VALSECCHI, CECILE
VALSECCHI, CECILE
DIPARTIMENTO DI SCIENZE DELL'AMBIENTE E DELLA TERRA (DEPARTMENT OF EARTH AND ENVIRONMENTAL SCIENCES - DISAT)
Structural alerts for the identification of bioaccumulative compounds
2018 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D
QSAR models to predict Acute Oral Systemic Toxicity
2018 Chiara, A; Valsecchi, C; Consonni, V; Todeschini, R; Ballabio, D
Activity cliffs and structural cliffs for categorical responses
2018 Todeschini, R; Valsecchi, C
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
Structural alerts for the identification of bioaccumulative compounds
2019 Valsecchi, C; Grisoni, F; Consonni, V; Ballabio, D
QSAR modeling of Daphnia magna and fish toxicities of biocides using 2D descriptors
2019 Khan, K; Khan, P; Lavado, G; Valsecchi, C; Pasqualini, J; Baderna, D; Marzo, M; Lombardo, A; Roy, K; Benfenati, E
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
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
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