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José Luis Jara Valencia

Profesor Asociado

Universidad de Santiago de Chile

Santiago, Chile

Pattern Recognition, Learning Analytics, Educational Software, Cerebral Haemodynamics Modeling

Ciencias de la Ingeniería, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 1995
Ingeniero Civil en Informática, UNIVERSIDAD DE CHILE. Chile, 1997
Ingeniería Informática, UNIVERSIDAD DE CHILE. Chile, 1997
Computer Science , UNIVERSITY OF YORK. Reino Unido, 2006

Académico Full Time

UNIVERSIDAD DE SANTIAGO DE CHILE

Facultad de Ingeniería

Santiago, Chile

1997 - At present


Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy Fernandez-Munoz, Juan; Haunton, Victoria J.; Panerai, Ronney B.; Jara, Jose Luis Article ISI ENTROPY (2024)
Exploring Physiological Differences in Brain Areas Using Statistical Complexity Analysis of BOLD Signals Morales-Rojas, Catalina; Panerai, Ronney B.; Jara, Jose Luis Article ISI ENTROPY (2024)
Individual Patient Data Meta-Analysis of Dynamic Cerebral Autoregulation and Functional Outcome After Ischemic Stroke Beishon, Lucy; Vasilopoulos, Terrie; Salinet, Angela S. M.; Levis, Brooke; Barnes, Samuel; Hills, Eleanor; Ramesh, Pranav; Gkargkoula, Panagoula; Minhas, Jatinder S.; Castro, Pedro; et al. Article ISI SCOPUS STROKE (2024)
Predicting Students' Outcome in an Introductory Programming Course: Leveraging the Student Background Köhler, Jacqueline; Hidalgo, Luciano; Jara, Jose Luis Article ISI APPLIED SCIENCES-BASEL (2023)
Analysis of BOLD Signals from Different Brain Regions in Healthy People and Stroke Patients Using Wavelet Entropy Pereira, Nicolás Gutiérrez; Panerai, Ronney B.; Jara, Jose Luis Article SCOPUS 2018 37TH INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY (SCCC) (2022)
Using machine learning techniques to predict academic success in an introductory programming course Köhler, Jacqueline; Hidalgo, Luciano; Jara, Jose Luis Article SCOPUS 2018 37TH INTERNATIONAL CONFERENCE OF THE CHILEAN COMPUTER SCIENCE SOCIETY (SCCC) (2022)
Analysis of cerebral blood flow entropy while listening to music with emotional content Cavieres, Ruben; Landerretche, Jean Article ISI PHYSIOLOGICAL MEASUREMENT (2021)
Using complexity-entropy planes to detect Parkinson's disease from short segments of haemodynamic signals Jara, J. L.; Morales-Rojas, Catalina; Fernandez-Munoz, Juan; Haunton, Victoria J. Article ISI PHYSIOLOGICAL MEASUREMENT (2021)
Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability? Elting J.W.; Caicedo A.; Jara, J. L. Article SCOPUS PLOS ONE (2020)
Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability Caicedo A.; Jara, J. L. Article ISI SCOPUS FRONTIERS IN PHYSIOLOGY (2019)
Comparing models of spontaneous variations, maneuvers and indexes to assess dynamic cerebral autoregulation Noh S.-H.; Jara, J. L. Article SCOPUS Acta Neurochirurgica, Supplementum (2018)
Increasing the contrast-to-noise ratio of MRI signals for regional assessment of dynamic cerebral autoregulation Jara, J. L. Article SCOPUS Acta Neurochirurgica, Supplementum (2018)
Non-linear models for the detection of impaired cerebral blood flow autoregulation Chacon, Max; Luis Jara, Jose; Miranda, Rodrigo Article ISI SCOPUS PLOS ONE (2018)
Reproducibility of dynamic cerebral autoregulation parameters: A multi-centre, multi-method study Sanders M.L.; Claassen J.A.H.R.; Aries M.; Bor-Seng-Shu E.; Caicedo A.; Chacon M.; Gommer E.D.; Van Huffel S.; Jara, J. L.; Kostoglou K.; et al. Article ISI SCOPUS Physiological Measurement (2018)
Dynamic cerebral autoregulation following acute ischaemic stroke: Comparison of transcranial Doppler and magnetic resonance imaging techniques Article ISI SCOPUS JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM (2016)
A New Model-Free Index of Dynamic Cerebral Blood Flow Autoregulation Chacón, Max; Jara, JL; Panerai, Ronney B. Article PLOS ONE (2014)
Regional Differences in Dynamic Cerebral Autoregulation in the Healthy Brain Assessed by Magnetic Resonance Imaging Horsfield, Mark A; Jara, JL; Saeed, Nazia P; Panerai, Ronney B; Robinson, Thompson G Article PLOS ONE (2013)
Empirical evaluation of three machine learning method for automatic classification of neoplastic diagnoses Jara, Jose Luis; Chacon, Max; Zelaya, Gonzalo Article SCIELO INGENIARE. REVISTA CHILENA DE INGENIERIA (2011)
Crisp Classifiers vs. Fuzzy Classifiers=> A Statistical Study Jara, JL; Acevedo-Crespo, Rodrigo Article Lecture Notes in Computer Science (2009)


