Francesca Grisoni

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 16

Top Topics

Gradient Boosting

Machine Learning

Top Venues

J. Chem. Inf. Model.

Nat. Mach. Intell.

J. Cheminformatics

Publications

Riza Özçelik, Francesca Grisoni
A Hitchhiker's Guide to Deep Chemical Language Processing for Bioactivity Prediction. CoRR (2024)
Davide Boldini, Davide Ballabio, Viviana Consonni, Roberto Todeschini, Francesca Grisoni, Stephan A. Sieber
Effectiveness of molecular fingerprints for exploring the chemical space of natural products. J. Cheminformatics 16 (1) (2024)
Derek van Tilborg, Alisa Alenicheva, Francesca Grisoni
Correction to "Exposing the Limitations of Molecular Machine Learning with Activity Cliffs". J. Chem. Inf. Model. 63 (7) (2023)
Davide Boldini, Francesca Grisoni, Daniel Kuhn, Lukas Friedrich, Stephan A. Sieber
Practical guidelines for the use of gradient boosting for molecular property prediction. J. Cheminformatics 15 (1) (2023)
Michael Moret, Francesca Grisoni, Paul Katzberger, Gisbert Schneider
Perplexity-Based Molecule Ranking and Bias Estimation of Chemical Language Models. J. Chem. Inf. Model. 62 (5) (2022)
Riza Özçelik, Derek van Tilborg, José Jiménez-Luna, Francesca Grisoni
Structure-based drug discovery with deep learning. CoRR (2022)
Derek van Tilborg, Alisa Alenicheva, Francesca Grisoni
Exposing the Limitations of Molecular Machine Learning with Activity Cliffs. J. Chem. Inf. Model. 62 (23) (2022)
Kenneth Atz, Francesca Grisoni, Gisbert Schneider
Geometric Deep Learning on Molecular Representations. CoRR (2021)
Kenneth Atz, Francesca Grisoni, Gisbert Schneider
Geometric deep learning on molecular representations. Nat. Mach. Intell. 3 (12) (2021)
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
Drug discovery with explainable artificial intelligence. CoRR (2020)
Cecile Valsecchi, Francesca Grisoni, Viviana Consonni, Davide Ballabio
Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study. J. Chem. Inf. Model. 60 (3) (2020)
Michael Moret, Lukas Friedrich, Francesca Grisoni, Daniel Merk, Gisbert Schneider
Generative molecular design in low data regimes. Nat. Mach. Intell. 2 (3) (2020)
Francesca Grisoni, Michael Moret, Robin Lingwood, Gisbert Schneider
Bidirectional Molecule Generation with Recurrent Neural Networks. J. Chem. Inf. Model. 60 (3) (2020)
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
Drug discovery with explainable artificial intelligence. Nat. Mach. Intell. 2 (10) (2020)
Francesca Grisoni, Viviana Consonni, Davide Ballabio
Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project. J. Chem. Inf. Model. 59 (5) (2019)
Roberto Todeschini, Davide Ballabio, Francesca Grisoni
! A Comparative Study of Regression Metrics for Predictivity Assessment of QSAR Models. J. Chem. Inf. Model. 56 (10) (2016)