Neural Model Identification Using Local Robustness Analysis. - Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (Fuzzy Days, 2001)

Robust Estimator for the Learning Process in Neural Networks Applied in Time Series. - Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (ICANN, 2002)

Artificial neural networks in time series forecasting: a comparative analysis. - Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (Kybernetika, 2002)

A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function. - Héctor Allende; Rodrigo Salas 001; Claudio Moraga (IbPRIA, 2003)

Robust Learning Algorithm for the Mixture of Experts. - Héctor Allende; Romina Torres; Rodrigo Salas 001; Claudio Moraga (IbPRIA, 2003)

Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series. - Rodrigo Salas 001; Romina Torres; Héctor Allende; Claudio Moraga (IWANN (2), 2003)

Robust Expectation Maximization Learning Algorithm for Mixture of Experts. - Romina Torres; Rodrigo Salas 001; Héctor Allende; Claudio Moraga (IWANN (1), 2003)

Robust Self-organizing Maps. - Héctor Allende; Sebastián Moreno; Cristian Rogel; Rodrigo Salas 001 (CIARP, 2004)

Modular Neural Network Applied to Non-Stationary Time Series. - Héctor Allende; Rodrigo Salas 001; Romina Torres; Claudio Moraga (Fuzzy Days, 2004)

Robust Bootstrapping Neural Networks. - Héctor Allende; Ricardo Ñanculef; Rodrigo Salas 001 (MICAI, 2004)

Robust Neural Gas for the Analysis of Data with Outliers. - Héctor Allende; Sebastián Moreno; Cristian Rogel; Rodrigo Salas 001 (SCCC, 2004)

Flexible Architecture of Self Organizing Maps for Changing Environments. - Rodrigo Salas 001; Héctor Allende; Sebastián Moreno; Carolina Saavedra (CIARP, 2005)

A New Aspect for the Optimization of Fuzzy If-Then Rules. - Claudio Moraga; Rodrigo Salas 001 (ISMVL, 2005)

Robust Growing Hierarchical Self Organizing Map. - Sebastián Moreno; Héctor Allende; Cristian Rogel; Rodrigo Salas 001 (IWANN, 2005)

K-Dynamical Self Organizing Maps. - Carolina Saavedra; Héctor Allende; Sebastián Moreno; Rodrigo Salas 001 (MICAI, 2005)

Robustness Analysis of the Neural Gas Learning Algorithm. - Carolina Saavedra; Sebastián Moreno; Rodrigo Salas 001; Héctor Allende (CIARP, 2006)

A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile. - Eileen Malo; Rodrigo Salas 001; Mónica Catalán; Patricia López (AIME, 2007)

Robust Alternating AdaBoost. - Héctor Allende-Cid; Rodrigo Salas 001; Héctor Allende; Ricardo Ñanculef (CIARP, 2007)

Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging. - Alejandro Veloz; Stéren Chabert; Rodrigo Salas 001; Antonio Orellana; Juan Vielma (CIARP, 2007)

Fusion of Self Organizing Maps. - Carolina Saavedra; Rodrigo Salas 001; Sebastián Moreno; Héctor Allende (IWANN, 2007)

Fusion of Neural Gas. - Sebastián Moreno; Héctor Allende; Rodrigo Salas 001; Carolina Saavedra (IWINAC (1), 2007)

A robust and flexible model of hierarchical self-organizing maps for non-stationary environments. - Rodrigo Salas 001; Sebastián Moreno; Héctor Allende; Claudio Moraga (Neurocomputing, 2007)

Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Alejandro Veloz; Rodrigo Salas 001; Stéren Chabert; Héctor Allende (CIARP, 2008)

Multimodal Algorithm for Iris Recognition with Local Topological Descriptors. - Sergio Campos; Rodrigo Salas 001; Héctor Allende; Carlos Castro 001 (CIARP, 2009)

Fusion of Topology Preserving Neural Networks. - Carolina Saavedra; Rodrigo Salas 001; Héctor Allende; Claudio Moraga (HAIS, 2009)

A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting. - Alejandro Veloz; Héctor Allende-Cid; Héctor Allende; Claudio Moraga; Rodrigo Salas 001 (KES (1), 2009)

Self-Adaptive Fuzzy QoS-Driven Web Service Discovery. - Romina Torres; Hernán Astudillo; Rodrigo Salas 001 (IEEE SCC, 2011)

Zernike's Feature Descriptors for Iris Recognition with SVM. - Juan Reyes-Lopez; Sergio Campos; Héctor Allende; Rodrigo Salas 001 (SCCC, 2011)

Machine fusion to enhance the topology preservation of vector quantization artificial neural networks. - Rodrigo Salas 001; Carolina Saavedra; Héctor Allende; Claudio Moraga (Pattern Recognit. Lett., 2011)

