Guido Gagliardi

According to our database, Guido Gagliardi authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

NeuroAtlas: Benchmarking Foundation Models for Clinical EEG and Brain-Computer Interfaces.

Konstantinos Kontras, Trui Osselaer, Stylianos G. Mouslech, Angeliki-Ilektra Karaiskou, Guido Gagliardi, Thomas Strypsteen, Mohammad Hossein Badiei, Anku Rani, Maarten Vanmarcke, Miguel Bhagubai, Chanakya Ekbote, Jaedong Hwang, Christos Chatzichristos, Paul Pu Liang, Maarten De Vos

CoRR, May, 2026

2025

Model-driven validation of visual explanations for multimodal emotion recognition.

Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza

Mach. Learn., December, 2025

Region-aware Minimal Counterfactual Rules for Model-agnostic Explainable Classification.

Guido Gagliardi, Antonio Luca Alfeo, Riccardo Guidotti, Mario G. C. A. Cimino

Mach. Learn., October, 2025

Building neural networks' latent space to extract instance-based explanations for sleep staging.

Guido Gagliardi, Antonio Luca Alfeo, Mario G. C. A. Cimino, Gaetano Valenza, Maarten De Vos

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

2024

Recognizing Bearings' Degradation Stage Using Multimodal Autoencoder to Learn Features from Different Time Series.

Antonio Luca Alfeo, Mario G. C. A. Cimino, Guido Gagliardi

SN Comput. Sci., April, 2024

2023

Improving Emotion Recognition Systems by Exploiting the Spatial Information of EEG Sensors.

Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Diego Candia-Rivera, Mario G. C. A. Cimino, Gaetano Valenza

IEEE Access, 2023

Using Contrastive Learning to Inject Domain-Knowledge Into Neural Networks for Recognizing Emotions.

Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Matching the Expert's Knowledge via a Counterfactual-Based Feature Importance Measure.

Antonio Luca Alfeo, Mario G. C. A. Cimino, Guido Gagliardi

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023

Fine-Grained Emotion Recognition Using Brain-Heart Interplay Measurements and eXplainable Convolutional Neural Networks.

Guido Gagliardi, Antonio Luca Alfeo, Vincenzo Catrambone, Mario G. C. A. Cimino, Maarten De Vos, Gaetano Valenza

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

2022

Automatic Feature Extraction for Bearings' Degradation Assessment using Minimally Pre-processed Time series and Multi-modal Feature Learning.

Antonio L. Alfeo, Mario G. C. A. Cimino, Guido Gagliardi

Proceedings of the 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, 2022

Improving an Ensemble of Neural Networks via a Novel Multi-class Decomposition Schema.

Antonio L. Alfeo, Mario G. C. A. Cimino, Guido Gagliardi

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022