GAGLIARDI, GUIDO Statistiche
GAGLIARDI, GUIDO
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
Building neural networks’ latent space to extract instance-based explanations for sleep staging
2025-01-01 Gagliardi, Guido; Alfeo, Antonio Luca; Cimino, Mario G. C. A.; Valenza, Gaetano; De Vos, Maarten
Matching the Expert’s Knowledge via a Counterfactual-Based Feature Importance Measure
2025-01-01 Alfeo, Antonio Luca; Cimino, Mario G. C. A.; Gagliardi, Guido
Model-driven validation of visual explanations for multimodal emotion recognition
2025-01-01 Gagliardi, G.; Alfeo, A. L.; Catrambone, V.; Cimino, M. G. C. A.; De Vos, M.; Valenza, G.
PhysioEx, a new Python library for explainable sleep staging through deep learning
2025-01-01 Gagliardi, Guido; Alfeo, Luca; Cimino, Mario Giovanni Cosimo Antonio; Valenza, Gaetano; De Vos, Maarten Frans H
Region-aware Minimal Counterfactual Rules for Model-agnostic Explainable Classification
2025-01-01 Gagliardi, Guido; Alfeo, Antonio Luca; Guidotti, Riccardo; Cimino, Mario G. C. A.
Recognizing Bearings’ Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series
2024-01-01 Alfeo, A. L.; Cimino, M. G. C. A.; Gagliardi, G.
Concept-wise granular computing for explainable artificial intelligence
2023-01-01 Alfeo, A. L.; Cimino, M. G. C. A.; Gagliardi, G.
Using contrastive learning to inject domain-knowledge into neural networks for recognizing emotions
2023-01-01 Gagliardi, Guido; Luca Alfeo, Antonio; Catrambone, Vincenzo; Cimino, Mario G. C. A.; De Vos, Maarten; Valenza, Gaetano
Automatic feature extraction for bearings’ degradation assessment using minimally pre-processed time series and multi-modal feature learning
2022-01-01 Alfeo, Antonio L.; Cimino, Mario G. C. A.; Gagliardi, Guido
Improving an ensemble of neural networks via a novel multi-class decomposition schema
2022-01-01 Alfeo, Antonio L.; Cimino, Mario G. C. A.; Gagliardi, Guido
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Building neural networks’ latent space to extract instance-based explanations for sleep staging | 1-gen-2025 | Gagliardi, Guido; Alfeo, Antonio Luca; Cimino, Mario G. C. A.; Valenza, Gaetano; De Vos, Maarten | |
| Matching the Expert’s Knowledge via a Counterfactual-Based Feature Importance Measure | 1-gen-2025 | Alfeo, Antonio Luca; Cimino, Mario G. C. A.; Gagliardi, Guido | |
| Model-driven validation of visual explanations for multimodal emotion recognition | 1-gen-2025 | Gagliardi, G.; Alfeo, A. L.; Catrambone, V.; Cimino, M. G. C. A.; De Vos, M.; Valenza, G. | |
| PhysioEx, a new Python library for explainable sleep staging through deep learning | 1-gen-2025 | Gagliardi, Guido; Alfeo, Luca; Cimino, Mario Giovanni Cosimo Antonio; Valenza, Gaetano; De Vos, Maarten Frans H | |
| Region-aware Minimal Counterfactual Rules for Model-agnostic Explainable Classification | 1-gen-2025 | Gagliardi, Guido; Alfeo, Antonio Luca; Guidotti, Riccardo; Cimino, Mario G. C. A. | |
| Recognizing Bearings’ Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series | 1-gen-2024 | Alfeo, A. L.; Cimino, M. G. C. A.; Gagliardi, G. | |
| Concept-wise granular computing for explainable artificial intelligence | 1-gen-2023 | Alfeo, A. L.; Cimino, M. G. C. A.; Gagliardi, G. | |
| Using contrastive learning to inject domain-knowledge into neural networks for recognizing emotions | 1-gen-2023 | Gagliardi, Guido; Luca Alfeo, Antonio; Catrambone, Vincenzo; Cimino, Mario G. C. A.; De Vos, Maarten; Valenza, Gaetano | |
| Automatic feature extraction for bearings’ degradation assessment using minimally pre-processed time series and multi-modal feature learning | 1-gen-2022 | Alfeo, Antonio L.; Cimino, Mario G. C. A.; Gagliardi, Guido | |
| Improving an ensemble of neural networks via a novel multi-class decomposition schema | 1-gen-2022 | Alfeo, Antonio L.; Cimino, Mario G. C. A.; Gagliardi, Guido |