| 2024 | DIS | Improving the Performance of Already Trained Classifiers Through an Automatic Explanation-Based Learning Approach. | Andrea Apicella, Salvatore Giugliano, Francesco Isgr, Roberto Prevete |
| 2023 | ICIAP | Dynamic Local Filters in Graph Convolutional Neural Networks. | Andrea Apicella, Francesco Isgr, Andrea Pollastro, Roberto Prevete |
| 2020 | ICPR | A General Approach to Compute the Relevance of Middle-Level Input Features. | Andrea Apicella, Salvatore Giugliano, Francesco Isgr, Roberto Prevete |
| 2020 | ICPR | Deep Neural Networks for Real-Time Remote Fall Detection. | Andrea Apicella, Lauro Snidaro |
| 2019 | CaiSE | Sparse Dictionaries for the Explanation of Classification Systems. | Andrea Apicella, Francesco Isgr, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri |
| 2019 | ESANN | Explaining classification systems using sparse dictionaries. | Andrea Apicella, Francesco Isgr, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini |
| 2019 | ICIAP | Contrastive Explanations to Classification Systems Using Sparse Dictionaries. | Andrea Apicella, Francesco Isgr, Roberto Prevete, Guglielmo Tamburrini |
| 2017 | ICIAP | Exploiting Context Information for Image Description. | Andrea Apicella, Anna Corazza, Francesco Isgr, Giuseppe Vettigli |
| 2017 | ICIAP | Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution. | Andrea Apicella, Francesco Isgr, Daniel Riccio |
| 2017 | WETICE | Integrating a Priori Probabilistic Knowledge into Classification for Image Description. | Andrea Apicella, Anna Corazza, Francesco Isgr, Giuseppe Vettigli |