Matías Roodschild

Researcher & PhD Candidate

Short Bio

Matías Roodschild received his degree in Systems Information Engineering at the Facultad Regional Tucumán, Universidad Tecnológica Nacional in 2012. He became a member of the GITIA in March 2015. Currently, he is a PhD candidate. His main research interests are Neural Networks and its applications.

Research Interests

  • Neural Networks
  • Aplications to Estimation and Classification problems

Research Activities

  • Researcher - Grupo de Investigación en Tecnologías Informáticas Avanzadas, Facultad Regional de Tucumán, Universidad Tecnológica Nacional, Argentina

Selected Publications


A new approach for the vanishing gradient problem on sigmoid activation.
By M. Roodschild, J. Gotay and A. Will.
In Progress in Artificial Intelligence, Oct. 2020.


Advances in the Classification of Pollen Grains Images Obtained from Honey Samples of Tetragonisca angustula in the Province of Chaco, Argentina.
By C. G. Vizgarra, M. Roodschild and J. Gotay.
In International Journal of Innovative Science and Research Technology - IJISRT, vol. 4, no., 6 Jun. 2019.

Optimización de Scaled Conjugate Gradient para Froog Neural Networks.
By M. Roodschild, J. Gotay, S. Rodriguez and A. Will.
In 48 JAIIO - Simposio Argentino de Inteligencia Artificial, pp. 116, 2019.


Optimización en la elaboración de redes neuronales artificiales adaptativas usando una metodologı́a de algoritmo de poda.
By L. O. Gonzalez Salcedo, J. Gotay, M. Roodschild, A. Will and S. Rodriguez.
In Revista Ingenio Magno, vol. 8, no., 1 45-56 2017.


Clasificación de Granos de Polen con Deep Learning y SVM.
By M. Roodschild, J. Gotay and A. Will.
In IV Congreso Nacional de Ingenierı́a en Informática/Sistemas de Información, 2016.

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