Overview
Machine Learning is a set of methods and techniques for constructing software systems automatically by analyzing only examples of the desired behaviour.
You do not write a program. You only provide examples of what you want. The program will be synthesized automatically.
In our lab we focus on engineering applications: have a look to our publications to know more about specific research topics.
The lab
The Machine Learning Lab is directed by prof. Alberto Bartoli, assisted by prof. Eric Medvet, and hosts PostDocs, PhD students and MS students: check the opportunities. Read also our blog to know more about lab life.
Recent news 
Lab paper "Detection of hidden fraudulent URLs..."
16-05-2013 –
Other great news: our work "Detection of Hidden Fraudulent URLs within
Trusted Sites using Lexical Features" has been accepted at a
prestigious security conference (ARES 2013).
In this work we developed a methodology for detecting fraudulent pages
within... –
More
Lab paper at GECCO 2013
15-03-2013 –
Our staff will present our recent work about Automatic String Replace
by Examples at ACM GECCO 2013. The conference will be held in Amsterdam
at the beginning of next July.In this work, we propose a tool based on
genetic programming (GP) for generating... –
More
Twitter event *tion presented at WI 2012
14-12-2012 –
Our work on event detection, classification and summarization on
Twitter has been presented last week at Web Intelligence conference
2012 (WI 2012).In this work, titled Brand-related Events Detection,
Classification and Summarization on Twitter, we propose... –
More
Automatic Generation of Regular Expression: version 1.1
12-12-2012 –
We have slightly improved our automatic generator of regular
expressions—a few internal optimizations, a few more computing
resources and better load balancing. We describe below how the system
works—very informally and very briefly. Then, we will list... –
More
Fraudulent pages in web sites of Italian Administrations
27-11-2012 –
Attacks to web sites resulting in the creation of fraudulent content by
hackers are ubiquitous. In this work we attempted to assess the ability
of Italian public administrations to be in full control of the
respective web sites.
We examined several thousands... –
More
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