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Andrea Apicella 0001
Person information
- affiliation: Università degli Studi di Napoli Federico II, Napoli, Italy
Other persons with the same name
- Andrea Apicella 0002 — University of Udine, Udine, Italy
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2020 – today
- 2025
- [j14]Sabatina Criscuolo
, Andrea Apicella
Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals. Comput. Stand. Interfaces 92: 103897 (2025) - 2024
- [j13]Andrea Apicella
Hidden classification layers: Enhancing linear separability between classes in neural networks layers. Pattern Recognit. Lett. 177: 69-74 (2024) - [j12]Mirco Frosolone
Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis. Sensors 24(18): 6110 (2024) - [j11]Giovanni Annuzzi
Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI. IEEE J. Biomed. Health Informatics 28(5): 3123-3133 (2024) - [c22]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:
Advancing Healthcare Through AI: Innovations in Monitoring and Diagnostic Technologies at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab). Ital-IA 2024: 336-341 - [c21]Sabatina Criscuolo, Salvatore Giugliano, Andrea Apicella, Francesco Donnarumma, Francesco Amato, Annarita Tedesco, Luca Longo:
Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals. RTSI 2024: 414-419 - [i12]Andrea Apicella
Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning. CoRR abs/2401.13796 (2024) - [i11]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
Towards a general framework for improving the performance of classifiers using XAI methods. CoRR abs/2403.10373 (2024) - 2023
- [j10]Giovanni Annuzzi, Andrea Apicella
Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning. IEEE Access 11: 17104-17115 (2023) - [j9]Andrea Apicella
Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces. IEEE Access 11: 36147-36157 (2023) - [j8]Andrea Apicella
On the effects of data normalization for domain adaptation on EEG data. Eng. Appl. Artif. Intell. 123(Part A): 106205 (2023) - [j7]Andrea Apicella
Adaptive filters in Graph Convolutional Neural Networks. Pattern Recognit. 144: 109867 (2023) - [c20]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
SHAP-based Explanations to Improve Classification Systems. XAI.it@AI*IA 2023: 76-86 - [c19]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
An XAI-Based Masking Approach to Improve Classification Systems. BEWARE@AI*IA 2023: 79-83 - [c18]Andrea Apicella
Dynamic Local Filters in Graph Convolutional Neural Networks. ICIAP (2) 2023: 406-417 - [c17]Andrea Apicella
Toward the Improvement of Probabilistic Classifiers Using Ontologies. MetroXRAINE 2023: 664-669 - [c16]Andrea Apicella
Strategies to Exploit XAI to Improve Classification Systems. xAI (1) 2023: 147-159 - [i10]Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Strategies to exploit XAI to improve classification systems. CoRR abs/2306.05801 (2023) - [i9]Andrea Apicella
Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes. CoRR abs/2306.06146 (2023) - 2022
- [j6]Andrea Apicella
A Survey on EEG-Based Solutions for Emotion Recognition With a Low Number of Channels. IEEE Access 10: 117411-117428 (2022) - [j5]Andrea Apicella
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems. Knowl. Based Syst. 255: 109725 (2022) - [c15]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Toward the Application of XAI Methods in EEG-based Systems. XAI.it@AI*IA 2022: 1-15 - [c14]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: 83-88 - [c13]Leopoldo Angrisani, Andrea Apicella
A ML-based Approach to Enhance Metrological Performance of Wearable Brain-Computer Interfaces. I2MTC 2022: 1-5 - [c12]Andrea Apicella, Pasquale Arpaia, Antonio Esposito
Metrological foundations of emotional valence measurement through an EEG-based system. I2MTC 2022: 1-6 - [c11]Andrea Apicella
Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces. MeMeA 2022: 1-5 - [c10]Andrea Apicella
EEG-based system for Executive Function fatigue detection. MetroXRAINE 2022: 656-660 - [c9]Andrea Apicella, Pasquale Arpaia, Andrea Cataldo, Giovanni D'Errico
Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device. MetroXRAINE 2022: 661-666 - [i8]Andrea Apicella, Francesco Isgrò, Andrea Pollastro
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. CoRR abs/2210.01081 (2022) - [i7]Andrea Apicella
Toward the application of XAI methods in EEG-based systems. CoRR abs/2210.06554 (2022) - [i6]Andrea Apicella
Machine Learning Strategies to Improve Generalization in EEG-based Emotion Assessment: \\a Systematic Review. CoRR abs/2212.08744 (2022) - 2021
- [j4]Andrea Apicella
A survey on modern trainable activation functions. Neural Networks 138: 14-32 (2021) - [i5]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Dynamic Filters in Graph Convolutional Neural Networks. CoRR abs/2105.10377 (2021) - [i4]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
A general approach for Explanations in terms of Middle Level Features. CoRR abs/2106.05037 (2021) - 2020
- [j3]Andrea Apicella
Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods. Int. J. Neural Syst. 30(8): 2050040:1-2050040:17 (2020) - [c8]Andrea Apicella
A General Approach to Compute the Relevance of Middle-Level Input Features. ICPR Workshops (3) 2020: 189-203 - [c7]Andrea Apicella
Preliminary validation of a measurement system for emotion recognition. MeMeA 2020: 1-6 - [i3]Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete:
A survey on modern trainable activation functions. CoRR abs/2005.00817 (2020) - [i2]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
A general approach to compute the relevance of middle-level input features. CoRR abs/2010.08639 (2020)
2010 – 2019
- 2019
- [j2]Andrea Apicella
A simple and efficient architecture for trainable activation functions. Neurocomputing 370: 1-15 (2019) - [c6]Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri:
Sparse Dictionaries for the Explanation of Classification Systems. PIE@CAiSE 2019 - [c5]Andrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini:
Explaining classification systems using sparse dictionaries. ESANN 2019 - [c4]Andrea Apicella
Contrastive Explanations to Classification Systems Using Sparse Dictionaries. ICIAP (1) 2019: 207-218 - [i1]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
A simple and efficient architecture for trainable activation functions. CoRR abs/1902.03306 (2019) - 2018
- [j1]Andrea Apicella
Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification. Inf. 9(10): 252 (2018) - 2017
- [c3]Andrea Apicella
Exploiting Context Information for Image Description. ICIAP (1) 2017: 320-331 - [c2]Andrea Apicella
Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution. ICIAP (1) 2017: 637-647 - [c1]Andrea Apicella
Integrating a Priori Probabilistic Knowledge into Classification for Image Description. WETICE 2017: 197-199
Coauthor Index
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