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Profiles

Photo of Rohit Babbar

Rohit Babbar

Person: Professors, tenure track

20142019
No photo of Ricardo Falcon Perez

Ricardo Falcon Perez

Person: Doctoral students, Doctoral studies

20182019

Research Output

  • 4 Conference contribution
  • 3 Article
  • 1 Working paper

A Simple and Effective Scheme for Data Pre-processing in Extreme Classification

Khandagale, S. & Babbar, R., 26 Apr 2019, ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. p. 67-72

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  • Bonsai - Diverse and Shallow Trees for Extreme Multi-label Classification

    Khandagale, S., Xiao, H. & Babbar, R., 17 Apr 2019, In : arXiv.org.

    Research output: Contribution to journalArticleScientific

  • Data scarcity, robustness and extreme multi-label classification

    Babbar, R. & Schölkopf, B., 15 Sep 2019, In : Machine Learning. 108, 8-9, p. 1329-1351 23 p.

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 5 Citations (Scopus)
    126 Downloads (Pure)

    Activities

    • 1 Organization of a workshop, panel, session or tutorial
    • 1 Participant of a conference, workshop, session or tutorial
    • 1 Conference presentation

    Machine-learning-based estimation of reverberation time using room geometry for room effect rendering

    Ricardo Falcon Perez (Speaker), Georg Götz (Contributor), Ville Pulkki (Contributor)
    9 Sep 201914 Sep 2019

    Activity: Talk or presentation typesConference presentation

    Dagstuhl Seminar

    Rohit Babbar (Member)
    15 Jul 201820 Jul 2018

    Activity: Participating in or organising an event typesParticipant of a conference, workshop, session or tutorial

    Tutorial on Extreme Classification for Information Retrieval

    Rohit Babbar (Member)
    26 Apr 2018

    Activity: Participating in or organising an event typesOrganization of a workshop, panel, session or tutorial