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2020 – today
- 2025
[j22]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: 103897 (2025)- 2024
- [j21]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
Hidden classification layers: Enhancing linear separability between classes in neural networks layers. Pattern Recognit. Lett. 177: 69-74 (2024) - [j20]Mirco Frosolone, Roberto Prevete, Lorenzo Ognibeni, Salvatore Giugliano, Andrea Apicella, Giovanni Pezzulo, Francesco Donnarumma:
Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis. Sensors 24(18): 6110 (2024) - [j19]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): 3123-3133 (2024) - [c38]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 - [i15]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning. CoRR abs/2401.13796 (2024) - [i14]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) - [i13]Andrea Pollastro, Francesco Isgrò, Roberto Prevete:
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder. CoRR abs/2406.17537 (2024) - 2023
- [j18]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: 17104-17115 (2023) - [j17]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: 36147-36157 (2023) - [j16]Andrea Pollastro, Giusiana Testa, Antonio Bilotta, Roberto Prevete:
Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine. IEEE Access 11: 67098-67112 (2023) - [j15]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): 106205 (2023) - [j14]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Adaptive filters in Graph Convolutional Neural Networks. Pattern Recognit. 144: 109867 (2023) - [c37]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
SHAP-based Explanations to Improve Classification Systems. XAI.it@AI*IA 2023: 76-86 - [c36]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 - [c35]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Dynamic Local Filters in Graph Convolutional Neural Networks. ICIAP (2) 2023: 406-417 - [c34]Andrea Apicella, Anna Corazza, Francesco Isgrò, Roberto Prevete:
Toward the Improvement of Probabilistic Classifiers Using Ontologies. MetroXRAINE 2023: 664-669 - [c33]Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Strategies to Exploit XAI to Improve Classification Systems. xAI (1) 2023: 147-159 - [i12]Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Strategies to exploit XAI to improve classification systems. CoRR abs/2306.05801 (2023) - [i11]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 abs/2306.06146 (2023) - 2022
- [j13]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: 109725 (2022) - [c32]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 - [c31]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 - [c30]Leopoldo Angrisani, Giovanni Annuzzi, Pasquale Arpaia, Lutgarda Bozzetto, Andrea Cataldo, Alessandra Corrado, Egidio De Benedetto, Vincenzo Di Capua, Roberto Prevete, Ersilia Vallefuoco:
Neural Network-Based Prediction and Monitoring of Blood Glucose Response to Nutritional Factors in Type-1 Diabetes. I2MTC 2022: 1-6 - [c29]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: 1-5 - [c28]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: 1-5 - [i10]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. CoRR abs/2210.01081 (2022) - [i9]Andrea Pollastro, Giusiana Testa, Antonio Bilotta, Roberto Prevete:
Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine. CoRR abs/2210.05674 (2022) - [i8]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Toward the application of XAI methods in EEG-based systems. CoRR abs/2210.06554 (2022) - [i7]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 abs/2212.08744 (2022) - 2021
- [j12]Pasquale Arpaia, Gabriella Azzopardi, Frédéric Blanc, Xavier Buffat, Loic Coyle, Elena Fol, Francesco Giordano, Massimo Giovannozzi, Tatiana Pieloni, Roberto Prevete, Stefano Redaelli, Belen Salvachua, Benoît Salvant, Michael Schenk, Matteo Solfaroli Camillocci, Rogelio Tomás, Gianluca Valentino, Frederik Florentinus Van der Veken, Jörg Wenninger:
