4 citations · 4 across the 2 of their papers we have counts for
2 papers
q-fin.GN2020
Developing a real estate yield investment deviceusing granular data and machine learning
Monica Azqueta-Gavaldon, Gonzalo Azqueta-Gavaldon, Inigo Azqueta-Gavaldon +1
This project aims at creating an investment device to help investors determine which real estate units have a higher return to investment in Madrid. To do so, we gather data from I…
cs.CV2020★ 4 cited
Segmentation of Surgical Instruments for Minimally-Invasive Robot-Assisted Procedures Using Generative Deep Neural Networks
Iñigo Azqueta-Gavaldon, Florian Fröhlich, Klaus Strobl +1
This work proves that semantic segmentation on minimally invasive surgical instruments can be improved by using training data that has been augmented through domain adaptation. The…