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Hongliu Cao
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2020 – today
- 2024
- [i10]Hongliu Cao:
Recent advances in text embedding: A Comprehensive Review of Top-Performing Methods on the MTEB Benchmark. CoRR abs/2406.01607 (2024) - 2023
- [c6]Hongliu Cao, Ilias El Baamrani, Eoin Thomas:
Multi-View User Representation Learning for User Matching Without Personal Information. IJCNN 2023: 1-8 - [c5]Hongliu Cao, Minh Nhat Do
, Alexis Ravanel, Eoin Thomas:
Inclusive normalization of face images to passport format. IJCNN 2023: 1-9 - [i9]Hongliu Cao, Ilias El Baamrani, Eoin Thomas:
Multi-view user representation learning for user matching without personal information. CoRR abs/2312.14533 (2023) - [i8]Hongliu Cao, Minh Nhat Do, Alexis Ravanel, Eoin Thomas:
Inclusive normalization of face images to passport format. CoRR abs/2312.14544 (2023) - [i7]Hongliu Cao:
Towards more sustainable enterprise data and application management with cross silo Federated Learning and Analytics. CoRR abs/2312.14628 (2023) - 2021
- [i6]Hongliu Cao, Eoin Thomas:
Destination similarity based on implicit user interest. CoRR abs/2102.06687 (2021) - 2020
- [c4]Hongliu Cao, Simon Bernard
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. ICPR 2020: 1344-1351 - [i5]Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte:
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. CoRR abs/2007.02572 (2020) - [i4]Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte:
Random Forest for Dissimilarity-based Multi-view Learning. CoRR abs/2007.08377 (2020)
2010 – 2019
- 2019
- [b1]Hongliu Cao:
Random forest for dissimilarity based multi-view learning: application to radiomics. (Forêt aléatoire pour l'apprentissage multi-vues basé sur la dissimilarité: Application à la Radiomique). Normandy University, Caen, France, 2019 - [j1]Hongliu Cao
Random forest dissimilarity based multi-view learning for Radiomics application. Pattern Recognit. 88: 185-197 (2019) - 2018
- [c3]Hongliu Cao, Simon Bernard
Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. ICIAR 2018: 779-787 - [c2]Hongliu Cao, Simon Bernard
Dynamic Voting in Multi-view Learning for Radiomics Applications. S+SSPR 2018: 32-41 - [i3]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dissimilarity-based representation for radiomics applications. CoRR abs/1803.04460 (2018) - [i2]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images. CoRR abs/1803.11241 (2018) - [i1]Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin:
Dynamic voting in multi-view learning for radiomics applications. CoRR abs/1806.07686 (2018) - 2015
- [c1]Bart Lamiroy
Re-typograph phase I: a proof-of-concept for typeface parameter extraction from historical documents. DRR 2015: 94020B
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