ALFEO, ANTONIO LUCA Statistiche
ALFEO, ANTONIO LUCA
DIPARTIMENTO DI INGEGNERIA DELL'INFORMAZIONE
Acceptability, Usability, and Insights Into Cybersickness Levels of a Novel Virtual Reality Environment for the Evaluation of Depressive Symptoms: Exploratory Observational Study
2025-01-01 Sutori, S.; Eliasson, E. T.; Mura, F.; Ortiz, V.; Catrambonephd, V.; Hadlaczky, G.; Todorov, I.; Alfeo, A. L.; Cardi, V.; Cimino, M. G. C. A.; Mioni, G.; Raya, M. A.; Valenza, G.; Carli, V.; Gentili, C.
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
EEG-based motor imagery recognition via novel explainable ensemble learning architecture
2025-01-01 Alfeo, A. L.; Catrambone, V.; Cimino, M. G. C. A.; Valenza, G.
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.
Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure
2024-01-01 Alfeo, A. L.; Cimino, M. 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.
Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks
2023-01-01 Gagliardi, Guido; Alfeo, Antonio Luca; Catrambone, Vincenzo; Cimino, Mario G. C. A.; De Vos, Maarten; Valenza, Gaetano
From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks
2023-01-01 Alfeo, Antonio Luca; Zippo, Antonio G; Catrambone, Vincenzo; Cimino, Mario G C A; Toschi, Nicola; Valenza, Gaetano
Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors
2023-01-01 Gagliardi, Guido; Alfeo, Antonio Luca; Catrambone, Vincenzo; Candia-Rivera, Diego; Cimino, Mario G. C. A.; Valenza, Gaetano
The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence
2023-01-01 Valenza, Gaetano; Alcaniz, M.; Alfeo, A. L.; Bianchi, Matteo; Carli, V.; Catrambone, Vincenzo; Cimino, M. G. C. A.; Dudnik, G.; Duggento, A.; Ferrante, M.; Gentili, C.; Guixeres, J.; Rossi, S.; Toschi, N.; Van Wassenhove, V.
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
Degradation stage classification via interpretable feature learning
2021-01-01 Alfeo, A. L.; Cimino, M. G. C. A.; Vaglini, G.
Recognizing motor imagery tasks from EEG oscillations through a novel ensemble-based neural network architecture
2021-01-01 Alfeo, A. L.; Catrambone, V.; Cimino, M. G. C. A.; Vaglini, G.; Valenza, G.
Technological troubleshooting based on sentence embedding with deep transformers
2021-01-01 Alfeo, A. L.; Cimino, M. G. C. A.; Vaglini, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Acceptability, Usability, and Insights Into Cybersickness Levels of a Novel Virtual Reality Environment for the Evaluation of Depressive Symptoms: Exploratory Observational Study | 1-gen-2025 | Sutori, S.; Eliasson, E. T.; Mura, F.; Ortiz, V.; Catrambonephd, V.; Hadlaczky, G.; Todorov, I.; Alfeo, A. L.; Cardi, V.; Cimino, M. G. C. A.; Mioni, G.; Raya, M. A.; Valenza, G.; Carli, V.; Gentili, C. | |
| 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 | |
| EEG-based motor imagery recognition via novel explainable ensemble learning architecture | 1-gen-2025 | Alfeo, A. L.; Catrambone, V.; Cimino, M. G. C. A.; Valenza, G. | |
| 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. | |
| Counterfactual-Based Feature Importance for Explainable Regression of Manufacturing Production Quality Measure | 1-gen-2024 | Alfeo, A. L.; Cimino, M. 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. | |
| Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks | 1-gen-2023 | Gagliardi, Guido; Alfeo, Antonio Luca; Catrambone, Vincenzo; Cimino, Mario G. C. A.; De Vos, Maarten; Valenza, Gaetano | |
| From local counterfactuals to global feature importance: efficient, robust, and model-agnostic explanations for brain connectivity networks | 1-gen-2023 | Alfeo, Antonio Luca; Zippo, Antonio G; Catrambone, Vincenzo; Cimino, Mario G C A; Toschi, Nicola; Valenza, Gaetano | |
| Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors | 1-gen-2023 | Gagliardi, Guido; Alfeo, Antonio Luca; Catrambone, Vincenzo; Candia-Rivera, Diego; Cimino, Mario G. C. A.; Valenza, Gaetano | |
| The EXPERIENCE Project: Unveiling Extended-Personal Reality Through Automated VR Environments and Explainable Artificial Intelligence | 1-gen-2023 | Valenza, Gaetano; Alcaniz, M.; Alfeo, A. L.; Bianchi, Matteo; Carli, V.; Catrambone, Vincenzo; Cimino, M. G. C. A.; Dudnik, G.; Duggento, A.; Ferrante, M.; Gentili, C.; Guixeres, J.; Rossi, S.; Toschi, N.; Van Wassenhove, V. | |
| 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 | |
| Degradation stage classification via interpretable feature learning | 1-gen-2021 | Alfeo, A. L.; Cimino, M. G. C. A.; Vaglini, G. | |
| Recognizing motor imagery tasks from EEG oscillations through a novel ensemble-based neural network architecture | 1-gen-2021 | Alfeo, A. L.; Catrambone, V.; Cimino, M. G. C. A.; Vaglini, G.; Valenza, G. | |
| Technological troubleshooting based on sentence embedding with deep transformers | 1-gen-2021 | Alfeo, A. L.; Cimino, M. G. C. A.; Vaglini, G. |