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Consonni, Viviana
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1

Extended multivariate comparison of 68 cluster validity ind..:

Todeschini, Roberto ; Ballabio, Davide ; Termopoli, Veronica.
Chemometrics and Intelligent Laboratory Systems.  251 (2024)  - p. 105117 , 2024
Link: https://doi.org/10.1016/..
 
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2

Effectiveness of molecular fingerprints for exploring the c..:

Boldini, Davide ; Ballabio, Davide ; Consonni, Viviana...
Journal of Cheminformatics.  16 (2024)  1 - p. , 2024
Link: https://doi.org/10.1186/..
 
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3

Kernel-based mapping of reliability in predictions for cons..:

Consonni, Viviana ; Todeschini, Roberto ; Orlandi, Marco.
Chemometrics and Intelligent Laboratory Systems.  246 (2024)  - p. 105085 , 2024
Link: https://doi.org/10.1016/..
 
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4

Chemical space and molecular descriptors for QSAR studies:

, In: Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development,
Consonni, Viviana ; Ballabio, Davide ; Todeschini, Roberto - p. 303-327 , 2023
Link: https://doi.org/10.1016/..
 
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5

Condensed Phase Membrane Introduction Mass Spectrometry: A ..:

Termopoli, Veronica ; Piergiovanni, Maurizio ; Ballabio, Davide...
Separations.  10 (2023)  2 - p. 139 , 2023
Link: https://doi.org/10.3390/..
 
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6

Classification-based machine learning approaches to predict..:

Rojas, Cristian ; Ballabio, Davide ; Consonni, Viviana..
Food Research International.  171 (2023)  - p. 113036 , 2023
Link: https://doi.org/10.1016/..
 
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7

Contributors:

, In: Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development,
Altomare, Cosimo Damiano ; Amoroso, Nicola ; Andola, Priyanka... - p. xiii-xvii , 2023
Link: https://doi.org/10.1016/..
 
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8

Multitask Learning for Quantitative Structure–Activity Rela..:

, In: Machine Learning and Deep Learning in Computational Toxicology; Computational Methods in Engineering & the Sciences,
Valsecchi, Cecile ; Grisoni, Francesca ; Consonni, Viviana.. - p. 199-220 , 2023
Link: https://doi.org/10.1007/..
 
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9

From the Streets to the Judicial Evidence: Determination of..:

Gosetti, Fabio ; Consonni, Viviana ; Ballabio, Davide...
Molecules.  28 (2022)  1 - p. 164 , 2022
Link: https://doi.org/10.3390/..
 
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10

Identification of Photodegradation Products of Escitalopram..:

Termopoli, Veronica ; Consonni, Viviana ; Ballabio, Davide...
Separations.  9 (2022)  10 - p. 289 , 2022
Link: https://doi.org/10.3390/..
 
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11

Expanding Antineoplastic Drugs Surface Monitoring Profiles:..:

Dugheri, Stefano ; Mucci, Nicola ; Squillaci, Donato...
Separations.  9 (2022)  2 - p. 34 , 2022
Link: https://doi.org/10.3390/..
 
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12

Multi-Task Neural Networks and Molecular Fingerprints to En..:

Consonni, Viviana ; Gosetti, Fabio ; Termopoli, Veronica...
Molecules.  27 (2022)  18 - p. 5827 , 2022
Link: https://doi.org/10.3390/..
 
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13

A MATLAB toolbox for multivariate regression coupled with v..:

Consonni, Viviana ; Baccolo, Giacomo ; Gosetti, Fabio..
Chemometrics and Intelligent Laboratory Systems.  213 (2021)  - p. 104313 , 2021
Link: https://doi.org/10.1016/..
 
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14

Nuclear receptor modulators: Catching information by machin..:

Valsecchi, Cecile ; Grisoni, Francesca ; Consonni, Viviana..
Biomedical Science and Engineering.  4 (2021)  s1 - p. , 2021
Link: https://doi.org/10.4081/..
 
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15

Parsimonious Optimization of Multitask Neural Network Hyper..:

Valsecchi, Cecile ; Consonni, Viviana ; Todeschini, Roberto...
Molecules.  26 (2021)  23 - p. 7254 , 2021
Link: https://doi.org/10.3390/..
 
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