Mario Muñoz-Organero (Mario Munoz-Organero)

Scopus Author ID ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 11

Top Topics

Endoplasmic Reticulum

Coronavirus Disease

Machine Learning

Top Venues

Sensors (Basel, Switzerland)

Journal of healthcare engineering

Computational intelligence and neuroscience

This page only lists publications with an associated author ORCID identifier.

Publications

Mario Muñoz-Organero, Paula Queipo-Alvarez
Deep Spatiotemporal Model for COVID-19 Forecasting. Sensors (Basel, Switzerland) 22 (9) (2022)
Mario Muñoz-Organero
Space-Distributed Traffic-Enhanced LSTM-Based Machine Learning Model for COVID-19 Incidence Forecasting. Computational intelligence and neuroscience 2022 (2022)
Marlon Burbano-Fernandez, Jhoana Sandoval-Serna, Yilton Riascos, Mario Muñoz-Organero, M Thilagaraj, V Venkataraman, N Arunkumar, Gustavo Ramirez-Gonzalez
Algorithm for the Comparison of Human Periodic Movements Using Wearable Devices. Journal of healthcare engineering 2021 (2021)
Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Angela Chantre-Astaiza, Mario Muñoz-Organero, Gustavo Ramirez-Gonzalez
Tourist Experiences Recommender System Based on Emotion Recognition with Wearable Data. Sensors (Basel, Switzerland) 21 (23) (2021)
Mario Muñoz-Organero, Paula Queipo-Álvarez, Boni García Gutiérrez
Learning Carbohydrate Digestion and Insulin Absorption Curves Using Blood Glucose Level Prediction and Deep Learning Models. Sensors (Basel, Switzerland) 21 (14) (2021)
Laura Martínez-Delgado, Mario Muñoz-Organero, Paula Queipo-Alvarez
Using Absorption Models for Insulin and Carbohydrates and Deep Leaning to Improve Glucose Level Predictions. Sensors (Basel, Switzerland) 21 (16) (2021)
Angel Peinado-Contreras, Mario Muñoz-Organero
Gait-Based Identification Using Deep Recurrent Neural Networks and Acceleration Patterns. Sensors (Basel, Switzerland) 20 (23) (2020)
Mario Muñoz-Organero
Deep Physiological Model for Blood Glucose Prediction in T1DM Patients. Sensors (Basel, Switzerland) 20 (14) (2020)
Mario Muñoz-Organero, Lauren Powell, Ben Heller, Val Harpin, Jack Parker
Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle. Sensors (Basel, Switzerland) 19 (13) (2019)
Mario Muñoz-Organero, Lauren Powell, Ben Heller, Val Harpin, Jack Parker
Automatic Extraction and Detection of Characteristic Movement Patterns in Children with ADHD Based on a Convolutional Neural Network (CNN) and Acceleration Images. Sensors (Basel, Switzerland) 18 (11) (2018)
Mario Muñoz-Organero, Ramona Ruiz-Blázquez
Detecting Steps Walking at very Low Speeds Combining Outlier Detection, Transition Matrices and Autoencoders from Acceleration Patterns. Sensors (Basel, Switzerland) 17 (10) (2017)