An Improved Multi-Class Spectral Clustering Based on Normalized Cuts. - Diego Hernán Peluffo-Ordóñez; Carlos Daniel Acosta-Medina; César Germán Castellanos-Domínguez (CIARP, 2012)

Effect of latency on clustering of P300 recordings for ADHD discrimination. - Diego Hernán Peluffo-Ordóñez; Juan David Martínez-Vargas; Germán Castellanos-Domínguez (EMBC, 2012)

Image Segmentation Based on Multi-Kernel Learning and Feature Relevance Analysis. - Santiago Molina-Giraldo; Andrés Marino Álvarez-Meza; Diego Hernán Peluffo-Ordóñez; Germán Castellanos-Domínguez (IBERAMIA, 2012)

Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering. - José Luis Rodríguez-Sotelo; Diego Hernán Peluffo-Ordóñez; David Cuesta-Frau; Germán Castellanos-Domínguez (Comput. Methods Programs Biomed., 2012)

Kernel Spectral Clustering for Dynamic Data. - Diego Hernán Peluffo-Ordóñez; Sergio García-Vega; Andrés Marino Álvarez-Meza; César Germán Castellanos-Domínguez (CIARP (1), 2013)

Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering. - Andrés Eduardo Castro-Ospina; Cristian Castro Hoyos; Diego Hernán Peluffo-Ordóñez; Germán Castellanos-Domínguez (EMBC, 2013)

Normalized cuts clustering with prior knowledge and a pre-clustering stage. - Diego Hernán Peluffo-Ordóñez; Andrés Eduardo Castro-Ospina; Diego Chavez-Chamorro; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (ESANN, 2013)

support vector machine-based aproach for multi-labelers problems. - Santiago Murillo Rendón; Diego Hernán Peluffo-Ordóñez; Germán Castellanos-Domínguez (ESANN, 2013)

Kernel spectral clustering for dynamic data using multiple kernel learning. - Diego Hernán Peluffo-Ordóñez; Sergio García-Vega; Rocco Langone; Johan A. K. Suykens; Germán Castellanos-Domínguez (IJCNN, 2013)

Kernel Spectral Clustering for Motion Tracking: A First Approach. - Diego Hernán Peluffo-Ordóñez; Sergio García-Vega; César Germán Castellanos-Domínguez (IWINAC (1), 2013)

Multi-labeler Analysis for Bi-class Problems Based on Soft-Margin Support Vector Machines. - S. Murillo Rendón; Diego Hernán Peluffo-Ordóñez; Julián D. Arias-Londoño; César Germán Castellanos-Domínguez (IWINAC (1), 2013)

Quadratic Problem Formulation with Linear Constraints for Normalized Cut Clustering. - Diego Hernán Peluffo-Ordóñez; Cristian Castro Hoyos; Carlos Daniel Acosta-Medina; Germán Castellanos-Domínguez (CIARP, 2014)

Generalized kernel framework for unsupervised spectral methods of dimensionality reduction. - Diego Hernán Peluffo-Ordóñez; John Aldo Lee; Michel Verleysen (CIDM, 2014)

Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction. - John Aldo Lee; Diego Hernán Peluffo-Ordóñez; Michel Verleysen (ESANN, 2014)

Optimal Data Projection for Kernel Spectral Clustering. - Diego Hernán Peluffo-Ordóñez; Carlos Alzate; Johan A. K. Suykens; Germán Castellanos-Domínguez (ESANN, 2014)

Recent methods for dimensionality reduction: A brief comparative analysis. - Diego Hernán Peluffo-Ordóñez; John Aldo Lee; Michel Verleysen (ESANN, 2014)

A multi-class extension for multi-labeler support vector machines. - Diego Hernán Peluffo-Ordóñez; Santiago Murillo Rendón; Julián D. Arias-Londoño; Germán Castellanos-Domínguez (ESANN, 2014)

Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance. - Diego Hernán Peluffo-Ordóñez; John Aldo Lee; Michel Verleysen; José L. Rodríguez; Germán Castellanos-Domínguez (ICPRAM, 2014)

Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. - Diego Hernán Peluffo-Ordóñez; John Aldo Lee; Michel Verleysen (WSOM, 2014)

Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques. - José Luis Rodríguez-Sotelo; Alejandro Osorio-Forero; Alejandro Jiménez-Rodríguez; David Cuesta-Frau; Eva M. Cirugeda-Roldán; Diego Hernán Peluffo-Ordóñez (Entropy, 2014)

Multiple Kernel Learning for Spectral Dimensionality Reduction. - Diego Hernán Peluffo-Ordóñez; Andrés Eduardo Castro-Ospina; Juan Carlos Alvarado-Pérez; Edgardo Javier Revelo-Fuelagán (CIARP, 2015)

Artificial and Natural Intelligence Integration. - Juan C. Alvarado-Pérez; Diego Hernán Peluffo-Ordóñez (DCAI, 2015)

Geometrical homotopy for data visualization. - Diego Hernán Peluffo-Ordóñez; Juan Carlos Alvarado-Pérez; John Aldo Lee; Michel Verleysen (ESANN, 2015)

On the Spectral Clustering for Dynamic Data. - Diego Hernán Peluffo-Ordóñez; Juan C. Alvarado-Pérez; Andrés Eduardo Castro-Ospina (IWINAC (2), 2015)

Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure. - John Aldo Lee; Diego Hernán Peluffo-Ordóñez; Michel Verleysen (Neurocomputing, 2015)

Data Fusion from Multiple Stations for Estimation of PM2.5 in Specific Geographical Location. - Miguel A. Becerra; Marcela Bedoya Sánchez; Jacobo García Carvajal; Jaime Alberto Guzmán Luna; Diego Hernán Peluffo-Ordóñez; Catalina Tobón (CIARP, 2016)

Multi-labeler Classification Using Kernel Representations and Mixture of Classifiers. - David Esteban Imbajoa-Ruiz; I. D. Gustin; M. Bolaños-Ledezma; Andrés F. Arciniegas-Mejía; F. A. Guasmayan-Guasmayan; M. J. Bravo-Montenegro; Andrés Eduardo Castro-Ospina; Diego Hernán Peluffo-Ordóñez (CIARP, 2016)

Interactive Data Visualization Using Dimensionality Reduction and Similarity-Based Representations. - P. Rosero-Montalvo; P. Diaz; Jose Alejandro Salazar-Castro; D. F. Peña-Unigarro; Andres J. Anaya-Isaza; Juan C. Alvarado-Pérez; Roberto Therón; Diego Hernán Peluffo-Ordóñez (CIARP, 2016)

On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint. - Diego Hernán Peluffo-Ordóñez; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; X. P. Blanco-Valencia; Juan C. Alvarado-Pérez; Roberto Therón; Andres J. Anaya-Isaza (DCAI, 2016)

Comparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study. - Carlos Andrés Duarte-Salazar; Andrés Orozco-Duque; Catalina Tobón; Diego Hernán Peluffo-Ordóñez; Jaime Alberto Guzmán Luna; Miguel A. Becerra (LA-CCI, 2016)

Dimensionality reduction for interactive data visualization via a Geo-Desic approach. - Jose Alejandro Salazar-Castro; Diego Fernando Peña-Unigarro; Diego Hernán Peluffo-Ordóñez; Paul D. Rosero-Montalvo; Hernán Mauricio Domínguez-Limaico; Juan C. Alvarado-Pérez; Roberto Therón (LA-CCI, 2016)

Comparison Among Physiological Signals for Biometric Identification. - M. Moreno-Revelo; M. Ortega-Adarme; Diego Hernán Peluffo-Ordóñez; Karla C. Alvarez-Uribe; Miguel A. Becerra (IDEAL, 2017)

