1 citations · 1 across the 6 of their papers we have counts for
6 papers
Adaptation Interfaces for In-Context Tabular Foundation Models in Time-to-Event Prediction
Minh-Khoi Pham, Luca Cotugno, Dan Cernei +10
Tabular foundation models (TabFMs) achieve strong performance on structured data, particularly for standard classification and regression problems. Yet, extending them to censored…
Tabular Foundation Models for Clinical Survival Analysis via Survival-Aware Adaptation
Minh-Khoi Pham, Luca Cotugno, Alina Sirbu +3
Predicting time-to-event outcomes such as mortality is a fundamental task in clinical decision-making, commonly addressed through survival analysis. While classical statistical and…
Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints
Minh-Khoi Pham, Thang-Long Nguyen Ho, Thao Thi Phuong Dao +8
Clinical prediction from structured electronic health records (EHRs) is challenging due to high dimensionality, heterogeneity, class imbalance, and distribution shift. While tabula…
A ChatGPT-based approach for questions generation in higher education
Sinh Trong Vu, Huong Thu Truong, Oanh Tien Do +2
Large language models have been widely applied in many aspects of real life, bringing significant efficiency to businesses and offering distinctive user experiences. In this paper,…
Exploring the Application of Visual Question Answering (VQA) for Classroom Activity Monitoring
Sinh Trong Vu, Hieu Trung Pham, Dung Manh Nguyen +4
Classroom behavior monitoring is a critical aspect of educational research, with significant implications for student engagement and learning outcomes. Recent advancements in Visua…
Analysis of inter-transaction time fluctuations in the cryptocurrency market
Jarosław Kwapień, Marcin Wątorek, Marija Bezbradica +3
We analyse tick-by-tick data representing major cryptocurrencies traded on some different cryptocurrency trading platforms. We focus on such quantities like the inter-transaction t…