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  2020 (8)
Evaluation of characterization techniques for classification of seismic-volcanic signals of the nevado del ruiz [Evaluación de técnicas de extracción de características orientado a la clasificación de señales sísmico-volcánicas del volcán nevado del ruiz]. Bravo, Y.; Narváez, E.; Cabrera, P.; Bonilla, J.; and Ordoñez, D. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020(E25): 147-158. 2020. cited By 0
Evaluation of characterization techniques for classification of seismic-volcanic signals of the nevado del ruiz [Evaluación de técnicas de extracción de características orientado a la clasificación de señales sísmico-volcánicas del volcán nevado del ruiz] [link]Paper   bibtex
Data fusion and information quality for biometric identification from multimodal signals [Modelo jdl y calidad de la información para identificación biométrica a partir de señales multimodales: Estudio exploratorio]. Becerra, M.; Lasso-Arciniegas, L.; Viveros, A.; Serna-Guarín, L.; Peluffo-Ordóñez, D.; and Tobón, C. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020(E27): 445-456. 2020. cited By 0
Data fusion and information quality for biometric identification from multimodal signals [Modelo jdl y calidad de la información para identificación biométrica a partir de señales multimodales: Estudio exploratorio] [link]Paper   bibtex
Analysis of the thermal behavior in the goldwind S50/750 wind turbines installed in the wind farm gibara ii using cad-cae tools. Feliciano, Y.; Trinchet, C.; Meléndez, E.; Lorente-Leyva, L.; and Peluffo-Ordóñez, D. International Journal of Mechanical and Production Engineering Research and Development, 10(2). 2020. cited By 0
Analysis of the thermal behavior in the goldwind S50/750 wind turbines installed in the wind farm gibara ii using cad-cae tools [link]Paper   doi   bibtex
A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia. Parraga-Alava, J.; Moncayo-Nacaza, J.; Revelo-Fuelagán, J.; Rosero-Montalvo, P.; Anaya-Isaza, A.; and Peluffo-Ordóñez, D. Data in Brief, 29. 2020. cited By 0
A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia [link]Paper   doi   bibtex
Comparison of controllers and mathematical modeling of a magnetic levitator [Comparación de controladores y modelado matemático de un levitador magnético]. Herrera-Granda, E.; Herrera-Mayorga, K.; Herrera-Granda, I.; Martínez, L.; and H.peluffo-Ordoñez, D. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020(E25): 424-438. 2020. cited By 0
Comparison of controllers and mathematical modeling of a magnetic levitator [Comparación de controladores y modelado matemático de un levitador magnético] [link]Paper   bibtex
Interactive Visualization Interfaces for Big Data Analysis Using Combination of Dimensionality Reduction Methods: A Brief Review. Umaquinga-Criollo, A.; Peluffo-Ordóñez, D.; Rosero-Montalvo, P.; Godoy-Trujillo, P.; and Benítez-Pereira, H. Advances in Intelligent Systems and Computing, 1110 AISC: 193-203. 2020. cited By 0
Interactive Visualization Interfaces for Big Data Analysis Using Combination of Dimensionality Reduction Methods: A Brief Review [link]Paper   doi   bibtex
Design and Tests to Implement Hyperconvergence into a DataCenter: Preliminary Results. Maya-Olalla, E.; Dominguez-Limaico, M.; Meneses-Narvaez, S.; Rosero-Montalvo, P.; Narvaez-Pupiales, S.; Zambrano Vizuete, M.; and Peluffo-Ordóñez, D. Advances in Intelligent Systems and Computing, 1066: 54-66. 2020. cited By 0
Design and Tests to Implement Hyperconvergence into a DataCenter: Preliminary Results [link]Paper   doi   bibtex
A new approach of service platform for water optimization in lettuce crops using wireless sensor network. Maya-Olalla, E.; Domínguez-Limaico, H.; Vásquez-Ayala, C.; Jaramillo-Vinueza, E.; Zambrano V, M.; Jácome-Ortega, A.; Rosero-Montalvo, P.; and Peluffo-Ordóñez, D. Advances in Intelligent Systems and Computing, 1038: 1-13. 2020. cited By 0
A new approach of service platform for water optimization in lettuce crops using wireless sensor network [link]Paper   doi   bibtex
  2019 (24)
Artificial Neural Networks for Urban Water Demand Forecasting: A Case Study. Lorente-Leyva, L.; Pavón-Valencia, J.; Montero-Santos, Y.; Herrera-Granda, I.; Herrera-Granda, E.; and Peluffo-Ordóñez, D. 2019. cited By 1
Artificial Neural Networks for Urban Water Demand Forecasting: A Case Study [link]Paper   doi   bibtex
Classification system for corporate reputation based on financial variables [Sistema de clasificación de la reputación corporativa a partir de variables financieras]. Londoño-Montoya, E.; Becerra, M.; Murillo-Escobar, J.; Gómez-Bayona, L.; Moreno-López, G.; and Peluffo-Ordoñez, D. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2019(E20): 617-629. 2019. cited By 0
Classification system for corporate reputation based on financial variables [Sistema de clasificación de la reputación corporativa a partir de variables financieras] [link]Paper   bibtex
Medical dispenser of control and monitoring services for the elderly health care institute hogar del anciano “san vicente de paúl” from atuntaqui (Ecuador) [Dispensador médico de control y monitoreo para el Hogar del Anciano “San Vicente de Paúl” de la cuidad de Atuntaqui (Ecuador)]. Encalada-Grijalva, M.; Narváez-Pupiales, S.; Umaquinga-Criollo, A.; Suárez-Zambrano, L.; and Peluffo-Ordóñez, D. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2019(19): 595-607. 2019. cited By 0
