5 papers
BTI-Net: Bidirectional Decoder-Level Task Interaction via Uncertainty-Aware Gating for Multi-Task Medical Image Analysis
Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed +2
Jointly learning to segment and classify medical images demands cross-task synergy, yet encoder-sharing architectures limit decoder reconstruction to task-private representations,…
DASH: Dual-Branch Score Distillation for Guidance-Calibrated Compact Diffusion Models
Abdullah Al Shafi, Kazi Saeed Alam, Sk Imran Hossain +1
Parameter compression of class-conditional diffusion models reveals an underexplored limitation in output-level distillation: the unconditional score branch remains unsupervised, l…
Explainable classification of astronomical uncertain time series
Michael Franklin Mbouopda, Emille E. O. Ishida, Engelbert Mephu Nguifo +1
Exploring the expansion history of the universe, understanding its evolutionary stages, and predicting its future evolution are important goals in astrophysics. Today, machine lear…
Multi-Level Bidirectional Decoder Interaction for Uncertainty-Aware Breast Ultrasound Analysis
Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed +2
Breast ultrasound interpretation requires simultaneous lesion segmentation and tissue classification. However, conventional multi-task learning approaches suffer from task interfer…
A K-Means, Ward and DBSCAN repeatability study
Anthony Bertrand, Engelbert Mephu Nguifo, Violaine Antoine +1
Reproducibility is essential in machine learning because it ensures that a model or experiment yields the same scientific conclusion. For specific algorithms repeatability with bit…