About the event

We are excited to come together in person for an engaging and insightful session on innovative strategies to enrich uncommon datasets using data augmentation techniques on synthetic images. Don't miss the chance to connect, learn, and enjoy a great time!

Speaker bio:

Mauricio Repetto is a Systems Engineer with a postgraduate degree in Big Data Analytics, a postgraduate degree in Artificial Intelligence, and a master's degree in Big Data. Currently, he is a Machine Learning Engineer at Nearsure with extensive experience developing business intelligence solutions for companies in South America and the US. Recently, he has led several projects in Artificial Intelligence, specializing in areas such as computer vision, natural language processing, and audio processing.

About the event session:

Learn how these practices can enhance the robustness and performance of your models, particularly in demanding scenarios. This is a not-to-be-missed opportunity to expand your knowledge and elevate your projects to the next level!

Key insights to be covered:

• The motivation behind our developed work (thesis).
• The objectives we aim to achieve.
• The datasets used in our experiments.
• The working pipeline we follow for thesis development.
• The results and conclusions we have drawn.