All Stories

  1. Beyond binary classification: a pilot study of imaging-derived glioma severity modeling using T1-weighted and diffusion MRI radiomics
  2. PINN-ing the Balloon: A Physically Informed Neural Network Modelling the Nonlinear Haemodynamic Response Function in Functional Magnetic Resonance Imaging
  3. TWEEF: Trustworthiness Estimation and Enhancement Framework for Machine Learning Models
  4. Assessing AI-Based System Acceptance Through the Design of a Trustworthiness Estimation Tool for Machine Learning Models
  5. Interpretable machine learning model for characterizing magnetic susceptibility-based biomarkers in first episode psychosis
  6. Design, 3D printing, and preclinical validation of an extraglottic ramp to facilitate blind orotracheal intubation in emergency airway management
  7. AI Applied to Cardiac Magnetic Resonance for Precision Medicine in Coronary Artery Disease: A Systematic Review
  8. Partial Least Squares models under skew-normal and skew-t settings with applications
  9. Physics-Informed Neural Network for Modeling the Pulmonary Artery Blood Pressure from Magnetic Resonance Images: A Reduced-Order Navier–Stokes Model
  10. An Explainable Fuzzy Framework for Assessing Preeclampsia Classification
  11. Long Short‐Term Memory Wavelet Neural Network for Renewable Energy Generation Forecasting
  12. Hybrid framework for automated generation of mammography radiology reports
  13. Evaluating the Influence of Physical Activity on Gait Aging Using Multilevel Machine Learning
  14. Air Quality Prediction Based on Singular Spectrum Analysis and Artificial Neural Networks
  15. Hemodynamic response function description in patients with glioma
  16. A Flat-Hierarchical Approach Based on Machine Learning Model for e-Commerce Product Classification
  17. Benchmarking YOLO Models for Intracranial Hemorrhage Detection Using Varied CT Data Sources
  18. Explainable Machine Learning Techniques to Predict Muscle Injuries in Professional Soccer Players through Biomechanical Analysis
  19. Optimal dietary calcium intake in pregnancy is associated only with women with excessive gestational weight gain
  20. A Deep Learning Classifier Using Sliding Patches For Detection of Mammographical Findings
  21. Self-Organizing Topological Multilayer Perceptron: A Hybrid Method to Improve the Forecasting of Extreme Pollution Values
  22. Predicting the Long-Term Dependencies in Time Series Using Recurrent Artificial Neural Networks
  23. Explainability of Machine Learning Models for Hydrological Time Series Forecasting: The Case of Neuro-Fuzzy Approaches
  24. A named entity recognition framework using transformers to identify relevant clinical findings from mammographic radiological reports
  25. Automatic segmentation of brain tumor in multi-contrast magnetic resonance using deep neural network
  26. Movements acquisition based on the Archimedean spiral test using leap motion controller
  27. VENTSEG: efficient open source framework for ventricular segmentation
  28. Predicting Cardiovascular Rehabilitation of Patients with Coronary Artery Disease Using Transfer Feature Learning
  29. Detection of variables for the diagnosis of overweight and obesity in young Chileans using machine learning techniques.
  30. Visual-Predictive Data Analysis Approach for the Academic Performance of Students from a Peruvian University
  31. Femicide and Attempted Femicide before and during the COVID-19 Pandemic in Chile
  32. Temporal differences in the myoelectric activity of lower limb muscles during rearfoot and forefoot running: A statistical parametric mapping approach
  33. A stacking neuro-fuzzy framework to forecast runoff from distributed meteorological stations
  34. Identification of hemodynamic biomarkers for bicuspid aortic valve induced aortic dilation using machine learning
  35. An Efficient Multi-Level Convolutional Neural Network Approach for White Blood Cells Classification
  36. Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
  37. Image Quality Assessment to Emulate Experts’ Perception in Lumbar MRI Using Machine Learning
  38. A Spatio-Temporal Visualization Approach of PM10 Concentration Data in Metropolitan Lima
  39. Prediction of intensity and location of seismic events using deep learning
  40. Wavelet-based semblance analysis to determine muscle synergy for different handstand postures of Chilean circus athletes
  41. A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score
  42. Evaluating the Performance of Explainable Machine Learning Models in Traffic Accidents Prediction in California
  43. Framework to prioritize digital transformation initiatives based on the country's development impact
  44. 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)
  45. Fuzzy General Linear Modeling for Functional Magnetic Resonance Imaging Analysis
  46. A Dynamic Linguistic Decision Making Approach for a Cryptocurrency Investment Scenario
  47. Characterization of the Chilean Public Procurement Ecosystem Using Social Network Analysis
  48. Impact of <i>b</i>-Value Sampling Scheme on Brain IVIM Parameter Estimation in Healthy Subjects
  49. Polynomial and Wavelet-Type Transfer Function Models to Improve Fisheries’ Landing Forecasting with Exogenous Variables
  50. Self-Improving Generative Artificial Neural Network for Pseudorehearsal Incremental Class Learning
  51. Assessing Seismic Hazard in Chile Using Deep Neural Networks
  52. Wavelet-Based Semblance Methods to Enhance the Single-Trial Detection of Event-Related Potentials for a BCI Spelling System
  53. Self-Improving Generative Artificial Neural Network for Pseudo-Rehearsal Incremental Class Learning
  54. A Computational Fractional Signal Derivative Method
  55. An architecture based on computing with words to support runtime reconfiguration decisions of service-based systems
  56. Identifying ecosystem patterns from time series of anchovy (Engraulis ringens) and sardine (Sardinops sagax) landings in northern Chile
  57. Pseudorehearsal Approach for Incremental Learning of Deep Convolutional Neural Networks
  58. SONFIS: Structure Identification and Modeling with a Self-Organizing Neuro-Fuzzy Inference System
  59. Improving the Weighted Distribution Estimation for AdaBoost Using a Novel Concurrent Approach
  60. Identification of Lags in Nonlinear Autoregressive Time Series Using a Flexible Fuzzy Model
  61. Decentralized Strategy for Supporting Multi-agent Negotiation of Several Aspects of Different Products
  62. VirtualMarket: Extending Chilecompra with Agent Capabilities for Identifying Providers Associativity Opportunities and Negotiate Alliance Participation
  63. Time-Based Hesitant Fuzzy Information Aggregation Approach for Decision-Making Problems
  64. SIFAR: Self-Identification of Lags of an Autoregressive TSK-based Model
  65. Quantitative description of the morphology and ossification center in the axial skeleton of 20‐week gestation formalin‐fixed human fetuses using magnetic resonance images
  66. Análisis cuantitativo de variables hemodinámicas de la aorta obtenidas de 4D flow
  67. Zernike's Feature Descriptors for Iris Recognition with SVM
  68. Self-Adaptive Fuzzy QoS-Driven Web Service Discovery
  69. Machine fusion to enhance the topology preservation of vector quantization artificial neural networks
  70. A Flexible Neuro-Fuzzy Autoregressive Technique for Non-linear Time Series Forecasting
  71. Fusion of Topology Preserving Neural Networks
  72. Multimodal Algorithm for Iris Recognition with Local Topological Descriptors
  73. Self-Organizing Neuro-Fuzzy Inference System
  74. A robust and flexible model of hierarchical self-organizing maps for non-stationary environments
  75. Flexible Architecture of Self Organizing Maps for Changing Environments
  76. K-Dynamical Self Organizing Maps
  77. Modular Neural Network Applied to Non-Stationary Time Series
  78. Robust Neural Gas for the Analysis of Data with Outliers