Roberto Prevete

82 papers A* 1A 1B 4Misc 2Journal 41Unranked 32

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
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
2024	—	`conf`	A Comparative Analysis Between Quantum Machine Learning and Machine Learning on EEG Dataset. MetroXRAINE Leopoldo Angrisani, Egidio De Benedetto, Alessandro Di Bernardo, Roberto Prevete, Annarita Tedesco
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	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`	SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder. CoRR Andrea Pollastro, 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	J	`jnl`	Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine. IEEE Access Andrea Pollastro, Giusiana Testa, Antonio Bilotta, 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	—	`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	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`	Neural Network-Based Prediction and Monitoring of Blood Glucose Response to Nutritional Factors in Type-1 Diabetes. I2MTC Leopoldo Angrisani, Giovanni Annuzzi, Pasquale Arpaia, Lutgarda Bozzetto, Andrea Cataldo, Alessandra Corrado, Egidio De Benedetto, Vincenzo Di Capua, Roberto Prevete, Ersilia Vallefuoco
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	J	`jnl`	Semi-supervised detection of structural damage using Variational Autoencoder and a One-Class Support Vector Machine. CoRR Andrea Pollastro, Giusiana Testa, Antonio Bilotta, Roberto Prevete
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`	Beam Measurements and Machine Learning at the CERN Large Hadron Collider. IEEE Instrum. Meas. Mag. 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
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 Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis. IEEE Trans. Instrum. Meas. Pasquale Arpaia, Nicola Moccaldi, Roberto Prevete, Isabella Sannino, Annarita Tedesco
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`	Feasibility of cardiovascular risk assessment through non-invasive measurements. MetroInd4.0&IoT Pasquale Arpaia, Renato Cuocolo, Francesco Donnarumma, Dario D'Andrea, Antonio Esposito, Nicola Moccaldi, Angela Natalizio, Roberto Prevete
2019	—	`conf`	Sparse Dictionaries for the Explanation of Classification Systems. PIE@CAiSE Andrea Apicella, Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, Alessio Vietri
2018	—	`conf`	Ethics-aware Data Governance (Vision Paper). SEBD 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
2016	—	`conf`	A machine learning approach for predictive maintenance for mobile phones service providers. 3PGCIC Anna Corazza, Francesco Isgrò, Luca Longobardo, Roberto Prevete
2016	J	`jnl`	Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario. Adapt. Behav. Francesco Donnarumma, Roberto Prevete, Andrea de Giorgio, Guglielmo Montone, Giovanni Pezzulo
2015	J	`jnl`	A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control. Int. J. Neural Syst. Francesco Donnarumma, Roberto Prevete, Fabian Chersi, Giovanni Pezzulo
2015	J	`jnl`	A linear approach for sparse coding by a two-layer neural network. CoRR Alessandro Montalto, Giovanni Tessitore, Roberto Prevete
2015	J	`jnl`	A linear approach for sparse coding by a two-layer neural network. Neurocomputing Alessandro Montalto, Giovanni Tessitore, Roberto Prevete
2015	J	`jnl`	Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality. Neural Networks Alessandro Montalto, Sebastiano Stramaglia, Luca Faes, Giovanni Tessitore, Roberto Prevete, Daniele Marinazzo
2013	B	`conf`	A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus. CBMS Anna Anzalone, Giovanni Fusco, Francesco Isgrò, Emanuela Orlandi, Roberto Prevete, Giuseppa Sciortino, Domenico Tegolo, Cesare Valenti
2012	J	`jnl`	Programming in the brain: a neural network theoretical framework. Connect. Sci. Francesco Donnarumma, Roberto Prevete, Giuseppe Trautteur
2011	—	`conf`	A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors. ICANNGA (1) Guglielmo Montone, Francesco Donnarumma, Roberto Prevete
2011	—	`ch.`	Designing Structured Sparse Dictionaries for Sparse Representation Modeling. Computer Recognition Systems 4 Giovanni Tessitore, Roberto Prevete
2011	J	`jnl`	Perceiving affordances: A computational investigation of grasping affordances. Cogn. Syst. Res. Roberto Prevete, Giovanni Tessitore, Ezio Catanzariti, Guglielmo Tamburrini
2010	—	`conf`	An Action-tuned Neural Network Architecture for Hand Pose Estimation. IJCCI (ICFC-ICNC) Giovanni Tessitore, Francesco Donnarumma, Roberto Prevete
2010	J	`jnl`	From motor to sensory processing in mirror neuron computational modelling. Biol. Cybern. Giovanni Tessitore, Roberto Prevete, Ezio Catanzariti, Guglielmo Tamburrini
2009	Misc	`conf`	A Semi-automated Method for the Measurement of the Fetal Nuchal Translucency in Ultrasound Images. ICIAP Ezio Catanzariti, Giovanni Fusco, Francesco Isgrò, Salvatore Masecchia, Roberto Prevete, Matteo Santoro
2008	A	`conf`	CTRNN Parameter Learning using Differential Evolution. ECAI Ivanoe De Falco, Antonio Della Cioppa, Francesco Donnarumma, Domenico Maisto, Roberto Prevete, Ernesto Tarantino
2007	—	`conf`	A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features. BVAI Roberto Prevete, Matteo Santoro, Ezio Catanzariti, Giovanni Tessitore
2005	—	`conf`	MEDIARAD: A Multiplatform Software Environment for Developing Imaging Applications in RADiology. CAMP Ezio Catanzariti, Roberto Prevete, Matteo Santoro
2005	—	`conf`	Mass Detection in Mammograms Using Gabor Filters and Fuzzy Clustering. WILF Matteo Santoro, Roberto Prevete, L. Cavallo, Ezio Catanzariti
2003	Misc	`conf`	Computer aided detection of clustered microcalcifications in digitized mammograms using Gabor functions. ICIAP Ezio Catanzariti, Monica Ciminello, Roberto Prevete
2002	A*	`conf`	Is It the Right Answer? Exploiting Web Redundancy for Answer Validation. ACL Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev
2002	—	`conf`	Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002. TREC Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev
2002	B	`conf`	Towards Automatic Evaluation of Question/Answering Systems. LREC Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev
2001	—	`conf`	Multilingual Question/Answering: the DIOGENE System. TREC Bernardo Magnini, Matteo Negri, Roberto Prevete, Hristo Tanev
2001	—	`conf`	Open Domain Question/Answering on the Web. AI*IA Bernardo Magnini, Matteo Negri, Roberto Prevete
2001	—	`conf`	Specific Sequence Learning by an Adaptable Boolean Neural Network. WIRN Francesco E. Lauria, Roberto Prevete
2000	—	`conf`	An Adaptable Boolean Neural Network Performing Specific Sequence Learning. IJCNN (3) Francesco E. Lauria, Roberto Prevete, Marta Milo
1999	—	`conf`	A Boolean Neural Network Controlling Task Sequences in a Noisy Environment. IWANN (1) Francesco E. Lauria, Marta Milo, Roberto Prevete, S. Visco
1998	B	`conf`	A Boolean Neural Network as a Rule Based System Learning New Rules by Examples. ICONIP Francesco E. Lauria, Roberto Prevete, Marta Milo, S. Visco
1997	—	`conf`	On the Finite State Machine Associated to an Adaptable Boolean Neural Net. ICONIP (1) Francesco E. Lauria, Roberto Prevete, Marta Milo, S. Visco