Mohadeseh is a postdoctoral research fellow in School of Computing and Information Systems at The University of Melbourne. She did her PhD at The University of Melbourne and machine learning group of DATA61(formerly NICTA).
During her undergraduate and post graduate research she focused on intersection of mathematical optimization and Machine Learning.
Mohadeseh’s research interests includes: supervised learning (classification, regression, ensemble methods), unsupervised and semi-supervised learning (clustering, cluster ensemble, network community detection), mathematical optimization and constraint programming (mathematical modeling, constraint solving and hybrid algorithms).
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Displaying the 3 most recent scholarly works by Seyedeh Mohadeseh Ghasempour Ganji.
A declarative approach to constrained community detection
M Ganji, J Bailey, PJ Stuckey
Conference Proceedings | 2017 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
© Springer International Publishing AG 2017. Community detection in the presence of prior information or preferences on solution p..