| A survey on modern trainable activation functions A Apicella, F Donnarumma, F Isgrò, R Prevete Neural Networks, 2021 | 175 | 2021 |
| High-wearable EEG-based distraction detection in motor rehabilitation A Apicella, P Arpaia, M Frosolone, N Moccaldi Scientific Reports 11 (1), 5297, 2021 | 29 | 2021 |
| A simple and efficient architecture for trainable activation functions A Apicella, F Isgrò, R Prevete Neurocomputing 370, 1-15, 2019 | 29 | 2019 |
| 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 | 26 | 2021 |
| 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 | 18 | 2022 |
| 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 | 17 | 2022 |
| 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 | 15 | 2020 |
| 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 | 12 | 2019 |
| 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 | 10 | 2019 |
| 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 | 8 | 2017 |
| 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 | 6 | 2018 |
| 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 | 4 | 2022 |
| 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 | 3 | 2022 |
| 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 | 3 | 2021 |
| 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 | 3 | 2021 |
| 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 | 3 | 2020 |
| 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 | 2 | 2021 |
Roberto PreveteAssistant Professor of Computer Science, DIETI, University of Naples Federico IIVerified email at unina.it
