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ORCIDRodrigo Salas 0001
Person information
- affiliation: Universidad de Valparaíso, Chile
Other persons with the same name
- Rodrigo Salas 0002
![[0000-0003-1729-5549]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-1729-5549")
— University of Chile, Department of Electrical Engineering, Santiago, Chile
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Journal Articles
- 2024
[j21]Harold Cotacallapa, Nemias Saboya, Paulo Canas Rodrigues, Rodrigo Salas, Javier Linkolk López-Gonzales:
A Flat-Hierarchical Approach Based on Machine Learning Model for e-Commerce Product Classification. IEEE Access 12: 72730-72745 (2024)- [j20]Mailyn Calderón-Díaz, Rony Silvestre Aguirre, Juan Pablo Vásconez, Roberto Yanez, Matías Roby, Marvin Querales, Rodrigo Salas:
Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis. Sensors 24(1): 119 (2024) - 2023
- [j19]Cristian Ubal, Gustavo L. Di Giorgi, Javier E. Contreras-Reyes, Rodrigo Salas:
Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks. Mach. Learn. Knowl. Extr. 5(4): 1340-1358 (2023) - 2022
- [j18]Marvin Querales, Rodrigo Salas, Yerel Morales, Héctor Allende-Cid, Harvey Rosas:
A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations. Appl. Soft Comput. 118: 108535 (2022) - [j17]Pamela Franco, Julio Sotelo, Andrea Guala, Lydia Dux-Santoy, Arturo Evangelista, José F. Rodríguez Palomares, Domingo Mery, Rodrigo Salas, Sergio Uribe:
Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Comput. Biol. Medicine 141: 105147 (2022) - [j16]Antonio Glaría, Rodrigo Salas, Stéren Chabert, Pablo Roncagliolo, Alexis Arriola, Gonzalo Tapia, Matias Salinas, Herman Zepeda, Carla Taramasco, Kayode Oshinubi, Jacques Demongeot:
A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms. Frontiers Appl. Math. Stat. 8 (2022) - 2021
- [j15]Erika Cantor, Rodrigo Salas, Harvey Rosas, Sandra Guauque-Olarte:
Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis. BioData Min. 14(1) (2021) - 2020
- [j14]Fabiola Herrera Leiva, Romina Torres, Orietta Nicolis, Rodrigo Salas:
Characterization of the Chilean Public Procurement Ecosystem Using Social Network Analysis. IEEE Access 8: 138846-138858 (2020) - [j13]Romina Torres, Miguel A. Solis, Rodrigo Salas, Aurelio Fernández Bariviera:
A Dynamic Linguistic Decision Making Approach for a Cryptocurrency Investment Scenario. IEEE Access 8: 228514-228524 (2020) - [j12]Eliana Vivas, Héctor Allende-Cid, Rodrigo Salas:
A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score. Entropy 22(12): 1412 (2020) - [j11]Alejandro Veloz, Claudio Moraga, Alejandro J. Weinstein, Luis Hernandez-Garcia, Stéren Chabert, Rodrigo Salas, Rodrigo Riveros, Carlos Bennett, Héctor Allende:
Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. IEEE Trans. Fuzzy Syst. 28(1): 100-111 (2020) - 2019
- [j10]Diego Mellado, Carolina Saavedra, Stéren Chabert, Romina Torres, Rodrigo Salas:
Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning. Algorithms 12(10): 206 (2019) - [j9]Carolina Saavedra, Rodrigo Salas, Laurent Bougrain:
Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System. Comput. Intell. Neurosci. 2019: 8432953:1-8432953:10 (2019) - [j8]Eliana Vivas, Héctor Allende-Cid, Rodrigo Salas, Lelys Bravo de Guenni:
Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries' Landing Forecasting with Exogenous Variables. Entropy 21(11): 1082 (2019) - 2018
- [j7]Romina Torres, Rodrigo Salas, Nelly Bencomo, Hernán Astudillo:
An architecture based on computing with words to support runtime reconfiguration decisions of service-based systems. Int. J. Comput. Intell. Syst. 11(1): 272-281 (2018) - 2016
- [j6]Héctor Allende-Cid, Rodrigo Salas, Alejandro Veloz, Claudio Moraga, Héctor Allende:
SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. Int. J. Comput. Intell. Syst. 9(3): 416-432 (2016) - [j5]Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende, Claudio Moraga:
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. Neural Process. Lett. 43(3): 641-666 (2016) - 2014
