Shayan Shams

Shams, S., Goswami, S., & Lee, K. (2019). Deep Learning-Based Spatial Analytics for Disaster-Related Tweets: An Experimental Study. In 2019 20th IEEE International Conference on Mobile Data Management (MDM) (p. 6). http://doi.org/10.1109/MDM.2019.00-40
Shams, S., Platania, R., Zhang, J., Kim, J., Lee, K., & Park, S.-J. (2018). Deep Generative Breast Cancer Screening and Diagnosis. In International Conference on Medical Image Computing and Computer-Assisted Intervention. http://doi.org/10.1007/978-3-030-00934-2_95
Shams, S., Goswami, S., Lee, K., Yang, S., & Park, S.-J. (2018). Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies. In 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS) (2018) (p. 8). http://doi.org/10.1109/ICDCS.2018.00127
Goswami, S., Lee, K., Shams, S., & Park, S.-J. (2018). GPU-Accelerated Large-Scale Genome Assembly. In 2018 IEEE International Parallel and Distributed Processing Symposium (p. 11). http://doi.org/10.1109/IPDPS.2018.00091
Shams, S., Platania, R., Kim, J., Zhang, J., Lee, K., Yang, S., & Park, S.-J. (2018). A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks. In 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (p. 10). http://doi.org/10.1145/3233547.3233601