Facultad de Ciencias Físicas y Matemáticas

Subject: Ciencias de la Información y Computación

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Replication Data for: Impact of an affirmative action on female CS/SE undergraduate enrollment Oct 14, 2020 Simmonds, Jocelyn, 2020, "Replication Data for: Impact of an affirmative action on female CS/SE undergraduate enrollment", https://doi.org/10.34691/FK2/SQGMND, Universidad de Chile, V1 Yearly enrollment data for the CS/SE program at the FCFM
Replicar los datos para: Detecting Rocks in Challenging Mining Environments using Convolutional Neural Networks and Ellipses as an alternative to Bounding Boxes Dec 29, 2021 Loncomilla, Patricio;Samtani, Pavan;Ruiz-del-Solar, Javier, 2021, "Replicar los datos para: Detecting Rocks in Challenging Mining Environments using Convolutional Neural Networks and Ellipses as an alternative to Bounding Boxes", https://doi.org/10.34691/FK2/1GQBHK, Repositorio de datos de investigación de la Universidad de Chile, V1 The automation of heavy-duty machinery and vehicles used in underground mines is a growing tendency which requires addressing several challenges, such as the robust detection of rocks in the production areas of mines. For instance, human assistance must be requested when using au...

Replication Data for: Impact of an affirmative action on female CS/SE undergraduate enrollment

Oct 14, 2020

Simmonds, Jocelyn, 2020, "Replication Data for: Impact of an affirmative action on female CS/SE undergraduate enrollment", https://doi.org/10.34691/FK2/SQGMND, Universidad de Chile, V1

Yearly enrollment data for the CS/SE program at the FCFM

Replicar los datos para: Detecting Rocks in Challenging Mining Environments using Convolutional Neural Networks and Ellipses as an alternative to Bounding Boxes

Dec 29, 2021

Loncomilla, Patricio;Samtani, Pavan;Ruiz-del-Solar, Javier, 2021, "Replicar los datos para: Detecting Rocks in Challenging Mining Environments using Convolutional Neural Networks and Ellipses as an alternative to Bounding Boxes", https://doi.org/10.34691/FK2/1GQBHK, Repositorio de datos de investigación de la Universidad de Chile, V1

The automation of heavy-duty machinery and vehicles used in underground mines is a growing tendency which requires addressing several challenges, such as the robust detection of rocks in the production areas of mines. For instance, human assistance must be requested when using au...