- [j4]Romina Torres, Rodrigo Salas, Hernán Astudillo:
Time-Based Hesitant Fuzzy Information Aggregation Approach for Decision-Making Problems. Int. J. Intell. Syst. 29(6): 579-595 (2014) - 2011
- [j3]Rodrigo Salas, Carolina Saavedra, Héctor Allende, Claudio Moraga:
Machine fusion to enhance the topology preservation of vector quantization artificial neural networks. Pattern Recognit. Lett. 32(7): 962-972 (2011) - 2007
- [j2]Rodrigo Salas, Sebastián Moreno, Héctor Allende, Claudio Moraga:
A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. Neurocomputing 70(16-18): 2744-2757 (2007) - 2002
- [j1]Héctor Allende, Claudio Moraga, Rodrigo Salas:
Artificial neural networks in time series forecasting: a comparative analysis. Kybernetika 38(6): 685-707 (2002)
Conference and Workshop Papers
- 2023
- [c42]Mailyn Calderón-Díaz, Leonardo J. Serey-Castillo, Esperanza A. Vallejos-Cuevas, Alexis Espinoza, Rodrigo Salas, Mayra A. Macías-Jiménez:
Detection of variables for the diagnosis of overweight and obesity in young Chileans using machine learning techniques. ANT/EDI40 2023: 978-983 - [c41]Jonathan Ugalde, Eduardo Godoy, Diego Mellado, Eduardo Cavieres, Bastian Carvajal, Carlos Fernández, Pamela Illescas, Rodrigo H. Avaria, Claudia Díaz, Rodrigo Ferreira, Marvin Querales, Scarlett Lever, Julio Sotelo, Stéren Chabert, Rodrigo Salas:
Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques. HCI (47) 2023: 538-545 - [c40]Diego Mellado, Marvin Querales, Julio Sotelo, Eduardo Godoy, Fabian Pardo, Scarlett Lever, Stéren Chabert, Rodrigo Salas:
A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings. SIPAIM 2023: 1-5 - 2021
- [c39]Romina Torres, Nicolás González, Mathías Cabrera, Rodrigo Salas:
Taxonomies using the clique percolation method for building a threats observatory. CLEI 2021: 1-5 - 2020
- [c38]Denisse Cañete, Romina Torres, Rodrigo Salas, Hernán Astudillo:
Framework to prioritize digital transformation initiatives based on the country's development impact. ICEGOV 2020: 477-484 - [c37]Camilo Parra, Carlos Ponce, Rodrigo Salas:
Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California. SCCC 2020: 1-8 - 2019
- [c36]Matias Salinas, Astrid Cancino, Alejandra Zazueta, Rodrigo Salas:
Computational vision and machine learning to evaluate Metacarpophalangeal and Interphalangeal deviation in fingers for clinical purpose. CRoNe 2019: 31-36 - [c35]Juan Sebastian Castro, Stéren Chabert, Carolina Saavedra, Rodrigo Salas:
Convolutional neural networks for detection intracranial hemorrhage in CT images. CRoNe 2019: 37-43 - [c34]Daniela Montilla-Trochez, Rodrigo Salas, Alejandro Bertin, Inga Griskova-Bulanova, Paulo Lisboa, Carolina Saavedra:
Convolutional neural network for cognitive task prediction from EEG's auditory steady state responses. CRoNe 2019: 44-50 - 2017
- [c33]Gonzalo Tapia, Matias Salinas, Jaime Plaza, Diego Mellado, Rodrigo Salas, Carolina Saavedra, Alejandro Veloz, Alexis Arriola, Juan Idiaquez, Antonio Glaría:
Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches. BIOSIGNALS 2017: 155-162 - 2015
- [c32]Héctor Allende-Cid, Carlos Valle, Claudio Moraga, Héctor Allende, Rodrigo Salas:
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. IDC 2015: 223-232 - 2014
- [c31]Diana Biscay, Romina Torres, Marcelo Aliquintuy, Hernán Astudillo, Rodrigo Salas:
Decentralized Strategy for Supporting Multi-agent Negotiation of Several Aspects of Different Products. SCCC 2014: 34-38 - [c30]Romina Torres, Diana Biscay, Rodrigo Salas, Oscar Cornejo, Marcelo Aliquintuy, Hernán Astudillo:
VirtualMarket: Extending Chilecompra with Agent Capabilities for Identifying Providers Associativity Opportunities and Negotiate Alliance Participation. SCCC 2014: 39-43 - 2012
- [c29]Thierry Viéville, Rodrigo Salas, Bruno Cessac:
Using event-based metric for event-based neural network weight adjustment. ESANN 2012 - [c28]Gabriela Dominguez, Juan Zamora, Miguel Guevara, Héctor Allende, Rodrigo Salas:
