Sfoglia per SSD  CHIM/01 - CHIMICA ANALITICA

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Mostrati risultati da 1 a 20 di 107
Titolo Tipologia Data di pubblicazione Autori File
Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial 03 - Contributo in libro 2023 Valsecchi, CecileConsonni, VivianaBallabio, DavideTodeschini, Roberto +
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
Characterization of pyrite weathering products by Raman hyperspectral imaging and chemometrics techniques 01 - Articolo su rivista 2023 Muñoz, Enmanuel CruzGosetti, FabioBallabio, DavideAndo, SergioGarzanti, Eduardo +
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 +
Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF-SIMS and Self-Organizing maps 01 - Articolo su rivista 2023 Ballabio D. +
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 +
Classification-based Machine Learning Approaches to Predict the Taste of Molecules: A Review 01 - Articolo su rivista 2023 Ballabio, DavideConsonni, VivianaTodeschini, Roberto +
Chemometrics approaches for the automatic analysis of metabolomics GC-MS data 07 - Tesi di dottorato Bicocca post 2009 2022 BACCOLO, GIACOMO
Advancing the prediction of Nuclear Receptor modulators through machine learning methods 07 - Tesi di dottorato Bicocca post 2009 2022 VALSECCHI, CECILE
NMR-based Ligand–Receptor Interaction Studies under Conventional and Unconventional Conditions 03 - Contributo in libro 2022 Ciaramelli, CPalmioli, AAiroldi, C
ChemTastesDB: A curated database of molecular tastants 01 - Articolo su rivista 2022 Ballabio, Davide +
NMR-driven identification of cinnamon bud and bark components with anti-Aβ activity 01 - Articolo su rivista 2022 Carlotta CiaramelliAlessandro PalmioliIrene AngottiGessica SalaCristina Airoldi +
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
Response Surface Methodology Approach to Evaluate the Effect of Transition Metals and Oxygen on Photo-Degradation of Methionine in a Model Wine System Containing Riboflavin 01 - Articolo su rivista 2022 Ballabio, Davide +
Improving bitter pit prediction by the use of X-ray fluorescence (XRF): A new approach by multivariate classification 01 - Articolo su rivista 2022 Gosetti, 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. +
Expanding Antineoplastic Drugs Surface Monitoring Profiles: Enhancing of Zwitterionic Hydrophilic Interaction Methods 01 - Articolo su rivista 2022 Valsecchi, CecileConsonni, VivianaGosetti, FabioBallabio, Davide +
Evaluation of the predictivity of Acute Oral Toxicity (AOT) structure-activity relationship models 01 - Articolo su rivista 2022 Ballabio, Davide +
Derivatization Strategies in Flavor Analysis: An Overview over the Wine and Beer Scenario 01 - Articolo su rivista 2022 Veronica Termopoli +
Mostrati risultati da 1 a 20 di 107
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