Roberto Prevete

Orcid: 0000-0002-3804-1719

According to our database1, Roberto Prevete authored at least 69 papers between 1997 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Interpreting the latent space of a Convolutional Variational Autoencoder for semi-automated eye blink artefact detection in EEG signals.
Comput. Stand. Interfaces, 2025

2024
Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis.
Sensors, September, 2024

Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI.
IEEE J. Biomed. Health Informatics, May, 2024

Hidden classification layers: Enhancing linear separability between classes in neural networks layers.
Pattern Recognit. Lett., January, 2024

SincVAE: a New Approach to Improve Anomaly Detection on EEG Data Using SincNet and Variational Autoencoder.
CoRR, 2024

Towards a general framework for improving the performance of classifiers using XAI methods.
CoRR, 2024

Don't Push the Button! Exploring Data Leakage Risks in Machine Learning and Transfer Learning.
CoRR, 2024

Advancing Healthcare Through AI: Innovations in Monitoring and Diagnostic Technologies at the Augmented Reality for Health Monitoring Laboratory (ARHeMLab).
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

2023
Adaptive filters in Graph Convolutional Neural Networks.
Pattern Recognit., December, 2023

On the effects of data normalization for domain adaptation on EEG data.
Eng. Appl. Artif. Intell., 2023

Hidden Classification Layers: a study on Data Hidden Representations with a Higher Degree of Linear Separability between the Classes.
CoRR, 2023

Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine.
IEEE Access, 2023

Employment of Domain Adaptation Techniques in SSVEP-Based Brain-Computer Interfaces.
IEEE Access, 2023

Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning.
IEEE Access, 2023

Strategies to Exploit XAI to Improve Classification Systems.
Proceedings of the Explainable Artificial Intelligence, 2023

Toward the Improvement of Probabilistic Classifiers Using Ontologies.
Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Dynamic Local Filters in Graph Convolutional Neural Networks.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

An XAI-Based Masking Approach to Improve Classification Systems.
Proceedings of the 2nd Workshop on Bias, 2023

SHAP-based Explanations to Improve Classification Systems.
Proceedings of the 4th Italian Workshop on Explainable Artificial Intelligence co-located with 22nd International Conference of the Italian Association for Artificial Intelligence(AIxIA 2023), 2023

2022
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems.
Knowl. Based Syst., 2022

Machine Learning Strategies to Improve Generalization in EEG-based Emotion Assessment: \\a Systematic Review.
CoRR, 2022

On The Effects Of Data Normalisation For Domain Adaptation On EEG Data.
CoRR, 2022

Adoption of Machine Learning Techniques to Enhance Classification Performance in Reactive Brain-Computer Interfaces.
Proceedings of the IEEE International Symposium on Medical Measurements and Applications, 2022

A ML-based Approach to Enhance Metrological Performance of Wearable Brain-Computer Interfaces.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Neural Network-Based Prediction and Monitoring of Blood Glucose Response to Nutritional Factors in Type-1 Diabetes.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2022

Toward the Application of XAI Methods in EEG-based Systems.
Proceedings of the 3rd Italian Workshop on Explainable Artificial Intelligence co-located with 21th International Conference of the Italian Association for Artificial Intelligence(AIxIA 2022), Udine, Italy, November 28, 2022

XAI Approach for Addressing the Dataset Shift Problem: BCI as a Case Study (short paper).
Proceedings of 1st Workshop on Bias, 2022

2021
A survey on modern trainable activation functions.
Neural Networks, 2021

Beam Measurements and Machine Learning at the CERN Large Hadron Collider.
IEEE Instrum. Meas. Mag., 2021

A general approach for Explanations in terms of Middle Level Features.
CoRR, 2021

Dynamic Filters in Graph Convolutional Neural Networks.
CoRR, 2021

2020
A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis.
IEEE Trans. Instrum. Meas., 2020

Middle-Level Features for the Explanation of Classification Systems by Sparse Dictionary Methods.
Int. J. Neural Syst., 2020

