Ignacio Rodríguez-Rodríguez

Orcid: 0000-0002-0118-3406

According to our database1, Ignacio Rodríguez-Rodríguez authored at least 31 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Analyzing radiowave multiple diffraction from a low transmitter in vegetated urban areas using a spherical-wave UTD-PO approach.
EURASIP J. Wirel. Commun. Netw., December, 2024

IoMT innovations in diabetes management: Predictive models using wearable data.
Expert Syst. Appl., March, 2024

Causal Mechanisms of Dyslexia via Connectogram Modeling of Phase Synchrony.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 2024

Dual-System Recommendation Architecture for Adaptive Reading Intervention Platform for Dyslexic Learners.
Proceedings of the Bioinspired Systems for Translational Applications: From Robotics to Social Engineering, 2024

Explainable Exploration of the Interplay Between HRV Features and EEG Local Connectivity Patterns in Dyslexia.
Proceedings of the Artificial Intelligence for Neuroscience and Emotional Systems, 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.
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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

Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data.
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

Exploring the Parametric Effect in Nonlinear Acoustic Waves.
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

PARDOS: An Educational Software Tool for the Analysis of Sound Propagation.
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


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