Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review. - Seyedmostafa Sheikhalishahi; Riccardo Miotto; Joel T. Dudley; Alberto Lavelli; Fabio Rinaldi 001; Venet Osmani (CoRR, 2019)

Benchmarking machine learning models on eICU critical care dataset. - Seyedmostafa Sheikhalishahi; Vevake Balaraman; Venet Osmani (CoRR, 2019)

Recent Neural Methods on Dialogue State Tracking for Task-Oriented Dialogue Systems: A Survey. - Vevake Balaraman; Seyedmostafa Sheikhalishahi; Bernardo Magnini (SIGDIAL, 2021)

An interpretable deep learning model for time-series electronic health records: Case study of delirium prediction in critical care. - Seyedmostafa Sheikhalishahi; Anirban Bhattacharyya; Leo Anthony Celi; Venet Osmani (Artif. Intell. Medicine, 2023)

Simplifying Multiparty Computation: A Client-Driven Metaprotocol for Federated Secure Computing. - Johanna Schwinn; Hendrik Ballhausen; Seyedmostafa Sheikhalishahi; Matthaeus Morhart; Mathias Kaspar; Ludwig Christian G. Hinske (GMDS, 2024)

A Comparative Analysis of Federated and Centralized Learning for SpO2 Prediction in Five Critical Care Databases. - Johanna Schwinn; Seyedmostafa Sheikhalishahi; Matthaeus Morhart; Mathias Kaspar; Ludwig Christian G. Hinske (MIE, 2024)

Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection. - Seyedmostafa Sheikhalishahi; Sebastian Goss; Lea Katharina Seidlmayer; Sarra Zaghdoudi; Ludwig Christian G. Hinske; Mathias Kaspar (BMC Medical Informatics Decis. Mak., 2024)