Search Results - "Pollastro, Andrea"

EEG-based measurement system for monitoring student engagement in learning 4.0 by Apicella, Andrea, Arpaia, Pasquale, Frosolone, Mirco, Improta, Giovanni, Moccaldi, Nicola, Pollastro, Andrea

“…A wearable system for the personalized EEG-based detection of engagement in learning 4.0 is proposed. In particular, the effectiveness of the proposed solution…”
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Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine by Pollastro, Andrea, Testa, Giusiana, Bilotta, Antonio, Prevete, Roberto

“…In recent years, Artificial Neural Networks (ANNs) have been introduced in Structural Health Monitoring (SHM) systems. A semi-supervised method with a…”
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Application of deep learning methods for beam size control during user operation at the Advanced Light Source by Hellert, Thorsten, Ford, Tynan, Leemann, Simon C., Nishimura, Hiroshi, Venturini, Marco, Pollastro, Andrea

“…Past research at the Advanced Light Source (ALS) provided a proof-of-principle demonstration that deep learning methods could be effectively employed to…”
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Adaptive filters in Graph Convolutional Neural Networks by Apicella, Andrea, Isgrò, Francesco, Pollastro, Andrea, Prevete, Roberto

“…Over the last few years, the availability of an increasing data generated from non-Euclidean domains, which are usually represented as graphs with complex…”
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On the effects of data normalization for domain adaptation on EEG data by Apicella, Andrea, Isgrò, Francesco, Pollastro, Andrea, Prevete, Roberto

“…In Machine Learning (ML), a well-known problem is the Dataset Shift problem where the data in the training and test sets can follow different probability…”
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PhysBERT: A text embedding model for physics scientific literature by Hellert, Thorsten, Montenegro, João, Pollastro, Andrea

“…The specialized language and complex concepts in physics pose significant challenges for information extraction through Natural Language Processing (NLP)…”
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Dynamic identification methods and artificial intelligence algorithms for damage detection of masonry infills by De Angelis, Alessandra, Bilotta, Antonio, Pecce, Maria Rosaria, Pollastro, Andrea, Prevete, Roberto

“…The failure of non-structural components after an earthquake is among the most expensive earthquake-incurred damage, and may also have life-threatening…”
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Electroencephalography correlates of fear of heights in a virtual reality environment by Apicella, Andrea, Barbato, Simone, Barradas Chacόn, Luis Alberto, D'Errico, Giovanni, De Paolis, Lucio Tommaso, Maffei, Luigi, Massaro, Patrizia, Mastrati, Giovanna, Moccaldi, Nicola, Pollastro, Andrea, Wriessenegger, Selina Christin

“…An electroencephalography (EEG)-based classification system of three levels of fear of heights is proposed. A virtual reality (VR) scenario representing a…”
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PhysBERT: A Text Embedding Model for Physics Scientific Literature by Hellert, Thorsten, Montenegro, João, Pollastro, Andrea

“…The specialized language and complex concepts in physics pose significant challenges for information extraction through Natural Language Processing (NLP)…”
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SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder by Pollastro, Andrea, Isgrò, Francesco, Prevete, Roberto

“…Over the past few decades, electroencephalography (EEG) monitoring has become a pivotal tool for diagnosing neurological disorders, particularly for detecting…”
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Adaptive Filters in Graph Convolutional Neural Networks by Apicella, Andrea, Isgrò, Francesco, Pollastro, Andrea, Prevete, Roberto

“…Over the last few years, we have witnessed the availability of an increasing data generated from non-Euclidean domains, which are usually represented as graphs…”
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Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine by Pollastro, Andrea, Testa, Giusiana, Bilotta, Antonio, Prevete, Roberto

“…IEEE Access, vol. 11, pp. 67098-67112, 2023 In recent years, Artificial Neural Networks (ANNs) have been introduced in Structural Health Monitoring (SHM)…”
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On The Effects Of Data Normalisation For Domain Adaptation On EEG Data by Apicella, Andrea, Isgrò, Francesco, Pollastro, Andrea, Prevete, Roberto

“…In the Machine Learning (ML) literature, a well-known problem is the Dataset Shift problem where, differently from the ML standard hypothesis, the data in the…”
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Toward the application of XAI methods in EEG-based systems by Apicella, Andrea, Isgrò, Francesco, Pollastro, Andrea, Prevete, Roberto

“…3rd Italian Workshop on Explainable Artificial Intelligence, XAI.it 2022; Conference date: 28 November 2022 through 3 December 2022 An interesting case of the…”
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Strategies to exploit XAI to improve classification systems by Apicella, Andrea, Di Lorenzo, Luca, Isgrò, Francesco, Pollastro, Andrea, Prevete, Roberto

“…Explainable Artificial Intelligence (XAI) aims to provide insights into the decision-making process of AI models, allowing users to understand their results…”
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Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device by Apicella, Andrea, Arpaia, Pasquale, Cataldo, Andrea, D'Errico, Giovanni, Marocco, Davide, Mastrati, Giovanna, Moccaldi, Nicola, Pollastro, Andrea, Ricciardi, Bernadette, Vallefuoco, Ersilia

“…An electroencephalography-based detection system of emotional states exploiting few dry channels is proposed. The circumplex model of affect was the reference…”
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EEG-based system for Executive Function fatigue detection by Apicella, Andrea, Arpaia, Pasquale, De Blasiis, Paolo, Calce, Anna Della, Fullin, Allegra, Gargiulo, Ludovica, Maffei, Luigi, Mancino, Francesca, Moccaldi, Nicola, Pollastro, Andrea, Vallefuoco, Ersilia

“…An experimental campaign to prove the feasibility of electroencephalography (EEG)-based detection of the level of Executive Function (EF) fatigue is carried…”
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