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Roberto Prevete

A survey on modern trainable activation functions
2021 · Andrea Apicella, Francesco Donnarumma, et al. · Neural Networks · 587
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Is it the right answer?
2001 · Bernardo Magnini, Matteo Negri, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 167
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Don’t push the button! Exploring data leakage risks in machine learning and transfer learning
2025 · Andrea Apicella, Francesco Isgrò, et al. · Artificial Intelligence Review · 156
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A Wearable EEG Instrument for Real-Time Frontal Asymmetry Monitoring in Worker Stress Analysis
2020 · Pasquale Arpaia, Nicola Moccaldi, et al. · IEEE Transactions on Instrumentation and Measurement · 146
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On the effects of data normalization for domain adaptation on EEG data
2023 · Andrea Apicella, Francesco Isgrò, et al. · Engineering Applications of Artificial Intelligence · 79
Neural networks with non-uniform embedding and explicit validation phase to assess Granger causality
2015 · Alessandro Montalto, Sebastiano Stramaglia, et al. · Neural Networks · 75
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Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods
2024 · Andrea Apicella, Pasquale Arpaia, et al. · Neurocomputing · 67
Semi-Supervised Detection of Structural Damage Using Variational Autoencoder and a One-Class Support Vector Machine
2023 · Andrea Pollastro, Giusiana Testa, et al. · IEEE Access · 58
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A WordNet-based approach to Named Entities recognition
2002 · Bernardo Magnini, Matteo Negri, et al. · 51
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Exploring Nutritional Influence on Blood Glucose Forecasting for Type 1 Diabetes Using Explainable AI
2023 · Giovanni Annuzzi, Andrea Apicella, et al. · IEEE Journal of Biomedical and Health Informatics · 49
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Machine learning for beam dynamics studies at the CERN Large Hadron Collider
2020 · P. Arpaia, G. Azzopardi, et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 49
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Enhancement of SSVEPs Classification in BCI-Based Wearable Instrumentation Through Machine Learning Techniques
2022 · Andrea Apicella, Pasquale Arpaia, et al. · IEEE Sensors Journal · 44
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Impact of Nutritional Factors in Blood Glucose Prediction in Type 1 Diabetes Through Machine Learning
2023 · Giovanni Annuzzi, Andrea Apicella, et al. · IEEE Access · 43
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A simple and efficient architecture for trainable activation functions
2019 · Andrea Apicella, Francesco Isgrò, et al. · Neurocomputing · 39
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Conceptual design of a machine learning-based wearable soft sensor for non-invasive cardiovascular risk assessment
2020 · Pasquale Arpaia, Renato Cuocolo, et al. · Measurement · 38
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Assessment of blood perfusion quality in laparoscopic colorectal surgery by means of Machine Learning
2022 · Pasquale Arpaia, Umberto Bracale, et al. · Scientific Reports · 35
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Adaptive filters in Graph Convolutional Neural Networks
2023 · Andrea Apicella, Francesco Isgrò, et al. · Pattern Recognition · 30
The MAGIC-5 project: medical applications on a grid infrastructure connection
2005 · R. Bellotti, S. Bagnasco, et al. · IEEE Symposium Conference Record Nuclear Science 2004. · 30
Hierarchical and multiple hand action representation using temporal postural synergies
2012 · G. Tessitore, C. Sinigaglia, et al. · Experimental Brain Research · 29
Evidence for sparse synergies in grasping actions
2018 · Roberto Prevete, Francesco Donnarumma, et al. · Scientific Reports · 28
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Multilingual Question/Answering: the DIOGENE System.
2001 · Bernardo Magnini, Matteo Negri, et al. · Text REtrieval Conference · 25
Employment of Domain Adaptation Techniques in SSVEP-Based Brain–Computer Interfaces
2023 · Andrea Apicella, Pasquale Arpaia, et al. · IEEE Access · 22
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A Programmer–Interpreter Neural Network Architecture for Prefrontal Cognitive Control
2015 · Francesco Donnarumma, Roberto Prevete, et al. · International Journal of Neural Systems · 22
Mining Knowledge from Repeated Co-Occurrences: DIOGENE at TREC 2002.
2002 · Bernardo Magnini, Matteo Negri, et al. · 22
From motor to sensory processing in mirror neuron computational modelling
2010 · Giovanni Tessitore, Roberto Prevete, et al. · Biological Cybernetics · 20
Works count: 120
Citation count: 2,307
H-index: 22
I10-index: 41
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