Beam Measurements and Machine Learning at the CERN Large Hadron Collider. IEEE Instrum. Meas. Mag. 24(9): 47-58 (2021) - [j11]Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete:
A survey on modern trainable activation functions. Neural Networks 138: 14-32 (2021) - [i6]Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete:
Dynamic Filters in Graph Convolutional Neural Networks. CoRR abs/2105.10377 (2021) - [i5]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
A general approach for Explanations in terms of Middle Level Features. CoRR abs/2106.05037 (2021) - 2020
- [j10]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): 2050040:1-2050040:17 (2020) - [j9]Pasquale Arpaia, Nicola Moccaldi, Roberto Prevete, Isabella Sannino, Annarita Tedesco:
A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis. IEEE Trans. Instrum. Meas. 69(10): 8335-8343 (2020) - [c27]Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete:
A General Approach to Compute the Relevance of Middle-Level Input Features. ICPR Workshops (3) 2020: 189-203 - [c26]Andrea Apicella, Pasquale Arpaia, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete:
Preliminary validation of a measurement system for emotion recognition. MeMeA 2020: 1-6 - [i4]Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete:
A survey on modern trainable activation functions. CoRR abs/2005.00817 (2020) - [i3]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
- [j8]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
A simple and efficient architecture for trainable activation functions. Neurocomputing 370: 1-15 (2019) - [c25]Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri:
Sparse Dictionaries for the Explanation of Classification Systems. PIE@CAiSE 2019 - [c24]Andrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini:
Explaining classification systems using sparse dictionaries. ESANN 2019 - [c23]Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini:
Contrastive Explanations to Classification Systems Using Sparse Dictionaries. ICIAP (1) 2019: 207-218 - [c22]Pasquale Arpaia, Renato Cuocolo, Francesco Donnarumma, Dario D'Andrea, Antonio Esposito, Nicola Moccaldi, Angela Natalizio, Roberto Prevete:
Feasibility of cardiovascular risk assessment through non-invasive measurements. MetroInd4.0&IoT 2019: 263-267 - [i2]Andrea Apicella, Francesco Isgrò, Roberto Prevete:
A simple and efficient architecture for trainable activation functions. CoRR abs/1902.03306 (2019) - 2018
- [c21]Letizia Tanca, Paolo Atzeni, Davide Azzalini, Ilaria Bartolini, Luca Cabibbo, Luca Calderoni, Paolo Ciaccia, Valter Crescenzi, Juan Carlos De Martin, Selina Fenoglietto, Donatella Firmani, Sergio Greco, Francesco Isgrò, Dario Maio, Davide Martinenghi, Maristella Matera, Paolo Merialdo, Cristian Molinaro, Marco Patella, Roberto Prevete, Elisa Quintarelli, Antonio Santangelo, Andrea Tagarelli, Guglielmo Tamburrini, Riccardo Torlone:
Ethics-aware Data Governance (Vision Paper). SEBD 2018: 49 - 2016
- [j7]Francesco Donnarumma, Roberto Prevete, Andrea de Giorgio, Guglielmo Montone, Giovanni Pezzulo:
Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario. Adapt. Behav. 24(1): 27-51 (2016) - [c20]Anna Corazza, Francesco Isgrò, Luca Longobardo, Roberto Prevete:
A machine learning approach for predictive maintenance for mobile phones service providers. 3PGCIC 2016: 717-726 - 2015
- [j6]Francesco Donnarumma, Roberto Prevete, Fabian Chersi, Giovanni Pezzulo:
A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control. Int. J. Neural Syst. 25(6): 1550017:1-1550017:16 (2015) - [j5]Alessandro Montalto, Giovanni Tessitore, Roberto Prevete:
A linear approach for sparse coding by a two-layer neural network. Neurocomputing 149: 1315-1323 (2015) - [j4]Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo:
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality. Neural Networks 71: 159-171 (2015) - [i1]Alessandro Montalto, Giovanni Tessitore, Roberto Prevete:
A linear approach for sparse coding by a two-layer neural network. CoRR abs/1507.01892 (2015) - 2013
