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Roberto Todeschini

Showing results (21-30 of 49) with videos related to

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Analytica Chimica Acta|July 9, 2013
Locally centred Mahalanobis distance: a new distance measure with salient features towards outlier detectionRoberto Todeschini, Davide Ballabio, Viviana Consonni, et al.
Journal of Chemical Information and Modeling|March 9, 2013
Quantitative structure-activity relationship models for ready biodegradability of chemicalsKamel Mansouri, Tine Ringsted, Davide Ballabio, et al.
Environment International|January 14, 2016
Investigating the mechanisms of bioconcentration through QSAR classification treesFrancesca Grisoni, Viviana Consonni, Marco Vighi, et al.
Chemosphere|February 24, 2015
QSAR models for bioconcentration: is the increase in the complexity justified by more accurate predictions?Francesca Grisoni, Viviana Consonni, Sara Villa, et al.
Food Research International (Ottawa, Ont.)|June 18, 2023
Classification-based machine learning approaches to predict the taste of molecules: A reviewCristian Rojas, Davide Ballabio, Viviana Consonni, et al.
Molecules (Basel, Switzerland)|April 27, 2012
Comparison of different approaches to define the applicability domain of QSAR modelsFaizan Sahigara, Kamel Mansouri, Davide Ballabio, et al.
Journal of Chemical Information and Modeling|October 20, 2012
Similarity coefficients for binary chemoinformatics data: overview and extended comparison using simulated and real data setsRoberto Todeschini, Viviana Consonni, Hua Xiang, et al.
Molecules (Basel, Switzerland)|September 23, 2022
Multi-Task Neural Networks and Molecular Fingerprints to Enhance Compound Identification from LC-MS/MS DataViviana Consonni, Fabio Gosetti, Veronica Termopoli, et al.
Protein and Peptide Letters|November 16, 2018
Classification-based QSAR Models for the Prediction of the Bioactivity of ACE-inhibitor PeptidesPiercosimo Tripaldi, Andrés Pérez-González, Cristian Rojas, 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 5

Showing results (21-30 of 49) with videos related to

Sort By:
Pageof 5
Analytica Chimica Acta|July 9, 2013
Locally centred Mahalanobis distance: a new distance measure with salient features towards outlier detectionRoberto Todeschini, Davide Ballabio, Viviana Consonni, et al.
Journal of Chemical Information and Modeling|March 9, 2013
Quantitative structure-activity relationship models for ready biodegradability of chemicalsKamel Mansouri, Tine Ringsted, Davide Ballabio, et al.
Environment International|January 14, 2016
Investigating the mechanisms of bioconcentration through QSAR classification treesFrancesca Grisoni, Viviana Consonni, Marco Vighi, et al.
Chemosphere|February 24, 2015
QSAR models for bioconcentration: is the increase in the complexity justified by more accurate predictions?Francesca Grisoni, Viviana Consonni, Sara Villa, et al.
Food Research International (Ottawa, Ont.)|June 18, 2023
Classification-based machine learning approaches to predict the taste of molecules: A reviewCristian Rojas, Davide Ballabio, Viviana Consonni, et al.
Molecules (Basel, Switzerland)|April 27, 2012
Comparison of different approaches to define the applicability domain of QSAR modelsFaizan Sahigara, Kamel Mansouri, Davide Ballabio, et al.
Journal of Chemical Information and Modeling|October 20, 2012
Similarity coefficients for binary chemoinformatics data: overview and extended comparison using simulated and real data setsRoberto Todeschini, Viviana Consonni, Hua Xiang, et al.
Molecules (Basel, Switzerland)|September 23, 2022
Multi-Task Neural Networks and Molecular Fingerprints to Enhance Compound Identification from LC-MS/MS DataViviana Consonni, Fabio Gosetti, Veronica Termopoli, et al.
Protein and Peptide Letters|November 16, 2018
Classification-based QSAR Models for the Prediction of the Bioactivity of ACE-inhibitor PeptidesPiercosimo Tripaldi, Andrés Pérez-González, Cristian Rojas, 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 5