Melih Kandemir


 I am an assistant professor at Özyeğin University,
Computer Science Department. My  research activity
focuses primarily on  Bayesian inference  of deep neural nets    and their  applications to computer  vision,  time series  analysis, and medical image analysis  problems.


E-mail: name [dot] surname [at] ozyegin [dot] edu [dot] tr
Address: Nişantepe mah. Orman sok. 34-36, Alemdağ, Çekmeköy, İstanbul
Office: EF 104 | Phone: +90-216-564-9537
Scholar | GitHub | LinkedIn | Vita




(Full list available here)

  • Prediction of Active UE Number with Bayesian Neural Networks for Self-Organizing LTE Networks
    Ö. Narmanlıoğlu, E. Zeydan, M. Kandemir, T. Kranda,
    Network of the Future (NoF), Proceedings, (2017), Accepted
  • Variational Bayesian multiple instance learning with Gaussian processes
    M. Haußmann, F.A. Hamprecht, M. Kandemir
    CVPR, Proceedings, (2017)  [PDF]
  • Variational weakly supervised Gaussian processes
    M. Kandemir, M. Haußmann, F. Diego, K. Rajamani, J. van der Laak, F.A. Hamprecht
    BMVC, Proceedings, (2016), (Oral) [PDF] [Code]
  • Gaussian process density counting from weak supervision
    M. von Borstel, M. Kandemir, P. Schmidt, M. Rao, K. Rajamani, F.A. Hamprecht
    ECCV, Proceedings, (2016) [PDF]


  • Asymmetric transfer learning with deep Gaussian processes
    M. Kandemir
    ICML, Proceedings, (2015) [PDF] [Code][Talk]
  • Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals
    J.P. Kauppi *, M. Kandemir *, V.M. Saarinen, L. Hirvenkari, L. Parkkonen, A.Klami, R. Hari, S. Kaski
    NeuroImage, (2015) * Equal Contributions [PDF]
  • Instance label prediction by Dirichlet process multiple instance learning
    M. Kandemir, F.A. Hamprecht
    UAI, Proceedings, (2014) [PDF] [Code]
  • Empowering multiple instance histopathology cancer diagnosis by cell graphs
    M. Kandemir, C. Zhang, F.A. Hamprecht
    MICCAI, Proceedings, (2014) [PDF] [Code]