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Andrea Apicella
Andrea Apicella
PhD, Federico II University
Verified email at unina.it
Title
Cited by
Cited by
Year
A survey on modern trainable activation functions
A Apicella, F Donnarumma, F Isgrò, R Prevete
Neural Networks, 2021
1752021
High-wearable EEG-based distraction detection in motor rehabilitation
A Apicella, P Arpaia, M Frosolone, N Moccaldi
Scientific Reports 11 (1), 5297, 2021
292021
A simple and efficient architecture for trainable activation functions
A Apicella, F Isgrò, R Prevete
Neurocomputing 370, 1-15, 2019
292019
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
262021
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
182022
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
172022
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
152020
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
122019
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
102019
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
82017
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
7*2022
Sparse dictionaries for the explanation of classification systems
A Apicella, F Isgro, R Prevete, G Tamburrini, A Vietri
PIE, 009, 2019
7*2019
Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification
A Apicella, A Corazza, F Isgrò, G Vettigli
Information 9 (10), 252, 2018
62018
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
42022
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
32022
High-wearable EEG-based transducer for engagement detection in pediatric rehabilitation
A Apicella, P Arpaia, S Giugliano, G Mastrati, N Moccaldi
Brain-Computer Interfaces, 1-11, 2021
32021
A general approach to compute the relevance of middle-level input features
A Apicella, S Giugliano, F Isgrò, R Prevete
Pattern Recognition. ICPR International Workshops and Challenges, pp 189-203, 2021
32021
Preliminary validation of a measurement system for emotion recognition
A Apicella, P Arpaia, G Mastrati, N Moccaldi, R Prevete
2020 IEEE International Symposium on Medical Measurements and Applications …, 2020
32020
Adaptive Filters in Graph Convolutional Neural Networks
A Apicella, F Isgro, A Pollastro, R Prevete
arXiv preprint arXiv:2105.10377, 2021
2*2021
Explanations in terms of Hierarchically organised Middle Level Features
A Apicella, S Giugliano, F Isgrò, R Prevete
XAI.it 2021 - Italian Workshop on Explainable Artificial Intelligence, 2021
22021
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