Andrea Apicella

58 papers B 1C 1Journal 34Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Don't stop me now: Rethinking Validation Criteria for Model Parameter Selection. CoRR Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2026	J	`jnl`	Energy consumption assessment in embedded AI: Metrological improvements of benchmarks for edge devices. Comput. Stand. Interfaces Andrea Apicella, Pasquale Arpaia, Luigi Capobianco, Francesco Caputo, Antonella Cioffi, Antonio Esposito, Francesco Isgrò, Rosanna Manzo, Nicola Moccaldi, Danilo Pau, Ettore Toscano
2025	J	`jnl`	Cyber-Attacks and Countermeasures at the Perception Layer for Electromedical Devices in Community-Based Care: A Systematic Review. IEEE Access Rosanna Manzo, Andrea Apicella, Pasquale Arpaia, Francesco Caputo, Antonella Cioffi, Antonio Esposito, Francesco Isgrò, Nicola Moccaldi, Ettore Toscano
2025	J	`jnl`	Domain Adaptation for Fear of Heights Classification in a VR Environment Based on EEG and ECG. Inf. Syst. Frontiers Andrea Apicella, Pasquale Arpaia, Simone Barbato, Giovanni D'Errico, Giovanna Mastrati, Nicola Moccaldi, Ersilia Vallefuoco, Selina Christin Wriessnegger
2025	J	`jnl`	Don't push the button! Exploring data leakage risks in machine learning and transfer learning. Artif. Intell. Rev. Andrea Apicella, Francesco Isgrò, Roberto Prevete
2025	J	`jnl`	IMPACTX: Improving Model Performance by Appropriately predicting CorrecT eXplanations. CoRR Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
2025	J	`jnl`	Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals. Comput. Stand. Interfaces Sabatina Criscuolo, Andrea Apicella, Roberto Prevete, Luca Longo
2025	J	`jnl`	Real-Time Detection of Skin-Electrode Adhesion Based on Embedded Neural Networks for Bioimpedance Spectroscopy. IEEE Access Rosanna Manzo, Andrea Apicella, Pasquale Arpaia, Francesco Caputo, Nicola Moccaldi
2024	—	`conf`	Advancing Healthcare Through AI: Innovations in Monitoring and Diagnostic Technologies at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab). Ital-IA Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Umberto Bracale, Egidio De Benedetto, Paolo De Blasiis, Antonio Esposito, Francesco Isgrò, Giacomo Lus, Nicola Moccaldi, Roberto Peltrini, Roberto Prevete, Simona Raim
2024	J	`jnl`	Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning. CoRR Andrea Apicella, Francesco Isgrò, Roberto Prevete
2024	J	`jnl`	Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis. Sensors Mirco Frosolone, Roberto Prevete, Lorenzo Ognibeni, Salvatore Giugliano, Andrea Apicella, Giovanni Pezzulo, Francesco Donnarumma
2024	J	`jnl`	Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI. IEEE J. Biomed. Health Informatics Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Egidio De Benedetto, Marisa Pesola, Roberto Prevete
2024	—	`conf`	Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals. RTSI Sabatina Criscuolo, Salvatore Giugliano, Andrea Apicella, Francesco Donnarumma, Francesco Amato, Annarita Tedesco, Luca Longo
2024	J	`jnl`	Hidden classification layers: Enhancing linear separability between classes in neural networks layers. Pattern Recognit. Lett. Andrea Apicella, Francesco Isgrò, Roberto Prevete
2024	—	`conf`	Improving the Performance of Already Trained Classifiers Through an Automatic Explanation-Based Learning Approach. DS (2) Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
2024	J	`jnl`	Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods. Neurocomputing Andrea Apicella, Pasquale Arpaia, Giovanni D'Errico, Davide Marocco, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete
2024	J	`jnl`	Towards a general framework for improving the performance of classifiers using XAI methods. CoRR Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
2023	J	`jnl`	Adaptive filters in Graph Convolutional Neural Networks. Pattern Recognit. Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2023	—	`conf`	An XAI-Based Masking Approach to Improve Classification Systems. BEWARE@AI*IA Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2023	—	`conf`	Dynamic Local Filters in Graph Convolutional Neural Networks. ICIAP (2) Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2023	J	`jnl`	Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces. IEEE Access Andrea Apicella, Pasquale Arpaia, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete
2023	J	`jnl`	Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes. CoRR Andrea Apicella, Francesco Isgrò, Roberto Prevete
2023	J	`jnl`	Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning. IEEE Access Giovanni Annuzzi, Andrea Apicella, Pasquale Arpaia, Lutgarda Bozzetto, Sabatina Criscuolo, Egidio De Benedetto, Marisa Pesola, Roberto Prevete, Ersilia Vallefuoco
2023	J	`jnl`	On the effects of data normalization for domain adaptation on EEG data. Eng. Appl. Artif. Intell. Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2023	—	`conf`	SHAP-based Explanations to Improve Classification Systems. XAI.it@AI*IA Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
