Publications by authors named "Virginia de Sa"

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Fostering Multidisciplinary Collaboration in Artificial Intelligence and Machine Learning Education: Tutorial Based on the AI-READI Bootcamp.
Taiki W Nishihara, Fritz Gerald P Kalaw, Adelle Engmann, Aya Motoyoshi, Paapa Mensah-Kane, Virginia R de Sa, Sally L Baxter

JMIR Med Educ· December 2025

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Deep Learning for Time-Series Segmentation of Mechanical Ventilator Waveforms.
Preeti Gupta, Aditya Nemani, Virginia R de Sa, Alex K Pearce, Shamim Nemati

Res Sq· November 2025

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Brain-Body Coupling in Listening to Metronomic Sounds and Music.
Abhinav Uppal, Min Suk Lee, Teng Fei, Adyant Balaji, Zhaoyi Liu, Virginia R De Sa

Annu Int Conf IEEE Eng Med Biol Soc· July 2025

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Development and Characterization of Zinc Dry Electrodes for Wearable Electrophysiology.
Cassia Rizq, Alessandro D'Amico, Aidan Truel, Joelle Faybishenko, Min Suk Lee, Virginia R de Sa

Annu Int Conf IEEE Eng Med Biol Soc· July 2024

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Automated Pain Assessment in Children Using Electrodermal Activity and Video Data Fusion via Machine Learning.
Busra Susam, Nathan Riek, Murat Akcakaya, Xiaojing Xu, Virginia de Sa

IEEE Trans Biomed Eng· January 2022

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Personalized Pain Detection in Facial Video with Uncertainty Estimation.
Xiaojing Xu, Virginia R de Sa

Annu Int Conf IEEE Eng Med Biol Soc· November 2021

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Hybrid brain-computer interface with motor imagery and error-related brain activity.
Mahta Mousavi, Laurens R Krol, Virginia R de Sa

J Neural Eng· October 2020

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Temporally Adaptive Common Spatial Patterns with Deep Convolutional Neural Networks.
Mahta Mousavi, Virginia R de Sa

Annu Int Conf IEEE Eng Med Biol Soc· July 2019

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Single-Trial EEG Analysis Predicts Memory Retrieval and Reveals Source-Dependent Differences.
Eunho Noh, Kueida Liao, Matthew V Mollison, Tim Curran, Virginia R de Sa

Front Hum Neurosci· July 2018

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Automated Pain Assessment using Electrodermal Activity Data and Machine Learning.
Busra T Susam, Murat Akcakaya, Hooman Nezamfar, Damaris Diaz, Xiaojing Xu, Virginia R de Sa

Annu Int Conf IEEE Eng Med Biol Soc· July 2018

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Automated Pain Detection in Facial Videos of Children using Human-Assisted Transfer Learning.
Xiaojing Xu, Kenneth D Craig, Damaris Diaz, Matthew S Goodwin, Murat Akcakaya, Büşra Tuğçe Susam, Virginia R de Sa

CEUR Workshop Proc· July 2018

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Youth and Parent Appraisals of Participation in a Study of Spontaneous and Induced Pediatric Clinical Pain.
Kara Hawley, Jeannie S Huang, Matthew Goodwin, Damaris Diaz, Virginia R de Sa

Ethics Behav· April 2018

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Task-phase-specific dynamics of basal forebrain neuronal ensembles.
David Tingley, Andrew S Alexander, Sean Kolbu, Virginia R de Sa, Andrea A Chiba

Front Syst Neurosci· October 2014

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Using single-trial EEG to predict and analyze subsequent memory.
Eunho Noh, Grit Herzmann, Tim Curran, Virginia R de Sa

Neuroimage· January 2014

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Effect of visual feedback on the occipital-parietal-motor network in Parkinson's disease with freezing of gait.
Priya D Velu, Tim Mullen, Eunho Noh, Matthew C Valdivia, Howard Poizner, Virginia R de Sa

Front Neurol· January 2014

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Single-trial classification of gait and point movement preparation from human EEG.
Priya D Velu, Virginia R de Sa

Front Neurosci· June 2013

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Dynamic brightness induction causes flicker adaptation, but only along the edges: evidence against the neural filling-in of brightness.
Alan E Robinson, Virginia R de Sa

J Vis· May 2013

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Spatial properties of flicker adaptation.
Alan E Robinson, Virginia R de Sa

Vision Res· October 2012

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Sleeping our way to weight normalization and stable learning.
Thomas J Sullivan, Virginia R de Sa

Neural Comput· December 2008

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Brief presentations reveal the temporal dynamics of brightness induction and White's illusion.
Alan E Robinson, Virginia R de Sa

Vision Res· October 2008

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In the footsteps of biological motion and multisensory perception: judgments of audiovisual temporal relations are enhanced for upright walkers.
Ayse Pinar Saygin, Jon Driver, Virginia R de Sa

Psychol Sci· May 2008

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Explaining brightness illusions using spatial filtering and local response normalization.
Alan E Robinson, Paul S Hammon, Virginia R de Sa

Vision Res· June 2007

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Preprocessing and meta-classification for brain-computer interfaces.
Paul S Hammon, Virginia R de Sa

IEEE Trans Biomed Eng· March 2007

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Homeostatic synaptic scaling in self-organizing maps.
Thomas J Sullivan, Virginia R de Sa

Neural Netw· October 2006

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A model of surround suppression through cortical feedback.
Thomas J Sullivan, Virginia R de Sa

Neural Netw· June 2006

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