Automatic Motion Segmentation via a Cumulative Kernel Representation and Spectral Clustering. - O. R. Oña-Rocha; O. T. Sánchez-Manosalvas; Ana Cristina Umaquinga-Criollo; P. D. Rosero-Montalvo; Luis E. Suárez-Zambrano; José Luis Rodríguez-Sotelo; Diego Hernán Peluffo-Ordóñez (IDEAL, 2017)

Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations. - D. F. Peña-Unigarro; P. Rosero-Montalvo; Edgardo Javier Revelo-Fuelagán; Juan A. Castro-Silva; Juan C. Alvarado-Pérez; Roberto Therón; C. M. Ortega-Bustamante; Diego Hernán Peluffo-Ordóñez (IDEAL, 2017)

Sleep Stages Clustering Using Time and Spectral Features of EEG Signals - An Unsupervised Approach. - José Luis Rodríguez-Sotelo; Alejandro Osorio-Forero; Alejandro Jiménez-Rodríguez; Francia Restrepo de Mejía; Diego Hernán Peluffo-Ordóñez; Jorge Serrano (IWINAC (1), 2017)

Segment Clustering for Holter Recordings Analysis. - José Luis Rodríguez-Sotelo; Diego Hernán Peluffo-Ordóñez; D. López-Londoño; Andrés Eduardo Castro-Ospina (IWINAC (1), 2017)

Data Visualization Using Interactive Dimensionality Reduction and Improved Color-Based Interaction Model. - P. D. Rosero-Montalvo; D. F. Peña-Unigarro; Diego Hernán Peluffo-Ordóñez; Juan A. Castro-Silva; Ana Cristina Umaquinga-Criollo; E. A. Rosero-Rosero (IWINAC (2), 2017)

Fingertips Segmentation of Thermal Images and Its Potential Use in Hand Thermoregulation Analysis. - Andrés Eduardo Castro-Ospina; A. M. Correa-Mira; Israel David Herrera-Granda; Diego Hernán Peluffo-Ordóñez; Hermes Alexander Fandiño Toro (HAIS, 2018)

Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms. - Israel David Herrera-Granda; Leandro Leonardo Lorente-Leyva; Diego Hernán Peluffo-Ordóñez; Robert M. Valencia-Chapi; Yakcleem Montero-Santos; Jorge L. Chicaiza-Vaca; Andrés Eduardo Castro-Ospina (HAIS, 2018)

Computer Vision-Based Method for Automatic Detection of Crop Rows in Potato Fields. - Iván D. García-Santillán; Diego Hernán Peluffo-Ordóñez; Víctor Caranqui; Marco Pusdá; Fernando Garrido; Pedro Granda (ICITS, 2018)

Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems. - Miguel A. Becerra; C. Duque-Mejía; C. Zapata-Hernández; Diego Hernán Peluffo-Ordóñez; Leonardo Serna-Guarín; Edilson Delgado-Trejos; Edgardo Javier Revelo-Fuelagán; X. P. Blanco-Valencia (IDEAL (1), 2018)

Generalized Low-Computational Cost Laplacian Eigenmaps. - Jose Alejandro Salazar-Castro; D. F. Peña-Unigarro; Cielo K. Basante-Villota; C. Ortega; Lilian Dayana Cruz-Cruz; Edgardo Javier Revelo-Fuelagán; X. P. Blanco-Valencia; Germán Castellanos-Domínguez; Diego Hernán Peluffo-Ordóñez (IDEAL (1), 2018)

Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors. - Leandro Leonardo Lorente-Leyva; Israel David Herrera-Granda; Paul D. Rosero-Montalvo; Karina L. Ponce-Guevara; Andrés Eduardo Castro-Ospina; Miguel A. Becerra; Diego Hernán Peluffo-Ordóñez; José Luis Rodríguez-Sotelo (ISNN, 2018)

A Novel Color-Based Data Visualization Approach Using a Circular Interaction Model and Dimensionality Reduction. - Jose Alejandro Salazar-Castro; Paul D. Rosero-Montalvo; Diego Fernando Peña-Unigarro; Ana Cristina Umaquinga-Criollo; Zenaida Castillo-Marrero; Edgardo Javier Revelo-Fuelagán; Diego Hernán Peluffo-Ordóñez; César Germán Castellanos-Domínguez (ISNN, 2018)

