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Books and Theses
- 2021
[b1]Siavash Haghiri:
Comparison-based methods in machine learning. University of Tübingen, Germany, 2021
Journal Articles
- 2023
- [j1]Leena Chennuru Vankadara, Michael Lohaus, Siavash Haghiri, Faiz Ul Wahab, Ulrike von Luxburg:
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation. J. Mach. Learn. Res. 24: 191:1-191:83 (2023)
Conference and Workshop Papers
- 2018
- [c5]Siavash Haghiri, Damien Garreau, Ulrike von Luxburg:
Comparison-Based Random Forests. ICML 2018: 1866-1875 - 2017
- [c4]Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg:
Comparison-Based Nearest Neighbor Search. AISTATS 2017: 851-859 - 2014
- [c3]Maryam Shadloo, Hamid Beigy
, Siavash Haghiri:
Exploiting Structural Information of Data in Active Learning. ICAISC (2) 2014: 796-808 - [c2]Siavash Haghiri, Hamid R. Rabiee, Ali Soltani-Farani, Seyyed Abbas Hosseini, Maryam Shadloo:
Locality preserving discriminative dictionary learning. ICIP 2014: 5242-5246 - 2011
- [c1]Alireza Ghasemi, Mohammad Taghi Manzuri, Hamid R. Rabiee, Mohammad H. Rohban, Siavash Haghiri:
Active one-class learning by kernel density estimation. MLSP 2011: 1-6
Informal and Other Publications
- 2019
- [i5]Siavash Haghiri, Felix A. Wichmann, Ulrike von Luxburg:
Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing. CoRR abs/1905.07234 (2019) - [i4]Siavash Haghiri, Felix A. Wichmann, Ulrike von Luxburg:
Estimation of perceptual scales using ordinal embedding. CoRR abs/1908.07962 (2019) - [i3]Siavash Haghiri, Leena Chennuru Vankadara, Ulrike von Luxburg:
Large scale representation learning from triplet comparisons. CoRR abs/1912.01666 (2019) - 2018
- [i2]Siavash Haghiri, Damien Garreau, Ulrike von Luxburg:
Comparison-Based Random Forests. CoRR abs/1806.06616 (2018) - 2017
- [i1]Siavash Haghiri, Debarghya Ghoshdastidar, Ulrike von Luxburg:
Comparison Based Nearest Neighbor Search. CoRR abs/1704.01460 (2017)
Coauthor Index
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