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cs.LG2026
A Sparse-Attention Deep Learning Model Integrating Heterogeneous Multimodal Features for Parkinson's Disease Severity Profiling
Dristi Datta, Tanmoy Debnath, Minh Chau +3
Characterising the heterogeneous presentation of Parkinson's disease (PD) requires integrating biological and clinical markers within a unified predictive framework. While multimod…
cs.LG2021
A Framework for Supervised Heterogeneous Transfer Learning using Dynamic Distribution Adaptation and Manifold Regularization
Md Geaur Rahman, Md Zahidul Islam
Transfer learning aims to learn classifiers for a target domain by transferring knowledge from a source domain. However, due to two main issues: feature discrepancy and distributio…
cs.LG2021
Adaptive Decision Forest: An Incremental Machine Learning Framework
Md Geaur Rahman, Md Zahidul Islam
In this study, we present an incremental machine learning framework called Adaptive Decision Forest (ADF), which produces a decision forest to classify new records. Based on our tw…