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ORCIDSalvatore Giugliano
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2020 – today
- 2024
[j3]Mirco Frosolone
, Roberto Prevete, Lorenzo Ognibeni, Salvatore Giugliano, Andrea Apicella, Giovanni Pezzulo, Francesco Donnarumma:
Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis. Sensors 24(18): 6110 (2024)- [c7]Sabatina Criscuolo, Salvatore Giugliano, Andrea Apicella, Francesco Donnarumma, Francesco Amato, Annarita Tedesco, Luca Longo:
Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals. RTSI 2024: 414-419 - [i2]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
Towards a general framework for improving the performance of classifiers using XAI methods. CoRR abs/2403.10373 (2024) - 2023
- [j2]Andrea Apicella, Pasquale Arpaia, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete:
Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces. IEEE Access 11: 36147-36157 (2023) - [c6]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
SHAP-based Explanations to Improve Classification Systems. XAI.it@AI*IA 2023: 76-86 - [c5]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
An XAI-Based Masking Approach to Improve Classification Systems. BEWARE@AI*IA 2023: 79-83 - [c4]Giovanni Annuzzi, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Salvatore Giugliano, Marisa Pesola:
Assessing the Features on Blood Glucose Level Prediction in Type 1 Diabetes Patients Through Explainable Artificial Intelligence. MetroXRAINE 2023: 278-283 - 2022
- [j1]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems. Knowl. Based Syst. 255: 109725 (2022) - [c3]Leopoldo Angrisani, Andrea Apicella, Pasquale Arpaia, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete:
A ML-based Approach to Enhance Metrological Performance of Wearable Brain-Computer Interfaces. I2MTC 2022: 1-5 - [c2]Andrea Apicella, Pasquale Arpaia, Andrea Cataldo, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete:
Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces. MeMeA 2022: 1-5 - 2020
- [c1]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
A General Approach to Compute the Relevance of Middle-Level Input Features. ICPR Workshops (3) 2020: 189-203 - [i1]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
A general approach to compute the relevance of middle-level input features. CoRR abs/2010.08639 (2020)
Coauthor Index
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