Alejandro Baldominos

31 papers B 4Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A Modular Approach for the Design of Quadruple Ridged Flared Horn Antenna Feeds. IEEE Access Óscar García-Pérez, Félix Tercero, Alejandro Baldominos, Gabriel Gómez-Molina, Alberto García-Merino, David Regajo-Rodríguez, Rocio Sánchez-Montero
2023	J	`jnl`	HERAS: A Modular Matlab Tool Using Physical Optics for the Analysis of Reflector Antennas. Sensors Alejandro Baldominos, Salvador Mercader-Pellicer, George Goussetis, Alberto Mengali, Nelson J. G. Fonseca
2022	J	`jnl`	Closed-Form Power Normalization Methods for a Satellite MIMO System. Sensors Andrea Segneri, Alejandro Baldominos, George Goussetis, Alberto Mengali, Nelson J. G. Fonseca
2020	J	`jnl`	Infection prediction using physiological and social data in social environments. Inf. Process. Manag. Alejandro Baldominos, Hasan Ogul, Ricardo Colomo-Palacios, José Sanz Moreno, José Manuel Gómez-Pulido
2020	J	`jnl`	On the automated, evolutionary design of neural networks: past, present, and future. Neural Comput. Appl. Alejandro Baldominos, Yago Saez, Pedro Isasi
2020	J	`jnl`	Predicting Infections Using Computational Intelligence - A Systematic Review. IEEE Access Alejandro Baldominos, Adráan Puello, Hasan Ogul, Tunç Asuroglu, Ricardo Colomo-Palacios
2020	J	`jnl`	SARS-CoV-2 Impact on Online Teaching Methodologies and the Ed-Tech Sector: Smile and Learn Platform Case Study. CoRR Natalia Lara Nieto-Márquez, Alejandro Baldominos, Almudena González Petronila
2019	J	`jnl`	A Comparison of Machine Learning and Deep Learning Techniques for Activity Recognition using Mobile Devices. Sensors Alejandro Baldominos, Alejandro Cervantes, Yago Saez, Pedro Isasi
2019	J	`jnl`	Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-Based Distributed Deep Learning. Entropy Alejandro Baldominos, Yago Saez
2019	J	`jnl`	Coin.AI: A Proof-of-Useful-Work Scheme for Blockchain-based Distributed Deep Learning. CoRR Alejandro Baldominos, Yago Saez
2019	J	`jnl`	Data-Driven Interaction Review of an Ed-Tech Application. Sensors Alejandro Baldominos, David Quintana
2019	J	`jnl`	Hybridizing Evolutionary Computation and Deep Neural Networks: An Approach to Handwriting Recognition Using Committees and Transfer Learning. Complex. Alejandro Baldominos, Yago Saez, Pedro Isasi
2019	B	`conf`	Infection Diagnosis using Biomedical Signals in Small Data Scenarios. CBMS Alejandro Baldominos, Hasan Ogul, Ricardo Colomo-Palacios
2019	B	`conf`	On Computer-Aided Prognosis of Septic Shock from Vital Signs. CBMS Hasan Ogul, Alejandro Baldominos, Tunç Asuroglu, Ricardo Colomo-Palacios
2018	J	`jnl`	Comparison of Recommender Systems in an Ed-Tech Application. CoRR Alejandro Baldominos, David Quintana
2018	J	`jnl`	Evolutionary Design of Convolutional Neural Networks for Human Activity Recognition in Sensor-Rich Environments. Sensors Alejandro Baldominos, Yago Saez, Pedro Isasi
2018	J	`jnl`	Evolutionary convolutional neural networks: An application to handwriting recognition. Neurocomputing Alejandro Baldominos, Yago Saez, Pedro Isasi
2018	J	`jnl`	Identifying Real Estate Opportunities using Machine Learning. CoRR Alejandro Baldominos, Antonio José Moreno, Rubén Iturrarte, Óscar Bernárdez, Carlos Afonso
2018	J	`jnl`	Improving Children's Experience on a Mobile EdTech Platform through a Recommender System. Mob. Inf. Syst. Almudena Ruiz-Iniesta, Luis Melgar, Alejandro Baldominos, David Quintana
2018	—	`conf`	Model Selection in Committees of Evolved Convolutional Neural Networks Using Genetic Algorithms. IDEAL (1) Alejandro Baldominos, Yago Saez, Pedro Isasi
2017	J	`jnl`	A Comparison Study of Classifier Algorithms for Cross-Person Physical Activity Recognition. Sensors Yago Sáez, Alejandro Baldominos, Pedro Isasi
2017	J	`jnl`	Beyond social graphs: mining patterns underlying social interactions. Pattern Anal. Appl. Alejandro Baldominos, Francisco Javier Calle-Gómez, Dolores Cuadra
2017	B	`conf`	Feature selection for physical activity recognition using genetic algorithms. CEC Alejandro Baldominos, Pedro Isasi Viñuela, Yago Sáez
2017	B	`conf`	Optimizing EEG energy-based seizure detection using genetic algorithms. CEC Alejandro Baldominos, Clara Ramon-Lozano
2016	—	`conf`	Exploring the Application of Hybrid Evolutionary Computation Techniques to Physical Activity Recognition. GECCO (Companion) Alejandro Baldominos, Carmen del Barrio, Yago Sáez
2015	—	`conf`	An Approach to Physical Rehabilitation Using State-of-the-art Virtual Reality and Motion Tracking Technologies. CENTERIS/ProjMAN/HCist Alejandro Baldominos, Yago Saez, María Cristina García del Pozo
2015	—	`conf`	Feature Set Optimization for Physical Activity Recognition Using Genetic Algorithms. GECCO (Companion) Alejandro Baldominos, Yago Sáez, Pedro Isasi
2015	—	`conf`	Learning Levels of Mario AI Using Genetic Algorithms. CAEPIA Alejandro Baldominos, Yago Sáez, Gustavo Recio, Francisco Javier Calle
2015	—	`conf`	Monte Carlo Schemata Searching for Physical Activity Recognition. INCoS Alejandro Baldominos, Pedro Isasi, Yago Sáez, Bernard Manderick
2014	—	`conf`	A scalable machine learning online service for big data real-time analysis. CIBD Alejandro Baldominos, Esperanza Albacete, Yago Sáez, Pedro Isasi
2014	—	`conf`	An Approach to Circumstantial Knowledge Management for Human-Like Interaction. ICEIS (3) Alejandro Baldominos, Francisco Javier Calle-Gómez, Dolores Cuadra