Research topics
Andrea Apicella's current research focuses on the following areas:
Signal processing of EEG signals for emotion recognition and attention monitoring using Artificial Intelligence methods.
eXplainable Artificial Intelligence (XAI) approaches to provide explanations for the outputs of Artificial Intelligence systems.
Design and development of Machine Learning systems for analyzing the impact of nutritional factors on glycemic index in Type 1 diabetic patients.
Design and development of Machine Learning systems for measuring the level of student engagement through the acquisition of electroencephalographic signals. This aims to create a learning platform that is as customizable and adaptable to the user as possible automatically.
Applications of Artificial Intelligence methods in biomedical fields.
Additionally, he has been involved in:
Research activities on Privacy-Preserving Data Mining (PPDM) techniques applied to clustering algorithms, commissioned by the Regional Information Communication Technology Center (CeRICT) SCRL within the H2020 Project: SPECIAL (Scalable, Policy-awarE Linked Data arChitecture for Privacy, trAnsparency and compLiance).
Mobile device security based on multi-biometric authentication protocols. The research topic addressed the issue of Person Re-identification, which involves verifying that the same individual appears in multiple distinct sequences of images (e.g., videos).
Design and implementation of an iris recognition system on the Android mobile platform for research activities within the PRIN Project - 2015 Call entitled "COSMOS – ContactlesS Multibiometric mObile System in the wild".
Collaborations
Currently, he is a researcher at the Department of Computer Science and Electrical Engineering at the University of Naples Federico II.
He is a member of the ARHeMLab (Augmented Reality for Health Monitoring Laboratory), based in Naples.
He is a member of the the AIPA Lab (Laboratory of Artificial Intelligence, Privacy & Applications), based in Naples.
Pubblications list
Journals:
Title: Domain Adaptation for Fear of Heights Classification in a VR Environment Based on EEG and ECG
Authors: A. Apicella, P. Arpaia, S. Barbato, G. D'errico, N. Moccaldi, E. Vallefuoco, S. Christin Wriessenegger
Journal: Information Systems Frontiers
Year: 2024
Title: Adaptive filters in Graph Convolutional Neural Networks
Authors: A. Apicella, F. Isgrò, A. Pollastro, R. Prevete
Journal: Pattern Recognition
Year: 2023
Title: Hidden classification layers: Enhancing linear separability between classes in neural networks layers
Authors: A. Apicella, F. Isgrò, R. Prevete
Journal: Pattern Recognition Letters
Year: 2023
Title: Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI
Authors:G. Annuzzi, A. Apicella, P. Arpaia, L. Bozzetto, S. Criscuolo, E. De Benedetto, M. Pesola, R. Prevete
Journal: IEEE Journal of Biomedical and Health Informatics
Year: 2023
Title: On the effects of data normalization for domain adaptation on EEG data
Authors: A. Apicella, F. Isgrò, A. Pollastro, R. Prevete
Journal: Engineering Applications of Artificial Intelligence
Year: 2023
Title: Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems
Authors: A. Apicella, S. Giugliano, F. Isgrò, R. Prevete
Journal: Knowledge-Based Systems
Year: 2022
Title: A survey on modern trainable activation functions
Authors: Apicella, A.; Donnarumma, F.; Isgrò, F.; Prevete, R.
Journal: Neural Networks
Year: 2021
Title: A simple and efficient architecture for trainable activation functions
Authors: Apicella, A.; Isgrò, F.; Prevete, R.
Journal: Neurocomputing
Year: 2019
Title: Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods
Authors: Apicella, A.; Isgrò, F.; Prevete, R.; Tamburrini, G.
Journal: International Journal of Neural Systems
Year: 2020
Title: Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces
Authors: A. Apicella, P. Arpaia, E.D. Benedetto, N. Donato, L. Duraccio, S. Giugliano, R. Prevete
Journal: IEEE Access
Year: 2023
Title: Enhancement of SSVEPs Classification in BCI-Based Wearable Instrumentation Through Machine Learning Techniques
Authors: A. Apicella, P. Arpaia, E. De Benedetto, N. Donato, L. Duraccio, S. Giugliano, R. Prevete
Journal: IEEE Sensors Journal
Year: 2022
Title: Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
Authors: G. Annuzzi, A. Apicella, P. Arpaia, L. Bozzetto, S. Criscuolo, E. De Benedetto, M. Pesola, R. Prevete, Ersilia Vallefuoco
Journal: IEEE Access
Year: 2023
Title: A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels
Authors: Apicella, A.; Arpaia, P.; Isgro, F.; Mastrati, G.; Moccaldi, N.
