Conditional Constrained Graph Variational Autoencoders for Molecule Design D Rigoni, N Navarin, A Sperduti IEEE Symposium Series on Computational Intelligence (IEEE SSCI), 2020 | 26 | 2020 |
A Systematic Assessment of Deep Learning Models for Molecule Generation D Rigoni, N Navarin, A Sperduti European Symposium on Artificial Neural Networks (ESANN), 2020 | 12 | 2020 |
Weakly-Supervised Visual-Textual Grounding with Semantic Prior Refinement D Rigoni, L Parolari, L Serafini, A Sperduti, L Ballan 34th British Machine Vision Conference 2023, {BMVC} 2023, Aberdeen, UK …, 2023 | 3 | 2023 |
A better loss for visual-textual grounding D Rigoni, L Serafini, A Sperduti Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing, 49-57, 2022 | 3 | 2022 |
Cleaner categories improve object detection and visual-textual grounding D Rigoni, D Elliott, S Frank Scandinavian Conference on Image Analysis, 412-442, 2023 | 2 | 2023 |
Rgcvae: Relational graph conditioned variational autoencoder for molecule design D Rigoni, N Navarin, A Sperduti arXiv preprint arXiv:2305.11699, 2023 | 1 | 2023 |
TumFlow: An AI Model for Predicting New Anticancer Molecules D Rigoni, S Yaddehige, N Bianchi, A Sperduti, S Moro, C Taccioli International Journal of Molecular Sciences 25 (11), 6186, 2024 | | 2024 |
Object search by a concept-conditioned object detector D Rigoni, L Serafini, A Sperduti Neural Computing and Applications, 1-21, 2024 | | 2024 |
Understanding Multimedia Content with Prior Knowledge D Rigoni Università degli studi di Padova, 2023 | | 2023 |