Multiple Instance Learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag, opposedly […]
Address validation for optimizing delivery success rate
In recent years, the e-commerce industry has been increasing significantly in several sectors like food, retailing and electronics. In the latter part of 2020, this increase has been even […]
Difficult Targets to Optimize: the ROC AUC
In many binary classification problems, especially in domains with highly unbalanced problems (such as the medical domain and rare event detection), we need to make sure our model does not […]
Fighting cervical cancer with Artificial Intelligence
In case you missed it. You may find below our talk on the Symposium on Bioengineering 2020 at FEUP. Also, we reply to some answers that we didn’t have time […]
Fairness in AI
In partnership with Data Science for Social Good Portugal, we are launching a series of webinars in AI topics related to social good. The second talk was by Francisca Morgado, […]
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, […]
Experiment Management and Reproducible Research
In this tutorial, we will discuss how can we achieve reproducible data pipelines and research while keeping track of the experiments that lead to production Machine Learning models. We will […]
Who is tampering your meters? Fraud detection in Utilities
Meter tampering is a common threat to the business side of the utility services as well as a public security threat, incurring in uncontrolled tweaks that may increase the risk […]
Detecting Errors in Insurance Claims
Introduction and Motivation 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 […]
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 […]