Melih Kandemir

1.4k total citations
32 papers, 513 citations indexed

About

Melih Kandemir is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Melih Kandemir has authored 32 papers receiving a total of 513 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Melih Kandemir's work include Image Retrieval and Classification Techniques (8 papers), AI in cancer detection (6 papers) and Gaussian Processes and Bayesian Inference (5 papers). Melih Kandemir is often cited by papers focused on Image Retrieval and Classification Techniques (8 papers), AI in cancer detection (6 papers) and Gaussian Processes and Bayesian Inference (5 papers). Melih Kandemir collaborates with scholars based in Germany, Türkiye and Denmark. Melih Kandemir's co-authors include Fred A. Hamprecht, Çiğdem Gündüz-Demir, Akif Burak Tosun, Cenk Sökmensüer, Samuel Kaski, Chong Zhang, Arto Klami, Annette Feuchtinger, Axel Walch and Mehmet Gönen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Pattern Recognition.

In The Last Decade

Melih Kandemir

30 papers receiving 492 citations

Peers

Countries citing papers authored by Melih Kandemir

Since Specialization

Citations

This map shows the geographic impact of Melih Kandemir's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Melih Kandemir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melih Kandemir more than expected).

Fields of papers citing papers by Melih Kandemir

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melih Kandemir. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Melih Kandemir. The network helps show where Melih Kandemir may publish in the future.

Co-authorship network of co-authors of Melih Kandemir

This figure shows the co-authorship network connecting the top 25 collaborators of Melih Kandemir. A scholar is included among the top collaborators of Melih Kandemir based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Melih Kandemir. Melih Kandemir is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	EdVAE: Mitigating codebook collapse with evidential discrete variational autoencoders 2024 ·Pattern Recognition ·(unknown), Melih Kandemir, Gözde Ünal	4
2	ALReg: Registration of 3D Point Clouds Using Active Learning 2023 ·Applied Sciences ·(unknown), (unknown), Melih Kandemir, Gözde Ünal	1
3	PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), David Reeb, Melih Kandemir, Jan Peters	1
4	PAC-Bayesian lifelong learning for multi-armed bandits 2022 ·Data Mining and Knowledge Discovery ·(unknown), David Reeb, Melih Kandemir, Jan Peters	4
5	Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes 2020 ·arXiv (Cornell University) ·(unknown), Sebastian Gerwinn, (unknown), Barbara Rakitsch, Melih Kandemir	1
6	Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation 2018 ·arXiv (Cornell University) ·(unknown), Fred A. Hamprecht, Melih Kandemir	6
7	Prediction of active UE number with Bayesian neural networks for self-organizing LTE networks 2017 ·ECS Journal of Solid State Science and Technology (The Electrochemical Society) ·Ömer Narmanlıoğlu, Engin Zeydan, Melih Kandemir, (unknown)	12
8	Variational Bayesian Multiple Instance Learning with Gaussian Processes 2017 ·ECS Journal of Solid State Science and Technology (The Electrochemical Society) ·(unknown), Fred A. Hamprecht, Melih Kandemir	20
9	Variational Weakly Supervised Gaussian Processes 2016 ·Melih Kandemir, (unknown), Ferran Diego, Kumar Rajamani, Jeroen van der Laak, Fred A. Hamprecht	7
10	Asymmetric Transfer Learning with Deep Gaussian Processes 2015 ·International Conference on Machine Learning ·Melih Kandemir	29
11	Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals 2015 ·NeuroImage ·Jukka‐Pekka Kauppi, Melih Kandemir, (unknown), Lotta Hirvenkari, Lauri Parkkonen, Arto Klami, Riitta Hari, Samuel Kaski	31
12	Computer-aided diagnosis from weak supervision: A benchmarking study 2014 ·Computerized Medical Imaging and Graphics ·Melih Kandemir, Fred A. Hamprecht	76
13	Event Detection by Feature Unpredictability in Phase-Contrast Videos of Cell Cultures 2014 ·Lecture notes in computer science ·Melih Kandemir, José C. Rubio, (unknown), Christian Wojek, Johannes Welbl, Björn Ommer, Fred A. Hamprecht	1
14	Empowering Multiple Instance Histopathology Cancer Diagnosis by Cell Graphs 2014 ·Lecture notes in computer science ·Melih Kandemir, Chong Zhang, Fred A. Hamprecht	37
15	Multi-task and multi-view learning of user state 2014 ·Neurocomputing ·Melih Kandemir, (unknown), Mehmet Gönen, Arto Klami, Samuel Kaski	27
16	Learning Mental States from Biosignals 2013 ·Aaltodoc (Aalto University) ·Melih Kandemir	0
17	Contextual information access with Augmented Reality 2010 ·UniSA Research Outputs Repository (University of South Australia) ·(unknown), Mark Billinghurst, Toni Järvenpää, Melih Kandemir, Samuel Kaski, Markus Koskela, Mikko Kurimo, Jorma Laaksonen, Kai Puolamäki, (unknown), Timo Tossavainen	6
18	Inferring object relevance from gaze in dynamic scenes 2010 ·Melih Kandemir, (unknown), Samuel Kaski	13
19	Automatic segmentation of colon glands using object-graphs 2009 ·Medical Image Analysis ·Çiğdem Gündüz-Demir, Melih Kandemir, Akif Burak Tosun, Cenk Sökmensüer	103
20	Object-oriented texture analysis for the unsupervised segmentation of biopsy images for cancer detection 2008 ·Pattern Recognition ·Akif Burak Tosun, Melih Kandemir, Cenk Sökmensüer, Çiğdem Gündüz-Demir	63

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact