A survey on Image Data Augmentation for Deep Learning
Journal of Big Data, 2019 Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are heavily reliant on big data to avoid overfitting. Overfitting refers to the phenomenon when a network learns a function with very
Connor Shorten, T. Khoshgoftaar
semanticscholar +1 more source
A Virtual Community for Disability Advocacy: Development of a Searchable Artificial Intelligence-Supported Platform. [PDF]
JMIR Form Res, 2021 El Morr C +11 more
europepmc +1 more source
Communities, Harvesting, and CGIF: Building the Research Data Graph at NFDI4Culture [PDF]
NFDI4Culture provides the Culture Knowledge Graph to facilitate FAIRness in its communities. It provides a lightweight infrastructure that interconnects research data from diverse domains such as architectural studies, art history, musicology, performing
Bruns, Oleksandra +13 more
core +2 more sources
Digital cultural heritage standards: from silo to semantic web. [PDF]
AI Soc, 2022 O'Neill B, Stapleton L.
europepmc +1 more source
Deep Multilabel Multilingual Document Learning for Cross-Lingual Document Retrieval. [PDF]
Entropy (Basel), 2022 Feng K +5 more
europepmc +1 more source
Relationship Matters: an Exploration of Participatory Linked Data as Decolonial Archival Praxis [PDF]
Linked Open Data (LOD) and decolonization present two trends for archives. While the former is often considered technical and the latter ethical, both movements are practical and epistemic challenges to traditional archival authority.
Hudnut-Beumler, Adam
core +2 more sources
Valorisation des notices de l'inventaire d'une archive audiovisuelle en Linked Open Data: le cas du Montreux Jazz Digital Project [PDF]
, 2020 Le partage et la réutilisation des données liées aux notices d’inventaire, via les technologies du Linked Data (LD) et du Linked Open Data (LOD), émergent peu à peu dans le paysage de la description archivistique.
Chardonnens, Alain +2 more
core
Nuovi modi di produrre e condividere l'informazione bibliografica: una sperimentazione dell’uso del Wikibase Data Model per i dati UNIMARC [PDF]
, 2018 Starting from the consideration that UNIMARC (and in general the MARC) is in fact an ontology, this contribution proposes to make it explicit and to convert it – only at a syntactic level – in Linked Data / RDF structures through the use of the Wikibase ...
Bacchi, Cristian, Bergamin, Giovanni
core +2 more sources
GCN-based stock relations analysis for stock market prediction. [PDF]
PeerJ Comput Sci, 2022 Zhao C, Liu X, Zhou J, Cen Y, Yao X.
europepmc +1 more source
Using shape expressions (ShEx) to share rdf data models and to guide curation with rigorous validation [PDF]
International Conference, European Semantic Web Conference, ESWC (16th. 2019.
Labra Gayo, José Emilio +6 more
core +1 more source