Follow
Cecile Valsecchi
Cecile Valsecchi
Verified email at campus.unimib.it
Title
Cited by
Cited by
Year
QSAR modeling of Daphnia magna and fish toxicities of biocides using 2D descriptors
K Khan, PM Khan, G Lavado, C Valsecchi, J Pasqualini, D Baderna, ...
Chemosphere 229, 8-17, 2019
852019
Consensus versus individual QSARs in classification: comparison on a large-scale case study
C Valsecchi, F Grisoni, V Consonni, D Ballabio
Journal of chemical information and modeling 60 (3), 1215-1223, 2020
302020
NURA: a curated dataset of nuclear receptor modulators
C Valsecchi, F Grisoni, S Motta, L Bonati, D Ballabio
Toxicology and applied pharmacology 407, 115244, 2020
202020
Structural alerts for the identification of bioaccumulative compounds
C Valsecchi, F Grisoni, V Consonni, D Ballabio
Integrated Environmental Assessment and Management 15 (1), 19-28, 2019
192019
Predicting molecular activity on nuclear receptors by multitask neural networks
C Valsecchi, M Collarile, F Grisoni, R Todeschini, D Ballabio, V Consonni
Journal of Chemometrics 36 (2), e3325, 2022
182022
Parsimonious optimization of multitask neural network hyperparameters
C Valsecchi, V Consonni, R Todeschini, ME Orlandi, F Gosetti, D Ballabio
Molecules 26 (23), 7254, 2021
112021
Deep learning applied to SEM images for supporting marine coralline algae classification
G Piazza, C Valsecchi, G Sottocornola
Diversity 13 (12), 640, 2021
102021
Activity cliffs and structural cliffs for categorical responses
R Todeschini, C Valsecchi
MATCH Commun Math Comput Chem 80, 283-294, 2018
42018
Multi-task neural networks and molecular fingerprints to enhance compound identification from LC-MS/MS data
V Consonni, F Gosetti, V Termopoli, R Todeschini, C Valsecchi, ...
Molecules 27 (18), 5827, 2022
22022
Deep Ranking Analysis by Power Eigenvectors (DRAPE): A study on the human, environmental and economic wellbeing of 154 countries
C Valsecchi, R Todeschini
Measuring and Understanding Complex Phenomena: Indicators and their Analysis …, 2021
22021
Deep Ranking Analysis by Power Eigenvectors (DRAPE): a polypharmacology case study
C Valsecchi, D Ballabio, V Consonni, R Todeschini
Chemometrics and Intelligent Laboratory Systems 203, 104001, 2020
22020
Similarity/Diversity Indices on Incidence Matrices Containing Missing Values
C Valsecchi, R Todeschini
MATCH Communications in Mathematical and in Computer Chemistry 83 (2), 239-260, 2020
22020
Multitask Learning for Quantitative Structure–Activity Relationships: A Tutorial
C Valsecchi, F Grisoni, V Consonni, D Ballabio, R Todeschini
Machine Learning and Deep Learning in Computational Toxicology, 199-220, 2023
12023
Expanding antineoplastic drugs surface monitoring profiles: enhancing of zwitterionic hydrophilic interaction methods
S Dugheri, N Mucci, D Squillaci, E Bucaletti, G Cappelli, L Trevisani, ...
Separations 9 (2), 34, 2022
12022
Evaluation of classification performances of minimum spanning trees by 13 different metrics
R Todeschini, C Valsecchi
MATCH communications in mathematical and in computer chemistry 87 (2), 273-298, 2022
12022
Comparison of machine learning approaches for the classification of elution profiles
G Baccolo, H Yu, C Valsecchi, D Ballabio, R Bro
Chemometrics and Intelligent Laboratory Systems 243, 105002, 2023
2023
Advancing the prediction of Nuclear Receptor modulators through machine learning methods
C Valsecchi
Università degli Studi di Milano-Bicocca, 2022
2022
Nuclear receptor modulators: Catching information by machine learning
C Valsecchi, F Grisoni, V Consonni, D Ballabio, R Todeschini
Biomedical Science and Engineering 2 (1), 2021
2021
Enhanced LC-MS/MS spectra matching through multitask neural networks and molecular fingerprints
C Valsecchi, G Baccolo, M Caserta, M Barbagallo, F Gosetti, V Consonni, ...
2021
Classification of coralline algae using deep learning techniques on SEM images
G Piazza, C Valsecchi, G Sottocornola, D Basso
BE GEO SCIENTISTS 2021 Abstract book, 181-181, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20