Maria Monzon
Maria Monzon
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Machine Learning
Deep Learning based reach-and-grasp EEG decoder
Research internship project where I conducted literature-review and compare state-of-the-art analysis used in EEG signal processing. Implemented DL pipeline to decode grasping action from EEG
Code
Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
Automatic derived parameter for valve motion assessment and interactive visualization dashboard for cluster analysis and anomaly detec.
Financial Transaction Text Clasifier
Multinomial Bayes Text classifier to categorized financial transactions into seven types
Code
Adaptive Frame Rate for Egocentric Video
New adaptive sampling strategy based on a motion context measure for ego +centric video was developed. The new method enables to save energy keeping a promising performance rate.
PDF
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ECG-based algorithm for Annotation of Resuscitation Episode
B.Sc. Thesis where I implemented a GUI to help ECG annotations and developed a machine learning algorithm to retrospectively classify arrhythmia based on 5 more discriminative ECG features
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