Neural techniques for image segmentation
1998 Marsella, M.; Miranda, S.
Network Anomaly Detection Based on Burrows–Wheeler Transform and Variational Autoencoders
2025 Carpentieri, Bruno; D’Angelo, Gianni; Ficco, Massimo; Fiore, Ugo; Palmieri, Francesco
Explaining the behavior of learning classification systems: a black-box approach
2018 Apicella, Andrea; Prevete, Roberto; Isgrò, Francesco; Tamburrini, Guglielmo
Improving the Performance of Already Trained Classifiers Through an Automatic Explanation-Based Learning Approach
2025 Apicella, A.; Giugliano, S.; Isgro, F.; Prevete, R.
Advancing Healthcare Through AI: Innovations in Monitoring and Diagnostic Technologies at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab)
2024 Annuzzi, G.; Apicella, A.; Arpaia, P.; Bozzetto, L.; Bracale, U.; De Benedetto, E.; De Blasiis, P.; Esposito, A.; Isgro, F.; Lus, G.; Moccaldi, N.; Peltrini, R.; Prevete, R.; Raimo, S.
Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals
2024 Criscuolo, S.; Giugliano, S.; Apicella, A.; Donnarumma, F.; Amato, F.; Tedesco, A.; Longo, L.
An XAI-based masking approach to improve classification systems
2023 Apicella, A.; Giugliano, S.; Isgro, F.; Pollastro, A.; Prevete, R.
SHAP-based explanations to improve classification systems
2023 Apicella, A.; Giugliano, S.; Isgro, F.; Prevete, R.
Dynamic Local Filters in Graph Convolutional Neural Networks
2023 Apicella, A.; Isgro, F.; Pollastro, A.; Prevete, R.
Strategies to Exploit XAI to Improve Classification Systems
2023 Apicella, A.; Di Lorenzo, L.; Isgro, F.; Pollastro, A.; Prevete, R.
Toward the Improvement of Probabilistic Classifiers Using Ontologies
2023 Apicella, A.; Corazza, A.; Isgro, F.; Prevete, R.
The role of AI and emerging technologies in transforming knowledge management
2025 Aquilone, Gianluca; Varriale, Vincenzo; Cammarano, Antonello; Michelino, Francesca; Caputo, Mauro
Synergies Between Advanced Technologies and Sustainability in Industry 5.0: An Association Rule-Based Approach
2025 Varriale, Vincenzo; Cammarano, Antonello; Godinho-Filho, Moacir
Integrating Blockchain with Emerging Technologies for Enhanced Supply Chain Management
2025 Varriale, Vincenzo; Cammarano, Antonello; Michelino, Francesca; Müller, Julian
Artificial Intelligence for Sustainable Business Processes: A Comprehensive Mapping Towards SDG Achievement
2025 Varriale, Vincenzo; Cammarano, Antonello; Appio, Francesco Paolo
Promoting Euclidean-Taxicab covariational reasoning to enhance understanding of trigonometric concepts in a digital environment
2025 Miranda, Annamaria; Saliceto, Loredana
Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces
2022 Apicella, A.; Arpaia, P.; Cataldo, A.; De Benedetto, E.; Donato, N.; Duraccio, L.; Giugliano, S.; Prevete, R.
Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device
2022 Apicella, A.; Arpaia, P.; Cataldo, A.; D'Errico, G.; Marocco, D.; Mastrati, G.; Moccaldi, N.; Pollastro, A.; Ricciardi, B.; Vallefuoco, E.
EEG-based system for Executive Function fatigue detection
2022 Apicella, A.; Arpaia, P.; De Blasiis, P.; Calce, A. D.; Fullin, A.; Gargiulo, L.; Maffei, L.; Mancino, F.; Moccaldi, N.; Pollastro, A.; Vallefuoco, E.
