Amir Ghasemian
Amir Ghasemian
Department of Statistics at Harvard/Temple University
Verified email at - Homepage
Cited by
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Detectability thresholds and optimal algorithms for community structure in dynamic networks
A Ghasemian, P Zhang, A Clauset, C Moore, L Peel
Physical Review X 6 (3), 031005, 2016
Towards understanding cyberbullying behavior in a semi-anonymous social network
H Hosseinmardi, A Ghasemianlangroodi, R Han, Q Lv, S Mishra
2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014
Evaluating overfit and underfit in models of network community structure
A Ghasemian, H Hosseinmardi, A Clauset
IEEE Transactions on Knowledge and Data Engineering, 2019
Analyzing negative user behavior in a semi-anonymous social network
H Hosseinmardi, R Han, Q Lv, S Mishra, A Ghasemianlangroodi
CoRR abs 1404, 2014
Stacking models for nearly optimal link prediction in complex networks
A Ghasemian, H Hosseinmardi, A Galstyan, EM Airoldi, A Clauset
Proceedings of the National Academy of Sciences 117 (38), 23393-23400, 2020
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction
H Hosseinmardi, A Ghasemian, S Narayanan, K Lerman, E Ferrara
arXiv preprint arXiv:1808.10867, 2018
Limits of model selection, link prediction, and community detection
A Ghasemian
University of Colorado at Boulder, 2019
Highly Accurate Link Prediction in Networks Using Stacked Generalization
A Ghasemian, A Galstyan, A Clauset
Aaron Clauset
A Ghasemian, H Hosseinmardi, A Galstyan, EM Airoldi
Proc. 2015 IEEE International Conference on Data Mining (ICDM) 339, 348, 2015
Quantization Noise Reduction Using Random Dither in Direct Torque Control of an Induction Motor
A Ghasemian, A Taheri
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Articles 1–10