Medical dispenser of control and monitoring services for the elderly health care institute hogar del anciano “san vicente de paúl” from atuntaqui (Ecuador) [Dispensador médico de control y monitoreo para el Hogar del Anciano “San Vicente de Paúl” de la cuidad de Atuntaqui (Ecuador)] [link]Paper   bibtex
Recognition of emotions using ICEEMD-based characterization of multimodal physiological signals. Ordonez-Bolanos, O.; Gomez-Lara, J.; Becerra, M.; Peluffo-Ordonez, D.; Duque-Mejia, C.; Medrano-David, D.; and Mejia-Arboleda, C. 2019. cited By 0
Recognition of emotions using ICEEMD-based characterization of multimodal physiological signals [link]Paper   doi   bibtex
Intelligent system for identification of wheelchair user's posture using machine learning techniques. Rosero-Montalvo, P.; Peluffo-Ordonez, D.; Lopez Batista, V.; Serrano, J.; and Rosero, E. IEEE Sensors Journal, 19(5): 1936-1942. 2019. cited By 1
Intelligent system for identification of wheelchair user's posture using machine learning techniques [link]Paper   doi   bibtex
Method for the Improvement of Knee Angle Accuracy Based on Kinect and IMU: Preliminary Results. Mayorca-Torres, D.; Caicedo-Eraso, J.; and Peluffo-Ordoñez, D. Communications in Computer and Information Science, 1068 CCIS: 184-199. 2019. cited By 0
Method for the Improvement of Knee Angle Accuracy Based on Kinect and IMU: Preliminary Results [link]Paper   doi   bibtex
Satellite-image-based crop identification using unsupervised machine learning techniques: Preliminary results. Revelo, M.; Gómez Menoza, J.; and Peluffo Ordoñez, D. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2019(E22): 337-348. 2019. cited By 0
Satellite-image-based crop identification using unsupervised machine learning techniques: Preliminary results [link]Paper   bibtex
Public urban transport optimization by means of tabu search and pso algorithms: Medellín, colombia [Optimización del transporte público urbano mediante algoritmos de búsqueda tabú y pso: Medellín, colombia]. Betancur-Delgado, L.; Becerra, M.; Duque-Mejía, C.; Peluffo-Ordóñez, D.; and Álvarez-Uribe, K. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2019(E22): 69-80. 2019. cited By 0
Public urban transport optimization by means of tabu search and pso algorithms: Medellín, colombia [Optimización del transporte público urbano mediante algoritmos de búsqueda tabú y pso: Medellín, colombia] [link]Paper   bibtex
Optimization-based algorithms applied in photovoltaic systems. Fernández, Y.; Tobar, A.; Peluffo-Ordóñez, D.; Manosalvas, T.; and Miranda, R. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2019(E22): 242-255. 2019. cited By 0
Optimization-based algorithms applied in photovoltaic systems [link]Paper   bibtex
Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study. Rosero-Montalvo, P.; López-Batista, V.; Peluffo-Ordóñez, D.; Lorente-Leyva, L.; and Blanco-Valencia, X. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11734 LNAI: 686-696. 2019. cited By 0
Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study [link]Paper   doi   bibtex
Multivariate Approach to Alcohol Detection in Drivers by Sensors and Artificial Vision. Rosero-Montalvo, P.; López-Batista, V.; Peluffo-Ordóñez, D.; Erazo-Chamorro, V.; and Arciniega-Rocha, R. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11487 LNCS: 234-243. 2019. cited By 0
Multivariate Approach to Alcohol Detection in Drivers by Sensors and Artificial Vision [link]Paper   doi   bibtex
Exploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System. Vega-Gualán, E.; Vargas, A.; Becerra, M.; Umaquinga, A.; Riascos, J.; and Peluffo, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11976 LNAI: 189-198. 2019. cited By 0
Exploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System [link]Paper   doi   bibtex
Multi-target tracking for sperm motility measurement using the kalman filter and JPDAF: Preliminary results. Mayorca-Torres, D.; Guerrero-Chapal, H.; Mejía-Manzano, J.; Lopez-Mesa, D.; Peluffo-Ordoñez, D.; and Salazar-Castro, J. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2019(E22): 282-294. 2019. cited By 0
Multi-target tracking for sperm motility measurement using the kalman filter and JPDAF: Preliminary results [link]Paper   bibtex
Low Resolution Electroencephalographic-Signals-Driven Semantic Retrieval: Preliminary Results. Becerra, M.; Londoño-Delgado, E.; Botero-Henao, O.; Marín-Castrillón, D.; Mejia-Arboleda, C.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11466 LNBI: 333-342. 2019. cited By 0
Low Resolution Electroencephalographic-Signals-Driven Semantic Retrieval: Preliminary Results [link]Paper   doi   bibtex
Optimization of the network of urban solid waste containers: A case study. Herrera-Granda, I.; Imbaquingo-Usiña, W.; Lorente-Leyva, L.; Herrera-Granda, E.; Peluffo-Ordóñez, D.; and Rossit, D. Communications in Computer and Information Science, 895: 578-589. 2019. cited By 0
Optimization of the network of urban solid waste containers: A case study [link]Paper   doi   bibtex
Artificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study. Herrera-Granda, I.; Chicaiza-Ipiales, J.; Herrera-Granda, E.; Lorente-Leyva, L.; Caraguay-Procel, J.; García-Santillán, I.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11507 LNCS: 362-373. 2019. cited By 2
Artificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study [link]Paper   doi   bibtex
Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results. Londoño-Delgado, E.; Becerra, M.; Duque-Mejía, C.; Zapata, J.; Mejía-Arboleda, C.; Castro-Ospina, A.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11466 LNBI: 363-373. 2019. cited By 0
Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results [link]Paper   doi   bibtex
Drowsiness Detection in Drivers Through Real-Time Image Processing of the Human Eye. Herrera-Granda, E.; Caraguay-Procel, J.; Granda-Gudiño, P.; Herrera-Granda, I.; Lorente-Leyva, L.; Peluffo-Ordóñez, D.; and Revelo-Fuelagán, J. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11431 LNAI: 626-637. 2019. cited By 0
Drowsiness Detection in Drivers Through Real-Time Image Processing of the Human Eye [link]Paper   doi   bibtex
Intelligence in embedded systems: Overview and applications. Rosero-Montalvo, P.; Batista, V.; Rosero, E.; Jaramillo, E.; Caraguay, J.; Pijal-Rojas, J.; and Peluffo-Ordóñez, D. Advances in Intelligent Systems and Computing, 880: 874-883. 2019. cited By 2
Intelligence in embedded systems: Overview and applications [link]Paper   doi   bibtex
Kernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trials. Oña-Rocha, O.; Riascos-Salas, J.; Marrufo-Rodríguez, I.; Páez-Jaime, M.; Mayorca-Torres, D.; Ponce-Guevara, K.; Salazar-Castro, J.; and Peluffo-Ordóñez, D. Communications in Computer and Information Science, 1068 CCIS: 30-40. 2019. cited By 0
Kernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trials [link]Paper   doi   bibtex
Optimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm. Lorente-Leyva, L.; Murillo-Valle, J.; Montero-Santos, Y.; Herrera-Granda, I.; Herrera-Granda, E.; Rosero-Montalvo, P.; Peluffo-Ordóñez, D.; and Blanco-Valencia, X. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11734 LNAI: 674-685. 2019. cited By 0
Optimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm [link]Paper   doi   bibtex
Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors. Bastidas Torres, D.; Piñeros Rodriguez, C.; Peluffo-Ordóñez, D.; Blanco Valencia, X.; Revelo-Fuelagán, J.; Becerra, M.; Castro-Ospina, A.; and Lorente-Leyva, L. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11431 LNAI: 339-350. 2019. cited By 0
Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors [link]Paper   doi   bibtex
Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals. Gómez-Lara, J.; Ordóñez-Bolaños, O.; Becerra, M.; Castro-Ospina, A.; Mejía-Arboleda, C.; Duque-Mejía, C.; Rodriguez, J.; Revelo-Fuelagán, J.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11431 LNAI: 351-362. 2019. cited By 0
Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals [link]Paper   doi   bibtex
Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study. Duque-Mejía, C.; Becerra, M.; Zapata-Hernández, C.; Mejia-Arboleda, C.; Castro-Ospina, A.; Delgado-Trejos, E.; Peluffo-Ordóñez, D.; Rosero-Montalvo, P.; and Revelo-Fuelagán, J. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11431 LNAI: 269-279. 2019. cited By 1
Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study [link]Paper   doi   bibtex
  2018 (26)
Wireless Sensor Networks for Irrigation in Crops Using Multivariate Regression Models. Rosero-Montalvo, P.; Pijal-Rojas, J.; Vasquez-Ayala, C.; Maya, E.; Pupiales, C.; Suarez, L.; Benitez-Pereira, H.; and Peluffo-Ordonez, D. 2018. cited By 0
Wireless Sensor Networks for Irrigation in Crops Using Multivariate Regression Models [link]Paper   doi   bibtex
Air quality monitoring intelligent system using machine learning techniques. Rosero-Montalvo, P.; Caraguay-Procel, J.; Jaramillo, E.; Michilena-Calderon, J.; Umaquinga-Criollo, A.; Mediavilla-Valverde, M.; Ruiz, M.; Beltran, L.; and Peluffo-Ordónez, D. 2018. cited By 1
Air quality monitoring intelligent system using machine learning techniques [link]Paper   doi   bibtex
Methodology for the design and simulation of industrial facilities and production systems based on a modular approach in an "industry 4.0" context • [Metodología para el diseño y simulación de instalaciones industriales y sistemas de producción basada en una visión modular bajo un contexto de "industria 4.0"]. Alpala, L.; Alemany, M.; Peluffo-Ordoñez, D.; Bolaños, F.; Rosero, A.; and Torres, J. DYNA (Colombia), 85(207): 243-252. 2018. cited By 0
Methodology for the design and simulation of industrial facilities and production systems based on a modular approach in an "industry 4.0" context • [Metodología para el diseño y simulación de instalaciones industriales y sistemas de producción basada en una visión modular bajo un contexto de "industria 4.0"] [link]Paper   doi   bibtex
Face detection and classification using eigenfaces and principal component analysis: Preliminary results [Detección y Clasificación de Rostros usando Eigenfaces y Análisis de Componentes Principales: Resultados Preliminares]. Mejia-Campos, R.; Nejer-Haro, D.; Recalde-Avincho, S.; Rosero-Montalvo, P.; and Peluffo-Ordonez, D. 2018. cited By 0
Face detection and classification using eigenfaces and principal component analysis: Preliminary results [Detección y Clasificación de Rostros usando Eigenfaces y Análisis de Componentes Principales: Resultados Preliminares] [link]Paper   doi   bibtex
Elderly fall detection using data classification on a portable embedded system. Rosero-Montalvo, P.; Peluffo-Ordonez, D.; Godoy, P.; Ponce, K.; Rosero, E.; Vasquez, C.; Cuzme, F.; Flores, S.; and Mera, Z. 2018. cited By 5
