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Andrea Apicella
Andrea Apicella
PhD, Federico II University
在 unina.it 的电子邮件经过验证 - 首页
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A survey on modern trainable activation functions
A Apicella, F Donnarumma, F Isgrò, R Prevete
Neural Networks, 2021
3902021
EEG-based measurement system for monitoring student engagement in learning 4.0
A Apicella, P Arpaia, M Frosolone, G Improta, N Moccaldi, A Pollastro
Scientific Reports 12 (1), 5857, 2022
622022
EEG-based detection of emotional valence towards a reproducible measurement of emotions
A Apicella, P Arpaia, G Mastrati, N Moccaldi
Scientific Reports 11 (1), 21615, 2021
492021
A simple and efficient architecture for trainable activation functions
A Apicella, F Isgrò, R Prevete
Neurocomputing 370, 1-15, 2019
432019
High-wearable EEG-based distraction detection in motor rehabilitation
A Apicella, P Arpaia, M Frosolone, N Moccaldi
Scientific Reports 11 (1), 5297, 2021
422021
Enhancement of SSVEPs Classification in BCI-Based Wearable Instrumentation Through Machine Learning Techniques
A Apicella, P Arpaia, E De Benedetto, N Donato, L Duraccio, S Giugliano, ...
IEEE Sensors Journal 22 (9), 9087-9094, 2022
332022
On the effects of data normalization for domain adaptation on EEG data
A Apicella, F Isgrò, A Pollastro, R Prevete
Engineering Applications of Artificial Intelligence 123, 106205, 2023
222023
A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels
A Apicella, P Arpaia, F Isgrò, G Mastrati, N Moccaldi
IEEE Access 10, 117411-117428, 2022
222022
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods
A Apicella, F Isgrò, R Prevete, G Tamburrini
International Journal of Neural Systems 30 (08), 2050040, 2020
192020
Contrastive explanations to classification systems using sparse dictionaries
A Apicella, F Isgrò, R Prevete, G Tamburrini
Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019
172019
Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
G Annuzzi, A Apicella, P Arpaia, L Bozzetto, S Criscuolo, E De Benedetto, ...
IEEE Access 11, 17104-17115, 2023
162023
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems
A Apicella, S Giugliano, F Isgrò, R Prevete
Knowledge-Based Systems, 109725, 2022
152022
Toward the application of XAI methods in EEG-based systems
A Apicella, F Isgrò, A Pollastro, R Prevete
XAI.it 2022 - Italian Workshop on Explainable Artificial Intelligence (AIxIA), 2022
152022
Explaining classification systems using sparse dictionaries.
A Apicella, F Isgrò, R Prevete, A Sorrentino, G Tamburrini
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2019
152019
Adaptive filters in graph convolutional neural networks
A Apicella, F Isgrò, A Pollastro, R Prevete
Pattern Recognition 144, 109867, 2023
10*2023
Integrating a priori probabilistic knowledge into classification for image description
A Apicella, A Corazza, F Isgro, G Vettigli
2017 IEEE 26th International Conference on Enabling Technologies …, 2017
92017
Electroencephalography correlates of fear of heights in a virtual reality environment
A Apicella, S Barbato, LAB Chacόn, G D'Errico, LT De Paolis, L Maffei, ...
Acta IMEKO 12 (2), 1-7, 2023
82023
Employment of Domain Adaptation techniques in SSVEP-based Brain-Computer Interfaces
A Apicella, P Arpaia, E De Benedetto, N Donato, L Duraccio, S Giugliano, ...
IEEE Access, 2023
82023
Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification
A Apicella, A Corazza, F Isgrò, G Vettigli
Information 9 (10), 252, 2018
82018
Sparse dictionaries for the explanation of classification systems
A Apicella, F Isgro, R Prevete, G Tamburrini, A Vietri
PIE, 009, 2019
7*2019
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