CONSONNI, VIVIANA

CONSONNI, VIVIANA  

DIPARTIMENTO DI SCIENZE DELL'AMBIENTE E DELLA TERRA (DEPARTMENT OF EARTH AND ENVIRONMENTAL SCIENCES - DISAT)  

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Risultati 1 - 20 di 153 (tempo di esecuzione: 0.128 secondi).
Titolo Tipologia Data di pubblicazione Autori File
Effectiveness of molecular fingerprints for exploring the chemical space of natural products 01 - Articolo su rivista 2024 Ballabio, D.Consonni, V.Todeschini, R +
Extended multivariate comparison of 68 cluster validity indices. A review 01 - Articolo su rivista 2024 Todeschini, RobertoBallabio, DavideTermopoli, VeronicaConsonni, Viviana
Kernel-based mapping of reliability in predictions for consensus modelling 01 - Articolo su rivista 2024 Consonni, VivianaTodeschini, RobertoOrlandi, MarcoBallabio, Davide
Authenticity and Chemometrics Basics 03 - Contributo in libro 2023 Consonni, VivianaTodeschini, RobertoGosetti, FabioBallabio, Davide
Chemical space and Molecular Descriptors for QSAR studies 03 - Contributo in libro 2023 Viviana ConsonniDavide BallabioRoberto Todeschini
Classification-based Machine Learning Approaches to Predict the Taste of Molecules: A Review 01 - Articolo su rivista 2023 Ballabio, DavideConsonni, VivianaTodeschini, Roberto +
Condensed Phase Membrane Introduction Mass Spectrometry: A Direct Alternative to Fully Exploit the Mass Spectrometry Potential in Environmental Sample Analysis 01 - Articolo su rivista 2023 Termopoli, VeronicaBallabio, DavideConsonni, VivianaCruz Muñoz, EnmanuelGosetti, Fabio +
From the Streets to the Judicial Evidence: Determination of Traditional Illicit Substances in Drug Seizures by a Rapid and Sensitive UHPLC-MS/MS-Based Platform 01 - Articolo su rivista 2023 Gosetti, FabioConsonni, VivianaBallabio, DavideOrlandi, Marco EmilioTermopoli, Veronica +
Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial 03 - Contributo in libro 2023 Valsecchi, CecileConsonni, VivianaBallabio, DavideTodeschini, Roberto +
Expanding Antineoplastic Drugs Surface Monitoring Profiles: Enhancing of Zwitterionic Hydrophilic Interaction Methods 01 - Articolo su rivista 2022 Valsecchi, CecileConsonni, VivianaGosetti, FabioBallabio, Davide +
Identification of Photodegradation Products of Escitalopram in Surface Water by HPLC-MS/MS and Preliminary Characterization of Their Potential Impact on the Environment 01 - Articolo su rivista 2022 Termopoli, VeronicaConsonni, VivianaBallabio, DavideTodeschini, RobertoOrlandi, MarcoGosetti, Fabio
Multi-Task Neural Networks and Molecular Fingerprints to Enhance Compound Identification from LC-MS/MS Data 01 - Articolo su rivista 2022 Consonni, VivianaGosetti, FabioTermopoli, VeronicaTodeschini, RobertoValsecchi, CecileBallabio, Davide
Predicting molecular activity on nuclear receptors by multitask neural networks 01 - Articolo su rivista 2022 Valsecchi C.Collarile M.Todeschini R.Ballabio D.Consonni V. +
A MATLAB toolbox for multivariate regression coupled with variable selection 01 - Articolo su rivista 2021 Consonni, VivianaBaccolo, GiacomoGosetti, FabioTodeschini, RobertoBallabio, Davide
Application of DNA mini-barcoding and infrared spectroscopy for the authentication of the Italian product "Bottarga" 01 - Articolo su rivista 2021 Jessica FrigerioChiara MagoniFrancesco SaliuDavide BallabioViviana ConsonniFabrizio De MattiaPaolo GalliMassimo Labra +
CATMoS: Collaborative Acute Toxicity Modeling Suite 01 - Articolo su rivista 2021 Ballabio, DavideConsonni, VivianaGrisoni, FrancescaTodeschini, Roberto +
Enhanced LC-MS/MS spectra matching through multitask neural networks and molecular fingerprints 02 - Intervento a convegno 2021 Valsecchi, CBaccolo, GGosetti, FConsonni, VBallabio, DTodeschini, R +
Nuclear receptor modulators: Catching information by machine learning 02 - Intervento a convegno 2021 Valsecchi, CecileConsonni, VivianaBallabio, DavideTodeschini, Roberto +
Parsimonious optimization of multitask neural network hyperparameters 01 - Articolo su rivista 2021 Valsecchi, CecileConsonni, VivianaTodeschini, RobertoOrlandi, Marco EmilioGosetti, FabioBallabio, Davide
Predicting molecular activity on nuclear receptors with deep and machine learning 02 - Intervento a convegno 2021 Valsecchi,CGrisoni,FConsonni, VBallabio, DTodeschini, R