4 papers
Is Self-Pretraining really useful to improve diagnosis in medical Time Series?
Omar Coser, Antonio Orvieto, Paolo Soda +1
Inspired by recent evidence that transformer architectures benefit from Self-PreTraining (SPT) on long-context benchmarks, we investigate whether similar gains extend to multimodal…
Towards Understanding Self-Pretraining for Sequence Classification
Omar Coser, Loredana Zollo, Paolo Soda +1
Amos et al. (2024) showed that the accuracy of Transformer models in sequence classification can be significantly improved by first pretraining with a masked token prediction objec…
ELISA: An Interpretable Hybrid Generative AI Agent for Expression-Grounded Discovery in Single-Cell Genomics
Omar Coser
Translating single-cell RNA sequencing (scRNA-seq) data into mechanistic biological hypotheses remains a critical bottleneck, as agentic AI systems lack direct access to transcript…
Deep Learning for Human Locomotion Analysis in Lower-Limb Exoskeletons: A Comparative Study
Omar Coser, Christian Tamantini, Matteo Tortora +4
Wearable robotics for lower-limb assistance have become a pivotal area of research, aiming to enhance mobility for individuals with physical impairments or augment the performance…