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Federico Mione

INGAR-CONICET-Avellaneda

Avellaneda 3657

Santa Fe, AR 3000

Argentina

SCHOLARLY PAPERS

4

DOWNLOADS

255

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

A Property Graph Integration Schema for Fairness and Reproducibility in High-Throughput Bioprocess Development

Number of pages: 44 Posted: 22 Nov 2024 Last Revised: 03 Jan 2025
Federico Mione, Martín Luna, Lucas Kaspersetz, Ernesto Carlos Martinez and Nicolas Cruz Bournazou
INGAR-CONICET-Avellaneda, INGAR-CONICET-Avellaneda, affiliation not provided to SSRN, affiliation not provided to SSRN and Technische Universitaet Berlin
Downloads 79 (823,616)

Abstract:

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Bioprocess development, Computational workflow, Data schema, Experimental reproducibility, FAIR data, Property graphs

2.

Automated regression of bioreactor models using a Bayesian approach for the operation of robotic platforms

Number of pages: 37 Posted: 08 Jan 2025
Martín Luna, Federico Mione, Lucas Kaspersetz, Peter Neubauer, Ernesto Carlos Martinez and Nicolas Cruz Bournazou
INGAR-CONICET-Avellaneda, INGAR-CONICET-Avellaneda, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Technische Universitaet Berlin
Downloads 71 (867,774)

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Variational Bayesian Inference, Bioprocess modelling, Robotic platform, Laboratory Automation

3.

A Workflow Management System for Reproducible and Interoperable High-Throughput Self-Driving Experiments

Number of pages: 38 Posted: 08 Feb 2024
Federico Mione, Lucas Kaspersetz, Martín Luna, Judit Aizpuru, Randolf Scholz, Maxim Borisyak, Annina Kemmer, Marie Therese Schermeyer, Ernesto Carlos Martinez, Peter Neubauer and Nicolas Cruz Bournazou
INGAR-CONICET-Avellaneda, affiliation not provided to SSRN, INGAR-CONICET-Avellaneda, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Technische Universitaet Berlin
Downloads 60 (970,490)

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FAIR data, high-throughput bioprocess development, reproducibility crisis, self-driving experimentation, workflow automation

4.

Online Redesign of Dynamic Experiments for High-Throughput Bioprocess Development Using Deep Reinforcement Learning

Number of pages: 36 Posted: 08 Jul 2025
Martín Luna, Federico Mione, Ernesto Carlos Martinez and Nicolas Cruz Bournazou
INGAR-CONICET-Avellaneda, INGAR-CONICET-Avellaneda, affiliation not provided to SSRN and Technische Universitaet Berlin
Downloads 45 (1,157,785)

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High-Throughput cultivation, Deep learning, dynamic experiment, online redesign, Reinforcement learning