Modeling the Performance of Atomic Primitives on Modern Architectures. - Fazeleh Sadat Hoseini; Aras Atalar; Philippas Tsigas (ICPP, 2019)

Memory-Efficient Sampling for Minimax Distance Measures. - Fazeleh Sadat Hoseini; Morteza Haghir Chehreghani (CoRR, 2020)

A Generic Framework for Clustering Vehicle Motion Trajectories. - Fazeleh Sadat Hoseini; Sadegh Rahrovani; Morteza Haghir Chehreghani (CoRR, 2020)

Vehicle Motion Trajectories Clustering via Embedding Transitive Relations. - Fazeleh Sadat Hoseini; Sadegh Rahrovani; Morteza Haghir Chehreghani (ITSC, 2021)

Memory-Efficient Minimax Distance Measures. - Fazeleh Sadat Hoseini; Morteza Haghir Chehreghani (PAKDD (1), 2022)

Online learning of network bottlenecks via minimax paths. - Niklas Åkerblom; Fazeleh Sadat Hoseini; Morteza Haghir Chehreghani (Mach. Learn., 2023)

A Contextual Combinatorial Semi-Bandit Approach to Network Bottleneck Identification. - Fazeleh Sadat Hoseini; Niklas Åkerblom; Morteza Haghir Chehreghani (CIKM, 2024)