Angle-Based Model for Interactive Dimensionality Reduction and Data Visualization. - Cielo K. Basante-Villota; Carlos M. Ortega-Castillo; Diego Fernando Peña-Unigarro; Edgardo Javier Revelo-Fuelagán; Jose Alejandro Salazar-Castro; MacArthur Ortega-Bustamante; Paul D. Rosero-Montalvo; Laura Stella Vega-Escobar; Diego Hernán Peluffo-Ordóñez (IWAIPR, 2018)

Electroencephalographic Signals and Emotional States for Tactile Pleasantness Classification. - Miguel A. Becerra; Edwin Londoño-Delgado; Sonia M. Pelaez-Becerra; Andrés Eduardo Castro-Ospina; Cristian Mejía-Arboleda; Julián Durango; Diego Hernán Peluffo-Ordóñez (IWAIPR, 2018)

Movement Identification in EMG Signals Using Machine Learning: A Comparative Study. - Laura Lasso-Arciniegas; Andres Viveros-Melo; Jose Alejandro Salazar-Castro; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; Edgardo Javier Revelo-Fuelagán; Diego Hernán Peluffo-Ordóñez (IWAIPR, 2018)

Low Data Fusion Framework Oriented to Information Quality for BCI Systems. - Miguel Alberto Becerra; Karla C. Alvarez-Uribe; Diego Hernán Peluffo-Ordóñez (IWBBIO (2), 2018)

Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages. - X. P. Blanco-Valencia; D. Bastidas Torres; C. Piñeros Rodriguez; Diego Hernán Peluffo-Ordóñez; Miguel A. Becerra; Andrés Eduardo Castro-Ospina (IWBBIO (1), 2018)

Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms. - Fabián M. Lopez-Chamorro; Andrés F. Arciniegas-Mejía; David Esteban Imbajoa-Ruiz; Paul D. Rosero-Montalvo; Pedro García 002; Andrés Eduardo Castro-Ospina; Antonio Acosta; Diego Hernán Peluffo-Ordóñez (IWBBIO (1), 2018)

Advances in Homotopy Applied to Object Deformation. - Jose Alejandro Salazar-Castro; Ana Cristina Umaquinga-Criollo; Lilian Dayana Cruz-Cruz; Luis Omar Alpala-Alpala; Catalina González-Castaño; Miguel A. Becerra-Botero; Diego Hernán Peluffo-Ordóñez; César Germán Castellanos-Domínguez (IWBBIO (2), 2018)

Voice Pathology Detection Using Artificial Neural Networks and Support Vector Machines Powered by a Multicriteria Optimization Algorithm. - Henry Jhoán Areiza-Laverde; Andrés Eduardo Castro-Ospina; Diego Hernán Peluffo-Ordóñez (WEA (1), 2018)

Building a Nasa Yuwe Language Corpus and Tagging with a Metaheuristic Approach. - Luz Marina Sierra Martínez; Carlos Alberto Cobos Lozada; Juan Carlos Corrales-Muñoz; Tulio Rojas Curieux; Enrique Herrera-Viedma; Diego Hernán Peluffo-Ordóñez (Computación y Sistemas, 2018)

Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study. - C. Duque-Mejía; Miguel A. Becerra; C. Zapata-Hernández; Cristian Mejía-Arboleda; Andrés Eduardo Castro-Ospina; Edilson Delgado-Trejos; Diego Hernán Peluffo-Ordóñez; Paul D. Rosero-Montalvo; Javier Revelo-Fuelagán (ACIIDS (1), 2019)

Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals. - J. F. Gómez-Lara; O. A. Ordóñez-Bolaños; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; Cristian Mejía-Arboleda; C. Duque-Mejía; J. Rodriguez; Javier Revelo-Fuelagán; Diego Hernán Peluffo-Ordóñez (ACIIDS (1), 2019)

