Marco Bilucaglia

According to our database, Marco Bilucaglia authored at least 11 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Bioelectrical Measurements of Lenses Effect During Esports Training Sessions: Could the Yellow Lenses Enhance Gaming Performance?

Marco Bilucaglia, Rita Laureanti, Margherita Zito, Alessandro Fici, Fiamma Rivetti, Mara Bellati, S. Accardi, S. Wahl, Luca T. Mainardi, Vincenzo Russo

Proceedings of the IEEE Gaming, Entertainment, and Media Conference, 2024

2022

Spectral differences in resting-state EEG associated to individual Emotional Styles.

Marco Bilucaglia, Rita Laureanti, Riccardo Circi, Margherita Zito, Mara Bellati, Alessandro Fici, Fiamma Rivetti, Luca T. Mainardi, Vincenzo Russo

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Yellow (Lens) Better: Bioelectrical and Biometrical Measures to Assess Arousing and Focusing Effects.

Rita Laureanti, Marco Bilucaglia, Margherita Zito, Riccardo Circi, Alessandro Fici, Fiamma Rivetti, Riccardo Valesi, Siegfried Wahl, Luca T. Mainardi, Vincenzo Russo

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

It's a Question of Methods: Computational Factors Influencing the Frontal Asymmetry in Measuring the Emotional Valence.

Marco Bilucaglia, Rita Laureanti, Margherita Zito, Riccardo Circi, Alessandro Fici, Vincenzo Russo, Luca T. Mainardi

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Applying machine learning EEG signal classification to emotion‑related brain anticipatory activity.

Marco Bilucaglia, Gian Marco Duma, Giovanni Mento, Luca Semenzato, Patrizio Tressoldi

F1000Research, 2020

Emotion assessment using Machine Learning and low-cost wearable devices.

Rita Laureanti, Marco Bilucaglia, Margherita Zito, Riccardo Circi, Alessandro Fici, Fiamma Rivetti, Riccardo Valesi, Carlo Oldrini, Luca T. Mainardi, Vincenzo Russo

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Neurocoaching: exploring the relationship between coach and coachee by means of bioelectrical signal similarities.

Giorgio Gabrielli, Marco Bilucaglia, Margherita Zito, Rita Laureanti, Alessia Caponetto, Riccardo Circi, Alessandro Fici, Fiamma Rivetti, Riccardo Valesi, Annarita Galanto, Georg Senoner, Vincenzo Russo

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

EEG correlation at a distance: A re-analysis of two studies using a machine learning approach.

Marco Bilucaglia, Luciano Pederzoli, William Giroldini, Elena Prati, Patrizio Tressoldi

F1000Research, 2019

Looking through blue glasses: bioelectrical measures to assess the awakening after a calm situation.

Marco Bilucaglia, Rita Laureanti, Margherita Zito, Riccardo Circi, Alessandro Fici, Fiamma Rivetti, Riccardo Valesi, Siegfried Wahl, Vincenzo Russo

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2016

A new method to detect event-related potentials based on Pearson's correlation.

William Giroldini, Luciano Pederzoli, Marco Bilucaglia, Simone Melloni, Patrizio Tressoldi

EURASIP J. Bioinform. Syst. Biol., 2016

2014

Brain-to-Brain (mind-to-mind) interaction at distance: a confirmatory study.

Patrizio Tressoldi, Luciano Pederzoli, Marco Bilucaglia, Patrizio Caini, Pasquale Fedele, Alessandro Ferrini, Simone Melloni, Diana Richeldi, Florentina Richeldi, Agostino Accardo

F1000Research, 2014