TODESCHINI, ROBERTO

TODESCHINI, ROBERTO  

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

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Risultati 1 - 20 di 229 (tempo di esecuzione: 0.021 secondi).
Titolo Tipologia Data di pubblicazione Autori File
Authenticity and Chemometrics Basics 03 - Contributo in libro 2023 Consonni, VivianaTodeschini, RobertoGosetti, FabioBallabio, 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. +
Evaluation of classification performances of minimum spanning trees by 13 different metrics 01 - Articolo su rivista 2022 Todeschini, RobertoValsecchi, Cecile
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
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
Predicting molecular activity on nuclear receptors with deep and machine learning 02 - Intervento a convegno 2021 Valsecchi,CGrisoni,FConsonni, VBallabio, DTodeschini, R
Nuclear receptor modulators: Catching information by machine learning 02 - Intervento a convegno 2021 Valsecchi, CecileConsonni, VivianaBallabio, DavideTodeschini, Roberto +
Deep Ranking Analysis by Power Eigenvectors (DRAPE): A Study on the Human, Environmental and Economic Wellbeing of 154 Countries 03 - Contributo in libro 2021 Valsecchi, CTodeschini, R
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 +
CATMoS: Collaborative Acute Toxicity Modeling Suite 01 - Articolo su rivista 2021 Ballabio, DavideConsonni, VivianaGrisoni, FrancescaTodeschini, Roberto +
A MATLAB toolbox for multivariate regression coupled with variable selection 01 - Articolo su rivista 2021 Consonni, VivianaBaccolo, GiacomoGosetti, FabioTodeschini, RobertoBallabio, Davide
Parsimonious optimization of multitask neural network hyperparameters 01 - Articolo su rivista 2021 Valsecchi, CecileConsonni, VivianaTodeschini, RobertoOrlandi, Marco EmilioGosetti, FabioBallabio, Davide
Chemometrics for QSAR Modeling 03 - Contributo in libro 2020 Todeschini, RobertoConsonni, VivianaBallabio, Davide +
Distances and Similarity Measures in Chemometrics and Chemoinformatics 03 - Contributo in libro 2020 Todeschini, RBallabio, DConsonni, V
CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity 01 - Articolo su rivista 2020 Ballabio, DavideConsonni, VivianaGrisoni, FrancescaTodeschini, Roberto +
Deep Ranking Analysis by Power Eigenvectors (DRAPE): A polypharmacology case study 01 - Articolo su rivista 2020 Valsecchi, CecileBallabio, DavideConsonni, VivianaTodeschini, Roberto
Geographical identification of Chianti red wine based on ICP-MS element composition 01 - Articolo su rivista 2020 Ballabio, DavideTodeschini, RobertoConsonni, VivianaGrisoni, Francesca +
Similarity/Diversity Indices on Incidence Matrices Containing Missing Values 01 - Articolo su rivista 2020 Valsecchi, CTodeschini, R
Similarity/diversity indices on incidence matrices containing missing values 02 - Intervento a convegno 2019 Valsecchi, CTodeschini, R
Deep Ranking Analysis by Kendall Eigenvectors (DRAKE): A Wizard for Ranking and Multi-Criteria Decision Making 02 - Intervento a convegno 2019 Todeschini, RGrisoni, FBallabio, D