Journal: IEEE Access
Year: 2022
Title: EEG-based measurement system for monitoring student engagement in learning 4.0
Authors: A. Apicella, P. Arpaia, M. Frosolone, G. Improta, N. Moccaldi, A. Pollastro
Journal: Scientific Reports
Year: 2022
Title: High-wearable EEG-based distraction detection in motor rehabilitation
Authors: Apicella, A.; Arpaia, P.; Frosolone, M.; Moccaldi, N.
Journal: Scientific Reports
Year: 2021
Title: EEG-based detection of emotional valence towards a reproducible measurement of emotions
Authors: Apicella, A.; Arpaia, P.; Mastrati, G.; Moccaldi, N.
Journal: Scientific Reports
Year: 2021
Title: High-wearable EEG-based transducer for engagement detection in pediatric rehabilitation
Authors: Apicella, A.; Arpaia, P.; Giugliano, S.; Mastrati, G.; Moccaldi, N.
Journal: Brain-Computer Interfaces
Year: 2022
Title: Electroencephalography correlates of fear of heights in a virtual reality environment
Authors: A. Apicella, S. Barbato, L.A.B. Chacón, G. D'Errico, L.T. De Paolis, L. Maffei, P. Massaro, G. Mastrati, N. Moccaldi, A. Pollastro, S.C. Wriessenegger
Journal: Acta IMEKO
Year: 2023
Title: Integration of context information through probabilistic ontological knowledge into image classification
Authors: Apicella, A.; Corazza, A.; Isgrò, F.; Vettigli, G.
Journal: Information (Switzerland)
Year: 2018
Conferences:
Title: SHAP-based explanations to improve classification systems
Authors: A Apicella, S Giugliano, F Isgrò, R Prevete
Conference: XAI.it@AI*IA
year: 2023
Title: An XAI-based masking approach to improve classification systems
Authors: A Apicella, S Giugliano, F Isgrò, A Pollastro, R Prevete
Conference: BEWARE@AI*IA 2023year: 2023
Title: Strategies to exploit XAI to improve classification systems
Authors: A. Apicella, L. Di Lorenzo, F. Isgrò, A. Pollastro, R. Prevete
Conference: Explainable Artificial Intelligence - First World Conference, xAI 2023
Year: 2023
Title: Dynamic Local Filters in Graph Convolutional Neural Networks
Authors: A. Apicella, F. Isgrò, A. Pollastro, R. Prevete
Conference: International Conference on Image Analysis and Processing (ICIAP)
Year: 2023
Title: Toward the Improvement of Probabilistic Classifiers Using Ontologies
Authors: A. Apicella, A. Corazza, F. Isgrò, R. Prevete
Conference: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Year: 2023
Title: Explanations in terms of Hierarchically organised Middle Level Features
Authors: Apicella, A.; Giugliano, S.; Isgró, F.; Prevete, R.
Conference: CEUR Workshop Proceedings
Year: 2021
Title: Metrological foundations of emotional valence measurement through an EEG-based system
Authors: Apicella, A.; Arpaia, P.; Esposito, A.; Mastrati, G.; Moccaldi, N.
Conference: IEEE Instrumentation and Measurement Technology Conference
Year: 2022
Title: A ML-based Approach to Enhance Metrological Performance of Wearable Brain-Computer Interfaces
Authors: Angrisani, L.; Apicella, A.; Arpaia, P.; De Benedetto, E.; Donato, N.; Duraccio, L.; Giugliano, S.; Prevete, R.