Elderly fall detection using data classification on a portable embedded system [link]Paper   doi   bibtex
GreenFarm-DM: A tool for analyzing vegetable crops data from a greenhouse using data mining techniques (First trial). Ponce-Guevara, K.; Palacios-Echeverria, J.; Maya-Olalla, E.; Dominguez-Limaico, H.; Suarez-Zambrano, L.; Rosero-Montalvo, P.; Peluffo-Ordonez, D.; and Alvarado-Perez, J. 2018. cited By 5
GreenFarm-DM: A tool for analyzing vegetable crops data from a greenhouse using data mining techniques (First trial) [link]Paper   doi   bibtex
Voice pathology detection using artificial neural networks and support vector machines powered by a multicriteria optimization algorithm. Areiza-Laverde, H.; Castro-Ospina, A.; and Peluffo-Ordóñez, D. Communications in Computer and Information Science, 915: 148-159. 2018. cited By 0
Voice pathology detection using artificial neural networks and support vector machines powered by a multicriteria optimization algorithm [link]Paper   doi   bibtex
Low Data Fusion Framework Oriented to Information Quality for BCI Systems. Becerra, M.; Alvarez-Uribe, K.; and Peluffo-Ordoñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10814 LNBI: 289-300. 2018. cited By 3
Low Data Fusion Framework Oriented to Information Quality for BCI Systems [link]Paper   doi   bibtex
Physiological signals fusion oriented to diagnosis - A review. Uribe, Y.; Alvarez-Uribe, K.; Peluffo-Ordoñez, D.; and Becerra, M. Communications in Computer and Information Science, 885: 1-15. 2018. cited By 2
Physiological signals fusion oriented to diagnosis - A review [link]Paper   doi   bibtex
Fingertips segmentation of thermal images and its potential use in hand thermoregulation analysis. Castro-Ospina, A.; Correa-Mira, A.; Herrera-Granda, I.; Peluffo-Ordóñez, D.; and Fandiño-Toro, H. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10870 LNAI: 455-463. 2018. cited By 0
Fingertips segmentation of thermal images and its potential use in hand thermoregulation analysis [link]Paper   doi   bibtex
Building a Nasa Yuwe language corpus and tagging with a metaheuristic approach. Martínez, L.; Cobos, C.; Muñoz, J.; Curieux, T.; Herrera-Viedma, E.; and Peluffo-Ordóñez, D. Computacion y Sistemas, 22(3): 881-894. 2018. cited By 0
Building a Nasa Yuwe language corpus and tagging with a metaheuristic approach [link]Paper   doi   bibtex
Comparative analysis between embedded-spaces-based and Kernel-based approaches for interactive data representation. Basante-Villota, C.; Ortega-Castillo, C.; Peña-Unigarro, D.; Revelo-Fuelagán, J.; Salazar-Castro, J.; and Peluffo-Ordóñez, D. Communications in Computer and Information Science, 885: 28-38. 2018. cited By 0
Comparative analysis between embedded-spaces-based and Kernel-based approaches for interactive data representation [link]Paper   doi   bibtex
Case-based reasoning systems for medical applications with improved adaptation and recovery stages. Blanco Valencia, X.; Bastidas Torres, D.; Piñeros Rodriguez, C.; Peluffo-Ordóñez, D.; Becerra, M.; and Castro-Ospina, A. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10813 LNBI: 26-38. 2018. cited By 3
Case-based reasoning systems for medical applications with improved adaptation and recovery stages [link]Paper   doi   bibtex
Computer vision-based method for automatic detection of crop rows in potato fields. García-Santillán, I.; Peluffo-Ordoñez, D.; Caranqui, V.; Pusdá, M.; Garrido, F.; and Granda, P. Advances in Intelligent Systems and Computing, 721: 355-366. 2018. cited By 3
Computer vision-based method for automatic detection of crop rows in potato fields [link]Paper   doi   bibtex
Electroencephalographic signals and emotional states for tactile pleasantness classification. Becerra, M.; Londoño-Delgado, E.; Pelaez-Becerra, S.; Castro-Ospina, A.; Mejia-Arboleda, C.; Durango, J.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11047 LNCS: 309-316. 2018. cited By 2
Electroencephalographic signals and emotional states for tactile pleasantness classification [link]Paper   doi   bibtex
Movement identification in emg signals using machine learning: A comparative study. Lasso-Arciniegas, L.; Viveros-Melo, A.; Salazar-Castro, J.; Becerra, M.; Castro-Ospina, A.; Revelo-Fuelagán, E.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11047 LNCS: 368-375. 2018. cited By 0
Movement identification in emg signals using machine learning: A comparative study [link]Paper   doi   bibtex
Odor pleasantness classification from electroencephalographic signals and emotional states. Becerra, M.; Londoño-Delgado, E.; Pelaez-Becerra, S.; Serna-Guarín, L.; Castro-Ospina, A.; Marin-Castrillón, D.; and Peluffo-Ordóñez, D. Communications in Computer and Information Science, 885: 128-138. 2018. cited By 4
Odor pleasantness classification from electroencephalographic signals and emotional states [link]Paper   doi   bibtex
Exploration of characterization and classification techniques for movement identification from EMG signals: Preliminary results. Viveros-Melo, A.; Lasso-Arciniegas, L.; Salazar-Castro, J.; Peluffo-Ordóñez, D.; Becerra, M.; Castro-Ospina, A.; and Revelo-Fuelagán, E. Communications in Computer and Information Science, 885: 139-149. 2018. cited By 0
Exploration of characterization and classification techniques for movement identification from EMG signals: Preliminary results [link]Paper   doi   bibtex
