| Whole-brain vasculature reconstruction at the single capillary level AP Di Giovanna, A Tibo, L Silvestri, MC Müllenbroich, I Costantini, ... Scientific reports 8 (1), 12573, 2018 | 142 | 2018 |
| Reinvent 4: Modern AI–driven generative molecule design HH Loeffler, J He, A Tibo, JP Janet, A Voronov, LH Mervin, O Engkvist Journal of Cheminformatics 16 (1), 20, 2024 | 83 | 2024 |
| Learning and Interpreting Multi-Multi-Instance Learning Networks A Tibo, M Jaeger, P Frasconi Journal of Machine Learning Research 21 (193), 1-60, 2020 | 25 | 2020 |
| Learning aggregation functions G Pellegrini, A Tibo, P Frasconi, A Passerini, M Jaeger Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 23 | 2021 |
| Sample efficient reinforcement learning with active learning for molecular design M Dodds, J Guo, T Löhr, A Tibo, O Engkvist, JP Janet Chemical Science 15 (11), 4146-4160, 2024 | 20 | 2024 |
| Machine learning-based algorithms to estimate thermal dynamics of residential buildings with energy flexibility N Cibin, A Tibo, H Golmohamadi, A Skou, M Albano Journal of Building Engineering 65, 105683, 2023 | 15 | 2023 |
| A network architecture for multi-multi-instance learning A Tibo, P Frasconi, M Jaeger Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 15 | 2017 |
| From statistical model checking to run-time monitoring using a bayesian network approach M Jaeger, KG Larsen, A Tibo Runtime Verification: 20th International Conference, RV 2020, Los Angeles …, 2020 | 10 | 2020 |
| Extended pipeline for content-based feature engineering in music genre recognition T Raissi, A Tibo, P Bientinesi 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 10 | 2018 |
| Exhaustive local chemical space exploration using a transformer model A Tibo, J He, JP Janet, E Nittinger, O Engkvist Nature Communications 15 (1), 7315, 2024 | 9 | 2024 |
| Do chemformers dream of organic matter? evaluating a transformer model for multistep retrosynthesis AM Westerlund, S Manohar Koki, S Kancharla, A Tibo, L Saigiridharan, ... Journal of Chemical Information and Modeling 64 (8), 3021-3033, 2024 | 9 | 2024 |
| Metagenomic binning using connectivity-constrained variational autoencoders A Lamurias, A Tibo, K Hose, M Albertsen, TD Nielsen International Conference on Machine Learning, 18471-18481, 2023 | 9 | 2023 |
| Maintenance and emergency management with an integrated indoor/outdoor navigation support P Bellini, P Nesi, M Simoncini, A Tibo Journal of Visual Languages & Computing 25 (6), 637-649, 2014 | 9 | 2014 |
| Efficient 3d molecular generation with flow matching and scale optimal transport R Irwin, A Tibo, JP Janet, S Olsson arXiv preprint arXiv:2406.07266, 2024 | 8 | 2024 |
| Off the beaten track: Using deep learning to interpolate between music genres T Borghuis, A Tibo, S Conforti, L Canciello, L Brusci, P Frasconi arXiv preprint arXiv:1804.09808, 2018 | 4 | 2018 |
| Evaluation of reinforcement learning in transformer-based molecular design J He, A Tibo, JP Janet, E Nittinger, C Tyrchan, W Czechtizky, O Engkvist Journal of Cheminformatics 16 (1), 95, 2024 | 3 | 2024 |
| Challenge for Deep Learning: Protein Structure Prediction of Ligand-Induced Conformational Changes at Allosteric and Orthosteric Sites G Olanders, G Testa, A Tibo, E Nittinger, C Tyrchan Journal of Chemical Information and Modeling 64 (22), 8481-8494, 2024 | 2 | 2024 |
| PepINVENT: Generative peptide design beyond the natural amino acids G Geylan, JP Janet, A Tibo, J He, A Patronov, M Kabeshov, F David, ... arXiv preprint arXiv:2409.14040, 2024 | 1 | 2024 |
| Graph Neural Networks for Metagenomic Binning A Lamurias, A Tibo, K Hose, M Albertsen, TD Nielsen # PLACEHOLDER_PARENT_METADATA_VALUE#, 2023 | 1 | 2023 |
| Graph Neural Networks for Microbial Genome Recovery A Lamurias, A Tibo, K Hose, M Albertsen, TD Nielsen arXiv preprint arXiv:2204.12270, 2022 | 1 | 2022 |
Paolo FrasconiProfessor of Computer Science, Università di FirenzeПодтвержден адрес электронной почты в домене dsi.unifi.it