TODESCHINI ROBERTO

Todeschini, R., Ballabio, D., Termopoli, V., Consonni, V. (2024). Extended multivariate comparison of 68 cluster validity indices. A review. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 251(15 August 2024) [10.1016/j.chemolab.2024.105117]. Detail

Consonni, V., Todeschini, R., Orlandi, M., Ballabio, D. (2024). Kernel-based mapping of reliability in predictions for consensus modelling. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 246(15 March 2024) [10.1016/j.chemolab.2024.105085]. Detail

Boldini, D., Ballabio, D., Consonni, V., Todeschini, R., Grisoni, F., Sieber, S. (2024). Effectiveness of molecular fingerprints for exploring the chemical space of natural products. JOURNAL OF CHEMINFORMATICS, 16(1) [10.1186/s13321-024-00830-3]. Detail

Consonni, V., Ballabio, D., Todeschini, R. (2023). Chemical space and Molecular Descriptors for QSAR studies. In R. Kunal (a cura di), Cheminformatics, QSAR and Machine Learning Applications for Novel Drug Development (pp. 303-327). Elsevier [10.1016/B978-0-443-18638-7.00022-0]. Detail

Rojas, C., Ballabio, D., Consonni, V., Suárez-Estrella, D., Todeschini, R. (2023). Classification-based Machine Learning Approaches to Predict the Taste of Molecules: A Review. FOOD RESEARCH INTERNATIONAL, 171(September 2023) [10.1016/j.foodres.2023.113036]. Detail