- [c19]Anna Anzalone, Giovanni Fusco, Francesco Isgrò, Emanuela Orlandi, Roberto Prevete, Giuseppa Sciortino, Domenico Tegolo, Cesare Valenti:
A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. CBMS 2013: 239-244 - 2012
- [j3]Francesco Donnarumma, Roberto Prevete, Giuseppe Trautteur:
Programming in the brain: a neural network theoretical framework. Connect. Sci. 24(2-3): 71-90 (2012) - 2011
- [j2]Roberto Prevete, Giovanni Tessitore, Ezio Catanzariti, Guglielmo Tamburrini:
Perceiving affordances: A computational investigation of grasping affordances. Cogn. Syst. Res. 12(2): 122-133 (2011) - [c18]Guglielmo Montone, Francesco Donnarumma, Roberto Prevete:
A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors. ICANNGA (1) 2011: 250-259 - [p1]Giovanni Tessitore, Roberto Prevete:
Designing Structured Sparse Dictionaries for Sparse Representation Modeling. Computer Recognition Systems 4 2011: 157-166 - 2010
- [j1]Giovanni Tessitore, Roberto Prevete, Ezio Catanzariti, Guglielmo Tamburrini:
From motor to sensory processing in mirror neuron computational modelling. Biol. Cybern. 103(6): 471-485 (2010) - [c17]Giovanni Tessitore, Francesco Donnarumma, Roberto Prevete:
An Action-tuned Neural Network Architecture for Hand Pose Estimation. IJCCI (ICFC-ICNC) 2010: 358-363
2000 – 2009
- 2009
- [c16]Ezio Catanzariti, Giovanni Fusco, Francesco Isgrò, Salvatore Masecchia, Roberto Prevete, Matteo Santoro:
A Semi-automated Method for the Measurement of the Fetal Nuchal Translucency in Ultrasound Images. ICIAP 2009: 613-622 - 2008
- [c15]Ivanoe De Falco, Antonio Della Cioppa, Francesco Donnarumma, Domenico Maisto, Roberto Prevete, Ernesto Tarantino:
CTRNN Parameter Learning using Differential Evolution. ECAI 2008: 783-784 - 2007
- [c14]Roberto Prevete, Matteo Santoro, Ezio Catanzariti, Giovanni Tessitore:
A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features. BVAI 2007: 124-133 - 2005
- [c13]Ezio Catanzariti, Roberto Prevete, Matteo Santoro:
MEDIARAD: A Multiplatform Software Environment for Developing Imaging Applications in RADiology. CAMP 2005: 231-236 - [c12]Matteo Santoro, Roberto Prevete, L. Cavallo, Ezio Catanzariti:
Mass Detection in Mammograms Using Gabor Filters and Fuzzy Clustering. WILF 2005: 334-343 - 2003
- [c11]Ezio Catanzariti, Monica Ciminello, Roberto Prevete:
Computer aided detection of clustered microcalcifications in digitized mammograms using Gabor functions. ICIAP 2003: 266-270 - 2002
- [c10]Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev:
Is It the Right Answer? Exploiting Web Redundancy for Answer Validation. ACL 2002: 425-432 - [c9]Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev:
Towards Automatic Evaluation of Question/Answering Systems. LREC 2002 - [c8]Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev:
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002. TREC 2002 - 2001
- [c7]Bernardo Magnini, Matteo Negri, Roberto Prevete:
Open Domain Question/Answering on the Web. AI*IA 2001: 273-284 - [c6]Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev:
Multilingual Question/Answering: the DIOGENE System. TREC 2001 - [c5]Francesco E. Lauria, Roberto Prevete:
Specific Sequence Learning by an Adaptable Boolean Neural Network. WIRN 2001: 120-127 - 2000
- [c4]Francesco E. Lauria, Roberto Prevete, Marta Milo:
An Adaptable Boolean Neural Network Performing Specific Sequence Learning. IJCNN (3) 2000: 181-188
1990 – 1999
- 1999
- [c3]Francesco E. Lauria, Marta Milo, Roberto Prevete, S. Visco:
A Boolean Neural Network Controlling Task Sequences in a Noisy Environment. IWANN (1) 1999: 582-590 - 1998
- [c2]Francesco E. Lauria, Roberto Prevete, Marta Milo, S. Visco:
A Boolean Neural Network as a Rule Based System Learning New Rules by Examples. ICONIP 1998: 1637-1642 - 1997
- [c1]Francesco E. Lauria, Roberto Prevete, Marta Milo, S. Visco:
On the Finite State Machine Associated to an Adaptable Boolean Neural Net. ICONIP (1) 1997: 355-358
Coauthor Index
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