Conference: Conference Record - IEEE Instrumentation and Measurement Technology Conference
Year: 2022
Title: Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces
Authors: Apicella, A.; Arpaia, P.; Cataldo, A.; De Benedetto, E.; Donato, N.; Duraccio, L.; Giugliano, S.; Prevete, R.
Conference: 2022 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2022 - Conference Proceedings
Year: 2022
Title: Toward the application of XAI methods in EEG-based systems
Authors: Apicella, A.; Isgrò, F.; Pollastro, A.; Prevete, R.
Conference: CEUR Workshop Proceedings
Year: 2022
Title: Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device
Authors: Apicella, A.; Arpaia, P.; Cataldo, A.; D'Errico, G.; Marocco, D.; Mastrati, G.; Moccaldi, N.; Pollastro, A.; Ricciardi, B.; Vallefuoco, E.
Conference: 2022 IEEE International Workshop on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022 - Proceedings
Year: 2022
Title: EEG-based system for Executive Function fatigue detection
Authors: Apicella, A.; Arpaia, P.; De Blasiis, P.; Calce, A.D.; Fullin, A.; Gargiulo, L.; Maffei, L.; Mancino, F.; Moccaldi, N.; Pollastro, A.; Vallefuoco, E.
Conference: 2022 IEEE International Workshop on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering, MetroXRAINE 2022 - Proceedings
Year: 2022
Title: Instrumentation for EEG-based monitoring of the executive functions in a dual-task framework
Authors: L. Angrisani, A. Apicella, P. Arpaia, A. Cataldo, A.D. Calce, A. Fullin, L. Gargiulo, L. Maffei, N. Moccaldi, A. Pollastro
Conference: 25th IMEKO TC-4 International Symposium on Measurement of Electrical Quantities, IMEKO TC-4 2022 and 23rd International Workshop on ADC and DAC Modelling and Testing, IWADC 2022
Year: 2022
Title: XAI approach for addressing the dataset shift problem: BCI as a case study
Authors: A. Apicella, F. Isgrò, R. Prevete
Conference: CEUR Workshop Proceedings
Year: 2022
Title: A General Approach to Compute the Relevance of Middle-Level Input Features
Authors: Apicella, A.; Giugliano, S.; Isgrò, F.; Prevete, R.
Conference: Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021.
Year: 2021
Title: EEG-based attention assessment in motor-rehabilitation
Authors: Apicella, A.; Arpaia, P.; Frosolone, M.; Improta, G.; Isgrò, F.; Moccaldi, N.; Natalizio, A.
Conference: 24th IMEKO TC4 International Symposium and 22nd International Workshop on ADC and DAC Modelling and Testing
Year: 2020
Title: Preliminary validation of a measurement system for emotion recognition
Authors: Apicella, A.; Arpaia, P.; Mastrati, G.; Moccaldi, N.; Prevete, R.
Conference: IEEE Medical Measurements and Applications, MeMeA 2020 - Conference Proceedings
Year: 2020
Title: Contrastive explanations to classification systems using sparse dictionaries
Authors: Apicella, A.; Isgrò, F.; Prevete, R.; Tamburrini, G.
Conference: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Year: 2019
Title: Sparse dictionaries for the explanation of classification systems
Authors: Apicella, A.; Isgrò, F.; Prevete, R.; Tamburrini, G.; Vietri, A.
Conference: PIE 2019
Year: 2019
Title: Explaining classification systems using sparse dictionaries
Authors: Apicella, A.; Isgrò, F.; Prevete, R.; Sorrentino, A.; Tamburrini, G.
Conference: ESANN 2019 - 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Year: 2019
Title: Exploiting context information for image description
Authors: Apicella, A.; Corazza, A.; Isgrò, F.; Vettigli, G.
Conference: Image Analysis and Processing (ICIAP)
Year: 2017
Title: Improving face recognition in low quality video sequences: Single frame vs multi-frame super-resolution
Authors: Apicella, A.; Isgrò, F.; Riccio, D.
Conference: Image Analysis and Processing (ICIAP)
Year: 2017
Title: Integrating a priori probabilistic knowledge into classification for image description
Authors: Apicella, A.; Corazza, A.; Isgrò, F.; Vettigli, G.
Conference: IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017
Year: 2017