Author: Francisca Morgado
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 […]
Written by Francisca Morgado on Aug 2, 2023
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 […]
Written by Francisca Morgado on Apr 10, 2023
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 […]
Written by Francisca Morgado on Nov 14, 2022
“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 […]
Written by Francisca Morgado on Feb 23, 2022
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 […]
Written by Francisca Morgado on Aug 2, 2021
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 […]
Written by Francisca Morgado on Jun 1, 2021
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 […]
Written by Francisca Morgado on Feb 17, 2021
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 Francisca Morgado on Aug 18, 2020
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 Francisca Morgado on Apr 24, 2020