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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
702021
A simple and efficient architecture for trainable activation functions
A Apicella, F Isgrò, R Prevete
Neurocomputing 370, 1-15, 2019
212019
High-wearable EEG-based distraction detection in motor rehabilitation
A Apicella, P Arpaia, M Frosolone, N Moccaldi
Scientific Reports 11 (1), 1-9, 2021
132021
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
122020
Contrastive Explanations to Classification Systems Using Sparse Dictionaries
A Apicella, F Isgrò, R Prevete, G Tamburrini
International Conference on Image Analysis and Processing, 207-218, 2019
72019
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
62017
EEG-based detection of emotional valence towards a reproducible measurement of emotions
A Apicella, P Arpaia, G Mastrati, N Moccaldi
Scientific Reports 11 (1), 1-16, 2021
52021
Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification
A Apicella, A Corazza, F Isgrò, G Vettigli
Information 9 (10), 252, 2018
52018
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
42021
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
42019
Sparse dictionaries for the explanation of classification systems
A Apicella, F Isgro, R Prevete, G Tamburrini, A Vietri
PIE, 009, 2019
3*2019
Improving face recognition in low quality video sequences: single frame vs multi-frame super-resolution
A Apicella, F Isgrò, D Riccio
International Conference on Image Analysis and Processing, 637-647, 2017
32017
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), 1-13, 2022
22022
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
22020
Exploiting context information for image description
A Apicella, A Corazza, F Isgrò, G Vettigli
International Conference on Image Analysis and Processing, 320-331, 2017
22017
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
12022
A general approach for Explanations in terms of Middle Level Features
A Apicella, F Isgrò, R Prevete
arXiv preprint arXiv:2106.05037, 2021
12021
Dynamic Filters in Graph Convolutional Neural Networks
A Apicella, F Isgrò, A Pollastro, R Prevete
arXiv preprint arXiv:2105.10377, 2021
12021
High-wearable EEG-Based Detection of Emotional Valence for Scientific Measurement of Emotions
A Apicella, P Arpaia, G Mastrati, N Moccaldi
12021
Explaining the behavior of learning classification systems: a black-box approach
R Prevete, A Apicella, F Isgrò, G Tamburrini
15th Conference of the Italian Association for Cognitive Sciences, 2018
12018
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