Challenges / JRS 2012 Data Mining Competition: Topical Classification of Biomedical Research Papers

Status Closed
Type Scientific
Start 2012-01-02 00:00:00 CET
End 2012-03-30 23:59:59 CET
Prize 1,500$

Registration is required.


Our JRS'2012 Data Mining Contest has finished!

The competition attracted a total of 396 teams with 533 registered members. Among them there has been 126 active teams who submitted at leas one solution to the leaderboard. A total number of submissions was 5964. The participating teams were from 50 different countries across six continents. From the active teams, 41 provided us a brief report describing their approach.

Thank you very much for your hard work!
You were able to significantly improve the baseline result. The improvement in the F1score exceeded 125% (the best team obtained a result of 0.53579, while the lowest baseline was 0.23721).

The Winners
  1. Jure Žbontar, Miha Zidar, Blaž Zupan, Gregor Majcen, Marinka Žitnik, Matic Potočnik Faculty of Computer and Information Science Ljubljana, Slovenia (team ULjubljana)
  2. Weiwei Cheng, Krzysztof Dembczyński, Eyke Hüllermeier, Adrian Jaroszewicz, Willem Waegeman University of Marburg, Poznań University of Technology and Ghent University, Germany, Poland and Belgium (team Kebi)
  3. Alexander D'yakonov Moscow State University, Russia (team D'yakonov Alexander)
Congratulation on your excellent results!

We have also invited nine teams to contribute an extended version of their report to a special session at the JRS'2012 conference, which will be devoted to our contest.

The true classification of the test data is now available! (here)

Other meta-data related to the competition are available below. They include true column names, label names, as well as PMID identifiers of documents corresponding to the training and test cases.

If you are planning to use our data in your research, please give us credit by referring to the contest in your related publications. A bibtex entry of a paper describing our competition is available here.

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