Ignacio Rodríguez-Rodríguez
Orcid: 0000-0002-0118-3406
According to our database1,
Ignacio Rodríguez-Rodríguez
authored at least 26 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Expert Syst. Appl., March, 2024
2023
Forecasting glycaemia for type 1 diabetes mellitus patients by means of IoMT devices.
Internet Things, December, 2023
Computational approaches to Explainable Artificial Intelligence: Advances in theory, applications and trends.
Inf. Fusion, December, 2023
A Set of Laboratory Experiments for the Proper Understanding of the Photoelectric Effect Within a Teaching/Learning Context.
Rev. Iberoam. de Tecnol. del Aprendiz., August, 2023
Constrained IoT-Based Machine Learning for Accurate Glycemia Forecasting in Type 1 Diabetes Patients.
Sensors, April, 2023
EEG Interchannel Causality to Identify Source/Sink Phase Connectivity Patterns in Developmental Dyslexia.
Int. J. Neural Syst., April, 2023
Int. J. Neural Syst., April, 2023
Characterization of a Piezoelectric Acoustic Sensor Fabricated for Low-Frequency Applications: A Comparative Study of Three Methods.
Sensors, March, 2023
Neural source/sink phase connectivity in developmental dyslexia by means of interchannel causality.
CoRR, 2023
UTD-PO Solution for E-Plane Radiation Pattern Calculation of Rectangular Horn Antennas With Rectangular-Shaped Corrugations.
IEEE Access, 2023
A Novel Combined Design of Vessel and Resonant Cavity for Microwave Multi-Frequency Heating Chemical Reactor Using Antennas as Applicators.
IEEE Access, 2023
2022
On the application of machine learning in astronomy and astrophysics: A text-mining-based scientometric analysis.
WIREs Data Mining Knowl. Discov., 2022
Inter-channel Granger Causality for Estimating EEG Phase Connectivity Patterns in Dyslexia.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Towards Mixed Mode Biomarkers: Combining Structural and Functional Information by Deep Learning.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
Unraveling Dyslexia-Related Connectivity Patterns in EEG Signals by Holo-Hilbert Spectral Analysis.
Proceedings of the Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, 2022
2020
Frequency-Selective Wallpaper for Indoor Interference Reduction and MIMO Capacity Improvement.
Symmetry, 2020
An Autonomous Alarm System for Personal Safety Assurance of Intimate Partner Violence Survivors Based on Passive Continuous Monitoring through Biosensors.
Symmetry, 2020
Towards a Holistic ICT Platform for Protecting Intimate Partner Violence Survivors Based on the IoT Paradigm.
Symmetry, 2020
On the Better Performance of Pianists with Motor Imagery-Based Brain-Computer Interface Systems.
Sensors, 2020
IEEE Access, 2020
2019
Feature Selection for Blood Glucose Level Prediction in Type 1 Diabetes Mellitus by Using the Sequential Input Selection Algorithm (SISAL).
Symmetry, 2019
On the Possibility of Predicting Glycaemia 'On the Fly' with Constrained IoT Devices in Type 1 Diabetes Mellitus Patients.
Sensors, 2019
Utility of Big Data in Predicting Short-Term Blood Glucose Levels in Type 1 Diabetes Mellitus Through Machine Learning Techniques.
Sensors, 2019
2018
Commissioning of the Controlled and Automatized Testing Facility for Human Behavior and Control (CASITA).
Sensors, 2018
2017
On predicting glycaemia in type 1 diabetes mellitus patients by using support vector machines.
Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017