Rodrigo Salas - RankMe

79 papers B 2C 10Misc 6Journal 30Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Regional vs local LSTM models for short-term streamflow forecasting under operational constraints. Environ. Model. Softw. Jorge Saavedra-Garrido, Jorge Arevalo, Luis De La Fuente, Aldo Tapia, Christopher Paredes-Arroyo, Ana Maria Cordova, Daira Velandia, Pablo Álvarez, Héctor Reyes-Serrano, Rodrigo Salas
2025	—	`conf`	Assessing AI-Based System Acceptance Through the Design of a Trustworthiness Estimation Tool for Machine Learning Models. HCI (74) Jonathan Ugalde, Rodrigo Salas, Aurelio Fernández Bariviera, María Paz Godoy
2025	J	`jnl`	Evaluating the Influence of Physical Activity on Gait Aging Using Multilevel Machine Learning. IEEE Access Mailyn Calderón-Díaz, Ricardo Jiménez, Carolina Saavedra, Juan Pablo Vásconez, Romina Torres, Miguel A. Solis, Daira Velandia, Rodrigo Salas
2025	J	`jnl`	Interpretable machine learning model for characterizing magnetic susceptibility-based biomarkers in first episode psychosis. Comput. Methods Programs Biomed. Pamela Franco, Cristian Montalba, Raúl Caulier-Cisterna, Carlos Milovic, Alfonso González, Juan P. Ramirez-Mahaluf, Juan Undurraga, Rodrigo Salas, Nicolas Crossley, Cristian Tejos, Sergio Uribe
2025	J	`jnl`	Long Short-Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting. Int. J. Intell. Syst. Eliana Vivas, Héctor Allende-Cid, Lelys Bravo de Guenni, Aurelio Fernández Bariviera, Rodrigo Salas
2025	—	`conf`	Performance comparison of supervised and unsupervised deep learning models for ischemic lesion detection and segmentation in stroke non-contrast CT images. SIPAIM Constanza Rodriguez, Felipe Estay, David Ortiz, Hermes Mora, Rodrigo Salas, Stéren Chabert
2025	—	`conf`	Radiomic Features Extraction from CMR perfusion imaging to evaluate ischemic damage and ventricular function in coronary artery disease. SIPAIM Cristina Jiménez-Jara, Rodrigo Salas, Rienzi A. Diaz-Navarro, Julio Sotelo
2025	J	`jnl`	Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation. Frontiers Neuroinformatics Leondry Mayeta-Revilla, Eduardo Cavieres, Matias Salinas, Diego Mellado, Sebastian Ponce, Francisco Torres Moyano, Stéren Chabert, Marvin Querales, Julio Sotelo, Rodrigo Salas
2025	—	`conf`	Visual Explainability of Attention U-Net for Brain Tumor Segmentation in Multicontrast Magnetic Resonance Images. SIPAIM Gabriel Guerra, Esthefanía Astargo, Diego Mellado, Leondry Mayeta, Stéren Chabert, David Ortiz, Rodrigo Salas
2025	J	`jnl`	Volatility forecasting using deep recurrent neural networks as GARCH models. Comput. Stat. Gustavo L. Di Giorgi, Rodrigo Salas, Rodrigo H. Avaria, Cristian Ubal, Harvey Rosas, Romina Torres
2024	J	`jnl`	A Flat-Hierarchical Approach Based on Machine Learning Model for e-Commerce Product Classification. IEEE Access Harold Cotacallapa, Nemias Saboya, Paulo Canas Rodrigues, Rodrigo Salas, Javier Linkolk López-Gonzales
2024	J	`jnl`	Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks. Entropy Javier Linkolk López-Gonzales, Rodrigo Salas, Daira Velandia, Paulo Canas Rodrigues
2024	J	`jnl`	Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources. IEEE Access Gonzalo Tapia, Héctor Allende-Cid, Stéren Chabert, Domingo Mery, Rodrigo Salas
2024	J	`jnl`	Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis. Sensors Mailyn Calderón-Díaz, Rony Silvestre Aguirre, Juan Pablo Vásconez, Roberto Yanez, Matías Roby, Marvin Querales, Rodrigo Salas
2024	J	`jnl`	Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data. BioData Min. Erika Cantor, Sandra Guauque-Olarte, Roberto León, Stéren Chabert, Rodrigo Salas