Drowsiness Detection in Drivers Through Real-Time Image Processing of the Human Eye. - Erick P. Herrera-Granda; Jorge A. Caraguay-Procel; Pedro D. Granda-Gudiño; Israel David Herrera-Granda; Leandro Leonardo Lorente-Leyva; Diego Hernán Peluffo-Ordóñez; Javier Revelo-Fuelagán (ACIIDS (1), 2019)

Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors. - D. Bastidas Torres; C. Piñeros Rodriguez; Diego Hernán Peluffo-Ordóñez; X. P. Blanco-Valencia; Javier Revelo-Fuelagán; Miguel A. Becerra; Andrés Eduardo Castro-Ospina; Leandro Leonardo Lorente-Leyva (ACIIDS (1), 2019)

Exploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System. - Emil Vega-Gualán; Andrés Vargas; Miguel A. Becerra; Ana Cristina Umaquinga-Criollo; Jaime Riascos; Diego Hernán Peluffo-Ordóñez (BI, 2019)

Optimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm. - Leandro Leonardo Lorente-Leyva; Jefferson R. Murillo-Valle; Yakcleem Montero-Santos; Israel David Herrera-Granda; Erick P. Herrera-Granda; Paul D. Rosero-Montalvo; Diego Hernán Peluffo-Ordóñez; Xiomara P. Blanco-Valencia (HAIS, 2019)

Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study. - Paul D. Rosero-Montalvo; Vivian F. López Batista; Diego Hernán Peluffo-Ordóñez; Leandro Leonardo Lorente-Leyva; X. P. Blanco-Valencia (HAIS, 2019)

A New Approach of Service Platform for Water Optimization in Lettuce Crops Using Wireless Sensor Network. - Edgar Maya-Olalla; Hernán Domínguez-Limaico; Carlos Vásquez-Ayala; Edgar Jaramillo-Vinueza; Oscar Marcelo Zambrano Vizuete; Alexandra Jácome-Ortega; Paul D. Rosero-Montalvo; Diego Hernán Peluffo-Ordóñez (IntelliSys (2), 2019)

Artificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study. - Israel David Herrera-Granda; Joselyn A. Chicaiza-Ipiales; Erick P. Herrera-Granda; Leandro Leonardo Lorente-Leyva; Jorge A. Caraguay-Procel; Iván D. García-Santillán; Diego Hernán Peluffo-Ordóñez (IWANN (2), 2019)

Low Resolution Electroencephalographic-Signals-Driven Semantic Retrieval: Preliminary Results. - Miguel Alberto Becerra; Edwin Londoño-Delgado; Oscar I. Botero-Henao; Diana Marín-Castrillón; Cristian Mejía-Arboleda; Diego Hernán Peluffo-Ordóñez (IWBBIO (2), 2019)

Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results. - Edwin Londoño-Delgado; Miguel Alberto Becerra; Carolina M. Duque-Mejía; Juan Camilo Zapata; Cristian Mejía-Arboleda; Andrés Eduardo Castro-Ospina; Diego Hernán Peluffo-Ordóñez (IWBBIO (2), 2019)

Multivariate Approach to Alcohol Detection in Drivers by Sensors and Artificial Vision. - Paul D. Rosero-Montalvo; Vivian F. López Batista; Diego Hernán Peluffo-Ordóñez; Vanessa C. Erazo-Chamorro; Ricardo P. Arciniega-Rocha (IWINAC (2), 2019)

Recognition of emotions using ICEEMD-based characterization of multimodal physiological signals. - O. A. Ordóñez-Bolaños; J. F. Gómez-Lara; Miguel A. Becerra; Diego Hernán Peluffo-Ordóñez; C. M. Duque-Mejía; D. Medrano-David; Cristian Mejía-Arboleda (LASCAS, 2019)

Footstep analysis using Pressure Sensors. - Edison A. Fuentes-Hernández; Paul D. Rosero-Montalvo; Diego Peluffo (IEEE DataPort, 2019)

