Meta-Learning from Multimodal Task Distributions Using Multiple Sets of Meta-Parameters. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (IJCNN, 2023)

Learning to learn without forgetting using attention. - Anna Vettoruzzo; Joaquin Vanschoren; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (CoLLAs, 2024)

Personalized Federated Learning with Contextual Modulation and Meta-Learning. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (SDM, 2024)

Advances and Challenges in Meta-Learning: A Technical Review. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Joaquin Vanschoren; Thorsteinn S. Rögnvaldsson; KC Santosh (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Meta-learning for efficient unsupervised domain adaptation. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (Neurocomputing, 2024)

Multimodal meta-learning through meta-learned task representations. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (Neural Comput. Appl., 2024)

Unsupervised Meta-Learning via In-Context Learning. - Anna Vettoruzzo; Lorenzo Braccaioli; Joaquin Vanschoren; Marlena Nowaczyk (ICLR, 2025)

Bridging Spatial and Temporal Contexts: Sparse Transfer Learning. - Daniel Persson; William Wahlberg; Anna Vettoruzzo; Slawomir Nowaczyk (IDA, 2025)

Advancing Meta-Learning for Enhanced Generalization Across Diverse Tasks - Anna Vettoruzzo (2025)

Meta-Learning Transformers to Improve In-Context Generalization. - Lorenzo Braccaioli; Anna Vettoruzzo; Prabhant Singh; Joaquin Vanschoren; Mohamed-Rafik Bouguelia; Nicola Conci (CoRR, 2025)

Efficient few-shot human activity recognition via meta-learning and data augmentation. - Anna Vettoruzzo; Mohamed-Rafik Bouguelia; Thorsteinn S. Rögnvaldsson (Neural Comput. Appl., 2025)