publications

2024

1. 

   Learning to Learn without Forgetting using Attention

   Anna Vettoruzzo, Joaquin Vanschoren, Mohamed-Rafik Bouguelia, and 1 more author

   arXiv preprint arXiv:2408.03219, 2024

   Bib HTML

   @article{vettoruzzo2024learning,
     title = {Learning to Learn without Forgetting using Attention},
     author = {Vettoruzzo, Anna and Vanschoren, Joaquin and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},
     journal = {arXiv preprint arXiv:2408.03219},
     year = {2024},
   }

2. 

   Advances and challenges in meta-learning: A technical review

   Anna Vettoruzzo, Mohamed-Rafik Bouguelia, Joaquin Vanschoren, and 2 more authors

   IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

   Bib HTML

   @article{vettoruzzo2024advances,
     title = {Advances and challenges in meta-learning: A technical review},
     author = {Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and Vanschoren, Joaquin and Rognvaldsson, Thorsteinn and Santosh, KC},
     journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
     year = {2024},
     publisher = {IEEE},
   }

3. 

   Personalized federated learning with contextual modulation and meta-learning

   Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson

   In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM), 2024

   Bib HTML

   @inproceedings{vettoruzzo2024personalized,
     title = {Personalized federated learning with contextual modulation and meta-learning},
     author = {Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},
     booktitle = {Proceedings of the 2024 SIAM International Conference on Data Mining (SDM)},
     pages = {842--850},
     year = {2024},
     organization = {SIAM},
   }

4. 

   Unsupervised Meta-Learning via In-Context Learning

   Anna Vettoruzzo, Lorenzo Braccaioli, Joaquin Vanschoren, and 1 more author

   arXiv preprint arXiv:2405.16124, 2024

   Bib HTML

   @article{vettoruzzo2024unsupervised,
     title = {Unsupervised Meta-Learning via In-Context Learning},
     author = {Vettoruzzo, Anna and Braccaioli, Lorenzo and Vanschoren, Joaquin and Nowaczyk, Marlena},
     journal = {arXiv preprint arXiv:2405.16124},
     year = {2024},
   }

5. 

   Multimodal meta-learning through meta-learned task representations

   Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson

   Neural Computing and Applications, 2024

   Bib HTML

   @article{vettoruzzo2024multimodal,
     title = {Multimodal meta-learning through meta-learned task representations},
     author = {Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},
     journal = {Neural Computing and Applications},
     volume = {36},
     number = {15},
     pages = {8519--8529},
     year = {2024},
     publisher = {Springer},
   }

6. 

   Meta-learning for efficient unsupervised domain adaptation

   Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson

   Neurocomputing, 2024

   Bib HTML

   @article{vettoruzzo2024meta,
     title = {Meta-learning for efficient unsupervised domain adaptation},
     author = {Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},
     journal = {Neurocomputing},
     volume = {574},
     pages = {127264},
     year = {2024},
     publisher = {Elsevier},
   }

2023

1. 

   Meta-learning from multimodal task distributions using multiple sets of meta-parameters

   Anna Vettoruzzo, Mohamed-Rafik Bouguelia, and Thorsteinn Rögnvaldsson

   In 2023 International Joint Conference on Neural Networks (IJCNN), 2023

   Bib HTML

   @inproceedings{vettoruzzo2023meta,
     title = {Meta-learning from multimodal task distributions using multiple sets of meta-parameters},
     author = {Vettoruzzo, Anna and Bouguelia, Mohamed-Rafik and R{\"o}gnvaldsson, Thorsteinn},
     booktitle = {2023 International Joint Conference on Neural Networks (IJCNN)},
     pages = {1--8},
     year = {2023},
     organization = {IEEE},
   }