| Comparison-based nearest neighbor search S Haghiri, D Ghoshdastidar, U von Luxburg Artificial Intelligence and Statistics, 851-859, 2017 | 44 | 2017 |
| Comparison-based random forests S Haghiri, D Garreau, U Luxburg International Conference on Machine Learning, 1871-1880, 2018 | 38 | 2018 |
| Active one-class learning by kernel density estimation A Ghasemi, MT Manzuri, HR Rabiee, MH Rohban, S Haghiri 2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011 | 17 | 2011 |
| Estimation of perceptual scales using ordinal embedding S Haghiri, FA Wichmann, U von Luxburg Journal of vision 20 (9), 14-14, 2020 | 16 | 2020 |
| Insights into ordinal embedding algorithms: A systematic evaluation LC Vankadara, S Haghiri, M Lohaus, FU Wahab, U von Luxburg arXiv preprint arXiv:1912.01666, 2019 | 14* | 2019 |
| Comparison-based framework for psychophysics: Lab versus crowdsourcing S Haghiri, P Rubisch, R Geirhos, F Wichmann, U von Luxburg arXiv preprint arXiv:1905.07234, 2019 | 10 | 2019 |
| Locality preserving discriminative dictionary learning S Haghiri, HR Rabiee, A Soltani-Farani, SA Hosseini, M Shadloo 2014 IEEE International Conference on Image Processing (ICIP), 5242-5246, 2014 | 10 | 2014 |
| Efficient small-world and scale-free functional brain networks at rest using k-nearest neighbors thresholding CG Forlim, S Haghiri, S Düzel, S Kühn bioRxiv, 628453, 2019 | 3 | 2019 |
| Exploiting structural information of data in active learning M Shadloo, H Beigy, S Haghiri Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 2 | 2014 |
| Comparison-based methods in machine learning S Haghiri Universität Tübingen, 2021 | 1 | 2021 |
| Insights into Ordinal Embedding Algorithms: A Systematic Evaluation U von Luxburg, FU Wahab, M Lohaus, S Haghiri, LC Vankadara arXiv, 2021 | | 2021 |
| Insights into Ordinal Embedding Algorithms: A Systematic Evaluation L Chennuru Vankadara, S Haghiri, M Lohaus, FU Wahab, U von Luxburg arXiv e-prints, arXiv: 1912.01666, 2019 | | 2019 |
| Supplementary material for the article: Comparison-Based Random Forests S Haghiri, D Garreau, U von Luxburg | | |
Ulrike von LuxburgUniversity of TübingenVerified email at informatik.uni-tuebingen.de
