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.

The lab is located at Department  of Industrial and Information Engineering (DI3)University of Trieste (room 1259, 2nd floor, building C3).

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The Lab at ICWE 2012

16-04-2012Our paper Recording and Replaying Navigations on AJAX Web Sites has been accepted for presentation at the 2012 International Conference on Web Engineering, which will be held in Berlin at the end of July.The paper describes a tool we designed for registering...More

Two lab papers at i-Society 2012

27-03-2012We will present the results of two our recent works at the IEEE International Conference on Information Society (iSociety 2012), which will held at the end of June in London.In the first work, titled A Tool for Registering and Replaying Web Navigation,...More

Our work on GP for Regex at GECCO 2012

14-03-2012Our paper Automatic Generation of Regular Expressions from Examples with Genetic Programming has been accepted at ACM Genetic and Evolutionary Computation Conference (GECCO 2012).We propose a system based on genetic programming (GP) for the automatic...More

Started large scale Twitter collection

20-01-2012We just started a large scale collection of Twitter posts (aka tweets). We are using a tool (TwitterSinkhole), written by our lab staff, which collects about 40 tweets per second using the Twitter Streaming API. This will result in about 3,500,000 tweets...More

PhD School at Krakow, Poland

17-01-2012Two of our PhD students will attend the 3rd TMA PhD School in Krakow, Poland.The program, titled "Traffic Understanding: From Traffic Classification to Quality of Experience", will cover topics related to traffic monitoring and machine learning.More