M.  Haußmann, Gerwinn, S., and Kandemir, M., ?Bayesian Prior Networks with PAC Training?, arXiv preprint arXiv:1906.00816, 2019.

M.  Haußmann, Hamprecht, F. A., and Kandemir, M., ?Deep Active Learning with Adaptive Acquisition?, IJCAI. Proceedings. pp. 2470-2476, 2019.

M.  Haußmann, Hamprecht, F. A., and Kandemir, M., ?Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation?, UAI. Proceedings. pp. 563-573, 2019.

M.  Kandemir, Hamprecht, F. A., Wojek, C., and Schmidt, U., ?Active machine learning for training an event classification?, Patent, Patent Number WO2017032775 A1, 2017.

M.  Kandemir, Hamprecht, F. A., Wojek, C., and Schmidt, U., ?Maschinelles Lernen?, Patent, Patent Number WO2017032775A1, 2017.

M.  Kandemir, ?Asymmetric transfer learning with deep Gaussian processes?, ICML. Proceedings. pp. 730-738, 2015.

M.  Kandemir and Hamprecht, F. A., ?Cell event detection in phase-contrast microscopy sequences from few annotations?, MICCAI. Proceedings, vol. LNCS 9351. Springer, pp. 316-323, 2015.

J. P.  Kauppi, Kandemir, M., Saarinen, V. M., Hirvenkari, L., Parkkonen, L., Klami, A., Hari, R., and Kaski, S., ?Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals?, NeuroImage, vol. 112, pp. 288-298, 2015.

M.  Kandemir and Hamprecht, F. A., ?Computer-aided diagnosis from weak supervision: A benchmarking study?, Computerized Medical Imaging and Graphics, vol. 42, pp. 44-50, 2014.

M.  Kandemir, Feuchtinger, A., Walch, A., and Hamprecht, F. A., ?Digital Pathology: Multiple instance learning can detect Barrett'scancer?, ISBI. Proceedings. pp. 1348-1351, 2014.

M.  Kandemir, Zhang, C., and Hamprecht, F. A., ?Empowering multiple instance histopathology cancer diagnosis by cell graphs?, in MICCAI. Proceedings, 2014, vol. 8674, pp. 228-235.

M.  Kandemir, Rubio, J. C., Schmidt, U., Welbl, J., Ommer, B., and Hamprecht, F. A., ?Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures?, in MICCAI. Proceedings, 2014, pp. 154-161.

M.  Kandemir and Hamprecht, F. A., ?Instance Label Prediction by Dirichlet Process Multiple Instance Learning?, in UAI. Proceedings, 2014.

C. N.  Straehle, Kandemir, M., Köthe, U., and Hamprecht, F. A., ?Multiple instance learning with response-optimized random forests?, in ICPR. Proceedings, 2014, pp. 3768 - 3773.

M.  Kandemir, Klami, A., Gonen, M., Vetek, A., and Kaski, S., ?Multi-task and multi-view learning of user state?, Neurocomputing, vol. 139, pp. 97-106, 2014.