| Bayesian mixtures of hidden tree markov models for structured data clustering D Bacciu, D Castellana Neurocomputing 342, 49-59, 2019 | 9 | 2019 |
| The Infinite Contextual Graph Markov Model D Castellana, F Errica, D Bacciu, A Micheli International Conference on Machine Learning, 2721-2737, 2022 | 7 | 2022 |
| Bayesian tensor factorisation for bottom-up hidden tree markov models D Castellana, D Bacciu 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 7 | 2019 |
| Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data D Castellana, D Bacciu European Symposium on Artificial Neural Networks, Computational Intelligence …, 2020 | 5 | 2020 |
| A Tensor Framework for Learning in Structured Domains D Castellana, D Bacciu Neurocomputing 470, 405-426, 2022 | 4 | 2022 |
| Generalising recursive neural models by tensor decomposition D Castellana, D Bacciu 2020 International Joint Conference on Neural Networks (IJCNN), 2020 | 4 | 2020 |
| Mixture of hidden markov models as tree encoder D Bacciu, D Castellana Proc. of the European Symposium on Artificial Neural Networks, Computational …, 2018 | 4 | 2018 |
| Learning from Non-Binary Constituency Trees via Tensor Decomposition D Castellana, D Bacciu Proceedings of the 28th International Conference on Computational …, 2020 | 3 | 2020 |
| Learning Tree Distributions by Hidden Markov Models D Bacciu, D Castellana arXiv preprint arXiv:1805.12372, 2018 | 3 | 2018 |
| Investigating the Interplay between Features and Structures in Graph Learning D Castellana, F Errica 20th International Workshop on Mining and Learning with Graphs, 2023 | 1 | 2023 |
| Lying Graph Convolution: Learning to Lie for Node Classification Tasks D Castellana arXiv preprint arXiv:2405.01247, 2024 | | 2024 |
| CD-IMM: The Benefits of Domain-based Mixture Models in Bayesian Continual Learning D Castellana, A Carta, D Bacciu First ContinualAI Unconference-Preregistration Track, 2024 | | 2024 |
| A Tensor Framework for Learning in Structured Domains D Castellana Università di Pisa, 2021 | | 2021 |
| Learning Tree Transducers: a coupled Hidden Markov Tree Approach D CASTELLANA Università di Pisa, 2017 | | 2017 |
Davide BacciuDipartimento di Informatica, Università di PisaBestätigte E-Mail-Adresse bei di.unipi.it
