Multi-agent Random Walks for Local Clustering on Graphs. - Morteza Alamgir; Ulrike von Luxburg (ICDM, 2010)

Multitask Learning for Brain-Computer Interfaces. - Morteza Alamgir; Moritz Grosse-Wentrup; Yasemin Altun (AISTATS, 2010)

Phase transition in the family of p-resistances. - Morteza Alamgir; Ulrike von Luxburg (NIPS, 2011)

Shortest path distance in random k-nearest neighbor graphs. - Morteza Alamgir; Ulrike von Luxburg (ICML, 2012)

Density estimation from unweighted k-nearest neighbor graphs: a roadmap. - Ulrike von Luxburg; Morteza Alamgir (NIPS, 2013)

Density-preserving quantization with application to graph downsampling. - Morteza Alamgir; Gábor Lugosi; Ulrike von Luxburg (COLT, 2014)

Analysis of Distance Functions in Graphs. - Morteza Alamgir (2014)

Transfer Learning in Brain-Computer Interfaces. - Vinay Jayaram; Morteza Alamgir; Yasemin Altun; Bernhard Schölkopf; Moritz Grosse-Wentrup (CoRR, 2015)

Peer Grading in a Course on Algorithms and Data Structures: Machine Learning Algorithms do not Improve over Simple Baselines. - Mehdi S. M. Sajjadi; Morteza Alamgir; Ulrike von Luxburg (L@S, 2016)

Transfer Learning in Brain-Computer Interfaces Abstract uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail. - Vinay Jayaram; Morteza Alamgir; Yasemin Altun; Bernhard Schölkopf; Moritz Grosse-Wentrup (IEEE Comput. Intell. Mag., 2016)

Fighting sampling bias: A framework for training and evaluating credit scoring models. - Nikita Kozodoi; Stefan Lessmann; Morteza Alamgir; Luís Moreira-Matias; Konstantinos Papakonstantinou (Eur. J. Oper. Res., 2025)