20142017

Research output per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Keywords

  • Statistical Machine Learning
  • Bioinformatics
  • Cancer genomics
  • Personalized medicine
  • Probabilistics multi-source modelling

Fingerprint Dive into the research topics where Muhammad Ammad-Ud-Din is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 16 Similar Profiles

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output

GFA: Exploratory Analysis of Multiple Data Sources with Group Factor Analysis

Leppäaho, E., Ammad-ud-din, M. & Kaski, S., 2017, In : Journal of Machine Learning Research. 18, p. 1-5 5 p., 39.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
4 Citations (Scopus)
185 Downloads (Pure)

Interactive Elicitation of Knowledge on Feature Relevance Improves Predictions in Small Data Sets

Micallef, L., Sundin, I., Marttinen, P., Ammad-Ud-Din, M., Peltola, T., Soare, M., Jacucci, G. & Kaski, S., 7 Mar 2017, IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces. ACM, p. 547-552 6 p.

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

Open Access
  • 10 Citations (Scopus)

    Machine learning methods for improving drug response prediction in cancer

    Ammad-ud-din, M., 2017, Aalto University. 138 p.

    Research output: ThesisDoctoral ThesisCollection of Articles

    Open Access
  • Regression with n → 1 by expert knowledge elicitation

    Soare, M., Ammad-Ud-din, M. & Kaski, S., 31 Jan 2017, Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016. IEEE, p. 734-739 6 p. 7838235

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

    Open Access
  • 3 Citations (Scopus)

    Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression

    Ammad-Ud-Din, M., Khan, S. A., Wennerberg, K. & Aittokallio, T., 15 Jul 2017, In : Bioinformatics. 33, 14, p. i359-i368

    Research output: Contribution to journalArticleScientificpeer-review

    Open Access
    File
  • 19 Citations (Scopus)
    27 Downloads (Pure)

    Projects

    Privacy-aware retrieval and modelling of genomic data

    Kaski, S. & Ammad-Ud-Din, M.

    01/07/201430/09/2016

    Project: Academy of Finland: Other research funding