3 citations · 7 across the 9 of their papers we have counts for
9 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…
Filtering amplitude dependence of correlation dynamics in complex systems: application to the cryptocurrency market
Marcin Wątorek, Marija Bezbradica, Martin Crane +2
Based on the cryptocurrency market dynamics, this study presents a general methodology for analyzing evolving correlation structures in complex systems using the -dependent detr…
Explainable AI for Infection Prevention and Control: Modeling CPE Acquisition and Patient Outcomes in an Irish Hospital with Transformers
Minh-Khoi Pham, Tai Tan Mai, Martin Crane +9
Carbapenemase-Producing Enterobacteriace poses a critical concern for infection prevention and control in hospitals. However, predictive modeling of previously highlighted CPE-asso…
Community-level Contagion among Diverse Financial Assets
An Pham Ngoc Nguyen, Marija Bezbradica, Martin Crane
As global financial markets become increasingly interconnected, financial contagion has developed into a major influencer of asset price dynamics. Motivated by this context, our st…
Herding Unmasked: Insights into Cryptocurrencies, Stocks and US ETFs
An Pham Ngoc Nguyen, Martin Crane, Thomas Conlon +1
Herding behavior has become a familiar phenomenon to investors, with potential dangers of both undervaluing and overvaluing assets, while also threatening market stability. This st…
High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data
Anwesha Mohanty, Alistair Sutherland, Marija Bezbradica +1
Similar to the majority of deep learning applications, diagnosing skin diseases using computer vision and deep learning often requires a large volume of data. However, obtaining su…
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…