3 papers
cs.CL2025
ImmunoFOMO: Are Language Models missing what oncologists see?
Aman Sinha, Bogdan-Valentin Popescu, Xavier Coubez +2
Language models (LMs) capabilities have grown with a fast pace over the past decade leading researchers in various disciplines, such as biomedical research, to increasingly explore…
cs.CL2024
Domain-specific or Uncertainty-aware models: Does it really make a difference for biomedical text classification?
Aman Sinha, Timothee Mickus, Marianne Clausel +2
The success of pretrained language models (PLMs) across a spate of use-cases has led to significant investment from the NLP community towards building domain-specific foundational…
cs.AI2023
No Imputation Needed: A Switch Approach to Irregularly Sampled Time Series
Rohit Agarwal, Aman Sinha, Ayan Vishwakarma +5
Modeling irregularly-sampled time series (ISTS) is challenging because of missing values. Most existing methods focus on handling ISTS by converting irregularly sampled data into r…