Mikhail Kamalov is a Ph.D. student with INRIA. We interviewed him for the first time when he published his first scientific paper about semi-supervised learning for document classification last November.

Another one of his articles is accepted for publication this May at a prestigious conference: EUSIPCO. We want to learn more about this article and, in particular about his novel use of evolutionary algorithms for classification.

Hi Mikhail, nice seeing you again. Congratulations on your paper being accepted for EUSIPCO.

Thanks. We’re happy about it.

Was it easier this time than for the first article to get a paper accepted?

Let’s start with a few figures:

  • AI can increase business productivity by 40%.
  • Already 77% of the devices we use feature one form of AI or another.
  • AI-powered voice assistants to reach 8 billion by 2023.

Yet, some estimate that artificial intelligence is just another buzzword and that AI, like many trends before, will quickly vanish again. It is time to explain why artificial intelligence AI is much more than just short-term hype. Let’s take a closer glimpse at the topic.

In 1997, the Deep Blue system, developed by IBM, succeeded in defeating the multiple chess world champion Garri Kimowitsch…

  • A cancer researcher has data about the genotype of 90 patients and wants to understand who might develop cancer.
  • A marketing manager has gathered Data on about 20 000 customers, among which 100 have churned.

These are examples of small datasets with no known data distribution available to professionals. Do the use of small data sets without a known data distribution mean no possibility to use Machine Learning?

At MyDataModels, we have designed a Machine Learning Platform, TADA. It can be used by anybody and performs well on small data sets without a known data distribution. …

Human beings once had a queue like dogs and cats. This trait has disappeared over time. Nowadays, it survives as a slightly more prominent bone at the bottom of the spine for some of us.

17% of the world population has blue eyes. In occidental countries, between 10 and 15% of people are dominantly left-handed.

All of these are genetic characteristics that result from years of biological evolutions.

Natural Selection

According to Darwin, all species arise and develop through a selective process. It is the natural selection of small, inherited variations that increase the individual’s ability to compete, survive, and reproduce. …

  • A marketing manager for an e-business wants to reduce his churn.
  • A meteorologist wants to know when the next pollution peak will happen.
  • A cancer researcher wants to find out which genes out of a pool of 53 000 are critical in discriminating the risk of uterus cancer in a woman.

What do they have in common? They do different jobs in different industries.

Yet, they all gather data from their daily activities. And they all store them in spreadsheets. Whether it is excel based or tableau based.

And they need to extract meaningful insights from their data. The marketing…

After we gave up hope on a family member aged forty who had, to our knowledge (which might not be exhaustive), been single for most of his life, he introduced us to his new girlfriend. A match made in heaven. They had met online. One year later, they were pregnant with a baby girl. Add one more year, and they were happily married. Another year and they were moving into their apartment in the center of Paris.

I believed this was a rare case of good matchmaking through an online website. And I discovered (fifteen years into their wedding and…

I have recently noticed a strong correlation between men growing beards and men working in startups. I cannot think of a single startup where no bearded person is working. And it makes me wonder: how come? Why would someone who works in a startup grow a beard?

Therefore I investigated. Is there any correlation (proven or imaginary) between beards and success? After all, it makes sense. What is the goal of a startup employee? …

Sorting algorithms are to Machine Learning what the sorting hat is to students in the Harry Potter series: a way to assign each individual to a class (or a house). In Harry Potter, there were four different houses: Gryffindor, Slytherin, Ravenclaw, and Hufflepuff. The magical sorting hat assigns every first-year student into one of the four houses. The sorting hat ‘classifies’ the students into four different categories.

We have previously discussed binary classification. When the number of classes exceeds two, the terminology used is ‘multiclass’ classification.

We explained the various metrics used in binary classification, namely: the confusion matrix, Accuracy…

Can Machine Learning predict the size of a person based on his/her age and weight? Can Machine Learning compute the price of a house based on its surface, location, and number of rooms? Can Machine Learning determine the revenue of a company based on its marketing budget? These are all typical examples of regression problems.

Metrics for Regression Algorithms

Last time we wrote about binary classification and the corresponding Machine Learning Metrics. We explained that Binary Classification consists of assigning an individual to one of two classes. An illustration is a medical diagnosis for COVID-19 infection. A person is either infected or not.


Artificial Intelligence applied to COVID, i.e., COVID AI, is key to fighting the deadly virus. Over the past ten months, the virus has taken more lives than H.I.V., malaria, influenza, and cholera over the same period. And the COVID-19 pandemic continues to propagate around the globe.

Fighting deaths: entering Clinical Trials

Since outbreaks started at the end of 2019, the coronavirus has ripped through country after country. According to Johns Hopkins University data, it has been sickening more than 34 million people worldwide and caused over 1.13 million mortality. A severe toll gathered from official counts, yet one that notably underestimates how many have really…


The Augmented Analytics for Every Professional : www.mydatamodels.com

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