Ari Ercole

According to our database, Ari Ercole authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Explainable AI: definition and attributes of a good explanation for health AI.

Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, Zane B. Perkins, David A. Lagnado, William Marsh, Alexander Gimson, Ali Shafti, Ari Ercole, Amitava Banerjee, Ben Glocker, Burkhard Schafer, Constantine Gatsonis, Crina Grosan, Danielle Sent, David S. Berman, David Glass, Declan P. O'Regan, Dimitrios Letsios, Dylan Morrissey, Erhan Pisirir, Francesco Leofante, Hamit Soyel, Jon Williamson, Keri Grieman, Kudakwashe Dube, Max Marsden, Myura Nagendran, Nigel Tai, Olga Kostopoulou, Owain Jones, Paul Curzon, Rebecca S. Stoner, Sankalp Tandle, Shalmali Joshi, Somayyeh Mossadegh, Stefan Buijsman, Tim Miller, Vince Istvan Madai

AI Ethics, August, 2025

Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series.

Xuhang Chen, Ihsane Olakorede, Stefan Yu Bögli, Wenhao Xu, Erta Beqiri, Xuemeng Li, Chenyu Tang, Zeyu Gao, Shuo Gao, Ari Ercole, Peter Smielewski

CoRR, April, 2025

2023

Mining the contribution of intensive care clinical course to outcome after traumatic brain injury.

Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Åkerlund, Lindsay Wilson, Robert D. Stevens, David K. Menon, Ewout W. Steyerberg, David W. Nelson, Ari Ercole

npj Digit. Medicine, 2023

Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data.

Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Åkerlund, Lindsay Wilson, Robert D. Stevens, David K. Menon, Ewout W. Steyerberg, David W. Nelson, Ari Ercole

CoRR, 2023

2022

The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence.

Shubhayu Bhattacharyay, Ioan Milosevic, Lindsay Wilson, David K. Menon, Robert D. Stevens, Ewout W. Steyerberg, David W. Nelson, Ari Ercole

CoRR, 2022

2021

How artificial intelligence and machine learning can help healthcare systems respond to COVID-19.

Mihaela van der Schaar, Ahmed M. Alaa, R. Andres Floto, Alexander Gimson, Stefan Scholtes, Angela M. Wood, Eoin F. McKinney, Daniel Jarrett, Pietro Lió, Ari Ercole

Mach. Learn., 2021

Clairvoyance: A Pipeline Toolkit for Medical Time Series.

Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

ioanabica/COVID-19-Brazil: Code release.

Pedro Baqui, Ioana Bica, Valerio Marra, Ari Ercole, Mihaela van der Schaar

Dataset, June, 2020

Hide-and-Seek Privacy Challenge.

James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

CoRR, 2020

Adaptive Prediction Timing for Electronic Health Records.

Jacob Deasy, Ari Ercole, Pietro Liò

CoRR, 2020

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification.

James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning.

Jacob Deasy, Ari Ercole, Pietro Liò

CoRR, 2019

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing.

Jacob Deasy, Pietro Liò, Ari Ercole

CoRR, 2019

DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning.

Tom Edinburgh, Peter Smielewski, Marek Czosnyka, Stephen J. Eglen, Ari Ercole

CoRR, 2019

Characterising complex healthcare systems using network science: The small world of emergency surgery.

Katharina Kohler, Ari Ercole

CoRR, 2019

Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care.

Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, José Miguel Hernández-Lobato, Yordan Zaykov, Cheng Zhang

CoRR, 2019

2018

Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database.

Steve K. Harris, Sinan Shi, David Brealey, Niall S. MacCallum, Spiros C. Denaxas, David Pérez-Suárez, Ari Ercole, Peter J. Watkinson, Andrew Jones, Simon Ashworth, Richard Beale, J. Duncan Young, Stephen Brett, Mervyn Singer

Int. J. Medical Informatics, 2018