• Team / 
  • Francisca Morgado
Francisca Morgado

Francisca Morgado

  • Data Scientist

Solving AI-based problems as brain teasers is one of my favorite tasks, from problem formulation to solution implementation. Tell me about the next goal for your business, and let’s discuss strategies to achieve it.

  • Knowledge
  • Technical
  • Languages
  • English
  • Portuguese
  • Consultants
Book a Meeting

Industries

  • Automotive & Transportation
  • Food and Beverages
  • Healthcare
  • Telco

Areas of Expertise

  • Computer Vision
  • Deep Learning
  • Machine Learning
  • Multimodal Machine Learning
  • Self-Supervised Learning

Education

  • Universidade do Porto MSc in Bioengineering (Biomedical Engineering) 2014 - 2019

Interests & Hobbies

  • Nature enthusiast. I love exploring rails and seeing new landscapes.
  • I’m passionate about music but have no talent to play it.
  • Curious about Cultures and Human History.

Articles by Francisca

Article
Spatial Explanations: Unlocking Insights with Occlusions

Aug 2, 2023 in Machine Learning

Spatial Explanations with Occlusions: In computer vision, businesses must grasp the workings of image models to fully leverage visual data. Our simple method called spatial explanations with occlusions, helps achieve a deeper understanding. By employing spatial occlusions across images, this technique unveils critical areas that significantly influence the model’s predictions.” What to do with these […]

Read More
unlock poor models
Article
In medio stat virtus? Not always!

Apr 10, 2023 in Technical

The Problem What do you do when the model is underperforming? When the models’ performance does not meet our expectations, we usually spend time searching for the flaws, selecting and analyzing the cases where it failed to understand why it happened. Then, we try to apply more robust solutions, train, test, and repeat. In some […]

Read More
Article
Stop removing outliers just because!

Nov 14, 2022 in Technical

Outliers are data points that stand out for being different from the remaining data distribution. An outlier can be: An odd value in a feature A data point distant from the centroid of the data A data point in a region of low density, but between areas of high density. Suppose you have been working […]

Read More
Article
Teaching Models With Free Data

Feb 23, 2022 in Technical

“The more I see, the less I know” might be a saying, but it does not apply to AI models. It’s well known that the performance of an artificial neural network is highly dependent on the volume and on the diversity of the data that was shown to the model. This happens because exposing the […]

Read More
Article
You Have the Right to Remain Silent

Aug 2, 2021 in Technical

The Miranda warning prevents us from self-incrimination. You have the right to remain silent. Anything you say will be used against you. If we hold ML models accountable for their predictions, shouldn’t we at least grant them that right? Can we expect ML models to know everything? I guess we don’t! Moreover, it would be […]

Read More
Article
Speeding up Science: AI tools for Pharma

Jun 1, 2021 in Industry Overview

At NILG.AI, our motto is “Unlocking business capabilities using Data Intelligence”, since we see Artificial Intelligence as a powerful tool designed to maximize the potential of human activity. A lot of fields have been taking advantage of the AI revolution creating more efficient systems able to get more accurate results while saving time and operation […]

Read More
Article
Embedding Domain Knowledge

Feb 17, 2021 in Technical

In the good old days, working as a Machine Learning Engineer meant working 95% of the time on feature engineering and 5% on training models with the extracted features. This was a manually intensive and time-consuming process, that usually led to inflexible proofs of concept that could hardly be adapted to new settings. Fortunately, Deep […]

Read More
A balance between two unbalanced options, representing the potential imbalance an AI algorithm generates
Article
Fairness in AI

Aug 18, 2020 in Webinar

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 […]

Read More
Article
Thermal Imaging in AI

Apr 24, 2020 in Industry Overview

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 […]

Read More
Browse Articles

Similar Team Members

Are you looking for a different profile? Explore other team members.

Rafael Cavalheiro
Rafael Cavalheiro

Data Scientist

Pedro Serrano
Pedro Serrano

Data Scientist