Alban Bornet
Orcid: 0000-0002-7266-627X
According to our database1,
Alban Bornet
authored at least 13 papers
between 2019 and 2025.
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Bibliography
2025
ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification into Patient Cohorts.
CoRR, June, 2025
A scoping review of artificial intelligence applications in clinical trial risk assessment.
npj Digit. Medicine, 2025
Analysis of eligibility criteria clusters based on large language models for clinical trial design.
J. Am. Medical Informatics Assoc., 2025
Comparing neural language models for medical concept representation and patient trajectory prediction.
Artif. Intell. Medicine, 2025
ICU-TSB: A Benchmark for Temporal Patient Representation Learning for Unsupervised Stratification Into Patient Cohorts.
Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025
STM-GNN: Space-Time-and-Memory Graph Neural Networks for Predicting Multi-Drug Resistance Risks in Dynamic Patient Networks.
Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025
2024
CT-ADE: An Evaluation Benchmark for Adverse Drug Event Prediction from Clinical Trial Results.
CoRR, 2024
2023
Transformer Performance for Chemical Reactions: Analysis of Different Predictive and Evaluation Scenarios.
J. Chem. Inf. Model., April, 2023
ProcNet: Deep Predictive Coding Model for Robust-to-occlusion Visual Segmentation and Pose Estimation.
CoRR, 2023
Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
2021
PLoS Comput. Biol., 2021
2019
PLoS Comput. Biol., 2019
Running Large-Scale Simulations on the Neurorobotics Platform to Understand Vision - The Case of Visual Crowding.
Frontiers Neurorobotics, 2019