| Concept-wise granular computing for explainable artificial intelligence AL Alfeo, MGCA Cimino, G Gagliardi Granular Computing 8 (4), 827-838, 2023 | 8 | 2023 |
| Improving emotion recognition systems by exploiting the spatial information of EEG sensors G Gagliardi, AL Alfeo, V Catrambone, D Candia-Rivera, MGCA Cimino, ... IEEE Access 11, 39544-39554, 2023 | 4 | 2023 |
| Automatic Feature Extraction for Bearings' Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning. AL Alfeo, MGCA Cimino, G Gagliardi IN4PL, 94-103, 2022 | 3 | 2022 |
| Fine-grained emotion recognition using brain-heart interplay measurements and explainable convolutional neural networks G Gagliardi, AL Alfeo, V Catrambone, MGCA Cimino, M De Vos, ... 2023 11th International IEEE/EMBS Conference on Neural Engineering (NER), 1-6, 2023 | 2 | 2023 |
| Using contrastive learning to inject domain-knowledge into neural networks for recognizing emotions G Gagliardi, AL Alfeo, V Catrambone, MGCA Cimino, M De Vos, ... 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1587-1592, 2023 | 1 | 2023 |
| Matching the expert’s knowledge via a counterfactual-based feature importance measure AL Alfeo, MGCA Cimino, G Gagliardi Proc. of 2023 European Conference on Machine Learning and Principles and …, 2023 | 1 | 2023 |
| Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema. AL Alfeo, MGCA Cimino, G Gagliardi IJCCI, 389-395, 2022 | 1 | 2022 |
| Recognizing Bearings’ Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series AL Alfeo, MGCA Cimino, G Gagliardi SN Computer Science 5 (4), 371, 2024 | | 2024 |
| A novel multimodal feature learning architecture for explainable affective computing G GAGLIARDI | | 2021 |
Antonio Luca AlfeoUniversity of PisaEmail verificata su ing.unipi.it
