Salvatore Giugliano

According to our database, Salvatore Giugliano authored at least 18 papers between 2020 and 2026.

Collaborative distances:

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

2026

IMPACTX: improving model performance by appropriately constraining the training with teacher explanations.

Andrea Apicella, Salvatore Giugliano, Francesco Isgró, Andrea Pollastro, Roberto Prevete

Artif. Intell. Rev., July, 2026

2025

IMPACTX: Improving Model Performance by Appropriately predicting CorrecT eXplanations.

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete

CoRR, February, 2025

Interpretable vs. Post-Hoc Explained Models for Digital Twin Applications in Clinical Forecasting: A Multiple Sclerosis Case Study.

Salvatore Giugliano, Ilaria Basile, Giovanna Sannino

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 29th International Conference KES-2025, 2025

Discovering Phenotype-Specific Clinical Markers in Multiple Sclerosis.

Salvatore Giugliano, Ilaria Basile, Giovanna Sannino

Proceedings of the IEEE Conference on Standards for Communications and Networking, 2025

2024

Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis.

Mirco Frosolone, Roberto Prevete, Lorenzo Ognibeni, Salvatore Giugliano, Andrea Apicella, Giovanni Pezzulo, Francesco Donnarumma

Sensors, September, 2024

Towards a general framework for improving the performance of classifiers using XAI methods.

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete

CoRR, 2024

Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals.

Sabatina Criscuolo, Salvatore Giugliano, Andrea Apicella, Francesco Donnarumma, Francesco Amato, Annarita Tedesco, Luca Longo

Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

Improving the Performance of Already Trained Classifiers Through an Automatic Explanation-Based Learning Approach.

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete

Proceedings of the Discovery Science - 27th International Conference, 2024

2023

Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces.

Andrea Apicella, Pasquale Arpaia, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete

IEEE Access, 2023

Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence.

Giovanni Annuzzi, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Salvatore Giugliano, Marisa Pesola

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

An XAI-Based Masking Approach to Improve Classification Systems.

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Andrea Pollastro, Roberto Prevete

Proceedings of the 2nd Workshop on Bias, 2023

SHAP-based Explanations to Improve Classification Systems.

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete

Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), 2023

2022

Machine Learning and XAI methods for improving EEG-based BCI classification systems.

Salvatore Giugliano

PhD thesis, 2022

Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems.

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete

Knowl. Based Syst., 2022

Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces.

Andrea Apicella, Pasquale Arpaia, Andrea Cataldo, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete

Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

A ML-based Approach to Enhance Metrological Performance of Wearable Brain-Computer Interfaces.

Leopoldo Angrisani, Andrea Apicella, Pasquale Arpaia, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

2021

Explanations in Terms of Hierarchically Organised Middle Level Features.

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete

Proceedings of the 2nd Italian Workshop on Explainable Artificial Intelligence co-located with 20th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2021), 2021

2020

A General Approach to Compute the Relevance of Middle-Level Input Features.

Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020