Floriane Montanari

According to our database, Floriane Montanari authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Enhancing Interpretability in Molecular Property Prediction with Contextual Explanations of Molecular Graphical Depictions.

Marco Bertolini, Linlin Zhao, Floriane Montanari, Djork-Arné Clevert

Proceedings of the AI in Drug Discovery - First International Workshop, 2024

2023

pH-dependent solubility prediction for optimized drug absorption and compound uptake by plants.

Anne Bonin, Floriane Montanari, Sebastian Niederführ, Andreas H. Göller

J. Comput. Aided Mol. Des., March, 2023

From slides (through tiles) to pixels: an explainability framework for weakly supervised models in pre-clinical pathology.

Marco Bertolini, Van-Khoa Le, Jake Pencharz, Andreas Poehlmann, Djork-Arné Clevert, Santiago Villalba, Floriane Montanari

CoRR, 2023

Explaining, Evaluating and Enhancing Neural Networks' Learned Representations.

Marco Bertolini, Djork-Arné Clevert, Floriane Montanari

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

2022

ChemInformatics Model Explorer (CIME): exploratory analysis of chemical model explanations.

Christina Humer, Henry Heberle, Floriane Montanari, Thomas Wolf, Florian Huber, Ryan Henderson, Julian Heinrich, Marc Streit

J. Cheminformatics, 2022

2021

Improving Molecular Graph Neural Network Explainability with Orthonormalization and Induced Sparsity.

Ryan Henderson, Djork-Arné Clevert, Floriane Montanari

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Gini in a Bottleneck: Gotta Train Me the Right Way.

Ryan Henderson, Djork-Arné Clevert, Floriane Montanari

CoRR, 2020

2016

Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning.

Floriane Montanari, Barbara Zdrazil, Daniela Digles, Gerhard F. Ecker

J. Cheminformatics, 2016