Sfoglia per Autore  

Opzioni
Mostrati risultati da 1 a 20 di 234
Titolo Tipologia Data di pubblicazione Autori File
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
Classification-based Machine Learning Approaches to Predict the Taste of Molecules: A Review 01 - Articolo su rivista 2023 Ballabio, DavideConsonni, VivianaTodeschini, Roberto +
Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial 03 - Contributo in libro 2023 Valsecchi, CecileConsonni, VivianaBallabio, DavideTodeschini, Roberto +
Chemical space and Molecular Descriptors for QSAR studies 03 - Contributo in libro 2023 Viviana ConsonniDavide BallabioRoberto Todeschini
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 by multitask neural networks 01 - Articolo su rivista 2022 Valsecchi C.Collarile M.Todeschini R.Ballabio D.Consonni V. +
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
Evaluation of classification performances of minimum spanning trees by 13 different metrics 01 - Articolo su rivista 2022 Todeschini, RobertoValsecchi, Cecile
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
Predicting molecular activity on nuclear receptors with deep and machine learning 02 - Intervento a convegno 2021 Valsecchi,CGrisoni,FConsonni, VBallabio, DTodeschini, 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 +
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
CATMoS: Collaborative Acute Toxicity Modeling Suite 01 - Articolo su rivista 2021 Ballabio, DavideConsonni, VivianaGrisoni, FrancescaTodeschini, Roberto +
Distances and Similarity Measures in Chemometrics and Chemoinformatics 03 - Contributo in libro 2020 Todeschini, RBallabio, DConsonni, V
Similarity/Diversity Indices on Incidence Matrices Containing Missing Values 01 - Articolo su rivista 2020 Valsecchi, CTodeschini, R
4.25 - Chemometrics for QSAR Modeling 03 - Contributo in libro 2020 Todeschini, RobertoConsonni, VivianaBallabio, Davide +
CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity 01 - Articolo su rivista 2020 Ballabio, DavideConsonni, VivianaGrisoni, FrancescaTodeschini, Roberto +
Mostrati risultati da 1 a 20 di 234
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile