Alejandro Baldominos Gómez

Orcid: 0000-0002-8906-7572

Affiliations:
  • Charles III University of Madrid, Spain


According to our database1, Alejandro Baldominos Gómez authored at least 36 papers between 2014 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2023
HERAS: A Modular Matlab Tool Using Physical Optics for the Analysis of Reflector Antennas.
Sensors, February, 2023

2022
Closed-Form Power Normalization Methods for a Satellite MIMO System.
Sensors, 2022

AWS PredSpot: Machine Learning for Predicting the Price of Spot Instances in AWS Cloud.
Int. J. Interact. Multim. Artif. Intell., 2022

2020
On the automated, evolutionary design of neural networks: past, present, and future.
Neural Comput. Appl., 2020

Infection prediction using physiological and social data in social environments.
Inf. Process. Manag., 2020

Editor's Note. Towards Blockchain Intelligence.
Int. J. Interact. Multim. Artif. Intell., 2020

Blockverse: A Cloud Blockchain-based Platform for Tracking in Affiliate Systems.
Int. J. Interact. Multim. Artif. Intell., 2020

SARS-CoV-2 Impact on Online Teaching Methodologies and the Ed-Tech Sector: Smile and Learn Platform Case Study.
CoRR, 2020

Predicting Infections Using Computational Intelligence - A Systematic Review.
IEEE Access, 2020

2019
Data-Driven Interaction Review of an Ed-Tech Application.
Sensors, 2019

A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices.
Sensors, 2019

Editor's Note. Towards an Intelligent Society: Advances in Marketing and Neuroscience.
Int. J. Interact. Multim. Artif. Intell., 2019

Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-Based Distributed Deep Learning.
Entropy, 2019

Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning.
Complex., 2019

On Computer-Aided Prognosis of Septic Shock from Vital Signs.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Infection Diagnosis using Biomedical Signals in Small Data Scenarios.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments.
Sensors, 2018

Improving Children's Experience on a Mobile EdTech Platform through a Recommender System.
Mob. Inf. Syst., 2018

Evolutionary convolutional neural networks: An application to handwriting recognition.
Neurocomputing, 2018

DataCare: Big Data Analytics Solution for Intelligent Healthcare Management.
Int. J. Interact. Multim. Artif. Intell., 2018

Comparison of Recommender Systems in an Ed-Tech Application.
CoRR, 2018

Identifying Real Estate Opportunities using Machine Learning.
CoRR, 2018

Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

2017
A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition.
Sensors, 2017

Beyond social graphs: mining patterns underlying social interactions.
Pattern Anal. Appl., 2017

Feature selection for physical activity recognition using genetic algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Optimizing EEG energy-based seizure detection using genetic algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Real-Time Prediction of Gamers Behavior Using Variable Order Markov and Big Data Technology: A Case of Study.
Int. J. Interact. Multim. Artif. Intell., 2016

Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity Recognition.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
OpinAIS: An Artificial Immune System-based Framework for Opinion Mining.
Int. J. Interact. Multim. Artif. Intell., 2015

Monte Carlo Schemata Searching for Physical Activity Recognition.
Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems, 2015

Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

An Approach to Physical Rehabilitation Using State-of-the-art Virtual Reality and Motion Tracking Technologies.
Proceedings of the Conference on ENTERprise Information Systems/International Conference on Project MANagement/Conference on Health and Social Care Information Systems and Technologies, 2015

Learning Levels of Mario AI Using Genetic Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2015

2014
An Approach to Circumstantial Knowledge Management for Human-Like Interaction.
Proceedings of the ICEIS 2014, 2014

A scalable machine learning online service for big data real-time analysis.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014


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