18 citations · 47 across the 16 of their papers we have counts for
5 papers · 1 filter
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation
Jingrui Hou, Georgina Cosma, Axel Finke
Continual learning refers to the capability of a machine learning model to learn and adapt to new information, without compromising its performance on previously learned tasks. Alt…
Neural-based Cross-modal Search and Retrieval of Artwork
Yan Gong, Georgina Cosma, Axel Finke
Creating an intelligent search and retrieval system for artwork images, particularly paintings, is crucial for documenting cultural heritage, fostering wider public engagement, and…
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis
Eufrásio de A. Lima Neto, Jonathan Bailiss, Axel Finke +2
Local authorities in England, such as Leicestershire County Council (LCC), provide Early Help services that can be offered at any point in a young person's life when they experienc…
Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models
Jiajun Zhang, Georgina Cosma, Sarah Bugby +2
As the use of artificial intelligent (AI) models becomes more prevalent in industries such as engineering and manufacturing, it is essential that these models provide transparent r…
VITR: Augmenting Vision Transformers with Relation-Focused Learning for Cross-Modal Information Retrieval
Yan Gong, Georgina Cosma, Axel Finke
The relations expressed in user queries are vital for cross-modal information retrieval. Relation-focused cross-modal retrieval aims to retrieve information that corresponds to the…