Documentos de Diego Hernán Peluffo-Ordóñez | REDI

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Filtros aplicados

Publisher: "Communications in Computer and Information Science"

Subtipo de publicación

Conference Object(18)

Área temáticas

Ciencias de la computación(6)

Métodos informáticos especiales(6)

Fisiología humana(4)

Dirección general(2)

Enfermedades(2)

Área de conocimiento

Ciencias de la computación(8)

Aprendizaje automático(7)

Inteligencia artificial(2)

Neuropsicología(2)

Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura(15)

ODS 3: Salud y bienestar(8)

ODS 17: Alianzas para lograr los objetivos(7)

ODS 10: Reducción de las desigualdades(6)

ODS 4: Educación de calidad(6)

Año de Publicación

Origen

Palabras Claves

Signal processing(3)

Optimization(2)

classification(2)

A Chatterbot Based on Genetic Algorithm: Preliminary Results

Conference Object

Abstract: Chatterbots are programs that simulate an intelligent conversation with people. They are commonly us

Palabras claves:

ChatBot, Evolutionary programming, Natural Language processing

Cristian Orellana, Diego Hernán Peluffo-Ordóñez, Jeremy Yazán, Lorena Guachi-Guachi, Martín Tobar

A Data-Driven Approach for Automatic Classification of Extreme Precipitation Events: Preliminary Results

Conference Object

Abstract: Even though there exists no universal definition, in the South America Andean Region, extreme precip

Palabras claves:

Data Driven, Extreme precipitation, feature selection, forecasting, PCa, Relief, SVM

D. Chaglla-Aguagallo, Diego Hernán Peluffo-Ordóñez, Escobar-González D., Juan González-Vergara

A Genetic Algorithm for Scheduling Laboratory Rooms: A Case Study

Conference Object

Abstract: Genetic algorithms (GAs) are a great tool for solving optimization problems. Their characteristics a

Palabras claves:

Genetic Algorithms, mutation, Scheduling optimization

Diego Hernán Peluffo-Ordóñez, Esteban Moya, Guachi Robinson, Juan Diego Terneus, Lorena Guachi-Guachi, Mario Moncayo, Martín Larrea, Rafael Fuenmayor, Sebastián Trujillo

Clustering of Reading Ability Performance Variables in the English Language Based on TBL Methodology and Behavior in the Left Hemisphere of the Brain

Conference Object

Abstract: This research presents an application of the clustering based on Thinking Based - Learning methodolo

Palabras claves:

Clustering, Cognitive intelligence, Intelligence execution theory, Linguistic skill, Thinking based-learning

Diego Hernán Peluffo-Ordóñez, Leandro L. Lorente-Leyva, Patiño-Alarcón D.R., Patiño-Alarcón F.A.

Comparative analysis between embedded-spaces-based and Kernel-based approaches for interactive data representation

Conference Object

Abstract: This work presents a comparative analysis between the linear combination of em-bedded spaces resulti

Palabras claves:

Artificial Intelligence, CMDS, Dimensionality reduction methods, Kernel, Kernel PCA, LE, LLE

Carlos M. Ortega-Castillo, Cielo K. Basante-Villota, Diego Fernando Peña-Unigarro, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Salazar-Castro J.A.

Analysis of motor imaginary BCI within multi-environment scenarios using a mixture of classifiers

Conference Object

Abstract: Brain-computer interface (BCI) is a system that provides communication between human beings and mach

Palabras claves:

Brain-Computer Interface, ENVIRONMENTS, Mixture of classifiers, Signal processing

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Marín-Castrillón D.M., Miguel A. Becerra, Moreno-Revelo M.Y., Ortega-Adarme M.

Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches

Conference Object

Abstract: Automatic crop classification using new technologies is recognized as one of the most important asse

Palabras claves:

convolutional neural networks, deep learning, smart farming

Aalaila Y., Bamansour S., Diego Hernán Peluffo-Ordóñez, Elhamdi M., Juan González-Vergara, Lorena Guachi-Guachi, Raki H.

Exploration of characterization and classification techniques for movement identification from EMG signals: Preliminary results

Conference Object

Abstract: Today, human-computer interfaces are increasingly more often used and become necessary for human dai

Palabras claves:

classification, EMG signals, Movements selection, Wavelet

A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Javier E. Revelo-Fuelagán, Laura Daniela Lasso-Arciniegas, Miguel A. Becerra, Salazar-Castro J.A., Viveros-Melo A.

Inverse Data Visualization Framework (IDVF): Towards a Prior-Knowledge-Driven Data Visualization

Conference Object

Abstract: Broadly, the area of dimensionality reduction (DR) is aimed at providing ways to harness high dimens

Palabras claves:

data visualization, Dimensionality reduction, Interaction model, Kernel functions

Diego Hernán Peluffo-Ordóñez, Juan González-Vergara, Martín Vélez-Falconí

Kernel-Spectral-Clustering-Driven Motion Segmentation: Rotating-Objects First Trials

Conference Object

Abstract: Time-varying data characterization and classification is a field of great interest in both scientifi

Palabras claves:

Kernels, motion tracking, Spectral clustering

Diego Hernán Peluffo-Ordóñez, I. C. Marrufo-Rodríguez, K. L. Ponce-Guevara, M. A. Páez-Jaime, Omar R. Oña-Rocha, Riascos-Salas J.A., Salazar-Castro J.A., Torres D.M.