Using event-based metric for event-based neural network weight adjustment. - Thierry Viéville; Rodrigo Salas 001; Bruno Cessac (ESANN, 2012)

Stream Volume Prediction in Twitter with Artificial Neural Networks. - Gabriela Dominguez; Juan Zamora; Miguel Guevara 002; Héctor Allende; Rodrigo Salas 001 (ICPRAM (2), 2012)

SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model. - Alejandro Veloz; Rodrigo Salas 001; Héctor Allende-Cid; Héctor Allende (ISMVL, 2012)

Decentralized Strategy for Supporting Multi-agent Negotiation of Several Aspects of Different Products. - Diana Biscay; Romina Torres; Marcelo Aliquintuy; Hernán Astudillo; Rodrigo Salas 001 (SCCC, 2014)

VirtualMarket: Extending Chilecompra with Agent Capabilities for Identifying Providers Associativity Opportunities and Negotiate Alliance Participation. - Romina Torres; Diana Biscay; Rodrigo Salas 001; Oscar Cornejo; Marcelo Aliquintuy; Hernán Astudillo (SCCC, 2014)

Time-Based Hesitant Fuzzy Information Aggregation Approach for Decision-Making Problems. - Romina Torres; Rodrigo Salas 001; Hernán Astudillo (Int. J. Intell. Syst., 2014)

Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach. - Héctor Allende-Cid; Carlos Valle; Claudio Moraga; Héctor Allende; Rodrigo Salas 001 (IDC, 2015)

SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System. - Héctor Allende-Cid; Rodrigo Salas 001; Alejandro Veloz; Claudio Moraga; Héctor Allende (Int. J. Comput. Intell. Syst., 2016)

Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model. - Alejandro Veloz; Rodrigo Salas 001; Héctor Allende-Cid; Héctor Allende; Claudio Moraga (Neural Process. Lett., 2016)

Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches. - Gonzalo Tapia; Matias Salinas; Jaime Plaza; Diego Mellado; Rodrigo Salas 001; Carolina Saavedra; Alejandro Veloz; Alexis Arriola; Juan Idiaquez; Antonio Glaría (BIOSIGNALS, 2017)

An architecture based on computing with words to support runtime reconfiguration decisions of service-based systems. - Romina Torres; Rodrigo Salas 001; Nelly Bencomo; Hernán Astudillo (Int. J. Comput. Intell. Syst., 2018)

Convolutional neural networks for detection intracranial hemorrhage in CT images. - Juan Sebastian Castro; Stéren Chabert; Carolina Saavedra; Rodrigo Salas 001 (CRoNe, 2019)

Convolutional neural network for cognitive task prediction from EEG's auditory steady state responses. - Daniela Montilla-Trochez; Rodrigo Salas 001; Alejandro Bertin; Inga Griskova-Bulanova; Paulo Lisboa; Carolina Saavedra (CRoNe, 2019)

Computational vision and machine learning to evaluate Metacarpophalangeal and Interphalangeal deviation in fingers for clinical purpose. - Matias Salinas; Astrid Cancino; Alejandra Zazueta; Rodrigo Salas 001 (CRoNe, 2019)

Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning. - Diego Mellado; Carolina Saavedra; Stéren Chabert; Romina Torres; Rodrigo Salas 001 (Algorithms, 2019)

Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System. - Carolina Saavedra; Rodrigo Salas 001; Laurent Bougrain (Comput. Intell. Neurosci., 2019)

Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries' Landing Forecasting with Exogenous Variables. - Eliana Vivas; Héctor Allende-Cid; Rodrigo Salas 001; Lelys Bravo de Guenni (Entropy, 2019)

Framework to prioritize digital transformation initiatives based on the country's development impact. - Denisse Cañete; Romina Torres; Rodrigo Salas 001; Hernán Astudillo (ICEGOV, 2020)

Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California. - Camilo Parra; Carlos Ponce; Rodrigo Salas 001 (SCCC, 2020)

Characterization of the Chilean Public Procurement Ecosystem Using Social Network Analysis. - Fabiola Herrera Leiva; Romina Torres; Orietta Nicolis; Rodrigo Salas 001 (IEEE Access, 2020)

A Dynamic Linguistic Decision Making Approach for a Cryptocurrency Investment Scenario. - Romina Torres; Miguel A. Solis; Rodrigo Salas 001; Aurelio Fernández Bariviera (IEEE Access, 2020)

A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score. - Eliana Vivas; Héctor Allende-Cid; Rodrigo Salas 001 (Entropy, 2020)

Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis. - Alejandro Veloz; Claudio Moraga; Alejandro J. Weinstein; Luis Hernandez-Garcia; Stéren Chabert; Rodrigo Salas 001; Rodrigo Riveros; Carlos Bennett; Héctor Allende (IEEE Trans. Fuzzy Syst., 2020)

