Research

You can also find my articles on my Google Scholar profile.

Peer Reviewed International Journals

G. Gagliardi, A. L. Alfeo, V. Catrambone, D. Candia-Rivera, M. G.C.A. Cimino, G. Valenza. "Improving emotion recognition systems by exploiting the spatial information of EEG sensors", IEEE Access (2023): 1-1
A. L. Alfeo, M. G. C. A. Cimino, and G. Gagliardi, “Concept-wise granular computing for explainable artificial intelligence”, Granular Computing, 2022
G. Gagliardi, A. L. Alfeo, V. Catrambone, M.G.C.A. Cimino, M. De Vos, and G. Valenza. “Emotion-Specific Brain-Heart Interplay Saliency Maps using eXplainable Artificial Intelligence Guido”, Submitted to an international Journal
A. L. Alfeo, M. G. C. A. Cimino, and G. Gagliardi, “Recognizing bearings' degradation stage by using multi-modal autoencoder to learn features from different time series”, Submitted to an international Journal

G. Gagliardi, A. L. Alfeo, V. Catrambone, M.G.C.A. Cimino, M. De Vos, and G. Valenza. “Fine-grained Emotion Recognition using Brain-Heart Interplay measurements and eXplainable Convolutional Neural Networks”, the 11th International IEEE EMBS Conference on Neural Engineering, April 25 - April 27, 2023. Baltimore, MD, USA.
Antonio L Alfeo, Mario G C A Cimino, Guido Gagliardi, "Automatic feature extraction for bearings’ degradation assessment using minimally pre-processed time series and multi-modal feature learning", Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL 2022), 1-10
Antonio L Alfeo, Mario G C A Cimino, Guido Gagliardi, "Improving an ensemble of neural networks via a novel multi-class decomposition schema", Proceedings of the 14th International Conference on Neural Computation Theory and Applications (NCTA 2022), 1-7
A. L. Alfeo, M. G. C. A. Cimino, and G. Gagliardi, “Matching the expert's knowledge via a counterfactual-based feature importance measure”, Submitted to an international Conference
G. Gagliardi, A. L. Alfeo, V. Catrambone, M.G.C.A. Cimino, M. De Vos, and G. Valenza. “Using contrastive learning to inject domain-knowledge into neural networks for recognizing emotions”, Submitted to an international Conference