Roberto Prevete

Publication Activity (10 Years)

Years Active: 1997-2025
Publications (10 Years): 47

Top Topics

Machine Learning

Linear Separability

Top Venues

Publications

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 (2025)
Andrea Pollastro, Francesco Isgrò, Roberto Prevete
SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder. CoRR (2024)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Hidden classification layers: Enhancing linear separability between classes in neural networks layers. Pattern Recognit. Lett. 177 (2024)
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) (2024)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning. CoRR (2024)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
Towards a general framework for improving the performance of classifiers using XAI methods. CoRR (2024)
Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Strategies to exploit XAI to improve classification systems. CoRR (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Dynamic Local Filters in Graph Convolutional Neural Networks. ICIAP (2) (2023)
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 (2023)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Adaptive filters in Graph Convolutional Neural Networks. Pattern Recognit. 144 (2023)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
An XAI-Based Masking Approach to Improve Classification Systems. BEWARE@AI*IA (2023)
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 (2023)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
SHAP-based Explanations to Improve Classification Systems. XAI.it@AI*IA (2023)
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) (2023)
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 (2023)
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 (2023)
Andrea Apicella, Anna Corazza, Francesco Isgrò, Roberto Prevete
Toward the Improvement of Probabilistic Classifiers Using Ontologies. MetroXRAINE (2023)
Andrea Apicella, Luca Di Lorenzo, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Strategies to Exploit XAI to Improve Classification Systems. xAI (1) (2023)
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 (2022)
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 (2022)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Toward the application of XAI methods in EEG-based systems. CoRR (2022)
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 (2022)
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)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
On The Effects Of Data Normalisation For Domain Adaptation On EEG Data. CoRR (2022)
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)
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)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Toward the Application of XAI Methods in EEG-based Systems. XAI.it@AI*IA (2022)
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)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A general approach for Explanations in terms of Middle Level Features. CoRR (2021)
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) (2021)
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
A survey on modern trainable activation functions. Neural Networks 138 (2021)
Andrea Apicella, Francesco Isgrò, Andrea Pollastro, Roberto Prevete
Dynamic Filters in Graph Convolutional Neural Networks. CoRR (2021)
Andrea Apicella, Pasquale Arpaia, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete
Preliminary validation of a measurement system for emotion recognition. MeMeA (2020)
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) (2020)
Andrea Apicella, Francesco Donnarumma, Francesco Isgrò, Roberto Prevete
A survey on modern trainable activation functions. CoRR (2020)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
A general approach to compute the relevance of middle-level input features. CoRR (2020)
Andrea Apicella, Salvatore Giugliano, Francesco Isgrò, Roberto Prevete
A General Approach to Compute the Relevance of Middle-Level Input Features. ICPR Workshops (3) (2020)
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) (2020)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri
Sparse Dictionaries for the Explanation of Classification Systems. PIE@CAiSE (2019)
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)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Andrea Sorrentino, Guglielmo Tamburrini
Explaining classification systems using sparse dictionaries. ESANN (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A simple and efficient architecture for trainable activation functions. CoRR (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini
Contrastive Explanations to Classification Systems Using Sparse Dictionaries. ICIAP (1) (2019)
Andrea Apicella, Francesco Isgrò, Roberto Prevete
A simple and efficient architecture for trainable activation functions. Neurocomputing 370 (2019)
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)
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) (2016)
Anna Corazza, Francesco Isgrò, Luca Longobardo, Roberto Prevete
A machine learning approach for predictive maintenance for mobile phones service providers. 3PGCIC (2016)
Alessandro Montalto, Giovanni Tessitore, Roberto Prevete
A linear approach for sparse coding by a two-layer neural network. Neurocomputing 149 (2015)
Francesco Donnarumma, Roberto Prevete, Fabian Chersi, Giovanni Pezzulo
A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control. Int. J. Neural Syst. 25 (6) (2015)
Alessandro Montalto, Giovanni Tessitore, Roberto Prevete
A linear approach for sparse coding by a two-layer neural network. CoRR (2015)
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 (2015)
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)
Francesco Donnarumma, Roberto Prevete, Giuseppe Trautteur
Programming in the brain: a neural network theoretical framework. Connect. Sci. 24 (2-3) (2012)
Roberto Prevete, Giovanni Tessitore, Ezio Catanzariti, Guglielmo Tamburrini
Perceiving affordances: A computational investigation of grasping affordances. Cogn. Syst. Res. 12 (2) (2011)
Guglielmo Montone, Francesco Donnarumma, Roberto Prevete
A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors. ICANNGA (1) (2011)
Giovanni Tessitore, Francesco Donnarumma, Roberto Prevete
An Action-tuned Neural Network Architecture for Hand Pose Estimation. IJCCI (ICFC-ICNC) (2010)
Giovanni Tessitore, Roberto Prevete, Ezio Catanzariti, Guglielmo Tamburrini
From motor to sensory processing in mirror neuron computational modelling. Biol. Cybern. 103 (6) (2010)
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)
Ivanoe De Falco, Antonio Della Cioppa, Francesco Donnarumma, Domenico Maisto, Roberto Prevete, Ernesto Tarantino
CTRNN Parameter Learning using Differential Evolution. ECAI (2008)
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)
Ezio Catanzariti, Roberto Prevete, Matteo Santoro
MEDIARAD: A Multiplatform Software Environment for Developing Imaging Applications in RADiology. CAMP (2005)
Matteo Santoro, Roberto Prevete, L. Cavallo, Ezio Catanzariti
Mass Detection in Mammograms Using Gabor Filters and Fuzzy Clustering. WILF (2005)
Ezio Catanzariti, Monica Ciminello, Roberto Prevete
Computer aided detection of clustered microcalcifications in digitized mammograms using Gabor functions. ICIAP (2003)
Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002. TREC (2002)
Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev
Towards Automatic Evaluation of Question/Answering Systems. LREC (2002)
Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev
Is It the Right Answer? Exploiting Web Redundancy for Answer Validation. ACL (2002)
Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev
Multilingual Question/Answering: the DIOGENE System. TREC (2001)
Bernardo Magnini, Matteo Negri, Roberto Prevete
Open Domain Question/Answering on the Web. AI*IA (2001)
Francesco E. Lauria, Roberto Prevete
Specific Sequence Learning by an Adaptable Boolean Neural Network. WIRN (2001)
Francesco E. Lauria, Roberto Prevete, Marta Milo
An Adaptable Boolean Neural Network Performing Specific Sequence Learning. IJCNN (3) (2000)
Francesco E. Lauria, Marta Milo, Roberto Prevete, S. Visco
A Boolean Neural Network Controlling Task Sequences in a Noisy Environment. IWANN (1) (1999)
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)
Francesco E. Lauria, Roberto Prevete, Marta Milo, S. Visco
On the Finite State Machine Associated to an Adaptable Boolean Neural Net. ICONIP (1) (1997)