| A survey on modern trainable activation functions A Apicella, F Donnarumma, F Isgrò, R Prevete Neural Networks, 2021 | 70 | 2021 |
| A simple and efficient architecture for trainable activation functions A Apicella, F Isgrò, R Prevete Neurocomputing 370, 1-15, 2019 | 21 | 2019 |
| High-wearable EEG-based distraction detection in motor rehabilitation A Apicella, P Arpaia, M Frosolone, N Moccaldi Scientific Reports 11 (1), 1-9, 2021 | 13 | 2021 |
| 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 | 12 | 2020 |
| 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 | 7 | 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 | 6 | 2017 |
| 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 | 5 | 2021 |
| Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification A Apicella, A Corazza, F Isgrò, G Vettigli Information 9 (10), 252, 2018 | 5 | 2018 |
| 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 | 4 | 2021 |
| 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 | 4 | 2019 |
| 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 | 3 | 2017 |
| 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 | 2 | 2022 |
| 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 | 2 | 2020 |
| Exploiting context information for image description A Apicella, A Corazza, F Isgrò, G Vettigli International Conference on Image Analysis and Processing, 320-331, 2017 | 2 | 2017 |
| 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 | 1 | 2022 |
| A general approach for Explanations in terms of Middle Level Features A Apicella, F Isgrò, R Prevete arXiv preprint arXiv:2106.05037, 2021 | 1 | 2021 |
| Dynamic Filters in Graph Convolutional Neural Networks A Apicella, F Isgrò, A Pollastro, R Prevete arXiv preprint arXiv:2105.10377, 2021 | 1 | 2021 |
| High-wearable EEG-Based Detection of Emotional Valence for Scientific Measurement of Emotions A Apicella, P Arpaia, G Mastrati, N Moccaldi | 1 | 2021 |
| 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 | 1 | 2018 |
Francesco IsgròAssociate Professor, Università degli Studi di Napoli Federico IIVerified email at unina.it
