Andrea Apicella

Publication Activity (10 Years)

Years Active: 2017-2025
Publications (10 Years): 45

Top Topics

Machine Learning

Convolutional Neural Networks

Linear Separability

Top Venues

Publications

Sabatina Criscuolo, Andrea Apicella, Roberto Prevete, Luca Longo
Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals. Comput. Stand. Interfaces 92 (2025)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Hidden classification layers: Enhancing linear separability between classes in neural networks layers. Pattern Recognit. Lett. 177 (2024)
Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Egidio De Benedetto, Marisa Pesola, Roberto Prevete
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI. IEEE J. Biomed. Health Informatics 28 (5) (2024)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning. CoRR (2024)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
Towards a general framework for improving the performance of classifiers using XAI methods. CoRR (2024)
Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Strategies to exploit XAI to improve classification systems. CoRR (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Dynamic Local Filters in Graph Convolutional Neural Networks. ICIAP (2) (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Adaptive filters in Graph Convolutional Neural Networks. Pattern Recognit. 144 (2023)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
An XAI-Based Masking Approach to Improve Classification Systems. BEWARE@AI*IA (2023)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes. CoRR (2023)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
SHAP-based Explanations to Improve Classification Systems. XAI.it@AI*IA (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
On the effects of data normalization for domain adaptation on EEG data. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Andrea Apicella, Pasquale Arpaia, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete
Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces. IEEE Access 11 (2023)
Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Egidio De Benedetto, Marisa Pesola, Roberto Prevete, Ersilia Vallefuoco
Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning. IEEE Access 11 (2023)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Roberto Prevete
Toward the Improvement of Probabilistic Classifiers Using Ontologies. MetroXRAINE (2023)
Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Strategies to Exploit XAI to Improve Classification Systems. xAI (1) (2023)
Andrea Apicella, Pasquale Arpaia, Giovanni D'Errico, Davide Marocco, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete
Machine Learning Strategies to Improve Generalization in EEG-based Emotion Assessment: \\a Systematic Review. CoRR (2022)
Andrea Apicella, Pasquale Arpaia, Antonio Esposito, Giovanna Mastrati, Nicola Moccaldi
Metrological foundations of emotional valence measurement through an EEG-based system. I2MTC (2022)
Andrea Apicella, Pasquale Arpaia, Paolo De Blasiis, Anna Della Calce, Allegra Fullin, Ludovica Gargiulo, Luigi Maffei, Francesca Mancino, Nicola Moccaldi, Andrea Pollastro, Ersilia Vallefuoco
EEG-based system for Executive Function fatigue detection. MetroXRAINE (2022)
Andrea Apicella, Pasquale Arpaia, Andrea Cataldo, Giovanni D'Errico, Davide Marocco, Giovanna Mastrati, Nicola Moccaldi, Andrea Pollastro, Bernadette Ricciardi, Ersilia Vallefuoco
Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device. MetroXRAINE (2022)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Toward the application of XAI methods in EEG-based systems. CoRR (2022)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems. Knowl. Based Syst. 255 (2022)
Leopoldo Angrisani, Andrea Apicella, Pasquale Arpaia, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete
A ML-based Approach to Enhance Metrological Performance of Wearable Brain-Computer Interfaces. I2MTC (2022)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. CoRR (2022)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
XAI Approach for Addressing the Dataset Shift Problem: BCI as a Case Study (short paper). BEWARE@AI*IA (2022)
Andrea Apicella, Pasquale Arpaia, Andrea Cataldo, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete
Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces. MeMeA (2022)
Andrea Apicella, Pasquale Arpaia, Francesco Isgrò, Giovanna Mastrati, Nicola Moccaldi
A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels. IEEE Access 10 (2022)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Toward the Application of XAI Methods in EEG-based Systems. XAI.it@AI*IA (2022)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A general approach for Explanations in terms of Middle Level Features. CoRR (2021)
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
A survey on modern trainable activation functions. Neural Networks 138 (2021)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Dynamic Filters in Graph Convolutional Neural Networks. CoRR (2021)
Andrea Apicella, Pasquale Arpaia, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete
Preliminary validation of a measurement system for emotion recognition. MeMeA (2020)
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
A survey on modern trainable activation functions. CoRR (2020)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
A general approach to compute the relevance of middle-level input features. CoRR (2020)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
A General Approach to Compute the Relevance of Middle-Level Input Features. ICPR Workshops (3) (2020)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods. Int. J. Neural Syst. 30 (8) (2020)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri
Sparse Dictionaries for the Explanation of Classification Systems. PIE@CAiSE (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini
Explaining classification systems using sparse dictionaries. ESANN (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A simple and efficient architecture for trainable activation functions. CoRR (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini
Contrastive Explanations to Classification Systems Using Sparse Dictionaries. ICIAP (1) (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A simple and efficient architecture for trainable activation functions. Neurocomputing 370 (2019)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli
Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification. Inf. 9 (10) (2018)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli
Exploiting Context Information for Image Description. ICIAP (1) (2017)
Andrea Apicella, Francesco Isgrò, Daniel Riccio
Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution. ICIAP (1) (2017)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli
Integrating a Priori Probabilistic Knowledge into Classification for Image Description. WETICE (2017)