Structure/Response Correlations and Similarity/Diversity Analysis by GETAWAY Descriptors, 1. Theory of the Novel 3D Molecular Descriptors. - Viviana Consonni; Roberto Todeschini; Manuela Pavan (J. Chem. Inf. Comput. Sci., 2002)

Structure/Response Correlations and Similarity/Diversity Analysis by GETAWAY Descriptors, 2. Application of the Novel 3D Molecular Descriptors to QSAR/QSPR Studies. - Viviana Consonni; Roberto Todeschini; Manuela Pavan; Paola Gramatica (J. Chem. Inf. Comput. Sci., 2002)

Characterization of DNA Primary Sequences by a New Similarity/Diversity Measure Based on the Partial Ordering. - Roberto Todeschini; Viviana Consonni; Andrea Mauri 002; Davide Ballabio (J. Chem. Inf. Model., 2006)

Comments on the Definition of the Q2 Parameter for QSAR Validation. - Viviana Consonni; Davide Ballabio; Roberto Todeschini (J. Chem. Inf. Model., 2009)

Similarity Coefficients for Binary Chemoinformatics Data: Overview and Extended Comparison Using Simulated and Real Data Sets. - Roberto Todeschini; Viviana Consonni; Hua Xiang; John D. Holliday; Paolo Massimo Buscema; Peter Willett 002 (J. Chem. Inf. Model., 2012)

Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions. - Faizan Sahigara; Davide Ballabio; Roberto Todeschini; Viviana Consonni (J. Cheminformatics, 2013)

Quantitative Structure-Activity Relationship Models for Ready Biodegradability of Chemicals. - Kamel Mansouri; Tine Ringsted; Davide Ballabio; Roberto Todeschini; Viviana Consonni (J. Chem. Inf. Model., 2013)

QSAR biodegradation. - Kamel Mansouri; Tine Ringsted; Davide Ballabio; Roberto Todeschini; Viviana Consonni (UCI Machine Learning Repository, 2013)

N3 and BNN: Two New Similarity Based Classification Methods in Comparison with Other Classifiers. - Roberto Todeschini; Davide Ballabio; Matteo Cassotti; Viviana Consonni (J. Chem. Inf. Model., 2015)

Mixtures, metabolites, ionic liquids: a new measure to evaluate similarity between complex chemical systems. - Andrea Mauri 002; Davide Ballabio; Roberto Todeschini; Viviana Consonni (J. Cheminformatics, 2016)

Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project. - Francesca Grisoni; Viviana Consonni; Davide Ballabio (J. Chem. Inf. Model., 2019)

QSAR fish toxicity. - Davide Ballabio; Matteo Cassotti; Viviana Consonni; Roberto Todeschini (UCI Machine Learning Repository, 2019)

QSAR aquatic toxicity. - Davide Ballabio; Matteo Cassotti; Viviana Consonni; Roberto Todeschini (UCI Machine Learning Repository, 2019)

Consensus versus Individual QSARs in Classification: Comparison on a Large-Scale Case Study. - Cecile Valsecchi; Francesca Grisoni; Viviana Consonni; Davide Ballabio (J. Chem. Inf. Model., 2020)

Effectiveness of molecular fingerprints for exploring the chemical space of natural products. - Davide Boldini; Davide Ballabio; Viviana Consonni; Roberto Todeschini; Francesca Grisoni; Stephan A. Sieber (J. Cheminformatics, 2024)