Alcohol Detection in Drivers by Sensors and Computer Vision. - Paul D. Rosero-Montalvo; Diego Hernán Peluffo-Ordóñez (IEEE DataPort, 2019)

Roses greenhouse cultivation database repository (RosesGreenhDB). - Wilmer Champutiz; Paul D. Rosero-Montalvo; Edison A. Fuentes-Hernández; Diego Peluffo (IEEE DataPort, 2019)

Multi-expert Methods Evaluation on Financial and Economic Data: Introducing Bag of Experts. - Ana Cristina Umaquinga-Criollo; Juan D. Tamayo-Quintero; María N. Moreno García; Jaime Riascos; Diego Hernán Peluffo-Ordóñez (HAIS, 2020)

A Data-Driven Approach for Automatic Classification of Extreme Precipitation Events: Preliminary Results. - J. González-Vergara; D. Escobar-González; D. Chaglla-Aguagallo; Diego Hernán Peluffo-Ordóñez (ICAI, 2020)

Inverse Data Visualization Framework (IDVF): Towards a Prior-Knowledge-Driven Data Visualization. - M. Vélez-Falconí; J. González-Vergara; Diego Hernán Peluffo-Ordóñez (ICAI, 2020)

Introducing the Concept of Interaction Model for Interactive Dimensionality Reduction and Data Visualization. - MacArthur Ortega-Bustamante; Waldo Hasperué; Diego Hernán Peluffo-Ordóñez; M. Paéz-Jaime; I. Marrufo-Rodríguez; P. Rosero-Montalvo; Ana Cristina Umaquinga-Criollo; M. Vélez-Falconí (ICCSA (2), 2020)

A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios. - Israel David Herrera-Granda; Leandro Leonardo Lorente-Leyva; Diego Hernán Peluffo-Ordóñez; M. M. E. Alemany (LOD (2), 2020)

A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry. - Leandro Leonardo Lorente-Leyva; M. M. E. Alemany; Diego Hernán Peluffo-Ordóñez; Israel David Herrera-Granda (LOD (2), 2020)

A New Approach to Supervised Data Analysis in Embedded Systems Environments: A Case Study. - Pamela E. Godoy-Trujillo; Paul D. Rosero-Montalvo; Luis E. Suárez-Zambrano; Diego Hernán Peluffo-Ordóñez; Edgardo Javier Revelo-Fuelagán (SAI (1), 2020)

Intelligent WSN System for Water Quality Analysis Using Machine Learning Algorithms: A Case Study (Tahuando River from Ecuador). - Paul D. Rosero-Montalvo; Vivian F. López Batista; Jaime Riascos; Diego Hernán Peluffo-Ordóñez (Remote. Sens., 2020)

Environment Monitoring of Rose Crops Greenhouse Based on Autonomous Vehicles with a WSN and Data Analysis. - Paul D. Rosero-Montalvo; Vanessa C. Erazo-Chamorro; Vivian F. López Batista; María N. Moreno García; Diego Hernán Peluffo-Ordóñez (Sensors, 2020)

Unsupervised Barter Model Based on Natural Human Interaction. - Yasmany Fernández-Fernández; Leandro Leonardo Lorente-Leyva; Diego Hernán Peluffo-Ordóñez; Ridelio Miranda Pérez; Elia N. Cabrera Álvarez (ACIIDS (Companion), 2021)

Demand Forecasting for Textile Products Using Statistical Analysis and Machine Learning Algorithms. - Leandro Leonardo Lorente-Leyva; M. M. E. Alemany; Diego Hernán Peluffo-Ordóñez; Roberth A. Araujo (ACIIDS, 2021)

Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models. - Nadia N. Sánchez-Pozo; Sergi Trilles-Oliver; Albert Solé-Ribalta; Leandro Leonardo Lorente-Leyva; Dagoberto Mayorca-Torres; Diego Hernán Peluffo-Ordóñez (HAIS, 2021)

