Pablo Venegas
USFQ
34
Coauthors
7
Documentos
5
H-index Scopus
4
I10-index Google
6
H-index Google
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2016 | 1 |
| 2019 | 2 |
| 2020 | 2 |
| 2021 | 1 |
| 2022 | 1 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Aprendizaje automático | 4 |
| Sismología | 3 |
| Volcanismo | 2 |
| Ciencias de la computación | 2 |
| Zoología | 1 |
| Geofísica | 1 |
| Comunicación | 1 |
| Red de sensores inalámbricos | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Geología, hidrología, meteorología | 2 |
| Ciencias de la computación | 2 |
| Ciencias de la tierra | 2 |
| Métodos informáticos especiales | 1 |
| Tecnología (Ciencias aplicadas) | 1 |
| Cultivos de huerta (horticultura) | 1 |
| Física aplicada | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 7 |
| Google Scholar | 2 |
| RRAAE | 0 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Noel Perez | 6 |
| Diego S. Benitez | 6 |
| Mario C. Ruiz | 4 |
| Roman Lara-Cueva | 4 |
| Jose Luis Rojo-Álvarez | 2 |
| SONIA ZAPATA MENA | 1 |
| Juan Daniel Mosquera | 1 |
| Augot D. | 1 |
| Daniel Riofrio | 1 |
| Giovanni M. Ramón-Cabrera | 1 |
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Top Keywords
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Publicaciones del autor
Selection of the reference anchor node by using SNR in TDOA-based positioning
Conference ObjectAbstract: This article studies the positioning problem for wireless networks when TDOA measures are used and tPalabras claves:Cramer Rao Bounds (CRB), Greenstein model, network-based positioning, reference anchor node, space-time diversity, Wireless Sensor NetworksAutores:Diego Ortiz Villalba, Pablo Venegas, Rene Jativa E., Vidal J.Fuentes:googlescopusCombining Filter-Based Feature Selection Methods and Gaussian Mixture Model for the Classification of Seismic Events from Cotopaxi Volcano
ArticleAbstract: This paper proposes an exhaustive evaluation of five different filter-based feature selection methodPalabras claves:Feature selection methods, Gaussian mixture model (GMM) classifier, Redundancy analysis, Seismic Events ClassificationAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:googlescopusBuilding Machine Learning Models for Long-Period and Volcano-Tectonic Event Classification
Conference ObjectAbstract: The proper identification of several types of volcanic seismic events can be related to the intrinsiPalabras claves:Ensemble Classification Model, Machine learning classifiers, Seismic Events ClassificationAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:scopusA New volcanic seismic signal descriptor and its application to a data set from the cotopaxi volcano
ArticleAbstract: This article proposes a new volcano seismic signal descriptor for improving the area under the receiPalabras claves:Machine learning classifiers (MLCs), seismic event classification, seismic pattern generation, spectrogram based featuresAutores:Diego S. Benitez, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:scopusBenchmarking Seismic-Based Feature Groups to Classify the Cotopaxi Volcanic Activity
ArticleAbstract: We systematically and comprehensively tested almost 100 feature groups in four commonly used automatPalabras claves:Feature relevance, feed-forward back-propagation (FFBP) neural network, k-nearest neighbors (kNN), Machine learning classifiers (MLCs), naive Bayes (NB), random forest (RF), Seismic Events Classification, volcano seismic events featuresAutores:Diego S. Benitez, Felipe Grijalva, Mario C. Ruiz, Noel Perez, Pablo Venegas, Roman Lara-CuevaFuentes:scopus