Author: Paulo Maia

A balance between two unbalanced options, representing the potential imbalance an AI algorithm generates

Fairness in AI

In collaboration with Data Science for Social Good Portugal, we are excited to announce a groundbreaking series of webinars focusing on AI topics that intersect with the greater social good. Our recent webinar, the second installment in this series, took place on the 29th of July and featured an insightful presentation by Francisca Morgado. She […]

Written by on Aug 18, 2020

Applying geospatial data for Machine Learning, with a focus on social good

In partnership with Data Science for Social Good Portugal, we are launching a series of webinars in AI topics related to social good. The first talk was by Paulo Maia, on the 28th of June, with the topic “Applying geospatial data for Machine Learning, with a focus on social good”. In case you weren’t able […]

Written by on Jul 16, 2020

Detecting Errors in Insurance Claims

Insurance codes are used by people’s health plan to make decisions about how much your doctor and other healthcare providers should be paid.  There is some variety of coding systems currently used [1]: Current Procedural Terminology (CPT) codes, used by physicians to describe the services they provide. Healthcare Common Procedure Coding System (HCPCS),  used by […]

Written by on May 5, 2020

Thermal Imaging in AI

Artificial Intelligence (AI) is one of the current hottest issues, intersecting many fields of interest. With the dissemination of this concept, the expectations about its potential grew a lot among the society. Some people look at AI as a set of mechanisms that can improve people’s intelligence, increasing the human activities performance, others look at […]

Written by on Apr 24, 2020

Embedding Domain Knowledge for Estimating Customer Lifetime Value

As part of the rise of Deep Neural Networks in the ML community, we have observed an increasing fit-predict approach, where AI practitioners don’t take the time to think about the domain knowledge that is already available and how to embed that knowledge in the models. In this blogpost, we will cover how we created […]

Written by on Apr 6, 2020

Appendix: Embedding Domain Knowledge for Estimating Customer Lifetime Value

This is an appendix to the blog post Embedding Domain Knowledge for Estimating Customer Lifetime Value. We will describe some alternatives we considered for solving the proposed problem, but did not end up being implemented. First, let’s assume we have a pre-trained model for estimating the probability of the target and . Estimating Lifetime Value using […]

Written by on Apr 6, 2020

Objectively Estimating Data Quality

In Artificial Intelligence, it is important to measure the quality of the data we are trying to use. For instance, if we want to classify a cervix image according to the degree of cancer, how do we know if that image follows the acquisition protocol and can be used for diagnosing the patient [1] so […]

Written by on Feb 27, 2020