Andrea Pollastro

Orcid: 0000-0003-4075-0757

According to our database1, Andrea Pollastro authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
PhysBERT: A Text Embedding Model for Physics Scientific Literature.
CoRR, 2024

SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder.
CoRR, 2024

2023
Adaptive filters in Graph Convolutional Neural Networks.
Pattern Recognit., December, 2023

On the effects of data normalization for domain adaptation on EEG data.
Eng. Appl. Artif. Intell., 2023

Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine.
IEEE Access, 2023

Strategies to Exploit XAI to Improve Classification Systems.
Proceedings of the Explainable Artificial Intelligence, 2023

Sinc-EEGNet for Improving Performance While Reducing Calibration of a Motor Imagery-Based BCI.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Dynamic Local Filters in Graph Convolutional Neural Networks.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

An XAI-Based Masking Approach to Improve Classification Systems.
Proceedings of the 2nd Workshop on Bias, 2023

2022
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data.
CoRR, 2022

Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

EEG-based system for Executive Function fatigue detection.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Toward the Application of XAI Methods in EEG-based Systems.
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

2021
Dynamic Filters in Graph Convolutional Neural Networks.
CoRR, 2021


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