of the Evaluation Forum (CLEF) since 2003.
CLEF 2022 will take place in Bologna, Italy. ImageCLEF is an ongoing evaluation initiative …

Online social networks use AI techniques to automatically infer profiles from users' shared
data. However, these inferences and their effects remain, to a large extent, opaque to the …

The current landscape of ensemble learning or late fusion approaches is dominated by
methods that employ a very low number of inducer systems, while using traditional …

The era of big data presents an important challenge for data analysis, processing and
learning, as information become available in such a volume. In this context, images, video …

2.1 Taxonomie și definiții 4 2.2 Înțelegerea umană a proprietăților subiective ale datelor
multimedia 5 2.3 Baze de date și studii pe utilizatori 5 2.4 Metode computaţionale 6 2.4. 1 …