Active one-class learning by kernel density estimation. - Alireza Ghasemi; Mohammad Taghi Manzuri; Hamid R. Rabiee; Mohammad H. Rohban; Siavash Haghiri (MLSP, 2011)

Exploiting Structural Information of Data in Active Learning. - Maryam Shadloo; Hamid Beigy; Siavash Haghiri (ICAISC (2), 2014)

Locality preserving discriminative dictionary learning. - Siavash Haghiri; Hamid R. Rabiee; Ali Soltani-Farani; Seyyed Abbas Hosseini; Maryam Shadloo (ICIP, 2014)

Comparison-Based Nearest Neighbor Search. - Siavash Haghiri; Debarghya Ghoshdastidar; Ulrike von Luxburg (AISTATS, 2017)

Comparison-Based Random Forests. - Siavash Haghiri; Damien Garreau; Ulrike von Luxburg (ICML, 2018)

Comparison-Based Framework for Psychophysics: Lab versus Crowdsourcing. - Siavash Haghiri; Felix A. Wichmann; Ulrike von Luxburg (CoRR, 2019)

Estimation of perceptual scales using ordinal embedding. - Siavash Haghiri; Felix A. Wichmann; Ulrike von Luxburg (CoRR, 2019)

Large scale representation learning from triplet comparisons. - Siavash Haghiri; Leena Chennuru Vankadara; Ulrike von Luxburg (CoRR, 2019)

Comparison-based methods in machine learning. - Siavash Haghiri (2021)

Insights into Ordinal Embedding Algorithms: A Systematic Evaluation. - Leena Chennuru Vankadara; Michael Lohaus; Siavash Haghiri; Faiz Ul Wahab; Ulrike von Luxburg (J. Mach. Learn. Res., 2023)