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Davide Boldini

Showing results (1-10 of 7) with videos related to

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Journal of Chemical Information and Modeling|October 23, 2024
Machine Learning-Driven Data Valuation for Optimizing High-Throughput Screening PipelinesJoshua Hesse, Davide Boldini, Stephan A Sieber
Journal of Chemical Information and Modeling|June 5, 2024
Synergizing Chemical Structures and Bioassay Descriptions for Enhanced Molecular Property Prediction in Drug DiscoveryMaximilian G Schuh, Davide Boldini, Stephan A Sieber
Journal of Cheminformatics|November 11, 2022
Tuning gradient boosting for imbalanced bioassay modelling with custom loss functionsDavide Boldini, Lukas Friedrich, Daniel Kuhn, et al.
ACS Central Science|April 29, 2024
Machine Learning Assisted Hit Prioritization for High Throughput Screening in Drug DiscoveryDavide Boldini, Lukas Friedrich, Daniel Kuhn, et al.
Journal of Cheminformatics|February 5, 2025
Barlow Twins deep neural network for advanced 1D drug-target interaction predictionMaximilian G Schuh, Davide Boldini, Annkathrin I Bohne, et al.
Journal of Cheminformatics|August 28, 2023
Practical guidelines for the use of gradient boosting for molecular property predictionDavide Boldini, Francesca Grisoni, Daniel Kuhn, et al.
Journal of Cheminformatics|March 26, 2024
Effectiveness of molecular fingerprints for exploring the chemical space of natural productsDavide Boldini, Davide Ballabio, Viviana Consonni, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Journal of Chemical Information and Modeling|October 23, 2024
Machine Learning-Driven Data Valuation for Optimizing High-Throughput Screening PipelinesJoshua Hesse, Davide Boldini, Stephan A Sieber
Journal of Chemical Information and Modeling|June 5, 2024
Synergizing Chemical Structures and Bioassay Descriptions for Enhanced Molecular Property Prediction in Drug DiscoveryMaximilian G Schuh, Davide Boldini, Stephan A Sieber
Journal of Cheminformatics|November 11, 2022
Tuning gradient boosting for imbalanced bioassay modelling with custom loss functionsDavide Boldini, Lukas Friedrich, Daniel Kuhn, et al.
ACS Central Science|April 29, 2024
Machine Learning Assisted Hit Prioritization for High Throughput Screening in Drug DiscoveryDavide Boldini, Lukas Friedrich, Daniel Kuhn, et al.
Journal of Cheminformatics|February 5, 2025
Barlow Twins deep neural network for advanced 1D drug-target interaction predictionMaximilian G Schuh, Davide Boldini, Annkathrin I Bohne, et al.
Journal of Cheminformatics|August 28, 2023
Practical guidelines for the use of gradient boosting for molecular property predictionDavide Boldini, Francesca Grisoni, Daniel Kuhn, et al.
Journal of Cheminformatics|March 26, 2024
Effectiveness of molecular fingerprints for exploring the chemical space of natural productsDavide Boldini, Davide Ballabio, Viviana Consonni, et al.
Pageof 1