research
∙
08/16/2023
Advancing continual lifelong learning in neural information retrieval: definition, dataset, framework, and empirical evaluation
Continual learning refers to the capability of a machine learning model ...
share
research
∙
07/26/2023
Neural-based Cross-modal Search and Retrieval of Artwork
Creating an intelligent search and retrieval system for artwork images, ...
research
∙
07/26/2023
Boon: A Neural Search Engine for Cross-Modal Information Retrieval
Visual-Semantic Embedding (VSE) networks can help search engines better ...
research
∙
07/25/2023
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models
Artificial intelligence (AI) reasoning and explainable AI (XAI) tasks ha...
research
∙
07/21/2023
Morphological Image Analysis and Feature Extraction for Reasoning with AI-based Defect Detection and Classification Models
As the use of artificial intelligent (AI) models becomes more prevalent ...
research
∙
07/13/2023
Identifying Early Help Referrals For Local Authorities With Machine Learning And Bias Analysis
Local authorities in England, such as Leicestershire County Council (LCC...
research
∙
04/20/2023
A Meta-heuristic Approach to Estimate and Explain Classifier Uncertainty
Trust is a crucial factor affecting the adoption of machine learning (ML...
research
∙
02/13/2023
CLIP-RR: Improved CLIP Network for Relation-Focused Cross-Modal Information Retrieval
Relation-focused cross-modal information retrieval focuses on retrieving...
research
∙
10/10/2022
Semantically Enhanced Hard Negatives for Cross-modal Information Retrieval
Visual Semantic Embedding (VSE) aims to extract the semantics of images ...
research
∙
10/04/2022
Multifaceted Hierarchical Report Identification for Non-Functional Bugs in Deep Learning Frameworks
Non-functional bugs (e.g., performance- or accuracy-related bugs) in Dee...
research
∙
09/18/2019