2024	—	`conf`	Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images. CIARP (2) Rodrigo Salas, Juan Sebastian Castro, Marvin Querales, Carolina Saavedra, Claudia Prieto, Stéren Chabert
2024	—	`conf`	Predicting Next Phases of Multi-Stage Network Attacks: A Comparative Study of Statistical and Deep-Learning Models. CIARP (2) Antonia Severín, Claudio Canales, Romina Torres, César Roudergue, Rodrigo Salas
2024	C	`conf`	Prediction of Peak-to-Peak Pressure Gradient in Patients with Aortic Coarctation Using Physics-Informed Neural Networks. CLEI Sebastián Jara, Rodrigo Salas, Ricardo Ñanculef, Israel Valverde, Sergio Uribe, Julio Sotelo
2023	—	`conf`	A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings. SIPAIM Diego Mellado, Marvin Querales, Julio Sotelo, Eduardo Godoy, Fabian Pardo, Scarlett Lever, Stéren Chabert, Rodrigo Salas
2023	—	`conf`	Detection of variables for the diagnosis of overweight and obesity in young Chileans using machine learning techniques. ANT/EDI40 Mailyn Calderón-Díaz, Leonardo J. Serey-Castillo, Esperanza A. Vallejos-Cuevas, Alexis Espinoza, Rodrigo Salas, Mayra A. Macías-Jiménez
2023	J	`jnl`	Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks. Mach. Learn. Knowl. Extr. Cristian Ubal, Gustavo L. Di Giorgi, Javier E. Contreras-Reyes, Rodrigo Salas
2023	—	`conf`	Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques. HCI (47) 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
2022	J	`jnl`	A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms. Frontiers Appl. Math. Stat. Antonio Glaría, Rodrigo Salas, Stéren Chabert, Pablo Roncagliolo, Alexis Arriola, Gonzalo Tapia, Matias Salinas, Herman Zepeda, Carla Taramasco, Kayode Oshinubi, Jacques Demongeot
2022	J	`jnl`	A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations. Appl. Soft Comput. Marvin Querales, Rodrigo Salas, Yerel Morales, Héctor Allende-Cid, Harvey Rosas
2022	J	`jnl`	Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. Comput. Biol. Medicine Pamela Franco, Julio Sotelo, Andrea Guala, Lydia Dux-Santoy, Arturo Evangelista, José F. Rodríguez Palomares, Domingo Mery, Rodrigo Salas, Sergio Uribe
2021	J	`jnl`	Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis. BioData Min. Erika Cantor, Rodrigo Salas, Harvey Rosas, Sandra Guauque-Olarte
2021	C	`conf`	Taxonomies using the clique percolation method for building a threats observatory. CLEI Romina Torres, Nicolás González, Mathías Cabrera, Rodrigo Salas
2020	J	`jnl`	A Dynamic Linguistic Decision Making Approach for a Cryptocurrency Investment Scenario. IEEE Access Romina Torres, Miguel A. Solis, Rodrigo Salas, Aurelio Fernández Bariviera
2020	J	`jnl`	A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score. Entropy Eliana Vivas, Héctor Allende-Cid, Rodrigo Salas
2020	J	`jnl`	Characterization of the Chilean Public Procurement Ecosystem Using Social Network Analysis. IEEE Access Fabiola Herrera Leiva, Romina Torres, Orietta Nicolis, Rodrigo Salas
2020	—	`conf`	Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California. SCCC Camilo Parra, Carlos Ponce, Rodrigo Salas
2020	—	`conf`	Framework to prioritize digital transformation initiatives based on the country's development impact. ICEGOV Denisse Cañete, Romina Torres, Rodrigo Salas, Hernán Astudillo
2020	J	`jnl`	Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. IEEE Trans. Fuzzy Syst. Alejandro Veloz, Claudio Moraga, Alejandro J. Weinstein, Luis Hernandez-Garcia, Stéren Chabert, Rodrigo Salas, Rodrigo Riveros, Carlos Bennett, Héctor Allende
