Melih Kandemir
Melih Kandemir
Group Leader at BCAI, Adjunct Professor at ITU
Verified email at de.bosch.com - Homepage
Title
Cited by
Cited by
Year
Automatic segmentation of colon glands using object-graphs
C Gunduz-Demir, M Kandemir, AB Tosun, C Sokmensuer
Medical image analysis 14 (1), 1-12, 2010
1542010
Evidential Deep Learning to Quantify Classification Uncertainty
M Sensoy, L Kaplan, M Kandemir
Advances in Neural Information Processing Systems (NeurIPS), 3179-3189, 2018
1432018
Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection
AB Tosun, M Kandemir, C Sokmensuer, C Gunduz-Demir
Pattern Recognition 42 (6), 1104-1112, 2009
1012009
Computer-aided diagnosis from weak supervision: A benchmarking study
M Kandemir, FA Hamprecht
Computerized medical imaging and graphics 42, 44-50, 2015
952015
An augmented reality interface to contextual information
A Ajanki, M Billinghurst, H Gamper, T Järvenpää, M Kandemir, S Kaski, ...
Virtual reality 15 (2-3), 161-173, 2011
912011
Empowering multiple instance histopathology cancer diagnosis by cell graphs
M Kandemir, C Zhang, FA Hamprecht
International Conference on Medical Image Computing and Computer-Assisted …, 2014
572014
Asymmetric transfer learning with deep gaussian processes
M Kandemir
International Conference on Machine Learning, 730-738, 2015
382015
Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals
JP Kauppi, M Kandemir, VM Saarinen, L Hirvenkari, L Parkkonen, A Klami, ...
NeuroImage 112, 288-298, 2015
362015
Digital pathology: Multiple instance learning can detect Barrett's cancer
M Kandemir, A Feuchtinger, A Walch, FA Hamprecht
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 1348-1351, 2014
292014
Multi-task and multi-view learning of user state
M Kandemir, A Vetek, M Goenen, A Klami, S Kaski
Neurocomputing 139, 97-106, 2014
262014
Gaussian process density counting from weak supervision
M von Borstel, M Kandemir, P Schmidt, MK Rao, K Rajamani, ...
European Conference on Computer Vision, 365-380, 2016
222016
Inferring object relevance from gaze in dynamic scenes
M Kandemir, VM Saarinen, S Kaski
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications …, 2010
222010
Instance Label Prediction by Dirichlet Process Multiple Instance Learning.
M Kandemir, FA Hamprecht
UAI, 380-389, 2014
182014
Variational Bayesian Multiple Instance Learning with Gaussian Processes
M Haußmann, FA Hamprecht, M Kandemir
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
172017
Learning relevance from natural eye movements in pervasive interfaces
M Kandemir, S Kaski
Proceedings of the 14th ACM international conference on Multimodal …, 2012
132012
Deep Active Learning with Adaptive Acquisition
M Haußmann, FA Hamprecht, M Kandemir
International Joint Conference on Artificial Intelligence (IJCAI), arXiv …, 2019
112019
Contextual information access with augmented reality
A Ajanki, M Billinghurst, T Järvenpää, M Kandemir, S Kaski, M Koskela, ...
2010 IEEE International Workshop on Machine Learning for Signal Processing …, 2010
112010
Supervising Topic Models with Gaussian Processes
M Kandemir, T Kekeç, R Yeniterzi
Pattern Recognition 77, 226-236, 2018
92018
Multitask learning using regularized multiple kernel learning
M Gönen, M Kandemir, S Kaski
International Conference on Neural Information Processing, 500-509, 2011
92011
Sampling-Free Variational Inference of Bayesian Neural Nets with Variance Backpropagation
M Haussmann, FA Hamprecht, M Kandemir
Uncertainty in Artificial Intelligence (UAI), arXiv preprint arXiv:1805.07654, 2019
8*2019
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Articles 1–20