Arcangelo Merla
According to our database1,
Arcangelo Merla
authored at least 47 papers
between 2004 and 2024.
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Bibliography
2024
Data-Driven Identification of Stroke through Machine Learning Applied to Complexity Metrics in Multimodal Electromyography and Kinematics.
Entropy, July, 2024
Development of 2400-2450 MHz Frequency Band RF Energy Harvesting System for Low-Power Device Operation.
Sensors, May, 2024
Machine Learning-Assisted Speech Analysis for Early Detection of Parkinson's Disease: A Study on Speaker Diarization and Classification Techniques.
Sensors, March, 2024
2023
Int. J. Soc. Robotics, March, 2023
Frontiers Artif. Intell., February, 2023
Can Data-Driven Supervised Machine Learning Approaches Applied to Infrared Thermal Imaging Data Estimate Muscular Activity and Fatigue?
Sensors, January, 2023
IEEE Access, 2023
2022
Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach.
Sensors, 2022
Classification of Drivers' Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals.
Sensors, 2022
Prefrontal cortical activation associated with prospective memory while walking around a real-world street environment.
NeuroImage, 2022
2021
A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking.
Sensors, 2021
Improving Human-Robot Interaction by Enhancing NAO Robot Awareness of Human Facial Expression.
Sensors, 2021
Facilitating the Child-Robot Interaction by Endowing the Robot with the Capability of Understanding the Child Engagement: The Case of Mio Amico Robot.
Int. J. Soc. Robotics, 2021
2020
Fiberless, Multi-Channel fNIRS-EEG System Based on Silicon Photomultipliers: Towards Sensitive and Ecological Mapping of Brain Activity and Neurovascular Coupling.
Sensors, 2020
Electroencephalography-Derived Prognosis of Functional Recovery in Acute Stroke Through Machine Learning Approaches.
Int. J. Neural Syst., 2020
Working Memory Decline in Alzheimer's Disease Is Detected by Complexity Analysis of Multimodal EEG-fNIRS.
Entropy, 2020
Thermal Infrared Imaging and Artificial Intelligence Techniques Can Support Mild Alzheimer Disease Diagnosis (short paper).
Proceedings of the Italian Workshop on Artificial Intelligence for an Ageing Society 2020 co-located with 19th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2020), 2020
2019
Deep Convolutional Neural Networks for Feature-Less Automatic Classification of Independent Components in Multi-Channel Electrophysiological Brain Recordings.
IEEE Trans. Biomed. Eng., 2019
Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status Assessment.
Sensors, 2019
Modelling Impulse Response Function of Functional Infrared Imaging for General Linear Model Analysis of Autonomic Activity.
Sensors, 2019
Complexity of Frontal Cortex fNIRS Can Support Alzheimer Disease Diagnosis in Memory and Visuo-Spatial Tests.
Entropy, 2019
Wearable, Fiber-less, Multi-Channel System for Continuous Wave Functional Near Infrared Spectroscopy Based on Silicon Photomultipliers Detectors and Lock-In Amplification.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Proceedings of the Sensors, 2018
Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018
Functional Near Infrared Spectroscopy System Validation for Simultaneous EEG-FNIRS Measurements.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2018
2017
New Frontiers for Applications of Thermal Infrared Imaging Devices: Computational Psychopshysiology in the Neurosciences.
Sensors, 2017
A novel GLM-based method for the Automatic IDentification of functional Events (AIDE) in fNIRS data recorded in naturalistic environments.
NeuroImage, 2017
Flexible CW-fNIRS system based on Silicon Photomultipliers: In-vivo characterization of sensorimotor response.
Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017
2015
J. Cogn. Neurosci., 2015
Comput. Math. Methods Medicine, 2015
2014
Fast optical signals in the sensorimotor cortex: General Linear Convolution Model applied to multiple source-detector distance-based data.
NeuroImage, 2014
Proceedings of the PhyCS 2014, 2014
The thermal dimension of psychophysiological and emotional responses revealed by thermal infrared imaging.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
Fast optical signal in visual cortex: Improving detection by General Linear Convolution Model.
NeuroImage, 2013
Scleroderma capillary pattern identification using texture descriptors and ensemble classification.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the 2012 Fifth International Conference on Emerging Trends in Engineering and Technology, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
2009
2007
IEEE Trans. Biomed. Eng., 2007
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
Dynamics of male sexual arousal: distinct components of brain activation revealed by fMRI.
NeuroImage, 2005
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
2004
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004