Michel A. Cuendet

Orcid: 0000-0002-0754-3425

According to our database1, Michel A. Cuendet authored at least 12 papers between 2002 and 2023.

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Bibliography

2023
Runtime Steering of Molecular Dynamics Simulations Through In Situ Analysis and Annotation of Collective Variables.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2023

Online Boosted Gaussian Learners for In-Situ Detection and Characterization of Protein Folding States in Molecular Dynamics Simulations.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

2021
A Graphic Encoding Method for Quantitative Classification of Protein Structure and Representation of Conformational Changes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A lightweight method for evaluating <i>in situ</i> workflow efficiency.
J. Comput. Sci., 2021

2020
SPHN/PHRT - MedCo in Action: Empowering the Swiss Molecular Tumor Board with Privacy-Preserving and Real-Time Patient Discovery.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

A Process Mining Approach to Statistical Analysis: Application to a Real-World Advanced Melanoma Dataset.
Proceedings of the Process Mining Workshops, 2020

A Novel Metric to Evaluate In Situ Workflows.
Proceedings of the Computational Science - ICCS 2020, 2020

2019
Characterizing In Situ and In Transit Analytics of Molecular Dynamics Simulations for Next-Generation Supercomputers.
Proceedings of the 15th International Conference on eScience, 2019

Clinical Guidelines: A Crossroad of Many Research Areas. Challenges and Opportunities in Process Mining for Healthcare.
Proceedings of the Business Process Management Workshops, 2019

2018
Graphic Encoding of Macromolecules for Efficient High-Throughput Analysis.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2011
SwissParam: A fast force field generation tool for small organic molecules.
J. Comput. Chem., 2011

2002
Consistent AdaBoost for Boosting Stumps.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002


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