Optimization of the university transportation by contraction hierarchies method and clustering algorithms. Herrera-Granda, I.; Lorente-Leyva, L.; Peluffo-Ordóñez, D.; Valencia-Chapi, R.; Montero-Santos, Y.; Chicaiza-Vaca, J.; and Castro-Ospina, A. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10870 LNAI: 95-107. 2018. cited By 2
Optimization of the university transportation by contraction hierarchies method and clustering algorithms [link]Paper   doi   bibtex
Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems. Becerra, M.; Duque-Mejía, C.; Zapata-Hernández, C.; Peluffo-Ordóñez, D.; Serna-Guarín, L.; Delgado-Trejos, E.; Revelo-Fuelagán, E.; and Blanco Valencia, X. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11314 LNCS: 410-418. 2018. cited By 1
Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems [link]Paper   doi   bibtex
Developments on solutions of the normalized-cut-clustering problem without eigenvectors. Lorente-Leyva, L.; Herrera-Granda, I.; Rosero-Montalvo, P.; Ponce-Guevara, K.; Castro-Ospina, A.; Becerra, M.; Peluffo-Ordóñez, D.; and Rodríguez-Sotelo, J. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10878 LNCS: 318-328. 2018. cited By 4
Developments on solutions of the normalized-cut-clustering problem without eigenvectors [link]Paper   doi   bibtex
A novel color-based data visualization approach using a circular interaction model and dimensionality reduction. Salazar-Castro, J.; Rosero-Montalvo, P.; Peña-Unigarro, D.; Umaquinga-Criollo, A.; Castillo-Marrero, Z.; Revelo-Fuelagán, E.; Peluffo-Ordóñez, D.; and Castellanos-Domínguez, C. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10878 LNCS: 557-567. 2018. cited By 1
A novel color-based data visualization approach using a circular interaction model and dimensionality reduction [link]Paper   doi   bibtex
Advances in Homotopy Applied to Object Deformation. Salazar-Castro, J.; Umaquinga-Criollo, A.; Cruz-Cruz, L.; Alpala-Alpala, L.; González-Castaño, C.; Becerra-Botero, M.; Peluffo-Ordóñez, D.; and Castellanos-Domínguez, C. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10814 LNBI: 231-242. 2018. cited By 0
Advances in Homotopy Applied to Object Deformation [link]Paper   doi   bibtex
Cardiac pulse modeling using a modified van der Pol oscillator and genetic algorithms. Lopez-Chamorro, F.; Arciniegas-Mejia, A.; Imbajoa-Ruiz, D.; Rosero-Montalvo, P.; García, P.; Castro-Ospina, A.; Acosta, A.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10813 LNBI: 96-106. 2018. cited By 0
Cardiac pulse modeling using a modified van der Pol oscillator and genetic algorithms [link]Paper   doi   bibtex
Angle-based model for interactive dimensionality reduction and data visualization. Basante-Villota, C.; Ortega-Castillo, C.; Peña-Unigarro, D.; Revelo-Fuelagán, E.; Salazar-Castro, J.; Ortega-Bustamante, M.; Rosero-Montalvo, P.; Vega-Escobar, L.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11047 LNCS: 149-157. 2018. cited By 0
Angle-based model for interactive dimensionality reduction and data visualization [link]Paper   doi   bibtex
Generalized Low-Computational Cost Laplacian Eigenmaps. Salazar-Castro, J.; Peña, D.; Basante, C.; Ortega, C.; Cruz-Cruz, L.; Revelo-Fuelagán, J.; Blanco-Valencia, X.; Castellanos-Domínguez, G.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11314 LNCS: 661-669. 2018. cited By 0
Generalized Low-Computational Cost Laplacian Eigenmaps [link]Paper   doi   bibtex
  2017 (15)
Comparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study. Duarte-Salazar, C.; Orozco-Duque, A.; Tobón, C.; Peluffo-Ordóñez, D.; Luna, J.; and Becerra, M. 2017. cited By 1
Comparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study [link]Paper   doi   bibtex
Dimensionality reduction for interactive data visualization via a Geo-Desic approach. Salazar-Castro, J.; Peña-Unigarro, D.; Peluffo-Ordóñez, D.; Rosero-Montalvo, P.; Dominguez-Limaico, H.; Alvarado-Perez, J.; and Theron, R. 2017. cited By 2
Dimensionality reduction for interactive data visualization via a Geo-Desic approach [link]Paper   doi   bibtex
Segment clustering for Holter recordings analysis. Rodríguez-Sotelo, J.; Peluffo-Ordoñez, D.; López-Londoño, D.; and Castro-Ospina, A. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10337 LNCS: 456-463. 2017. cited By 1
Segment clustering for Holter recordings analysis [link]Paper   doi   bibtex
Comparison among physiological signals for biometric identification. Moreno-Revelo, M.; Ortega-Adarme, M.; Peluffo-Ordoñez, D.; Alvarez-Uribe, K.; and Becerra, M. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10585 LNCS: 436-443. 2017. cited By 4
Comparison among physiological signals for biometric identification [link]Paper   doi   bibtex
Human sit down position detection using data classification and dimensionality reduction. Rosero-Montalvo, P.; Jaramillo, D.; Flores, S.; Peluffo, D.; Alvear, V.; and Lopez, M. Advances in Science, Technology and Engineering Systems, 2(3): 749-754. 2017. cited By 4
Human sit down position detection using data classification and dimensionality reduction [link]Paper   doi   bibtex
Analysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers. Ortega-Adarme, M.; Moreno-Revelo, M.; Peluffo-Ordoñez, D.; Marín Castrillon, D.; Castro-Ospina, A.; and Becerra, M. Communications in Computer and Information Science, 735: 511-523. 2017. cited By 3
Analysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers [link]Paper   doi   bibtex
