127 citations · 366 across the 27 of their papers we have counts for
27 papers
Reproducible AI Requires Reproducible Randomness
Anthony Bertrand, Tom Schmitt, Engelbert Mephu Nguifo +1
Pseudorandom number generators (PRNGs) constitute indispensable computational tools across multiple scientific domains, including Monte Carlo simulations, stochastic computing, and…
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 exposes a structural limitation in output-level distillation: supervising only the guided output leaves the two score br…
Adaptive Bidirectional Task Interaction for Joint Segmentation and Classification of Breast Ultrasound
Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed +2
Joint lesion segmentation and tissue classification in breast ultrasound are usually trained with a shared encoder, so the two branches stop exchanging information once their decod…
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…
A comparative study of emotion recognition methods using facial expressions
Rim EL Cheikh, Hélène Tran, Issam Falih +1
Understanding the facial expressions of our interlocutor is important to enrich the communication and to give it a depth that goes beyond the explicitly expressed. In fact, studyin…