Sfoglia per SSD CHIM/01 - CHIMICA ANALITICA
Kernel-based mapping of reliability in predictions for consensus modelling
2024 Consonni, V; Todeschini, R; Orlandi, M; Ballabio, D
Effectiveness of molecular fingerprints for exploring the chemical space of natural products
2024 Boldini, D; Ballabio, D; Consonni, V; Todeschini, R; Grisoni, F; Sieber, S
Comparison of machine learning approaches for the classification of elution profiles
2023 Baccolo, G; Yu, H; Valsecchi, C; Ballabio, D; Bro, R
Authenticity and Chemometrics Basics
2023 Consonni, V; Todeschini, R; Gosetti, F; Ballabio, D
Enhanced Visualization and Interpretation of XMCD-PEEM Data Using SOM-RPM Machine Learning
2023 Wong, S; Harmer, S; Gardner, W; Schenk, A; Ballabio, D; Pigram, P
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
2023 Gosetti, F; Consonni, V; Ballabio, D; Orlandi, M; Amodio, A; Valeria Picci, M; Visentin, M; Termopoli, V
Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF-SIMS and Self-Organizing maps
2023 Wong, S; Hook, A; Gardner, W; Chang, C; Mei, Y; Davies, M; Williams, P; Alexander, M; Ballabio, D; Muir, B; Winkler, D; Pigram, P
Chemical space and Molecular Descriptors for QSAR studies
2023 Consonni, V; Ballabio, D; Todeschini, R
Characterization of pyrite weathering products by Raman hyperspectral imaging and chemometrics techniques
2023 Muñoz, E; Gosetti, F; Ballabio, D; Ando, S; Gómez-Laserna, O; Amigo, J; Garzanti, E
Effect of data preprocessing and machine learning hyperparameters on mass spectrometry imaging models
2023 Gardner, W; Winkler, D; Alexander, D; Ballabio, D; Muir, B; Pigram, P
Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial
2023 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D; Todeschini, R
Condensed Phase Membrane Introduction Mass Spectrometry: A Direct Alternative to Fully Exploit the Mass Spectrometry Potential in Environmental Sample Analysis
2023 Termopoli, V; Piergiovanni, M; Ballabio, D; Consonni, V; Cruz Muñoz, E; Gosetti, F
Classification-based Machine Learning Approaches to Predict the Taste of Molecules: A Review
2023 Rojas, C; Ballabio, D; Consonni, V; Suárez-Estrella, D; Todeschini, R
Chemometrics approaches for the automatic analysis of metabolomics GC-MS data
2022 Baccolo, G
Advancing the prediction of Nuclear Receptor modulators through machine learning methods
2022 Valsecchi, C
NMR-based Ligand–Receptor Interaction Studies under Conventional and Unconventional Conditions
2022 Ciaramelli, C; Palmioli, A; Airoldi, C
Identification of Photodegradation Products of Escitalopram in Surface Water by HPLC-MS/MS and Preliminary Characterization of Their Potential Impact on the Environment
2022 Termopoli, V; Consonni, V; Ballabio, D; Todeschini, R; Orlandi, M; Gosetti, F
Expanding Antineoplastic Drugs Surface Monitoring Profiles: Enhancing of Zwitterionic Hydrophilic Interaction Methods
2022 Dugheri, S; Mucci, N; Squillaci, D; Bucaletti, E; Cappelli, G; Trevisani, L; Valsecchi, C; Consonni, V; Gosetti, F; Ballabio, D; Arcangeli, G
Multi-Task Neural Networks and Molecular Fingerprints to Enhance Compound Identification from LC-MS/MS Data
2022 Consonni, V; Gosetti, F; Termopoli, V; Todeschini, R; Valsecchi, C; Ballabio, D
ChemTastesDB: A curated database of molecular tastants
2022 Rojas, C; Ballabio, D; Pacheco Sarmiento, K; Pacheco Jaramillo, E; Mendoza, M; García, F
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