Carolina Chang’s biography, net worth, fact, career, awards and life story

Intro Venezuelan scientist
Is Scientist 
From Venezuela 
Type Science 
Gender female

Carolina Chang es una científica en computación venezolana, experta en inteligencia artificial y aprendizaje de máquinas. Actualmente es profesora asociada en el Departamento de Computación y Tecnología de la Información en la Universidad Simón Bolívar de Caracas. Desde 1999 es miembro del Grupo de Inteligencia Artificial de la universidad.

Premios y reconocimientos

  • En el 2014 es galardonada con el Premio Anual de la Universidad Simón Bolívar por su sobresaliente labor académica durante el período 2012–2013.​

Publicaciones

  • A*mbush family: A* Variations for Ambush Behavior And Path Diversity Generation. (2012)
  • Teeth/Palate and Interdental Segmentation Using Artificial Neural Networks. (2012)
  • Estimación de la susceptibilidad a deslizamientos en masa usando redes neuronales basados en el modelo FALCON-ART. (2012)
  • Real-time video smoothing for small RC helicopters. (2009)
  • Two Algorithms for Measuring Human Breathing Rate Automatically. (2009)
  • Towards Robot-Assisted Mass-Casualty Triage. (2007)
  • Using sensor habituation in mobile robots to reduce oscillatory movements in narrow corridors. (2005)
  • A method to detect victims in search and rescue operations using template matching. (2005)
  • An Approach to Vision-Based Person Detection in Robotic Applications. (2005)
  • Second-Order Conditioning in Mobile Robots. (2002)
  • Sequence Learning in Mobile Robots using Avalanche Neural Networks. (2001)
  • Combining associative learning and nonassociative learning to achieve robust reactive navigation in mobile robots. (2000)
  • Improving Hallway Navigation in Mobile Robots with Sensor Habituation. (2000)
  • Learning, Vision and Sonar Recognition with Mobile Robots. (1999)
  • Application of biological learning theories to mobile robot avoidance and approach behaviors. (1998)
  • Parameter estimation in superposition of decaying exponentials. (1998)
  • A neural network model of avoidance and approach behaviors for mobile robots. (1997)
  • Neural competitive maps for reactive and adaptive navigation. (1997)
  • A model of operant conditioning for adaptive obstacle avoidance. (1996)

Referencias

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