Taxonomies using the clique percolation method for building a threats observatory. - Romina Torres; Nicolás González; Mathías Cabrera; Rodrigo Salas 001 (CLEI, 2021)

Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis. - Erika Cantor; Rodrigo Salas 001; Harvey Rosas; Sandra Guauque-Olarte (BioData Min., 2021)

A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations. - Marvin Querales; Rodrigo Salas 001; Yerel Morales; Héctor Allende-Cid; Harvey Rosas (Appl. Soft Comput., 2022)

Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning. - Pamela Franco; Julio Sotelo; Andrea Guala 002; Lydia Dux-Santoy; Arturo Evangelista; José F. Rodríguez Palomares; Domingo Mery; Rodrigo Salas 001; Sergio Uribe (Comput. Biol. Medicine, 2022)

A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms. - Antonio Glaría; Rodrigo Salas 001; Stéren Chabert; Pablo Roncagliolo; Alexis Arriola; Gonzalo Tapia; Matias Salinas; Herman Zepeda; Carla Taramasco; Kayode Oshinubi; Jacques Demongeot (Frontiers Appl. Math. Stat., 2022)

Detection of variables for the diagnosis of overweight and obesity in young Chileans using machine learning techniques. - Mailyn Calderón-Díaz; Leonardo J. Serey-Castillo; Esperanza A. Vallejos-Cuevas; Alexis Espinoza; Rodrigo Salas 001; Mayra A. Macías-Jiménez (ANT/EDI40, 2023)

Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques. - 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; et al. (HCI (47), 2023)

A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings. - Diego Mellado; Marvin Querales; Julio Sotelo; Eduardo Godoy; Fabian Pardo; Scarlett Lever; Stéren Chabert; Rodrigo Salas 001 (SIPAIM, 2023)

Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks. - Cristian Ubal; Gustavo L. Di Giorgi; Javier E. Contreras-Reyes; Rodrigo Salas 001 (Mach. Learn. Knowl. Extr., 2023)

Multilabel Classification of Intracranial Hemorrhages Using Deep Learning and Preprocessing Techniques on Non-contrast CT Images. - Rodrigo Salas 001; Juan Sebastian Castro; Marvin Querales; Carolina Saavedra; Claudia Prieto; Stéren Chabert (CIARP (2), 2024)

Predicting Next Phases of Multi-Stage Network Attacks: A Comparative Study of Statistical and Deep-Learning Models. - Antonia Severín; Claudio Canales; Romina Torres; César Roudergue; Rodrigo Salas 001 (CIARP (2), 2024)

Prediction of Peak-to-Peak Pressure Gradient in Patients with Aortic Coarctation Using Physics-Informed Neural Networks. - Sebastián Jara; Rodrigo Salas 001; Ricardo Ñanculef; Israel Valverde; Sergio Uribe; Julio Sotelo (CLEI, 2024)

A Flat-Hierarchical Approach Based on Machine Learning Model for e-Commerce Product Classification. - Harold Cotacallapa; Nemias Saboya; Paulo Canas Rodrigues; Rodrigo Salas 001; Javier Linkolk López-Gonzales (IEEE Access, 2024)

Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources. - Gonzalo Tapia; Héctor Allende-Cid; Stéren Chabert; Domingo Mery; Rodrigo Salas 001 (IEEE Access, 2024)

Knowledge-slanted random forest method for high-dimensional data and small sample size with a feature selection application for gene expression data. - Erika Cantor; Sandra Guauque-Olarte; Roberto León; Stéren Chabert; Rodrigo Salas 001 (BioData Min., 2024)

Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis. - Mailyn Calderón-Díaz; Rony Silvestre Aguirre; Juan Pablo Vásconez; Roberto Yanez; Matías Roby; Marvin Querales; Rodrigo Salas 001 (Sensors, 2024)

Radiomics-driven neuro-fuzzy framework for rule generation to enhance explainability in MRI-based brain tumor segmentation. - Leondry Mayeta-Revilla; Eduardo Cavieres; Matias Salinas; Diego Mellado; Sebastian Ponce; Francisco Torres Moyano; Stéren Chabert; Marvin Querales; Julio Sotelo; Rodrigo Salas 001 (Frontiers Neuroinformatics, 2025)

Long Short-Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting. - Eliana Vivas; Héctor Allende-Cid; Lelys Bravo de Guenni; Aurelio Fernández Bariviera; Rodrigo Salas 001 (Int. J. Intell. Syst., 2025)

Volatility forecasting using deep recurrent neural networks as GARCH models. - Gustavo L. Di Giorgi; Rodrigo Salas 001; Rodrigo H. Avaria; Cristian Ubal; Harvey Rosas; Romina Torres (Comput. Stat., 2025)