Sfoglia per Autore
Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial
2023 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D; Todeschini, R
Comparison of machine learning approaches for the classification of elution profiles
2023 Baccolo, G; Yu, H; Valsecchi, C; Ballabio, D; Bro, R
Advancing the prediction of Nuclear Receptor modulators through machine learning methods
2022 Valsecchi, C
Evaluation of classification performances of minimum spanning trees by 13 different metrics
2022 Todeschini, R; Valsecchi, C
Predicting molecular activity on nuclear receptors by multitask neural networks
2022 Valsecchi, C; Collarile, M; Grisoni, F; Todeschini, R; Ballabio, D; Consonni, V
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
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
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
Classification of coralline algae using deep learning techniques on SEM images
2021 Piazza, G; Valsecchi, C; Sottocornola, G; Basso, D
Deep Learning Applied to SEM Images for Supporting Marine Coralline Algae Classification
2021 Piazza, G; Valsecchi, C; Sottocornola, G
Parsimonious optimization of multitask neural network hyperparameters
2021 Valsecchi, C; Consonni, V; Todeschini, R; Orlandi, M; Gosetti, F; Ballabio, D
Predicting molecular activity on nuclear receptors with deep and machine learning
2021 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D; Todeschini, R
Nuclear receptor modulators: Catching information by machine learning
2021 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D; Todeschini, R
Deep ranking analysis by power eigenvectors (DRAPE): A study on the human, environmental and economic wellbeing of 154 countries
2021 Valsecchi, C; Todeschini, R
Similarity/Diversity Indices on Incidence Matrices Containing Missing Values
2020 Valsecchi, C; Todeschini, R
Deep Ranking Analysis by Power Eigenvectors (DRAPE): A polypharmacology case study
2020 Valsecchi, C; Ballabio, D; Consonni, V; Todeschini, R
Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study
2020 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D
NURA: A curated dataset of nuclear receptor modulators
2020 Valsecchi, C; Grisoni, F; Motta, S; Bonati, L; Ballabio, D
Similarity/diversity indices on incidence matrices containing missing values
2019 Valsecchi, C; Todeschini, R
Consensus Prediction of Androgen Receptor Activity within the CoMPARA Project
2019 Ballabio, D; Valsecchi, C; Grisoni, F; Consonni, V; Mansouri, K; Todeschini, R
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