Events (66)

A Note on the Use of Topic Modeling and Deep Learning to Advance Information Retrieval

by prof. Massimo Melucci, Dept. of Information Engineering, University of Padova

When: January 9th, 2020 – 3:00 pm

Where: VIMM Seminar Hall

Abstract: Information Retrieval (IR) is the complex of theories, models, and technologies aiming to retrieve relevant information to user’s information needs. IR has recently made significant advances in understanding the content of multimedia documents and user queries.
In this talk, I’ll illustrate some noticeable advances, in particular, how topic modeling helps understand content and how the use of deep learning helps overcome some obstacles.

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Introduction to Resting State fMRI Processing: theory and practices

by Nicholas Metcalf, B.S. Bionformaticist and Data Analyst at Washington University in St. Louis

The course will be held on the following dates:

September 18, 19, 20, 25 and 26th, 2017.

The following concepts and steps in the analysis will be discussed:

  1. Introduction to fMRI data formats, volume & surface visualization, and anatomy registration
  2.  fMRI registration, distortion correction, and resampling in volume and to surfaces
  3.  fMRI noise removal, temporal filtering and masking
  4. Overview of the quality control techniques
  5. How to perform simple statistical analysis