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 | 128 | 2018 |
Learning aggregation functions G Pellegrini, A Tibo, P Frasconi, A Passerini, M Jaeger Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 19 | 2021 |
Learning and Interpreting Multi-Multi-Instance Learning Networks A Tibo, M Jaeger, P Frasconi Journal of Machine Learning Research 21 (193), 1-60, 2020 | 18 | 2020 |
A network architecture for multi-multi-instance learning A Tibo, P Frasconi, M Jaeger Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 11 | 2017 |
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 | 9 | 2018 |
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 |
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 | 7 | 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 | 6 | 2023 |
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 | 6 | 2020 |
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, 2024 | 3 | 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 | 3 | 2018 |
Exhaustive local chemical space exploration using a transformer model A Tibo, J He, JP Janet, E Nittinger, O Engkvist | 2 | 2023 |
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 | 2 | 2023 |
Evaluation of Reinforcement Learning in Transformer-based Molecular Design J He, A Tibo, JP Janet, E Nittinger, C Tyrchan, W Czechtizky, E Ola | 1 | 2024 |
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 |
Inducing gaussian process networks A Tibo, TD Nielsen arXiv preprint arXiv:2204.09889, 2022 | 1 | 2022 |
Optimal staining and clearing protocol for whole mouse brain vasculature imaging with light-sheet microscopy AP Di Giovanna, A Tibo, L Silvestri, MC Müllenbroich, I Costantini, ... European Conference on Biomedical Optics, 104140N, 2017 | 1 | 2017 |
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, 2023 | | 2023 |
Graph Neural Networks for Metagenomic Binning A Lamurias, A Tibo, K Hose, M Albertsen, TD Nielsen ICML Workshop on Computational Biology, 2023 | | 2023 |
EXOGEM: Extending OpenAPI Generator for Monitoring of RESTful APIs DF Holtebo, JL Sommer, MM Lund, A Tibo, J Dongo, M Albano International Conference on Service-Oriented Computing, 118-129, 2022 | | 2022 |