2019	—	`conf`	Computational vision and machine learning to evaluate Metacarpophalangeal and Interphalangeal deviation in fingers for clinical purpose. CRoNe Matias Salinas, Astrid Cancino, Alejandra Zazueta, Rodrigo Salas
2019	—	`conf`	Convolutional neural network for cognitive task prediction from EEG's auditory steady state responses. CRoNe Daniela Montilla-Trochez, Rodrigo Salas, Alejandro Bertin, Inga Griskova-Bulanova, Paulo Lisboa, Carolina Saavedra
2019	—	`conf`	Convolutional neural networks for detection intracranial hemorrhage in CT images. CRoNe Juan Sebastian Castro, Stéren Chabert, Carolina Saavedra, Rodrigo Salas
2019	J	`jnl`	Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries' Landing Forecasting with Exogenous Variables. Entropy Eliana Vivas, Héctor Allende-Cid, Rodrigo Salas, Lelys Bravo de Guenni
2019	J	`jnl`	Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning. Algorithms Diego Mellado, Carolina Saavedra, Stéren Chabert, Romina Torres, Rodrigo Salas
2019	J	`jnl`	Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System. Comput. Intell. Neurosci. Carolina Saavedra, Rodrigo Salas, Laurent Bougrain
2018	J	`jnl`	An architecture based on computing with words to support runtime reconfiguration decisions of service-based systems. Int. J. Comput. Intell. Syst. Romina Torres, Rodrigo Salas, Nelly Bencomo, Hernán Astudillo
2017	—	`conf`	Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches. BIOSIGNALS Gonzalo Tapia, Matias Salinas, Jaime Plaza, Diego Mellado, Rodrigo Salas, Carolina Saavedra, Alejandro Veloz, Alexis Arriola, Juan Idiaquez, Antonio Glaría
2016	J	`jnl`	Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. Neural Process. Lett. Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende, Claudio Moraga
2016	J	`jnl`	SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. Int. J. Comput. Intell. Syst. Héctor Allende-Cid, Rodrigo Salas, Alejandro Veloz, Claudio Moraga, Héctor Allende
2015	Misc	`conf`	Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. IDC Héctor Allende-Cid, Carlos Valle, Claudio Moraga, Héctor Allende, Rodrigo Salas
2014	—	`conf`	Decentralized Strategy for Supporting Multi-agent Negotiation of Several Aspects of Different Products. SCCC Diana Biscay, Romina Torres, Marcelo Aliquintuy, Hernán Astudillo, Rodrigo Salas
2014	J	`jnl`	Time-Based Hesitant Fuzzy Information Aggregation Approach for Decision-Making Problems. Int. J. Intell. Syst. Romina Torres, Rodrigo Salas, Hernán Astudillo
2014	—	`conf`	VirtualMarket: Extending Chilecompra with Agent Capabilities for Identifying Providers Associativity Opportunities and Negotiate Alliance Participation. SCCC Romina Torres, Diana Biscay, Rodrigo Salas, Oscar Cornejo, Marcelo Aliquintuy, Hernán Astudillo
2012	—	`conf`	SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. ISMVL Alejandro Veloz, Rodrigo Salas, Héctor Allende-Cid, Héctor Allende
2012	—	`conf`	Stream Volume Prediction in Twitter with Artificial Neural Networks. ICPRAM (2) Gabriela Dominguez, Juan Zamora, Miguel Guevara, Héctor Allende, Rodrigo Salas
2012	B	`conf`	Using event-based metric for event-based neural network weight adjustment. ESANN Thierry Viéville, Rodrigo Salas, Bruno Cessac
2011	J	`jnl`	Machine fusion to enhance the topology preservation of vector quantization artificial neural networks. Pattern Recognit. Lett. Rodrigo Salas, Carolina Saavedra, Héctor Allende, Claudio Moraga
2011	—	`conf`	Self-Adaptive Fuzzy QoS-Driven Web Service Discovery. IEEE SCC Romina Torres, Hernán Astudillo, Rodrigo Salas
2011	—	`conf`	Zernike's Feature Descriptors for Iris Recognition with SVM. SCCC Juan Reyes-Lopez, Sergio Campos, Héctor Allende, Rodrigo Salas
