Professorship Babbar R.

Organisational unit: Research group

Research outputs

  1. 2019
  2. Published

    PicSOM and EURECOM Experiments in TRECVID 2019

    Laria Mantecon, H., Laaksonen, J., Francis, D. & Huet, B., Nov 2019, Proceedings of TRECVID 2019. NIST, 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

  3. Published

    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 journalArticle

  4. Published

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

    Falcon Perez, R., Götz, G. & Pulkki, V., 13 Sep 2019, Proceedings of the 23rd International Congress on Acoustics : integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany. Deutsche Gesellschaft für Akustik

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

  5. Published

    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

  6. Published

    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 journalArticle

  7. 2018
  8. Published

    Prediction of glucose tolerance without an oral glucose tolerance test

    Babbar, R., Heni, M., Peter, A., de Angelis, M. H., Häring, H. U., Fritsche, A., Preissl, H., Schölkopf, B. & Wagner, R., 19 Mar 2018, In : Frontiers in Endocrinology. 9, MAR, 82.

    Research output: Contribution to journalArticle

  9. Published

    Adversarial Extreme Multi-label Classification

    Babbar, R. & Schoelkopf, B., 2018.

    Research output: Working paperScientific

  10. Published

    Extreme Multi-label Classification for Information Retrieval

    Dembczynski, K. & Babbar, R., 2018, Advances in Information Retrieval: 40th European Conference on IR Research, ECIR 2018, Grenoble, France, March 26-29, 2018, Proceedings. Pasi, G., Piwowarski, B., Azzopardi, L. & Hanbury, A. (eds.). GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND: Springer International Publishing AG, Vol. 10772. p. 839-840 2 p. (Lecture Notes in Computer Science).

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

ID: 16559265