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Machine Learning

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 […]

Posted on 2020-12-182021-01-06 by Paulo Maia
Posted in AI4tech, Machine Learning

Explainable AI in Healthcare

Transparency is of utmost importance when AI is applied to high stake decision problems where additional information on the underlying process beyond the output of the model may be required. […]

Posted on 2020-11-242020-11-28 by Pedro Dias
Posted in AI, Computer Vision, data science, Healthcare, Machine Learning

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, […]

Posted on 2020-08-182020-08-19 by Francisca Morgado
Posted in AI, AI4tech, data science, Machine Learning, NILG.AI, social good2 Comments

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 […]

Posted on 2020-07-132020-07-27 by Tiago Freitas
Posted in AI4tech, data science, Machine Learning

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 […]

Posted on 2020-06-192020-06-22 by Kelwin Fernandes
Posted in AI4business, AI4tech, consulting, data science, Machine Learning

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 […]

Posted on 2020-04-062020-04-09 by Paulo Maia
Posted in AI4tech, Machine Learning, Marketing, Telecommunications1 Comment

Appendix: Embedding Domain Knowledge for Estimating Customer Lifetime Value

This is an appendix to a blogpost previously published on Embedding Domain Knowledge for Estimating Customer Lifetime Value. We will describe some alternatives we considered for solving the proposed problem, […]

Posted on 2020-04-062021-01-06 by Paulo Maia
Posted in AI4tech, Machine Learning, Marketing, Telecommunications

Objectively Estimating Data Quality: A Weakly Supervised Approach

  In Artificial Intelligence, it is important to have some measure of the quality of the data we are trying to use. For instance, if we want to classify a […]

Posted on 2020-02-272020-03-03 by Paulo Maia
Posted in AI4tech, Machine Learning
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