Instrumentation for EEG-based monitoring of the executive functions in a dual-task framework
2022 Angrisani, L.; Apicella, A.; Arpaia, P.; Cataldo, A.; Calce, A. D.; Fullin, A.; Gargiulo, L.; Maffei, L.; Moccaldi, N.; Pollastro, A.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Neural techniques for image segmentation | 1-gen-1998 | Marsella, M.; Miranda, S. | |
| Network Anomaly Detection Based on Burrows–Wheeler Transform and Variational Autoencoders | 1-gen-2025 | Carpentieri, Bruno; D’Angelo, Gianni; Ficco, Massimo; Fiore, Ugo; Palmieri, Francesco | |
| Explaining the behavior of learning classification systems: a black-box approach | 1-gen-2018 | Apicella, Andrea; Prevete, Roberto; Isgrò, Francesco; Tamburrini, Guglielmo | |
| Improving the Performance of Already Trained Classifiers Through an Automatic Explanation-Based Learning Approach | 1-gen-2025 | Apicella, A.; Giugliano, S.; Isgro, F.; Prevete, R. | |
| Advancing Healthcare Through AI: Innovations in Monitoring and Diagnostic Technologies at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab) | 1-gen-2024 | Annuzzi, G.; Apicella, A.; Arpaia, P.; Bozzetto, L.; Bracale, U.; De Benedetto, E.; De Blasiis, P.; Esposito, A.; Isgro, F.; Lus, G.; Moccaldi, N.; Peltrini, R.; Prevete, R.; Raimo, S. | |
| Exploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals | 1-gen-2024 | Criscuolo, S.; Giugliano, S.; Apicella, A.; Donnarumma, F.; Amato, F.; Tedesco, A.; Longo, L. | |
| An XAI-based masking approach to improve classification systems | 1-gen-2023 | Apicella, A.; Giugliano, S.; Isgro, F.; Pollastro, A.; Prevete, R. | |
| SHAP-based explanations to improve classification systems | 1-gen-2023 | Apicella, A.; Giugliano, S.; Isgro, F.; Prevete, R. | |
| Dynamic Local Filters in Graph Convolutional Neural Networks | 1-gen-2023 | Apicella, A.; Isgro, F.; Pollastro, A.; Prevete, R. | |
| Strategies to Exploit XAI to Improve Classification Systems | 1-gen-2023 | Apicella, A.; Di Lorenzo, L.; Isgro, F.; Pollastro, A.; Prevete, R. | |
| Toward the Improvement of Probabilistic Classifiers Using Ontologies | 1-gen-2023 | Apicella, A.; Corazza, A.; Isgro, F.; Prevete, R. | |
| The role of AI and emerging technologies in transforming knowledge management | 1-gen-2025 | Aquilone, Gianluca; Varriale, Vincenzo; Cammarano, Antonello; Michelino, Francesca; Caputo, Mauro | |
| Synergies Between Advanced Technologies and Sustainability in Industry 5.0: An Association Rule-Based Approach | 1-gen-2025 | Varriale, Vincenzo; Cammarano, Antonello; Godinho-Filho, Moacir | |
| Integrating Blockchain with Emerging Technologies for Enhanced Supply Chain Management | 1-gen-2025 | Varriale, Vincenzo; Cammarano, Antonello; Michelino, Francesca; Müller, Julian | |
| Artificial Intelligence for Sustainable Business Processes: A Comprehensive Mapping Towards SDG Achievement | 1-gen-2025 | Varriale, Vincenzo; Cammarano, Antonello; Appio, Francesco Paolo | |
| Promoting Euclidean-Taxicab covariational reasoning to enhance understanding of trigonometric concepts in a digital environment | 1-gen-2025 | Miranda, Annamaria; Saliceto, Loredana | |
| Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces | 1-gen-2022 | Apicella, A.; Arpaia, P.; Cataldo, A.; De Benedetto, E.; Donato, N.; Duraccio, L.; Giugliano, S.; Prevete, R. | |
| Reproducible Assessment of Valence and Arousal Based on an EEG Wearable Device | 1-gen-2022 | Apicella, A.; Arpaia, P.; Cataldo, A.; D'Errico, G.; Marocco, D.; Mastrati, G.; Moccaldi, N.; Pollastro, A.; Ricciardi, B.; Vallefuoco, E. | |
| EEG-based system for Executive Function fatigue detection | 1-gen-2022 | Apicella, A.; Arpaia, P.; De Blasiis, P.; Calce, A. D.; Fullin, A.; Gargiulo, L.; Maffei, L.; Mancino, F.; Moccaldi, N.; Pollastro, A.; Vallefuoco, E. | |
| Instrumentation for EEG-based monitoring of the executive functions in a dual-task framework | 1-gen-2022 | Angrisani, L.; Apicella, A.; Arpaia, P.; Cataldo, A.; Calce, A. D.; Fullin, A.; Gargiulo, L.; Maffei, L.; Moccaldi, N.; Pollastro, A. |
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