Comparison of autoregulatory indexes on spontaneous variations with linear support vector machines Chacon M.; Bello, F.; Jara, J.; Panerai R. Abstract ISI FASEB JOURNAL (2014)
The effect of different body positions on the assessment of dynamic cerebral autoregulation Jara, J.; Chacon M. Abstract ISI FASEB JOURNAL (2014)


Analysis of the Influence of Systemic and Intracranial Pressure in Patients with Severe Head Injury Using Linear and Non-linear Models Chacon M.; Jara, J. L.; Varas, N. ConferencePaper ISI SCOPUS XIV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING 2016 (2015)


Estudio de técnicas de aprendizaje automático para la clasificación de diagnósticos médicos asistida por computador DICYT USACH (06-0719JV) Proyecto 2007-2008 Inv. Principal
Clasificación automática de diagnósticos médicos y su aplicación a la estimación del riesgo previo DICYT USACH (06-0619JV) Proyecto 2006-2006 Inv. Principal

Max Chacón

Profesor Titular

Ingeniería Informática

UNIVERSIDAD DE SANTIAGO DE CHILE

Santiago, Chile

José Jara

Profesor Asociado

Departamento de Ingeniería Informática

Universidad de Santiago de Chile

Santiago, Chile

Felipe Bello

Profesor Asistente

Departamento de Ingenierías Multidisciplinares

Universidad de Santiago de Chile

Santiago, Chile

José Luis Jara Valencia

Líneas de Investigación

Educación

Ciencias de la Ingeniería, UNIVERSIDAD DE SANTIAGO DE CHILE. Chile, 1995

Ingeniero Civil en Informática, UNIVERSIDAD DE CHILE. Chile, 1997

Ingeniería Informática, UNIVERSIDAD DE CHILE. Chile, 1997

Computer Science , UNIVERSITY OF YORK. Reino Unido, 2006

Experiencia Académica

Académico Full Time

Article (19)

Detection of Blood CO<sub>2</sub> Influences on Cerebral Hemodynamics Using Transfer Entropy

Exploring Physiological Differences in Brain Areas Using Statistical Complexity Analysis of BOLD Signals

Individual Patient Data Meta-Analysis of Dynamic Cerebral Autoregulation and Functional Outcome After Ischemic Stroke

Predicting Students' Outcome in an Introductory Programming Course: Leveraging the Student Background

Analysis of BOLD Signals from Different Brain Regions in Healthy People and Stroke Patients Using Wavelet Entropy

Using machine learning techniques to predict academic success in an introductory programming course

Analysis of cerebral blood flow entropy while listening to music with emotional content

Using complexity-entropy planes to detect Parkinson's disease from short segments of haemodynamic signals

Assessment of dynamic cerebral autoregulation in humans: Is reproducibility dependent on blood pressure variability?

Dynamic Cerebral Autoregulation Reproducibility Is Affected by Physiological Variability

Comparing models of spontaneous variations, maneuvers and indexes to assess dynamic cerebral autoregulation

Increasing the contrast-to-noise ratio of MRI signals for regional assessment of dynamic cerebral autoregulation

Non-linear models for the detection of impaired cerebral blood flow autoregulation

Reproducibility of dynamic cerebral autoregulation parameters: A multi-centre, multi-method study

Dynamic cerebral autoregulation following acute ischaemic stroke: Comparison of transcranial Doppler and magnetic resonance imaging techniques

A New Model-Free Index of Dynamic Cerebral Blood Flow Autoregulation

Regional Differences in Dynamic Cerebral Autoregulation in the Healthy Brain Assessed by Magnetic Resonance Imaging

Empirical evaluation of three machine learning method for automatic classification of neoplastic diagnoses

Crisp Classifiers vs. Fuzzy Classifiers=> A Statistical Study

Abstract (2)

Comparison of autoregulatory indexes on spontaneous variations with linear support vector machines

The effect of different body positions on the assessment of dynamic cerebral autoregulation

ConferencePaper (1)

Analysis of the Influence of Systemic and Intracranial Pressure in Patients with Severe Head Injury Using Linear and Non-linear Models

Proyecto (2)

Estudio de técnicas de aprendizaje automático para la clasificación de diagnósticos médicos asistida por computador

Clasificación automática de diagnósticos médicos y su aplicación a la estimación del riesgo previo

Max Chacón

José Jara

Felipe Bello