Ari Ercole - RankMe

18 papers A* 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Incentives, Equilibria, and the Limits of Healthcare AI: A Game-Theoretic Perspective. CoRR Ari Ercole
2025	J	`jnl`	Explainable AI: definition and attributes of a good explanation for health AI. AI Ethics 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
2025	J	`jnl`	Generalised Label-free Artefact Cleaning for Real-time Medical Pulsatile Time Series. CoRR Xuhang Chen, Ihsane Olakorede, Stefan Yu Bögli, Wenhao Xu, Erta Beqiri, Xuemeng Li, Chenyu Tang, Zeyu Gao, Shuo Gao, Ari Ercole, Peter Smielewski
2023	J	`jnl`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2023	J	`jnl`	Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data. CoRR Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Åkerlund, Lindsay Wilson, Robert D. Stevens, David K. Menon, Ewout W. Steyerberg, David W. Nelson, Ari Ercole
2023	J	`jnl`	Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. npj Digit. Medicine Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Åkerlund, Lindsay Wilson, Robert D. Stevens, David K. Menon, Ewout W. Steyerberg, David W. Nelson, Ari Ercole
2022	J	`jnl`	The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence. CoRR Shubhayu Bhattacharyay, Ioan Milosevic, Lindsay Wilson, David K. Menon, Robert D. Stevens, Ewout W. Steyerberg, David W. Nelson, Ari Ercole
2021	A*	`conf`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2021	J	`jnl`	How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. 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
2020	J	`jnl`	Adaptive Prediction Timing for Electronic Health Records. CoRR Jacob Deasy, Ari Ercole, Pietro Liò
2020	J	`jnl`	Hide-and-Seek Privacy Challenge. CoRR James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2020	—	`conf`	Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2019	J	`jnl`	Characterising complex healthcare systems using network science: The small world of emergency surgery. CoRR Katharina Kohler, Ari Ercole
2019	J	`jnl`	DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning. CoRR Tom Edinburgh, Peter Smielewski, Marek Czosnyka, Stephen J. Eglen, Ari Ercole
2019	J	`jnl`	Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. CoRR Jacob Deasy, Pietro Liò, Ari Ercole
2019	J	`jnl`	Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning. CoRR Jacob Deasy, Ari Ercole, Pietro Liò
2019	J	`jnl`	Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care. CoRR Anna-Lena Popkes, Hiske Overweg, Ari Ercole, Yingzhen Li, José Miguel Hernández-Lobato, Yordan Zaykov, Cheng Zhang
2018	J	`jnl`	Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database. Int. J. Medical Informatics 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