News

Two computer science articles have been made into videos

The videos have been made for the cross disciplinary Conference on Knowledge Discovery & Data Mining KDD 2016.

Two articles from the Department of Computer Science, DopeLearning: A Computational Approach to Rap Lyrics Generation and Reconstructing an Epidemic over Time, have been accepted to Conference on Knowledge Discovery & Data Mining KDD 2016. The conference will be held in August in San Francisco. For the conference, all papers have been made into videos where the scientists show their central theories and findings.

The videos are a part of the Audience Appreciation Competition where the videos with the most views will be watched by a jury. The jury will announce a winner according to scientific and artistic criteria. The winner will get an award of one thousand dollars.

DopeLearning: A Computational Approach to Rap Lyrics Generation and DeepBeat was developed by doctoral students Eric Malmi and Pyry Takala, along with professors Tapani Raiko and Aristides Gionis from the Aalto University Computer Science Department and professor Hannu Toivonen from the University of Helsinki and HIIT.

The authors of Reconstructing an Epidemic over Time made a model of spreading in networks. The model can be applied to everything from health related issues to the spreading of different internet phenomena.

- We have developed CulT, a scalable and effective algorithm to reconstruct epidemics that is also suited for an online setting, the researchers say.

Reconstructing an Epidemic over Time was written by Doctoral student Polina Rozenshtein and Professor Aristides Gionis from the Department of Computer Science at Aalto University and Assistan Professor B. Aditya Prakash from Virginia Tech and researcher Jilles Vreeken from Max-Planck Institute for Informatics and Saarland University.

The other papers can be viewed on the conference's Youtube channel.

  • Published:
  • Updated:
Share
URL copied!

Related news

KTT Sami Itani
Research & Art Published:

Doctor’s career path: CEO Sami Itani’s story

‘Doctoral studies consist of team-based project work in which you can act as your own project manager.’
kaksi naista istuu punaisilla tuoleilla studiossa keskustelemassa, taustalla musta verho ja keltainen lattia
Research & Art, Studies Published:

What can we learn from the pandemic?

Aalto University's studio discussion focused on what the COVID-19 pandemic has taught us about the importance of the environment for health and wellbeing.
Assistant Professor Peter Nyberg, McKinsey Teacher of the Year 2020.
Honoured, Research & Art Published:

Aalto BIZ Teacher of the Year 2020

Finance Assistant Professor Peter Nyberg has been nominated as the Aalto BIZ Teacher of the Year 2020.
Machine Learning Coffee Seminar logo in purple and white colours
Research & Art Published:

Machine Learning Coffee Seminars continue with a great lineup of speakers

MLCS gathers together people from different fields of science who have at least one thing in common, interest in machine learning