Preliminary validation of a measurement system for emotion recognition.
Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

A General Approach to Compute the Relevance of Middle-Level Input Features.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
A simple and efficient architecture for trainable activation functions.
Neurocomputing, 2019

Feasibility of cardiovascular risk assessment through non-invasive measurements.
Proceedings of the 2nd Workshop on Metrology for Industry 4.0 and IoT MetroInd4.0&IoT 2019, 2019

Contrastive Explanations to Classification Systems Using Sparse Dictionaries.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Explaining classification systems using sparse dictionaries.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

Sparse Dictionaries for the Explanation of Classification Systems.
Proceedings of the 1st International Workshop on Processing Information Ethically co-located with 31st International Conference on Advanced Information Systems Engineering, 2019

2018

2016
Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario.
Adapt. Behav., 2016

A machine learning approach for predictive maintenance for mobile phones service providers.
Proceedings of the Advances on P2P, 2016

2015
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality.
Neural Networks, 2015

A linear approach for sparse coding by a two-layer neural network.
Neurocomputing, 2015

A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control.
Int. J. Neural Syst., 2015

2013
A system for the automatic measurement of the nuchal translucency thickness from ultrasound video stream of the foetus.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012
Programming in the brain: a neural network theoretical framework.
Connect. Sci., 2012

2011
Designing Structured Sparse Dictionaries for Sparse Representation Modeling.
Proceedings of the Computer Recognition Systems 4, 2011

Perceiving affordances: A computational investigation of grasping affordances.
Cogn. Syst. Res., 2011

A Robotic Scenario for Programmable Fixed-Weight Neural Networks Exhibiting Multiple Behaviors.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2010
From motor to sensory processing in mirror neuron computational modelling.
Biol. Cybern., 2010

An Action-tuned Neural Network Architecture for Hand Pose Estimation.
Proceedings of the ICFC-ICNC 2010, 2010

2009
A Semi-automated Method for the Measurement of the Fetal Nuchal Translucency in Ultrasound Images.
Proceedings of the Image Analysis and Processing, 2009

2008
CTRNN Parameter Learning using Differential Evolution.
Proceedings of the ECAI 2008, 2008

2007
A Neural Network Model for a View Independent Extraction of Reach-to-Grasp Action Features.
Proceedings of the Advances in Brain, 2007

2005
Mass Detection in Mammograms Using Gabor Filters and Fuzzy Clustering.
Proceedings of the Fuzzy Logic and Applications, 6th International Workshop, 2005

MEDIARAD: A Multiplatform Software Environment for Developing Imaging Applications in RADiology.
Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005

2003
Computer aided detection of clustered microcalcifications in digitized mammograms using Gabor functions.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

2002
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002.
Proceedings of The Eleventh Text REtrieval Conference, 2002

Towards Automatic Evaluation of Question/Answering Systems.
Proceedings of the Third International Conference on Language Resources and Evaluation, 2002

Is It the Right Answer? Exploiting Web Redundancy for Answer Validation.
Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 2002

2001
Specific Sequence Learning by an Adaptable Boolean Neural Network.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001

Multilingual Question/Answering: the DIOGENE System.
Proceedings of The Tenth Text REtrieval Conference, 2001

Open Domain Question/Answering on the Web.
Proceedings of the AI*IA 2001: Advances in Artificial Intelligence, 2001

2000
An Adaptable Boolean Neural Network Performing Specific Sequence Learning.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
A Boolean Neural Network Controlling Task Sequences in a Noisy Environment.
Proceedings of the Foundations and Tools for Neural Modeling, 1999

1998
A Boolean Neural Network as a Rule Based System Learning New Rules by Examples.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
On the Finite State Machine Associated to an Adaptable Boolean Neural Net.
Proceedings of the Progress in Connectionist-Based Information Systems: Proceedings of the 1997 International Conference on Neural Information Processing and Intelligent Information Systems, 1997


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