| Comparative study of caffe, neon, theano, and torch for deep learning S Bahrampour, N Ramakrishnan, L Schott, M Shah | 357* | 2016 |
| Multimodal task-driven dictionary learning for image classification S Bahrampour, NM Nasrabadi, A Ray, WK Jenkins IEEE Transactions on Image Processing 25 (1), 24 - 38, 2015 | 180 | 2015 |
| Performance Comparison of Feature Extraction Algorithms for Target Detection and Classification⋆ S Bahrampour, A Ray, S Sarkar, T Damarla, NM Nasrabadi Pattern Recognition Letters 34 (16), 2126–2134, 2013 | 74 | 2013 |
| Weighted and constrained possibilistic C-means clustering for online fault detection and isolation S Bahrampour, B Moshiri, K Salahshoor Applied Intelligence 35, 269-284, 2011 | 58 | 2011 |
| An electrochemical platform for localized pH control on demand N Fomina, CA Johnson, A Maruniak, S Bahrampour, C Lang, RW Davis, ... Lab on a Chip 16 (12), 2236-2244, 2016 | 35 | 2016 |
| Deep learning on symbolic representations for large-scale heterogeneous time-series event prediction S Zhang, S Bahrampour, N Ramakrishnan, L Schott, M Shah 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 26 | 2017 |
| Quality-based Multimodal Classification Using Tree-Structured Sparsity S Bahrampour, A Ray, NM Nasrabadi, KW Jenkins IEEE Conference on Computer Vision and Pattern Recognition, 2014 | 23 | 2014 |
| Instrumentation of a Roof Bolter Machine for Void Detection and Rock Characterization S Bahrampour, J Rostami, A Naeimipour, C Collins, S Kahraman 32nd International Conference on Ground Control in Mining, 2013 | 16 | 2013 |
| Kernel task-driven dictionary learning for hyperspectral image classification S Bahrampour, NM Nasrabadi, A Ray, KW Jenkins 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 13 | 2015 |
| Logging of roofbolt boreholes for ground characterization in underground construction J Rostami, A Naeimipour, S Bahrampour, C Dogruoz Proceedings of world tunneling conference, Iguasso Falls, Brazil, 2014 | 9 | 2014 |
| Rock Characterization Using Time-Series Classification Algorithms S Bahrampour, J Rostami, A Naeimipour, C Collins 33rd International Conference on Ground Control in Mining, 2014 | 8 | 2014 |
| Comparative study of deep learning software frameworks. arXiv S Bahrampour, N Ramakrishnan, L Schott, M Shah Learning, 2016 | 7 | 2016 |
| Comparative study of Caffe S Bahrampour, N Ramakrishnan, L Schott, M Shah Neon, Theano, and Torch for Deep Learning. arXiv 1511, 2015 | 6 | 2015 |
| New fusion architectures for performance enhancement of a pca-based fault diagnosis and isolation system SP Azad, S Bahrampour, B Moshiri, K Salahshoor IFAC Proceedings Volumes 42 (8), 852-857, 2009 | 6 | 2009 |
| Comparative study of deep learning software frameworks. arXiv 2015 S Bahrampour, N Ramakrishnan, L Schott, M Shah arXiv preprint arXiv:1511.06435 3, 0 | 5 | |
| Deep Symbolic Representation Learning for Heterogeneous Time-series Classification S Zhang, S Bahrampour, N Ramakrishnan, M Shah arXiv:1612.01254, 2016 | 3 | 2016 |
| Distributed fault detection and isolation algorithm using modified Gath-Geva clustering technique S Bahrampour, K Salahshour, B Moshiri IFAC Proceedings Volumes 42 (8), 858-863, 2009 | 3 | 2009 |
| Select reliable strategy in multi-agent systems using fuzzy logic-based fusion A Ramezani, MR Andalibizadeh, S Bahrampour, H Ramezani, B Moshiri 2008 Second Asia International Conference on Modelling & Simulation (AMS), 13-17, 2008 | 3 | 2008 |
| Sparse Representation for Time-Series Classification S Bahrampour, NM Nasrabadi, A Ray Pattern Recognition: From Classical to Modern Approaches, 2015 | 1 | 2015 |
| Sparse Representation for Information Fusion S Bahrampour | | 2015 |
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