2009	—	`conf`	A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. KES (1) Alejandro Veloz, Héctor Allende-Cid, Héctor Allende, Claudio Moraga, Rodrigo Salas
2009	Misc	`conf`	Fusion of Topology Preserving Neural Networks. HAIS Carolina Saavedra, Rodrigo Salas, Héctor Allende, Claudio Moraga
2009	C	`conf`	Multimodal Algorithm for Iris Recognition with Local Topological Descriptors. CIARP Sergio Campos, Rodrigo Salas, Héctor Allende, Carlos Castro
2008	C	`conf`	Self-Organizing Neuro-Fuzzy Inference System. CIARP Héctor Allende-Cid, Alejandro Veloz, Rodrigo Salas, Stéren Chabert, Héctor Allende
2007	B	`conf`	A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile. AIME Eileen Malo, Rodrigo Salas, Mónica Catalán, Patricia López
2007	J	`jnl`	A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. Neurocomputing Rodrigo Salas, Sebastián Moreno, Héctor Allende, Claudio Moraga
2007	—	`conf`	Fusion of Neural Gas. IWINAC (1) Sebastián Moreno, Héctor Allende, Rodrigo Salas, Carolina Saavedra
2007	Misc	`conf`	Fusion of Self Organizing Maps. IWANN Carolina Saavedra, Rodrigo Salas, Sebastián Moreno, Héctor Allende
2007	C	`conf`	Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging. CIARP Alejandro Veloz, Stéren Chabert, Rodrigo Salas, Antonio Orellana, Juan Vielma
2007	C	`conf`	Robust Alternating AdaBoost. CIARP Héctor Allende-Cid, Rodrigo Salas, Héctor Allende, Ricardo Ñanculef
2006	C	`conf`	Robustness Analysis of the Neural Gas Learning Algorithm. CIARP Carolina Saavedra, Sebastián Moreno, Rodrigo Salas, Héctor Allende
2005	—	`conf`	A New Aspect for the Optimization of Fuzzy If-Then Rules. ISMVL Claudio Moraga, Rodrigo Salas
2005	C	`conf`	Flexible Architecture of Self Organizing Maps for Changing Environments. CIARP Rodrigo Salas, Héctor Allende, Sebastián Moreno, Carolina Saavedra
2005	—	`conf`	K-Dynamical Self Organizing Maps. MICAI Carolina Saavedra, Héctor Allende, Sebastián Moreno, Rodrigo Salas
2005	Misc	`conf`	Robust Growing Hierarchical Self Organizing Map. IWANN Sebastián Moreno, Héctor Allende, Cristian Rogel, Rodrigo Salas
2004	—	`conf`	Modular Neural Network Applied to Non-Stationary Time Series. Fuzzy Days Héctor Allende, Rodrigo Salas, Romina Torres, Claudio Moraga
2004	—	`conf`	Robust Bootstrapping Neural Networks. MICAI Héctor Allende, Ricardo Ñanculef, Rodrigo Salas
2004	—	`conf`	Robust Neural Gas for the Analysis of Data with Outliers. SCCC Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas
2004	C	`conf`	Robust Self-organizing Maps. CIARP Héctor Allende, Sebastián Moreno, Cristian Rogel, Rodrigo Salas
2003	Misc	`conf`	A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function. IbPRIA Héctor Allende, Rodrigo Salas, Claudio Moraga
2003	—	`conf`	Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series. IWANN (2) Rodrigo Salas, Romina Torres, Héctor Allende, Claudio Moraga
2003	—	`conf`	Robust Expectation Maximization Learning Algorithm for Mixture of Experts. IWANN (1) Romina Torres, Rodrigo Salas, Héctor Allende, Claudio Moraga
2003	Misc	`conf`	Robust Learning Algorithm for the Mixture of Experts. IbPRIA Héctor Allende, Romina Torres, Rodrigo Salas, Claudio Moraga
2002	J	`jnl`	Artificial neural networks in time series forecasting: a comparative analysis. Kybernetika Héctor Allende, Claudio Moraga, Rodrigo Salas
2002	C	`conf`	Robust Estimator for the Learning Process in Neural Networks Applied in Time Series. ICANN Héctor Allende, Claudio Moraga, Rodrigo Salas
2001	—	`conf`	Neural Model Identification Using Local Robustness Analysis. Fuzzy Days Héctor Allende, Claudio Moraga, Rodrigo Salas