Mohammad Hossein Rohban
Mohammad Hossein Rohban
Computer Eng. Department, Sharif University of Technology
Verified email at - Homepage
Cited by
Cited by
Data-analysis strategies for image-based cell profiling
JC Caicedo, S Cooper, F Heigwer, S Warchal, P Qiu, C Molnar, ...
Nature methods 14 (9), 849-863, 2017
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
JC Caicedo, A Goodman, KW Karhohs, BA Cimini, J Ackerman, ...
Nature methods 16 (12), 1247-1253, 2019
A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay
MA Bray, SM Gustafsdottir, MH Rohban, S Singh, V Ljosa, KL Sokolnicki, ...
Gigascience 6 (12), 1-5, 2017
Systematic morphological profiling of human gene and allele function via Cell Painting
MH Rohban, S Singh, X Wu, JB Berthet, MA Bray, Y Shrestha, X Varelas, ...
Elife 6, e24060, 2017
Supervised neighborhood graph construction for semi-supervised classification
MH Rohban, HR Rabiee
Pattern Recognition 45 (4), 1363-1372, 2012
Topic discovery through data dependent and random projections
W Ding, MH Rohban, P Ishwar, V Saligrama
International Conference on Machine Learning, 1202-1210, 2013
Active learning from positive and unlabeled data
A Ghasemi, HR Rabiee, M Fadaee, MT Manzuri, MH Rohban
2011 IEEE 11th International Conference on Data Mining Workshops, 244-250, 2011
Efficient distributed topic modeling with provable guarantees
W Ding, M Rohban, P Ishwar, V Saligrama
Artificial Intelligence and Statistics, 167-175, 2014
Skin detection using contourlet-based texture analysis
M Fotouhi, MH Rohban, S Kasaei
2009 Fourth International Conference on Digital Telecommunications, 59-64, 2009
Capturing single-cell heterogeneity via data fusion improves image-based profiling
MH Rohban, HS Abbasi, S Singh, AE Carpenter
Nature communications 10 (1), 1-6, 2019
A bayesian approach to the data description problem
A Ghasemi, HR Rabiee, MT Manzuri, MH Rohban
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 2012
Minimax optimal sparse signal recovery with Poisson statistics
MH Rohban, V Saligrama, DM Vaziri
IEEE Transactions on Signal Processing 64 (13), 3495-3508, 2016
Active one-class learning by kernel density estimation
A Ghasemi, MT Manzuri, HR Rabiee, MH Rohban, S Haghiri
2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011
Necessary and sufficient conditions for novel word detection in separable topic models
W Ding, P Ishwar, MH Rohban, V Saligrama
arXiv preprint arXiv:1310.7994, 2013
A gaussian process regression framework for spatial error concealment with adaptive kernels
H Asheri, HR Rabiee, N Pourdamghani, MH Rohban
2010 20th International Conference on Pattern Recognition, 4541-4544, 2010
Manifold coarse graining for online semi-supervised learning
M Farajtabar, A Shaban, HR Rabiee, MH Rohban
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
Arae: Adversarially robust training of autoencoders improves novelty detection
M Salehi, A Arya, B Pajoum, M Otoofi, A Shaeiri, MH Rohban, HR Rabiee
Neural Networks, 2021
Sparse signal recovery under Poisson statistics
D Motamedvaziri, MH Rohban, V Saligrama
2013 51st Annual Allerton Conference on Communication, Control, and …, 2013
A new geometric approach to latent topic modeling and discovery
W Ding, MH Rohban, P Ishwar, V Saligrama
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Isograph: Neighbourhood graph construction based on geodesic distance for semi-supervised learning
M Ghazvininejad, M Mahdieh, HR Rabiee, PK Roshan, MH Rohban
2011 IEEE 11th International Conference on Data Mining, 191-200, 2011
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