Two novel clustering performance measures based on coherence and relative assignments of clusters. Areiza-Laverde, H.; Castro-Ospina, A.; Rosero-Montalvo, P.; Peluffo-Ordóñez, D.; Rodríguez-Sotelo, J.; and Becerra-Botero, M. Communications in Computer and Information Science, 735: 792-804. 2017. cited By 0
Two novel clustering performance measures based on coherence and relative assignments of clusters [link]Paper   doi   bibtex
Data visualization using interactive dimensionality reduction and improved color-based interaction model. Rosero-Montalvo, P.; Peña-Unigarro, D.; Peluffo, D.; Castro-Silva, J.; Umaquinga, A.; and Rosero-Rosero, E. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10338 LNCS: 289-298. 2017. cited By 9
Data visualization using interactive dimensionality reduction and improved color-based interaction model [link]Paper   doi   bibtex
Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach. Rodríguez-Sotelo, J.; Osorio-Forero, A.; Jiménez-Rodríguez, A.; Restrepo-De-Mejía, F.; Peluffo-Ordoñez, D.; and Serrano, J. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10337 LNCS: 444-455. 2017. cited By 0
Sleep stages clustering using time and spectral features of EEG signals an unsupervised approach [link]Paper   doi   bibtex
Data fusion from multiple stations for estimation of PM2.5 in specific geographical location. Becerra, M.; Sánchez, M.; Carvajal, J.; Luna, J.; Peluffo-Ordóñez, D.; and Tobón, C. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10125 LNCS: 426-433. 2017. cited By 1
Data fusion from multiple stations for estimation of PM2.5 in specific geographical location [link]Paper   doi   bibtex
Automatic motion segmentation via a cumulative kernel representation and spectral clustering. Oña-Rocha, O.; Sánchez-Manosalvas, O.; Umaquinga-Criollo, A.; Rosero-Montalvo, P.; Suárez-Zambrano, L.; Rodríguez-Sotelo, J.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10585 LNCS: 406-414. 2017. cited By 1
Automatic motion segmentation via a cumulative kernel representation and spectral clustering [link]Paper   doi   bibtex
Theoretical developments for interpreting kernel spectral clustering from alternative viewpoints. Peluffo-Ordóñez, D.; Rosero-Montalvo, P.; Umaquinga-Criollo, A.; Suárez-Zambrano, L.; Domínguez-Limaico, H.; Oña-Rocha, O.; Flores-Armas, S.; and Maya-Olalla, E. Advances in Science, Technology and Engineering Systems, 2(3): 1670-1676. 2017. cited By 2
Theoretical developments for interpreting kernel spectral clustering from alternative viewpoints [link]Paper   doi   bibtex
Interactive data visualization using dimensionality reduction and dissimilarity-based representations. Peña-Unigarro, D.; Rosero-Montalvo, P.; Revelo-Fuelagán, E.; Castro-Silva, J.; Alvarado-Pérez, J.; Therón, R.; Ortega-Bustamante, C.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10585 LNCS: 461-469. 2017. cited By 4
Interactive data visualization using dimensionality reduction and dissimilarity-based representations [link]Paper   doi   bibtex
Multi-labeler classification using kernel representations and mixture of classifiers. Imbajoa-Ruiz, D.; Gustin, I.; Bolaños-Ledezma, M.; Arciniegas-Mejía, A.; Guasmayan-Guasmayan, F.; Bravo-Montenegro, M.; Castro-Ospina, A.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10125 LNCS: 343-351. 2017. cited By 0
Multi-labeler classification using kernel representations and mixture of classifiers [link]Paper   doi   bibtex
Interactive data visualization using dimensionality reduction and similarity-based representations. Rosero-Montalvo, P.; Diaz, P.; Salazar-Castro, J.; Peña-Unigarro, D.; Anaya-Isaza, A.; Alvarado-Pérez, J.; Therón, R.; and Peluffo-Ordóñez, D. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10125 LNCS: 334-342. 2017. cited By 8
Interactive data visualization using dimensionality reduction and similarity-based representations [link]Paper   doi   bibtex
  2016 (4)
Different perspectives for kernel spectral clustering: A theoretical study. Peluffo, D.; Rosero, P.; Pupiales, C.; Suarez, L.; Jaramillo, E.; Maya, E.; Michilena, J.; and Vasquez, C. 2016. cited By 0
Different perspectives for kernel spectral clustering: A theoretical study [link]Paper   doi   bibtex
Human-sitting-pose detection using data classification and dimensionality reduction. Nunez-Godoy, S.; Alvear-Puertas, V.; Realpe-Godoy, S.; Pujota-Cuascota, E.; Farinango-Endara, H.; Navarrete-Insuasti, I.; Vaca-Chapi, F.; Rosero-Montalvo, P.; and Peluffo, D. 2016. cited By 11
Human-sitting-pose detection using data classification and dimensionality reduction [link]Paper   doi   bibtex
Interactive visualization methodology of high-dimensional data with a color-based model for dimensionality reduction. Pena-Unigarro, D.; Salazar-Castro, J.; Peluffo-Ordonez, D.; Rosero-Montalvo, P.; Ona-Rocha, O.; Isaza, A.; Alvarado-Perez, J.; and Theron, R. 2016. cited By 5
Interactive visualization methodology of high-dimensional data with a color-based model for dimensionality reduction [link]Paper   doi   bibtex
On the relationship between dimensionality reduction and spectral clustering from a kernel viewpoint. Peluffo-Ordóñez, D.; Becerra, M.; Castro-Ospina, A.; Blanco-Valencia, X.; Alvarado-Pérez, J.; Therón, R.; and Anaya-Isaza, A. Advances in Intelligent Systems and Computing, 474: 255-264. 2016. cited By 1
On the relationship between dimensionality reduction and spectral clustering from a kernel viewpoint [link]Paper   doi   bibtex
