Sfoglia per Autore
Smoothed Power-Weakness Ratio (sPWR): a new informative system for multi-criteria decision making
2026 Consonni, V; Ballabio, D; Cruz Muñoz, E; Termopoli, V; Todeschini, R
Photochemical degradation of the aromatic amine 4-(N,N-dimethylamino)benzonitrile: Triplet sensitisation, back reduction, and (quasi-)global modelling
2026 Muñoz, E; Ballabio, D; Consonni, V; Todeschini, R; Carena, L; Sciscenko, I; Canonica, S; Minella, M; Vione, D
Application of QSRR models for predicting the retention times of plant food bioactive compounds
2025 Sepehri, B; Consonni, V; Ballabio, D; Muñoz, E; Abbasi, E; Todeschini, R
Extended multivariate comparison of 68 cluster validity indices. A review
2024 Todeschini, R; Ballabio, D; Termopoli, V; Consonni, V
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
Kernel-based mapping of reliability in predictions for consensus modelling
2024 Consonni, V; Todeschini, R; Orlandi, M; Ballabio, D
Authenticity and Chemometrics Basics
2023 Consonni, V; Todeschini, R; Gosetti, F; Ballabio, D
Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial
2023 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D; Todeschini, R
Chemical space and Molecular Descriptors for QSAR studies
2023 Consonni, V; Ballabio, D; Todeschini, R
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
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
Evaluation of classification performances of minimum spanning trees by 13 different metrics
2022 Todeschini, R; Valsecchi, 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
Predicting molecular activity on nuclear receptors by multitask neural networks
2022 Valsecchi, C; Collarile, M; Grisoni, F; Todeschini, R; Ballabio, D; Consonni, V
Predicting molecular activity on nuclear receptors with deep and machine learning
2021 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D; Todeschini, R
Parsimonious optimization of multitask neural network hyperparameters
2021 Valsecchi, C; Consonni, V; Todeschini, R; Orlandi, M; Gosetti, F; Ballabio, D
Nuclear receptor modulators: Catching information by machine learning
2021 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D; Todeschini, R
Enhanced LC-MS/MS spectra matching through multitask neural networks and molecular fingerprints
2021 Valsecchi, C; Baccolo, G; Caserta, M; Barbagallo, M; Gosetti, F; Consonni, V; Ballabio, D; Todeschini, R
A MATLAB toolbox for multivariate regression coupled with variable selection
2021 Consonni, V; Baccolo, G; Gosetti, F; Todeschini, R; Ballabio, D
Deep ranking analysis by power eigenvectors (DRAPE): A study on the human, environmental and economic wellbeing of 154 countries
2021 Valsecchi, C; Todeschini, R
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