Tiago Freitas has a MSc in Biomedical Engineering at FEUP (2016). He did research in biomedical imaging and multimodal face recognition at INESC TEC (2015 - 2016) and worked as a freelancer for Computer Vision projects. From 2016 to 2019, he worked as a Computer Vision / Machine Learning Engineer at Adapttech where he helped to build a smart solution for lower-limb prosthetic fitting. He currently works as a Data Scientist @ NILG.AI, where he works with cervical medical image data. He is also part of the lead-team of Data Science for Social Good Portugal.
Tiago Freitas has a MSc in Biomedical Engineering at FEUP (2016). He did research in biomedical imaging and multimodal face recognition at INESC TEC (2015 - 2016) and worked as a freelancer for Computer Vision projects. From 2016 to 2019, he worked as a Computer Vision / Machine Learning Engineer at Adapttech where he helped to build a smart solution for lower-limb prosthetic fitting. He currently works as a Data Scientist @ NILG.AI, where he works with cervical medical image data. He is also part of the lead-team of Data Science for Social Good Portugal.
Palestra: How can we Learn from Small Datasets?
Como podemos abordar um problema com machine learning quando os dados escasseiam? Que abordagens e que cuidados devemos ter?