Diego Miranda
Valparaiso University
11 Papers
11 Citations
Diego Miranda is an academic researcher from Valparaiso University. The author has contributed to research in topics: Computer science & Teamwork. The author has an hindex of 2, co-authored 3 publications.
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Papers
Where are You? Exploring Micro-Location in Indoor Learning Environments
Fabián Riquelme,Rene Noel,Hector Cornide-Reyes,Gustavo Geldes,Cristian Cechinel,Diego Miranda,Rodolfo Villarroel,Roberto Munoz +7 more
TL;DR: This work proposes the use of beacons to collect geolocation data from students who carry out collaborative tasks that involve movement and interactions through space, and suggests new ways to analyze, visualize, and interpret the data obtained.
Using Depth Cameras to Detect Patterns in Oral Presentations: A Case Study Comparing Two Generations of Computer Engineering Students.
Felipe Roque,Cristian Cechinel,Tiago Oliveira Weber,Robson Rodrigues Lemos,Rodolfo Villarroel,Diego Miranda,Roberto Munoz +6 more
TL;DR: To understand and detect patterns in oral student presentations, data is collected from 222 fresh students at three different times, over two different years (2017 and 2018), and 12 features related to corporal postures and oral speaking are detected.
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Visualizing Collaboration in Teamwork: A Multimodal Learning Analytics Platform for Non-Verbal Communication
René Noël,Diego Miranda,Cristian Cechinel,Fabián Riquelme,Tiago Thompsen Primo,Roberto Munoz +5 more
TL;DR: The results show that the measurements and visualizations are helpful to understand differences in collaboration, confirming the feasibility the MMLA approach for assessing and providing collaboration insights based on non-verbal communication.
Improvement of Patient Classification Using Feature Selection Applied to Bidirectional Axial Transmission
TL;DR: The aim of the study is to improve the patient classification using a feature selection strategy for all available ultrasound features completed by clinical parameters, and three classical feature ranking methods were considered: analysis of variance (ANOVA), recursive feature elimination (RFE), and extreme gradient boosting importance feature (XGBI).
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