Listar por autor "Villar Flecha, José Ramón"

A comparison of blink removal techniques in EEG signals

Moncada Martins, Fernando

; González Suárez, Víctor Manuel

; García, Beatriz; Álvarez García, Víctor Manuel

; Villar Flecha, José Ramón

(2021)

A comparison of multivariate time series clustering methods

Vázquez, Iago; Villar Flecha, José Ramón

; Sedano, Javier; Simić, Svetlana (Springer, 2021)

A comparison of techniques for virtual concept drift detection

González, Manuel L.; Sedano, Javier; García Vico, Ángel M.; Villar Flecha, José Ramón

(2022)

A comparison of machine learning techniques for the detection of type-4 photoparoxysmal responses in electroencephalographic signals

Moncada Martins, Fernando

; González Suárez, Víctor Manuel

; García, Beatriz; Álvarez García, Víctor Manuel

; Villar Flecha, José Ramón

(2022)

A comparison of meta-heuristic based optimization methods using standard benchmarks

García González, Enol

; Villar Flecha, José Ramón

; Chira, C.; Sedano, J. (2022)

; Simic, D. (2019)

A hybrid bio-inspired clustering approach for diagnosing children with primary headache disorder

Simić, Svetlana; Sakač, Slađana; Banković, Zorana; Villar Flecha, José Ramón

; Simić, Svetislav D.; Simić, Dragan (Springer, 2020)

A hybrid bio-inspired tabu search clustering approach

Simic, D.; Bankovic, Z.; Villar Flecha, José Ramón

; Calvo Rolle, José Luis; Simic, S. D.; Simic, S. (2021)

A hybrid fuzzy clustering approach for diagnosing primary headache disorder

Banković, Zorana; Villar Flecha, José Ramón

; Simić, Dragan; Simić, Svetislav D (2020)

A hybrid methodology for anomaly detection in Cyber–Physical Systems

Jeffrey, N.; Tan, Q.; Villar Flecha, José Ramón

(2024)

A low-power HAR method for Fall and High-Intensity ADLs identification using wrist-worn accelerometer devices

Cal Marín, Enrique Antonio de la

; Fáñez, Mirko; Villar, Mario; Villar Flecha, José Ramón

; González, Victor M. (2022)

A new information infrastructure approach for end-to-end supply chain management

Simic, Dragan; Calvo Rolle, José Luis; Villar Flecha, José Ramón

; Ilin, Vladimir; Simic, Svetislav D.; Simic, Svetlana (2022)

A preliminary study for automatic activity labelling on an elder people ADL dataset

Cal Marín, Enrique Antonio de la

; Fáñez, Mirko; DaSilva, Álvaro; Villar Flecha, José Ramón

; Sedano, Javier; González Suárez, Víctor Manuel

(Springer, 2021)

A preliminary study on automatic detection and filtering of artifacts from EEG signals

Moncada Martins, Fernando

; González Suárez, Víctor Manuel

; Álvarez García, Víctor Manuel

; García, Beatriz; Villar Flecha, José Ramón

(2021)

A Preliminary Study on Multivariate Time Series Clustering

Váquez, I.; Villar Flecha, José Ramón

; Sedano, J.; Simic, S. (2020)

A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines

Vázquez, Iago; Villar Flecha, José Ramón

; Sedano, Javier; Simic, S.; Cal Marín, Enrique Antonio de la

(2019)

A review of anomaly detection strategies to detect threats to cyber-physical systems

Jeffrey, N.; Tan, Q.; Villar Flecha, José Ramón

(2023)

A short analysis of hybrid approaches in covid‑19 for detection and diagnosing

Simic, D.; Bankovic, Z.; Villar Flecha, José Ramón

; Calvo Rolle, J. L.; Simic, S.D.; Simic, S. (2025)

Listar por autor "Villar Flecha, José Ramón"

A comparison of blink removal techniques in EEG signals ﻿

A comparison of multivariate time series clustering methods ﻿

A comparison of techniques for virtual concept drift detection ﻿

A comparison of machine learning techniques for the detection of type-4 photoparoxysmal responses in electroencephalographic signals ﻿

A comparison of meta-heuristic based optimization methods using standard benchmarks ﻿

A comparison procedure for the evaluation of metaheuristics ﻿

A first prototype of an emotional smart speaker ﻿

A Hybrid Automatic Classification Model for Skin Tumour Images ﻿

A hybrid bio-inspired clustering approach for diagnosing children with primary headache disorder ﻿

A hybrid bio-inspired tabu search clustering approach ﻿

A hybrid fuzzy clustering approach for diagnosing primary headache disorder ﻿

A hybrid methodology for anomaly detection in Cyber–Physical Systems ﻿

A low-power HAR method for Fall and High-Intensity ADLs identification using wrist-worn accelerometer devices ﻿

A new information infrastructure approach for end-to-end supply chain management ﻿

A preliminary study for automatic activity labelling on an elder people ADL dataset ﻿

A preliminary study on automatic detection and filtering of artifacts from EEG signals ﻿

A Preliminary Study on Multivariate Time Series Clustering ﻿

A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines ﻿

A review of anomaly detection strategies to detect threats to cyber-physical systems ﻿

A short analysis of hybrid approaches in covid‑19 for detection and diagnosing ﻿

A comparison of blink removal techniques in EEG signals

A comparison of multivariate time series clustering methods

A comparison of techniques for virtual concept drift detection

A comparison of machine learning techniques for the detection of type-4 photoparoxysmal responses in electroencephalographic signals

A comparison of meta-heuristic based optimization methods using standard benchmarks

A comparison procedure for the evaluation of metaheuristics

A first prototype of an emotional smart speaker

A Hybrid Automatic Classification Model for Skin Tumour Images

A hybrid bio-inspired clustering approach for diagnosing children with primary headache disorder

A hybrid bio-inspired tabu search clustering approach

A hybrid fuzzy clustering approach for diagnosing primary headache disorder

A hybrid methodology for anomaly detection in Cyber–Physical Systems

A low-power HAR method for Fall and High-Intensity ADLs identification using wrist-worn accelerometer devices

A new information infrastructure approach for end-to-end supply chain management

A preliminary study for automatic activity labelling on an elder people ADL dataset

A preliminary study on automatic detection and filtering of artifacts from EEG signals

A Preliminary Study on Multivariate Time Series Clustering

A Proof of Concept in Multivariate Time Series Clustering Using Recurrent Neural Networks and SP-Lines

A review of anomaly detection strategies to detect threats to cyber-physical systems

A short analysis of hybrid approaches in covid‑19 for detection and diagnosing