2023	—	`conf`	Strategies to Exploit XAI to Improve Classification Systems. xAI (1) Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2023	J	`jnl`	Strategies to exploit XAI to improve classification systems. CoRR Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2023	—	`conf`	Toward the Improvement of Probabilistic Classifiers Using Ontologies. MetroXRAINE Andrea Apicella, Anna Corazza, Francesco Isgrò, Roberto Prevete
2022	—	`conf`	A ML-based Approach to Enhance Metrological Performance of Wearable Brain-Computer Interfaces. I2MTC Leopoldo Angrisani, Andrea Apicella, Pasquale Arpaia, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete
2022	J	`jnl`	A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels. IEEE Access Andrea Apicella, Pasquale Arpaia, Francesco Isgrò, Giovanna Mastrati, Nicola Moccaldi
2022	—	`conf`	Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces. MeMeA Andrea Apicella, Pasquale Arpaia, Andrea Cataldo, Egidio De Benedetto, Nicola Donato, Luigi Duraccio, Salvatore Giugliano, Roberto Prevete
2022	—	`conf`	EEG-based system for Executive Function fatigue detection. MetroXRAINE Andrea Apicella, Pasquale Arpaia, Paolo De Blasiis, Anna Della Calce, Allegra Fullin, Ludovica Gargiulo, Luigi Maffei, Francesca Mancino, Nicola Moccaldi, Andrea Pollastro, Ersilia Vallefuoco
2022	J	`jnl`	Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems. Knowl. Based Syst. Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
2022	J	`jnl`	Machine Learning Strategies to Improve Generalization in EEG-based Emotion Assessment: \\a Systematic Review. CoRR Andrea Apicella, Pasquale Arpaia, Giovanni D'Errico, Davide Marocco, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete
2022	—	`conf`	Metrological foundations of emotional valence measurement through an EEG-based system. I2MTC Andrea Apicella, Pasquale Arpaia, Antonio Esposito, Giovanna Mastrati, Nicola Moccaldi
2022	J	`jnl`	On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. CoRR Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2022	—	`conf`	Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device. MetroXRAINE Andrea Apicella, Pasquale Arpaia, Andrea Cataldo, Giovanni D'Errico, Davide Marocco, Giovanna Mastrati, Nicola Moccaldi, Andrea Pollastro, Bernadette Ricciardi, Ersilia Vallefuoco
2022	—	`conf`	Toward the Application of XAI Methods in EEG-based Systems. XAI.it@AI*IA Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2022	J	`jnl`	Toward the application of XAI methods in EEG-based systems. CoRR Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2022	—	`conf`	XAI Approach for Addressing the Dataset Shift Problem: BCI as a Case Study (short paper). BEWARE@AI*IA Andrea Apicella, Francesco Isgrò, Roberto Prevete
2021	J	`jnl`	A general approach for Explanations in terms of Middle Level Features. CoRR Andrea Apicella, Francesco Isgrò, Roberto Prevete
2021	J	`jnl`	A survey on modern trainable activation functions. Neural Networks Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
2021	J	`jnl`	Dynamic Filters in Graph Convolutional Neural Networks. CoRR Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
2020	—	`conf`	A General Approach to Compute the Relevance of Middle-Level Input Features. ICPR Workshops (3) Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
2020	J	`jnl`	A general approach to compute the relevance of middle-level input features. CoRR Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
2020	J	`jnl`	A survey on modern trainable activation functions. CoRR Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
2020	J	`jnl`	Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods. Int. J. Neural Syst. Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini
2020	—	`conf`	Preliminary validation of a measurement system for emotion recognition. MeMeA Andrea Apicella, Pasquale Arpaia, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete
2019	J	`jnl`	A simple and efficient architecture for trainable activation functions. CoRR Andrea Apicella, Francesco Isgrò, Roberto Prevete
2019	J	`jnl`	A simple and efficient architecture for trainable activation functions. Neurocomputing Andrea Apicella, Francesco Isgrò, Roberto Prevete
2019	—	`conf`	Contrastive Explanations to Classification Systems Using Sparse Dictionaries. ICIAP (1) Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini
2019	B	`conf`	Explaining classification systems using sparse dictionaries. ESANN Andrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini
2019	—	`conf`	Sparse Dictionaries for the Explanation of Classification Systems. PIE@CAiSE Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri
2018	—	`—`	Improving classification models with context knowledge and variable activation functions. Andrea Apicella
2018	J	`jnl`	Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification. Inf. Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli
2017	—	`conf`	Exploiting Context Information for Image Description. ICIAP (1) Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli
2017	—	`conf`	Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution. ICIAP (1) Andrea Apicella, Francesco Isgrò, Daniel Riccio
2017	C	`conf`	Integrating a Priori Probabilistic Knowledge into Classification for Image Description. WETICE Andrea Apicella, Anna Corazza, Francesco Isgrò, Giuseppe Vettigli