Stream Volume Prediction in Twitter with Artificial Neural Networks. ICPRAM (2) 2012: 488-493 - [c27]Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende:
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. ISMVL 2012: 226-231 - 2011
- [c26]Romina Torres, Hernán Astudillo, Rodrigo Salas:
Self-Adaptive Fuzzy QoS-Driven Web Service Discovery. IEEE SCC 2011: 64-71 - [c25]Juan Reyes-Lopez, Sergio Campos, Héctor Allende, Rodrigo Salas:
Zernike's Feature Descriptors for Iris Recognition with SVM. SCCC 2011: 283-288 - 2009
- [c24]Sergio Campos, Rodrigo Salas, Héctor Allende, Carlos Castro:
Multimodal Algorithm for Iris Recognition with Local Topological Descriptors. CIARP 2009: 766-773 - [c23]Carolina Saavedra, Rodrigo Salas, Héctor Allende, Claudio Moraga:
Fusion of Topology Preserving Neural Networks. HAIS 2009: 517-524 - [c22]Alejandro Veloz, Héctor Allende-Cid, Héctor Allende, Claudio Moraga, Rodrigo Salas:
A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. KES (1) 2009: 22-29 - 2008
- [c21]Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende:
Self-Organizing Neuro-Fuzzy Inference System. CIARP 2008: 429-436 - 2007
- [c20]Eileen Malo, Rodrigo Salas, Mónica Catalán, Patricia López:
A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile. AIME 2007: 190-194 - [c19]Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef:
Robust Alternating AdaBoost. CIARP 2007: 427-436 - [c18]Alejandro Veloz, Stéren Chabert, Rodrigo Salas, Antonio Orellana, Juan Vielma:
Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging. CIARP 2007: 861-870 - [c17]Carolina Saavedra, Rodrigo Salas, Sebastián Moreno, Héctor Allende:
Fusion of Self Organizing Maps. IWANN 2007: 227-234 - [c16]Sebastián Moreno, Héctor Allende, Rodrigo Salas, Carolina Saavedra:
Fusion of Neural Gas. IWINAC (1) 2007: 558-567 - 2006
- [c15]Carolina Saavedra, Sebastián Moreno, Rodrigo Salas, Héctor Allende:
Robustness Analysis of the Neural Gas Learning Algorithm. CIARP 2006: 559-568 - 2005
- [c14]Rodrigo Salas, Héctor Allende, Sebastián Moreno, Carolina Saavedra:
Flexible Architecture of Self Organizing Maps for Changing Environments. CIARP 2005: 642-653 - [c13]Claudio Moraga, Rodrigo Salas:
A New Aspect for the Optimization of Fuzzy If-Then Rules. ISMVL 2005: 160-165 - [c12]Sebastián Moreno, Héctor Allende, Cristian Rogel, Rodrigo Salas:
Robust Growing Hierarchical Self Organizing Map. IWANN 2005: 341-348 - [c11]Carolina Saavedra, Héctor Allende, Sebastián Moreno, Rodrigo Salas:
K-Dynamical Self Organizing Maps. MICAI 2005: 702-711 - 2004
- [c10]Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas:
Robust Self-organizing Maps. CIARP 2004: 179-186 - [c9]Héctor Allende, Rodrigo Salas, Romina Torres, Claudio Moraga:
Modular Neural Network Applied to Non-Stationary Time Series. Fuzzy Days 2004: 585-598 - [c8]Héctor Allende, Ricardo Ñanculef, Rodrigo Salas:
Robust Bootstrapping Neural Networks. MICAI 2004: 813-822 - [c7]Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas:
Robust Neural Gas for the Analysis of Data with Outliers. SCCC 2004: 149-155 - 2003
- [c6]Héctor Allende, Romina Torres, Rodrigo Salas, Claudio Moraga:
Robust Learning Algorithm for the Mixture of Experts. IbPRIA 2003: 19-27 - [c5]Héctor Allende, Rodrigo Salas, Claudio Moraga:
A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function. IbPRIA 2003: 28-36 - [c4]Romina Torres, Rodrigo Salas, Héctor Allende, Claudio Moraga:
Robust Expectation Maximization Learning Algorithm for Mixture of Experts. IWANN (1) 2003: 238-245 - [c3]Rodrigo Salas, Romina Torres, Héctor Allende, Claudio Moraga:
Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series. IWANN (2) 2003: 441-448 - 2002
- [c2]Héctor Allende, Claudio Moraga, Rodrigo Salas:
Robust Estimator for the Learning Process in Neural Networks Applied in Time Series. ICANN 2002: 1080-1086 - 2001
- [c1]Héctor Allende, Claudio Moraga, Rodrigo Salas:
Neural Model Identification Using Local Robustness Analysis. Fuzzy Days 2001: 162-173
Coauthor Index
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