  2015 (13)
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. Lee, J.; Peluffo-Ordóñez, D.; and Verleysen, M. Neurocomputing, 169: 246-261. 2015. cited By 16
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure [link]Paper   doi   bibtex
Novel spectral characteristics of the electrical current waveform to quantifying power quality on LED lamps. Peluffo-Ordóñez, D.; and Revelo-Fuelagán, E. 2015. cited By 0
Novel spectral characteristics of the electrical current waveform to quantifying power quality on LED lamps [link]Paper   doi   bibtex
Knowledge discovery in databases from a perspective of intelligent information visualization. Alvarado-Pérez, J.; Bolaños-Ramírez, H.; Peluffo-Ordóñez, D.; and Murillo, S. 2015. cited By 1
Knowledge discovery in databases from a perspective of intelligent information visualization [link]Paper   doi   bibtex
On the effect of inverse problem weighted solutions for epileptic sources localization. Acosta-Munoz, M.; Paredes-Argoty, H.; Revelo-Fuelagan, E.; and Peluffo-Ordonez, D. 2015. cited By 0
On the effect of inverse problem weighted solutions for epileptic sources localization [link]Paper   doi   bibtex
Deforming objects via exponential homotopy: A first approach. Alpala, L.; Peluffo-Ordonez, D.; Gonzalez-Castano, C.; and Guasmayan, F. 2015. cited By 1
Deforming objects via exponential homotopy: A first approach [link]Paper   doi   bibtex
Interactive interface for efficient data visualization via a geometric approach. Salazar-Castro, J.; Rosas-Narvaez, Y.; Pantoja, A.; Alvarado-Perez, J.; and Peluffo-Ordonez, D. 2015. cited By 10
Interactive interface for efficient data visualization via a geometric approach [link]Paper   doi   bibtex
Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. Peluffo-Ordonez, D.; Lee, J.; and Verleysen, M. 2015. cited By 16
Generalized kernel framework for unsupervised spectral methods of dimensionality reduction [link]Paper   doi   bibtex
Artificial and natural intelligence integration. Alvarado-Pérez, J.; and Peluffo-Ordóñez, D. Advances in Intelligent Systems and Computing, 373: 167-173. 2015. cited By 1
Artificial and natural intelligence integration [link]Paper   doi   bibtex
On the spectral clustering for dynamic data. Peluffo-OrdÓÑez, D.; Alvarado-PÉrez, J.; and Castro-Ospina, A. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9108: 148-155. 2015. cited By 2
On the spectral clustering for dynamic data [link]Paper   doi   bibtex
Segment clustering methodology for unsupervised holter recordings analysis. Rodríguez-Sotelo, J.; Peluffo-Ordoñez, D.; and Dominguez, G. 2015. cited By 0
Segment clustering methodology for unsupervised holter recordings analysis [link]Paper   doi   bibtex
Multiple kernel learning for spectral dimensionality reduction. Peluffo-Ordóñez, D.; Castro-Ospina, A.; Alvarado-Pérez, J.; and Revelo-Fuelagán, E. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9423: 626-634. 2015. cited By 4
Multiple kernel learning for spectral dimensionality reduction [link]Paper   doi   bibtex
Geometrical homotopy for data visualization. Peluffo-Ordóñez, D.; Alvarado-Pérez, J.; Lee, J.; and Verleysen, M. 2015. cited By 7
Geometrical homotopy for data visualization [link]Paper   bibtex
Effectiveness of morphological and spectral heartbeat characterization on arrhythmia clustering for Holter recordings. Castro-Hoyos, C.; Peluffo-Ordoñez, D.; Rodríguez-Sotelo, J.; and Castellanos-Domínguez, G. 2015. cited By 0
Effectiveness of morphological and spectral heartbeat characterization on arrhythmia clustering for Holter recordings [link]Paper   doi   bibtex
  2014 (8)
Recent methods for dimensionality reduction: A brief comparative analysis. Peluffo, D.; Lee, J.; and Verleysen, M. 2014. cited By 12
Recent methods for dimensionality reduction: A brief comparative analysis [link]Paper   bibtex
Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. Lee, J.; Peluffo-Ordóñez, D.; and Verleysen, M. 2014. cited By 3
Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction [link]Paper   bibtex
Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. Peluffo-Ordóñez, D.; Lee, J.; and Verleysen, M. Advances in Intelligent Systems and Computing, 295: 65-74. 2014. cited By 11
Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding [link]Paper   doi   bibtex
A multi-class extension for multi-labeler support vector machines. Peluffo-Ordóñez, D.; Murillo-Rendón, S.; Arias-Londoño, J.; and Castellanos-Domínguez, G. 2014. cited By 2
A multi-class extension for multi-labeler support vector machines [link]Paper   bibtex
Optimal data projection for kernel spectral clustering. Peluffo, D.; Alzate, C.; Suykens, J.; and Castellanos-Dominguez, G. 2014. cited By 4
Optimal data projection for kernel spectral clustering [link]Paper   bibtex
Quadratic problem formulation with linear constraints for normalized cut clustering. Peluffo-Ordóñez, D.; Castro-Hoyos, C.; Acosta-Medina, C.; and Castellanos-Domínguez, G. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8827: 408-415. 2014. cited By 5
Quadratic problem formulation with linear constraints for normalized cut clustering [link]Paper   bibtex
Unsupervised relevance analysis for feature extraction and selection: A distance-based approach for feature relevance. Peluffo, D.; Lee, J.; Verleysen, M.; Rodríguez, J.; and Castellanos-Domínguez, G. 2014. cited By 7