Sign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques. - D. López-Albán; A. López-Barrera; Dagoberto Mayorca-Torres; Diego Hernán Peluffo-Ordóñez (ICAI, 2021)

A Chatterbot Based on Genetic Algorithm: Preliminary Results. - Cristian Orellana; Martín Tobar; Jeremy Yazán; Diego Hernán Peluffo-Ordóñez; Lorena Guachi-Guachi (ICAI, 2021)

Generalized Spectral Dimensionality Reduction Based on Kernel Representations and Principal Component Analysis. - MacArthur Ortega-Bustamante; Waldo Hasperué; Diego Hernán Peluffo-Ordóñez; Juan González-Vergara; Josué Marín-Gaviño; Martín Vélez-Falconí (ICCSA (4), 2021)

Developments on Support Vector Machines for Multiple-Expert Learning. - Ana Cristina Umaquinga-Criollo; Juan D. Tamayo-Quintero; María N. Moreno García; Yahya Aalaila; Diego Hernán Peluffo-Ordóñez (IDEAL, 2021)

Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms. - Andres J. Anaya-Isaza; Leonel Mera-Jiménez; Johan Manuel Cabrera-Chavarro; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez; Jorge Iván Ríos Patiño (IEEE Access, 2021)

The Impact of Technological Advancements on Educational Innovation (VSI-tei). - Samira Hosseini; Diego Peluffo; Kingsley Okoye; Julius Tanyu Nganji (Comput. Electr. Eng., 2021)

Information Quality Assessment for Data Fusion Systems. - Miguel A. Becerra; Catalina Tobón; Andrés Eduardo Castro-Ospina; Diego Hernán Peluffo-Ordóñez (Data, 2021)

Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities. - Paul D. Rosero-Montalvo; Edison A. Fuentes-Hernández; Manuel Eugenio Morocho Cayamcela; Luz Marina Sierra Martínez; Diego Hernán Peluffo-Ordóñez (Sensors, 2021)

TSC-LAB. - Víctor Asanza; Kevin Chica-Orellana; Jonathan Cagua; Diego Hernán Peluffo-Ordóñez (IEEE DataPort, 2021)

Electromyography (EMG) of the Extraocular Muscles (EOM). - Víctor Asanza; Jesús Miranda; Nathaly Simuy Sanchez Chan; Enrique Peláez; Francis R. Loayza; Diego Hernán Peluffo-Ordóñez (IEEE DataPort, 2021)

Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques. - Hermes Andrés Ayala-Cucas; Edison Alexander Mora-Piscal; Dagoberto Mayorca-Torres; Diego Hernán Peluffo-Ordóñez; Alejandro J. León-Salas (IBERAMIA, 2022)

A Genetic Algorithm for Scheduling Laboratory Rooms: A Case Study. - Rafael Fuenmayor; Martín Larrea; Mario Moncayo; Esteban Moya; Sebastián Trujillo; Juan-Diego Terneus; Robinson Guachi; Diego Hernán Peluffo-Ordóñez; Lorena Guachi-Guachi (ICAI, 2022)

Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches. - Hind Raki; Juan González-Vergara; Yahya Aalaila; Mouad Elhamdi; Sami Bamansour; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (ICAI, 2022)

ECG-Based Heartbeat Classification for Arrhythmia Detection Using Artificial Neural Networks. - Eduardo Cepeda; Nadia N. Sánchez-Pozo; Diego Hernán Peluffo-Ordóñez; Juan González-Vergara; Diego Almeida-Galárraga (ICCSA (2), 2022)

Instance Selection on CNNs for Alzheimer's Disease Classification from MRI. - Juan A. Castro-Silva; María N. Moreno García; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (ICPRAM, 2022)

Air Pollution Monitoring Using WSN Nodes with Machine Learning Techniques: A Case Study. - Paul D. Rosero-Montalvo; Vivian F. López Batista; Ricardo P. Arciniega-Rocha; Diego Hernán Peluffo-Ordóñez (Log. J. IGPL, 2022)

Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach. - Daniel Proaño-Guevara; Xiomara Patricia Blanco-Valencia; Paul D. Rosero-Montalvo; Diego Hernán Peluffo-Ordóñez (Int. J. Interact. Multim. Artif. Intell., 2022)

A New Data-Preprocessing-Related Taxonomy of Sensors for IoT Applications. - Paul D. Rosero-Montalvo; Vivian F. López Batista; Diego Hernán Peluffo-Ordóñez (Inf., 2022)

Identification of Lower-Limb Motor Tasks via Brain-Computer Interfaces: A Topical Overview. - Víctor Asanza; Enrique Peláez; Francis R. Loayza; Leandro Leonardo Lorente-Leyva; Diego Hernán Peluffo-Ordóñez (Sensors, 2022)

Temperature and Speed Control Lab (TSC-Lab). - Verónica Jacqueline Ojeda Carrera; Víctor Asanza; Kevin Chica-Orellana; Jonathan Cagua; Douglas Plaza; César Martín; Diego Hernán Peluffo-Ordóñez (IEEE DataPort, 2022)

Exploring the Potential of Genetic Algorithms for Optimizing Academic Schedules at the School of Mechatronic Engineering: Preliminary Results. - Johan Alarcón; Samantha Buitrón; Alexis Carrillo; Mateo Chuquimarca; Alexis Ortiz; Robinson Guachi; Diego Hernán Peluffo-Ordóñez; Lorena Guachi-Guachi (ICAI, 2023)

Interactive Information Visualization Models: A Systematic Literature Review. - MacArthur Ortega-Bustamante; Waldo Hasperué; Diego Hernán Peluffo-Ordóñez; Daisy Imbaquingo; Hind Raki; Yahya Aalaila; Mouad Elhamdi; Lorena Guachi-Guachi (ICCSA (1), 2023)

A Novel Linear-Model-Based Methodology for Predicting the Directional Movement of the Euro-Dollar Exchange Rate. - Mauricio Argotty-Erazo; Antonio Blázquez-Zaballos; Carlos A. Argoty-Eraso; Leandro Leonardo Lorente-Leyva; Nadia N. Sánchez-Pozo; Diego Hernán Peluffo-Ordóñez (IEEE Access, 2023)

Positive invariant regions for a modified Van Der Pol equation modeling heart action. - Antonio Acosta; R. Gallo; Pedro García 002; Diego Hernán Peluffo-Ordóñez (Appl. Math. Comput., 2023)

Instance Selection Framework for Alzheimer's Disease Classification Using Multiple Regions of Interest and Atlas Integration. - Juan A. Castro-Silva; María N. Moreno García; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (ICPRAM, 2024)

Kernelized Extension for Multiple-Expert-Learning Classifiers Using Support Vector Machines. - Mohammed Bajja; Yahya Aalaila; Ana Cristina Umaquinga-Criollo; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (SAI (4), 2024)

A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts. - Leandro Leonardo Lorente-Leyva; M. M. E. Alemany; Diego Hernán Peluffo-Ordóñez (Comput. Ind. Eng., 2024)

Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction. - Yahya Aalaila; Ismail Bachchar; Hind Raki; Sami Bamansour; Mouad Elhamdi; Kaoutar Benghzial; MacArthur Ortega-Bustamante; Lorena Guachi-Guachi; Diego Hernán Peluffo-Ordóñez (SN Comput. Sci., 2024)

Systematic review of computational techniques, dataset utilization, and feature extraction in electrocardiographic imaging. - Dagoberto Mayorca-Torres; Alejandro J. León-Salas; Diego Hernán Peluffo-Ordóñez (Medical Biol. Eng. Comput., 2025)

Evaluating the RISCV-EC: A Comparative Analysis of Instruction Efficiency and Power Performance for Edge Computing. - Víctor Asanza; Guillermo Montesdeoca; Rebeca Estrada; Dagoberto Mayorca-Torres; Hicham M. Safhi; Diego Hernán Peluffo-Ordóñez (SN Comput. Sci., 2025)