Rodrigo Salas

Orcid: 0000-0002-0350-6811

Affiliations:
  • Universidad de Valparaíso, Chile


According to our database1, Rodrigo Salas authored at least 62 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis.
Sensors, 2024

2023
Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks.
Mach. Learn. Knowl. Extr., December, 2023

A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings.
Proceedings of the 19th International Symposium on Medical Information Processing and Analysis, 2023

Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques.
Proceedings of the HCI International 2023 Posters, 2023

Detection of variables for the diagnosis of overweight and obesity in young Chileans using machine learning techniques.
Proceedings of the 14th International Conference on Ambient Systems, 2023

2022
A Step Forward to Formalize Tailored to Problem Specificity Mathematical Transforms.
Frontiers Appl. Math. Stat., 2022

Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning.
Comput. Biol. Medicine, 2022

A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations.
Appl. Soft Comput., 2022

2021
Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis.
BioData Min., 2021

Taxonomies using the clique percolation method for building a threats observatory.
Proceedings of the XLVII Latin American Computing Conference, 2021

2020
Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis.
IEEE Trans. Fuzzy Syst., 2020

A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score.
Entropy, 2020

A Dynamic Linguistic Decision Making Approach for a Cryptocurrency Investment Scenario.
IEEE Access, 2020

Characterization of the Chilean Public Procurement Ecosystem Using Social Network Analysis.
IEEE Access, 2020

Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California.
Proceedings of the 39th International Conference of the Chilean Computer Science Society, 2020

Framework to prioritize digital transformation initiatives based on the country's development impact.
Proceedings of the ICEGOV 2020: 13th International Conference on Theory and Practice of Electronic Governance, 2020

2019
Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries' Landing Forecasting with Exogenous Variables.
Entropy, 2019

Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System.
Comput. Intell. Neurosci., 2019

Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning.
Algorithms, 2019

Computational vision and machine learning to evaluate Metacarpophalangeal and Interphalangeal deviation in fingers for clinical purpose.
Proceedings of the 5th Congress on Robotics and Neuroscience, 2019

Convolutional neural network for cognitive task prediction from EEG's auditory steady state responses.
Proceedings of the 5th Congress on Robotics and Neuroscience, 2019

Convolutional neural networks for detection intracranial hemorrhage in CT images.
Proceedings of the 5th Congress on Robotics and Neuroscience, 2019

2018
An architecture based on computing with words to support runtime reconfiguration decisions of service-based systems.
Int. J. Comput. Intell. Syst., 2018

2017
Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2016
Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model.
Neural Process. Lett., 2016

SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System.
Int. J. Comput. Intell. Syst., 2016

2015
Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach.
Proceedings of the Intelligent Distributed Computing IX - Proceedings of the 9th International Symposium on Intelligent Distributed Computing, 2015

2014
Time-Based Hesitant Fuzzy Information Aggregation Approach for Decision-Making Problems.
Int. J. Intell. Syst., 2014

VirtualMarket: Extending Chilecompra with Agent Capabilities for Identifying Providers Associativity Opportunities and Negotiate Alliance Participation.
Proceedings of the 33rd International Conference of the Chilean Computer Science Society, 2014

Decentralized Strategy for Supporting Multi-agent Negotiation of Several Aspects of Different Products.
Proceedings of the 33rd International Conference of the Chilean Computer Science Society, 2014

2012
SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model.
Proceedings of the 42nd IEEE International Symposium on Multiple-Valued Logic, 2012

Stream Volume Prediction in Twitter with Artificial Neural Networks.
Proceedings of the ICPRAM 2012, 2012

Using event-based metric for event-based neural network weight adjustment.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Machine fusion to enhance the topology preservation of vector quantization artificial neural networks.
Pattern Recognit. Lett., 2011

Zernike's Feature Descriptors for Iris Recognition with SVM.
Proceedings of the 30th International Conference of the Chilean Computer Science Society, 2011

Self-Adaptive Fuzzy QoS-Driven Web Service Discovery.
Proceedings of the IEEE International Conference on Services Computing, 2011

2009
A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting.
Proceedings of the Knowledge-Based and Intelligent Information and Engineering Systems, 2009

Fusion of Topology Preserving Neural Networks.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Multimodal Algorithm for Iris Recognition with Local Topological Descriptors.
Proceedings of the Progress in Pattern Recognition, 2009

2008
Self-Organizing Neuro-Fuzzy Inference System.
Proceedings of the Progress in Pattern Recognition, 2008

2007
A robust and flexible model of hierarchical self-organizing maps for non-stationary environments.
Neurocomputing, 2007

Fusion of Neural Gas.
Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Fusion of Self Organizing Maps.
Proceedings of the Computational and Ambient Intelligence, 2007

Fuzzy Spatial Growing for Glioblastoma Multiforme Segmentation on Brain Magnetic Resonance Imaging.
Proceedings of the Progress in Pattern Recognition, 2007

Robust Alternating AdaBoost.
Proceedings of the Progress in Pattern Recognition, 2007

A Mixed Data Clustering Algorithm to Identify Population Patterns of Cancer Mortality in Hijuelas-Chile.
Proceedings of the Artificial Intelligence in Medicine, 2007

2006
Robustness Analysis of the Neural Gas Learning Algorithm.
Proceedings of the Progress in Pattern Recognition, 2006

2005
K-Dynamical Self Organizing Maps.
Proceedings of the MICAI 2005: Advances in Artificial Intelligence, 2005

Robust Growing Hierarchical Self Organizing Map.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

A New Aspect for the Optimization of Fuzzy If-Then Rules.
Proceedings of the 35th IEEE International Symposium on Multiple-Valued Logic (ISMVL 2005), 2005

Flexible Architecture of Self Organizing Maps for Changing Environments.
Proceedings of the Progress in Pattern Recognition, 2005

2004
Robust Neural Gas for the Analysis of Data with Outliers.
Proceedings of the XXIV International Conference of the Chilean Computer Science Society (SCCC 2004), 2004

Robust Bootstrapping Neural Networks.
Proceedings of the MICAI 2004: Advances in Artificial Intelligence, 2004

Modular Neural Network Applied to Non-Stationary Time Series.
Proceedings of the Computational Intelligence, Theory and Applications, International Conference 8th Fuzzy Days, Dortmund, Germany, Sept. 29, 2004

Robust Self-organizing Maps.
Proceedings of the Progress in Pattern Recognition, 2004

2003
Robust Expectation Maximization Learning Algorithm for Mixture of Experts.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Robust Estimation of Confidence Interval in Neural Networks Applied to Time Series.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Robust Learning Algorithm for the Mixture of Experts.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

A Robust and Effective Learning Algorithm for Feedforward Neural Networks Based on the Influence Function.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Artificial neural networks in time series forecasting: a comparative analysis.
Kybernetika, 2002

Robust Estimator for the Learning Process in Neural Networks Applied in Time Series.
Proceedings of the Artificial Neural Networks, 2002

2001
Neural Model Identification Using Local Robustness Analysis.
Proceedings of the Computational Intelligence, 2001


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