All Stories

  1. Interpretable machine learning model for characterizing magnetic susceptibility-based biomarkers in first episode psychosis
  2. Design, 3D printing, and preclinical validation of an extraglottic ramp to facilitate blind orotracheal intubation in emergency airway management
  3. AI Applied to Cardiac Magnetic Resonance for Precision Medicine in Coronary Artery Disease: A Systematic Review
  4. Partial Least Squares models under skew-normal and skew-t settings with applications
  5. Physics-Informed Neural Network for Modeling the Pulmonary Artery Blood Pressure from Magnetic Resonance Images: A Reduced-Order Navier–Stokes Model
  6. An Explainable Fuzzy Framework for Assessing Preeclampsia Classification
  7. Long Short‐Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting
  8. Hybrid framework for automated generation of mammography radiology reports
  9. Evaluating the Influence of Physical Activity on Gait Aging Using Multilevel Machine Learning
  10. Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks
  11. Hemodynamic response function description in patients with glioma
  12. A Flat-Hierarchical Approach Based on Machine Learning Model for e-Commerce Product Classification
  13. Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources
  14. Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis
  15. Optimal dietary calcium intake in pregnancy is associated only with women with excessive gestational weight gain
  16. A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings
  17. Self-Organizing Topological Multilayer Perceptron: A Hybrid Method to Improve the Forecasting of Extreme Pollution Values
  18. Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks
  19. Explainability of Machine Learning Models for Hydrological Time Series Forecasting: The Case of Neuro-Fuzzy Approaches
  20. A named entity recognition framework using transformers to identify relevant clinical findings from mammographic radiological reports
  21. Automatic segmentation of brain tumor in multi-contrast magnetic resonance using deep neural network
  22. Movements acquisition based on the Archimedean spiral test using leap motion controller
  23. VENTSEG: efficient open source framework for ventricular segmentation
  24. Predicting Cardiovascular Rehabilitation of Patients with Coronary Artery Disease Using Transfer Feature Learning
  25. Detection of variables for the diagnosis of overweight and obesity in young Chileans using machine learning techniques.
  26. Visual-Predictive Data Analysis Approach for the Academic Performance of Students from a Peruvian University
  27. Femicide and Attempted Femicide before and during the COVID-19 Pandemic in Chile
  28. Temporal differences in the myoelectric activity of lower limb muscles during rearfoot and forefoot running: A statistical parametric mapping approach
  29. A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations
  30. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning
  31. An Efficient Multi-Level Convolutional Neural Network Approach for White Blood Cells Classification
  32. Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
  33. Image Quality Assessment to Emulate Experts’ Perception in Lumbar MRI Using Machine Learning
  34. A Spatio-Temporal Visualization Approach of PM10 Concentration Data in Metropolitan Lima
  35. Prediction of intensity and location of seismic events using deep learning
  36. Wavelet-based semblance analysis to determine muscle synergy for different handstand postures of Chilean circus athletes
  37. A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score
  38. Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California
  39. Framework to prioritize digital transformation initiatives based on the country's development impact
  40. El impacto inicial con antepié incrementa la actividad muscular del gastrocnemios durante la carrera. Un estudio cuantitativo de actividad electromiográfica (The initial impact with forefoot increases the muscular activity of gastrocnemius during running)
  41. Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis
  42. A Dynamic Linguistic Decision Making Approach for a Cryptocurrency Investment Scenario
  43. Characterization of the Chilean Public Procurement Ecosystem Using Social Network Analysis
  44. Impact of <i>b</i>-Value Sampling Scheme on Brain IVIM Parameter Estimation in Healthy Subjects
  45. Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries’ Landing Forecasting with Exogenous Variables
  46. Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning
  47. Assessing Seismic Hazard in Chile Using Deep Neural Networks
  48. Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System
  49. Self-Improving Generative Artificial Neural Network for Pseudo-Rehearsal Incremental Class Learning
  50. A Computational Fractional Signal Derivative Method
  51. An architecture based on computing with words to support runtime reconfiguration decisions of service-based systems
  52. Identifying ecosystem patterns from time series of anchovy (Engraulis ringens) and sardine (Sardinops sagax) landings in northern Chile
  53. Pseudorehearsal Approach for Incremental Learning of Deep Convolutional Neural Networks
  54. SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System
  55. Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach
  56. Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model
  57. Decentralized Strategy for Supporting Multi-agent Negotiation of Several Aspects of Different Products
  58. VirtualMarket: Extending Chilecompra with Agent Capabilities for Identifying Providers Associativity Opportunities and Negotiate Alliance Participation
  59. Time-Based Hesitant Fuzzy Information Aggregation Approach for Decision-Making Problems
  60. SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model
  61. Quantitative description of the morphology and ossification center in the axial skeleton of 20‐week gestation formalin‐fixed human fetuses using magnetic resonance images
  62. Análisis cuantitativo de variables hemodinámicas de la aorta obtenidas de 4D flow
  63. Zernike's Feature Descriptors for Iris Recognition with SVM
  64. Self-Adaptive Fuzzy QoS-Driven Web Service Discovery
  65. Machine fusion to enhance the topology preservation of vector quantization artificial neural networks
  66. A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting
  67. Fusion of Topology Preserving Neural Networks
  68. Multimodal Algorithm for Iris Recognition with Local Topological Descriptors
  69. Self-Organizing Neuro-Fuzzy Inference System
  70. A robust and flexible model of hierarchical self-organizing maps for non-stationary environments
  71. Flexible Architecture of Self Organizing Maps for Changing Environments
  72. K-Dynamical Self Organizing Maps
  73. Modular Neural Network Applied to Non-Stationary Time Series
  74. Robust Neural Gas for the Analysis of Data with Outliers