Unsupervised relevance analysis for feature extraction and selection: A distance-based approach for feature relevance [link]Paper   bibtex
Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques. Rodríguez-Sotelo, J.; Osorio-Forero, A.; Jiménez-Rodríguez, A.; Cuesta-Frau, D.; Cirugeda-Roldán, E.; and Peluffo, D. Entropy, 16(12): 6573-6589. 2014. cited By 42
Automatic sleep stages classification using EEG entropy features and unsupervised pattern analysis techniques [link]Paper   doi   bibtex
  2013 (7)
Kernel spectral clustering for dynamic data. Peluffo-Ordóñez, D.; García-Vega, S.; Álvarez-Meza, A.; and Castellanos-Domínguez, C. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8258 LNCS(PART 1): 238-245. 2013. cited By 5
Kernel spectral clustering for dynamic data [link]Paper   doi   bibtex
Kernel spectral clustering for dynamic data using multiple kernel learning. Peluffo-Ordonez, D.; Garcia-Vega, S.; Langone, R.; Suykens, J.; and Castellanos-Dominguez, G. 2013. cited By 6
Kernel spectral clustering for dynamic data using multiple kernel learning [link]Paper   doi   bibtex
Support vector machine-based approach for multi-labelers problems. Murillo, S.; Peluffo, D.; and Castellanos, G. 2013. cited By 3
Support vector machine-based approach for multi-labelers problems [link]Paper   bibtex
Normalized cuts clustering with prior knowledge and a pre-clustering stage. Peluffo-Ordoñez, D.; Castro-Ospina, A.; Chavez-Chamorro, D.; Acosta-Medina, C.; and Castellanos-Dominguez, G. 2013. cited By 2
Normalized cuts clustering with prior knowledge and a pre-clustering stage [link]Paper   bibtex
Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering. Castro-Ospina, A.; Castro-Hoyos, C.; Peluffo-Ordonez, D.; and Castellanos-Dominguez, G. 2013. cited By 5
Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering [link]Paper   doi   bibtex
Kernel spectral clustering for motion tracking: A first approach. Peluffo-Ordóñez, D.; García-Vega, S.; and Castellanos-Domínguez, C. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7930 LNCS(PART 1): 264-273. 2013. cited By 3
Kernel spectral clustering for motion tracking: A first approach [link]Paper   doi   bibtex
Multi-labeler analysis for bi-class problems based on soft-margin support vector machines. Murillo-Rendón, S.; Peluffo-Ordóñez, D.; Arias-Londoño, J.; and Castellanos-Domínguez, C. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7930 LNCS(PART 1): 274-282. 2013. cited By 2
Multi-labeler analysis for bi-class problems based on soft-margin support vector machines [link]Paper   doi   bibtex
  2012 (7)
Effect of latency on clustering of P300 recordings for ADHD discrimination. Peluffo-Ordonez, D.; Martinez-Vargas, J.; and Castellanos-Dominguez, G. 2012. cited By 0
Effect of latency on clustering of P300 recordings for ADHD discrimination [link]Paper   doi   bibtex
Constrained affinity matrix for spectral clustering: A basic semi-supervised extension. Castro-Hoyos, C.; Peluffo, D.; and Castellanos, C. 2012. cited By 1
Constrained affinity matrix for spectral clustering: A basic semi-supervised extension [link]Paper   doi   bibtex
Weighted time series analysis for electroencephalographic source localization [Análisis de series de tiempo ponderadas para la localización de fuentes electroencefalográficas]. Giraldo, E.; Peluffo-Ordoñez, D.; and Castellanos-Domínguez, G. DYNA (Colombia), 79(176): 64-70. 2012. cited By 3
Weighted time series analysis for electroencephalographic source localization [Análisis de series de tiempo ponderadas para la localización de fuentes electroencefalográficas] [link]Paper   bibtex
Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering. Rodríguez-Sotelo, J.; Peluffo-Ordoñez, D.; Cuesta-Frau, D.; and Castellanos-Domínguez, G. Computer Methods and Programs in Biomedicine, 108(1): 250-261. 2012. cited By 28
Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering [link]Paper   doi   bibtex
An improved multi-class spectral clustering based on normalized cuts. Peluffo-Ordóñez, D.; Acosta-Medina, C.; and Castellanos-Domínguez, C. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7441 LNCS: 130-137. 2012. cited By 2
An improved multi-class spectral clustering based on normalized cuts [link]Paper   doi   bibtex
Image segmentation based on multi-kernel learning and feature relevance analysis. Molina-Giraldo, S.; Álvarez-Meza, A.; Peluffo-Ordoñez, D.; and Castellanos-Domínguez, G. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7637 LNAI: 501-510. 2012. cited By 9
Image segmentation based on multi-kernel learning and feature relevance analysis [link]Paper   doi   bibtex
  2010 (1)
Weighted-PCA for unsupervised classification of cardiac arrhythmias. Rodríguez-Sotelo, J.; Delgado-Trejos, E.; Peluffo-Ordóñez, D.; Cuesta-Frau, D.; and Castellanos-Domínguez, G. 2010. cited By 5
Weighted-PCA for unsupervised classification of cardiac arrhythmias [link]Paper   doi   bibtex
  2009 (2)
Nonparametric density-based clustering for cardiac arrhythmia analysis. Rodríguez-Sotelo, J.; Peluffo-Ordoñez, D.; Cuesta-Frau, D.; and Castellanos-Domínguez, G. 2009. cited By 1
Nonparametric density-based clustering for cardiac arrhythmia analysis [link]Paper   bibtex
Unsupervised feature selection in cardiac arrhythmias analysis. Rodríguez-Sotelo, J.; Cuesta-Frau, D.; Peluffo-Ordóñez, D.; and Castellanos-Domínguez, G. 2009. cited By 2
Unsupervised feature selection in cardiac arrhythmias analysis [link]Paper   doi   bibtex