A framework to enhance generalization of deep metric learning methods using general discriminative feature learning and class adversarial neural networks ' in 2022'

low-rank robust online distance/similarity learning based on the rescaled hinge loss ' in 2022'

Multimodal Fake-News Recognition Using Ensemble of Deep Learners ' in 2022'

Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation ' in 2022'

Large-Scale Local Online Similarity/Distance Learning Framework Based on Passive/Aggressive ' in 2021'

A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation ' in 2021'

Large-Scale Multi-modal Distance Metric Learning with Application to Content-Based Information Retrieval and Image Classification ' in 2020'

Combination of loss functions for robust breast cancer prediction ' in 2020'

Robust metric learning based on the rescaled hinge loss ' in 2020'

Sparse Bayesian approach for metric learning in latent space ' in 2019'

Sparse Bayesian similarity learning based on posterior distribution of data ' in 2018'