Diego Hernán Peluffo-Ordóñez
Orcid: 0000-0002-9045-6997
According to our database1,
Diego Hernán Peluffo-Ordóñez
authored at least 109 papers
between 2012 and 2024.
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Bibliography
2024
Joint Exploration of Kernel Functions Potential for Data Representation and Classification: A First Step Toward Interactive Interpretable Dimensionality Reduction.
SN Comput. Sci., January, 2024
A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts.
Comput. Ind. Eng., January, 2024
Kernelized Extension for Multiple-Expert-Learning Classifiers Using Support Vector Machines.
Proceedings of the Intelligent Computing, 2024
Instance Selection Framework for Alzheimer's Disease Classification Using Multiple Regions of Interest and Atlas Integration.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024
2023
Positive invariant regions for a modified Van Der Pol equation modeling heart action.
Appl. Math. Comput., 2023
A Novel Linear-Model-Based Methodology for Predicting the Directional Movement of the Euro-Dollar Exchange Rate.
IEEE Access, 2023
Proceedings of the Computational Science and Its Applications - ICCSA 2023, 2023
Exploring the Potential of Genetic Algorithms for Optimizing Academic Schedules at the School of Mechatronic Engineering: Preliminary Results.
Proceedings of the Applied Informatics - 6th International Conference, 2023
2022
Identification of Lower-Limb Motor Tasks via Brain-Computer Interfaces: A Topical Overview.
Sensors, 2022
Inf., 2022
Electromiographic Signal Processing Using Embedded Artificial Intelligence: An Adaptive Filtering Approach.
Int. J. Interact. Multim. Artif. Intell., 2022
Air Pollution Monitoring Using WSN Nodes with Machine Learning Techniques: A Case Study.
Log. J. IGPL, 2022
Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022
ECG-Based Heartbeat Classification for Arrhythmia Detection Using Artificial Neural Networks.
Proceedings of the Computational Science and Its Applications - ICCSA 2022, 2022
Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches.
Proceedings of the Applied Informatics: 5th International Conference, 2022
Proceedings of the Applied Informatics: 5th International Conference, 2022
Impact of ECG Signal Preprocessing and Filtering on Arrhythmia Classification Using Machine Learning Techniques.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022
2021
Addressing the Data Acquisition Paradigm in the Early Detection of Pediatric Foot Deformities.
Sensors, 2021
Comput. Electr. Eng., 2021
Comparison of Current Deep Convolutional Neural Networks for the Segmentation of Breast Masses in Mammograms.
IEEE Access, 2021
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021
Generalized Spectral Dimensionality Reduction Based on Kernel Representations and Principal Component Analysis.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021
Proceedings of the Applied Informatics - Fourth International Conference, 2021
Sign Language Recognition Using Leap Motion Based on Time-Frequency Characterization and Conventional Machine Learning Techniques.
Proceedings of the Applied Informatics - Fourth International Conference, 2021
Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021
Demand Forecasting for Textile Products Using Statistical Analysis and Machine Learning Algorithms.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021
2020
Environment Monitoring of Rose Crops Greenhouse Based on Autonomous Vehicles with a WSN and Data Analysis.
Sensors, 2020
Intelligent WSN System for Water Quality Analysis Using Machine Learning Algorithms: A Case Study (Tahuando River from Ecuador).
Remote. Sens., 2020
A New Approach to Supervised Data Analysis in Embedded Systems Environments: A Case Study.
Proceedings of the Intelligent Computing, 2020
A Comparison of Machine Learning and Classical Demand Forecasting Methods: A Case Study of Ecuadorian Textile Industry.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
A Forecasting Model to Predict the Demand of Roses in an Ecuadorian Small Business Under Uncertain Scenarios.
Proceedings of the Machine Learning, Optimization, and Data Science, 2020
Introducing the Concept of Interaction Model for Interactive Dimensionality Reduction and Data Visualization.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020
Inverse Data Visualization Framework (IDVF): Towards a Prior-Knowledge-Driven Data Visualization.
Proceedings of the Applied Informatics - Third International Conference, 2020
A Data-Driven Approach for Automatic Classification of Extreme Precipitation Events: Preliminary Results.
Proceedings of the Applied Informatics - Third International Conference, 2020
Multi-expert Methods Evaluation on Financial and Economic Data: Introducing Bag of Experts.
Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020
2019
Dataset, July, 2019
Recognition of emotions using ICEEMD-based characterization of multimodal physiological signals.
Proceedings of the 10th IEEE Latin American Symposium on Circuits & Systems, 2019
Multivariate Approach to Alcohol Detection in Drivers by Sensors and Artificial Vision.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019
Non-generalized Analysis of the Multimodal Signals for Emotion Recognition: Preliminary Results.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Low Resolution Electroencephalographic-Signals-Driven Semantic Retrieval: Preliminary Results.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Artificial Neural Networks for Bottled Water Demand Forecasting: A Small Business Case Study.
Proceedings of the Advances in Computational Intelligence, 2019
A New Approach of Service Platform for Water Optimization in Lettuce Crops Using Wireless Sensor Network.
Proceedings of the Intelligent Systems and Applications, 2019
Urban Pollution Environmental Monitoring System Using IoT Devices and Data Visualization: A Case Study.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Optimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm.
Proceedings of the Hybrid Artificial Intelligent Systems - 14th International Conference, 2019
Exploring the Characterization and Classification of EEG Signals for a Computer-Aided Epilepsy Diagnosis System.
Proceedings of the Brain Informatics - 12th International Conference, 2019
Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019
Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019
Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019
2018
Computación y Sistemas, 2018
Voice Pathology Detection Using Artificial Neural Networks and Support Vector Machines Powered by a Multicriteria Optimization Algorithm.
Proceedings of the Applied Computer Sciences in Engineering, 2018
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Case-Based Reasoning Systems for Medical Applications with Improved Adaptation and Recovery Stages.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Proceedings of the Bioinformatics and Biomedical Engineering, 2018
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
Electroencephalographic Signals and Emotional States for Tactile Pleasantness Classification.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018
A Novel Color-Based Data Visualization Approach Using a Circular Interaction Model and Dimensionality Reduction.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Developments on Solutions of the Normalized-Cut-Clustering Problem Without Eigenvectors.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Exploratory Study of the Effects of Cardiac Murmurs on Electrocardiographic-Signal-Based Biometric Systems.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Proceedings of the International Conference on Information Technology & Systems, 2018
Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
Fingertips Segmentation of Thermal Images and Its Potential Use in Hand Thermoregulation Analysis.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018
2017
Data Visualization Using Interactive Dimensionality Reduction and Improved Color-Based Interaction Model.
Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Sleep Stages Clustering Using Time and Spectral Features of EEG Signals - An Unsupervised Approach.
Proceedings of the Natural and Artificial Computation for Biomedicine and Neuroscience, 2017
Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
Automatic Motion Segmentation via a Cumulative Kernel Representation and Spectral Clustering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017
2016
Dimensionality reduction for interactive data visualization via a Geo-Desic approach.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
Comparison between unipolar and bipolar electrograms for detecting rotor tip from 2D fibrillation model using image fusion. A simulation study.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
On the Relationship Between Dimensionality Reduction and Spectral Clustering from a Kernel Viewpoint.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016
Interactive Data Visualization Using Dimensionality Reduction and Similarity-Based Representations.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016
Multi-labeler Classification Using Kernel Representations and Mixture of Classifiers.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016
Data Fusion from Multiple Stations for Estimation of PM2.5 in Specific Geographical Location.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2016
2015
Multi-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure.
Neurocomputing, 2015
Proceedings of the Bioinspired Computation in Artificial Systems, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
Proceedings of the Distributed Computing and Artificial Intelligence, 2015
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2015
2014
Automatic Sleep Stages Classification Using EEG Entropy Features and Unsupervised Pattern Analysis Techniques.
Entropy, 2014
Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Unsupervised Relevance Analysis for Feature Extraction and Selection - A Distance-based Approach for Feature Relevance.
Proceedings of the ICPRAM 2014, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Multiscale stochastic neighbor embedding: Towards parameter-free dimensionality reduction.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
Generalized kernel framework for unsupervised spectral methods of dimensionality reduction.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2014
2013
Multi-labeler Analysis for Bi-class Problems Based on Soft-Margin Support Vector Machines.
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
Proceedings of the Natural and Artificial Models in Computation and Biology, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013
Novel heuristic search for ventricular arrhythmia detection using normalized cut clustering.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013
2012
Comput. Methods Programs Biomed., 2012
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2012