3 papers
cs.CV2025
Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval
Kshitij Kavimandan, Angelos Nalmpantis, Emma Beauxis-Aussalet +1
Patent images are technical drawings that convey information about a patent's innovation. Patent image retrieval systems aim to search in vast collections and retrieve the most rel…
cs.AI2022
Access to care: analysis of the geographical distribution of healthcare using Linked Open Data
Selene Baez Santamaria, Emmanouil Manousogiannis, Guusje Boomgaard +3
Background: Access to medical care is strongly dependent on resource allocation, such as the geographical distribution of medical facilities. Nevertheless, this data is usually res…
cs.HC2018
Empirical Methodology for Crowdsourcing Ground Truth
Anca Dumitrache, Oana Inel, Benjamin Timmermans +4
The process of gathering ground truth data through human annotation is a major bottleneck in the use of information extraction methods for populating the Semantic Web. Crowdsourcin…