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Andrea Pollastro
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2020 – today
- 2024
- [i7]Andrea Pollastro, Francesco Isgrò, Roberto Prevete:
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder. CoRR abs/2406.17537 (2024) - [i6]Thorsten Hellert, João Montenegro, Andrea Pollastro:
PhysBERT: A Text Embedding Model for Physics Scientific Literature. CoRR abs/2408.09574 (2024) - 2023
- [j3]Andrea Pollastro, Giusiana Testa, Antonio Bilotta, Roberto Prevete:
Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine. IEEE Access 11: 67098-67112 (2023) - [j2]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
On the effects of data normalization for domain adaptation on EEG data. Eng. Appl. Artif. Intell. 123(Part A): 106205 (2023) - [j1]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Adaptive filters in Graph Convolutional Neural Networks. Pattern Recognit. 144: 109867 (2023) - [c7]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 - [c6]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Dynamic Local Filters in Graph Convolutional Neural Networks. ICIAP (2) 2023: 406-417 - [c5]Pasquale Arpaia, Elisa Bertone, Antonio Esposito, Angela Natalizio, Marco Parvis, Alessandra Laura Giulia Pedrocchi, Andrea Pollastro:
Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI. MetroXRAINE 2023: 1063-1068 - [c4]Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Strategies to Exploit XAI to Improve Classification Systems. xAI (1) 2023: 147-159 - [i5]Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Strategies to exploit XAI to improve classification systems. CoRR abs/2306.05801 (2023) - 2022
- [c3]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Toward the Application of XAI Methods in EEG-based Systems. XAI.it@AI*IA 2022: 1-15 - [c2]Andrea Apicella, Pasquale Arpaia, Paolo De Blasiis, Anna Della Calce, Allegra Fullin, Ludovica Gargiulo, Luigi Maffei, Francesca Mancino, Nicola Moccaldi, Andrea Pollastro, Ersilia Vallefuoco:
EEG-based system for Executive Function fatigue detection. MetroXRAINE 2022: 656-660 - [c1]Andrea Apicella, Pasquale Arpaia, Andrea Cataldo, Giovanni D'Errico, Davide Marocco, Giovanna Mastrati, Nicola Moccaldi, Andrea Pollastro, Bernadette Ricciardi, Ersilia Vallefuoco:
Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device. MetroXRAINE 2022: 661-666 - [i4]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. CoRR abs/2210.01081 (2022) - [i3]Andrea Pollastro, Giusiana Testa, Antonio Bilotta, Roberto Prevete:
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine. CoRR abs/2210.05674 (2022) - [i2]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Toward the application of XAI methods in EEG-based systems. CoRR abs/2210.06554 (2022) - 2021
- [i1]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Dynamic Filters in Graph Convolutional Neural Networks. CoRR abs/2105.10377 (2021)
Coauthor Index
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last updated on 2024-09-30 00:08 CEST by the dblp team
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