Mario Organero-Munoz

Leganes, MD 28911, Spain

Last Updated: 09/26/2026

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Found 16 publications

A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid.

A new RNN based machine learning model to forecast COVID-19 incidence, enhanced by the use of mobility data from the bike-sharing service in Madrid.

Journal: Heliyon

Published: April 06, 2023

Space-Distributed Traffic-Enhanced LSTM-Based Machine Learning Model for COVID-19 Incidence Forecasting.

Space-Distributed Traffic-Enhanced LSTM-Based Machine Learning Model for COVID-19 Incidence Forecasting.

Journal: Computational intelligence and neuroscience

Published: July 08, 2022

Deep Spatiotemporal Model for COVID-19 Forecasting.

Deep Spatiotemporal Model for COVID-19 Forecasting.

Journal: Sensors (Basel, Switzerland)

Published: April 07, 2022

Algorithm for the Comparison of Human Periodic Movements Using Wearable Devices.

Algorithm for the Comparison of Human Periodic Movements Using Wearable Devices.

Journal: Journal of healthcare engineering

Published: October 03, 2021

Tourist Experiences Recommender System Based on Emotion Recognition with Wearable Data.

Tourist Experiences Recommender System Based on Emotion Recognition with Wearable Data.

Journal: Sensors (Basel, Switzerland)

Published: October 01, 2021

Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions.

Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions.

Journal: Sensors (Basel, Switzerland)

Published: June 25, 2021

Learning Carbohydrate Digestion and Insulin Absorption Curves Using Blood Glucose Level Prediction and Deep Learning Models.

Learning Carbohydrate Digestion and Insulin Absorption Curves Using Blood Glucose Level Prediction and Deep Learning Models.

Journal: Sensors (Basel, Switzerland)

Published: May 25, 2021

Gait-Based Identification Using Deep Recurrent Neural Networks and Acceleration Patterns.

Gait-Based Identification Using Deep Recurrent Neural Networks and Acceleration Patterns.

Journal: Sensors (Basel, Switzerland)

Published: November 10, 2020

Deep Physiological Model for Blood Glucose Prediction in T1DM Patients.

Deep Physiological Model for Blood Glucose Prediction in T1DM Patients.

Journal: Sensors (Basel, Switzerland)

Published: June 02, 2020

Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Journal: Sensors (Basel, Switzerland)

Published: June 05, 2019

Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images.

Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images.

Journal: Sensors (Basel, Switzerland)

Published: October 03, 2018

Assessing Gait Impairments Based on Auto-Encoded Patterns of Mahalanobis Distances from Consecutive Steps.

Assessing Gait Impairments Based on Auto-Encoded Patterns of Mahalanobis Distances from Consecutive Steps.

Journal: Studies in health technology and informatics

Published: September 07, 2017

Showing 1-12 of 16

Last Updated: 09/26/2026