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Tafti, A.P., LaRose, E., Badger, J., Ye, Z., Shimpi, B.D.S., Fereshteh, S. and Elham Sagheb, H.M., Big data deep neural network to analyze adverse vaccine reactions. 2018. AMIA 2018 Informatics Summit. [AMIA 2018 Informatics Summit]
Wu, Y., Fan, J., Peissig, P., Berg, R., Tafti, A.P., Yin, J., Yuan, M., Page, D., Cox, J. and Burnside, E.S., 2018, February. Quantifying predictive capability of electronic health records for the most harmful breast cancer. In Proceedings of SPIE--the International Society for Optical Engineering (Vol. 10577). NIH Public Access. [SPIE Digital Library]
Bashiri, F.S., LaRose, E., Peissig, P. and Tafti, A.P., 2018. MCIndoor20000: a fully-labeled image dataset to advance indoor objects detection. Data in Brief. [ScienceDirect]


Tafti, A.P., Behravesh, E., Assefi, M., LaRose, E., Badger, J., Mayer, J., Doan, A., Page, D., Peissig, P., 2017. bigNN: an open-source big data toolkit focused on biomedical sentence classification. 2017 IEEE International Conference on Big Data (IEEE BigData'17). [PDF File]
Assefi, M., Behravesh, E., Liu, G., Tafti, A.P., 2017. Big data machine learning using Apache Spark MLlib. 2017 IEEE International Conference on Big Data (IEEE BigData'17). [PDF File]
Tafti, A.P., Badger, J., LaRose, E., Shirzadi, E., Mahnke, A., Mayer, J., Ye, Z., Page, D. and Peissig, P., 2017. Adverse Drug Event Discovery Using Biomedical Literature: A Big Data Neural Network Adventure. JMIR medical informatics, 5(4), p.e51. [JMIR Medical Informatics]
Tafti, A.P., LaRose E., Badger J., Kleiman R. and Peissig, P., 2017. Machine Learning-as-a-Service and its Application to Medical Informatics. Machine Learning and Data Mining in Pattern Recognition. [SpringerLink]
Baghaie, A., Tafti, A.P., Owen, H.A., D’Souza, R.M. and Yu, Z., 2017. Three-dimensional reconstruction of highly complex microscopic samples using scanning electron microscopy and optical flow estimation. PloS one, 12(4), p.e0175078. [PLOS ONE]
Baghaie, A., Tafti, A.P., Owen, H.A., D'Souza, R.M. and Yu, Z., 2017. SD-SEM: sparse-dense correspondence for 3D reconstruction of microscopic samples. Micron, 97, pp.41-55. [ScienceDirect]


Tafti, A.P., Baghaie, A., Assefi, M., Arabnia, HR., Yu, Z., Peissig P., 2016. OCR as a Service: An Experimental Evaluation of Google Docs OCR, Tesseract, ABBYY FineReader, and Transym. International Symposium on Visual Computing, 735-746. [SpringerLink]
Ye, Z., Tafti, A.P., He, K.Y., Wang, K. and He, M.M., 2016. SparkText: Biomedical Text Mining on Big Data Framework. PLOS ONE, 11(9), p.e0162721. [PLOS ONE]
Omrani, E., Tafti, A.P., Fathi, M.F., Moghadam, A.D., Rohatgi, P., D'Souza, R.M. and Yu, Z., 2016. Tribological Study in Micro Scale Using 3D SEM Surface Reconstruction. Tribology International. [ScienceDirect]
Tafti, A.P., Holz, J.D., Baghaie, A., Owen, H.A., He, M.M. and Yu, Z., 2016. 3DSEM++: adaptive and intelligent 3D SEM surface reconstruction. Micron. [ScienceDirect]
Tafti, A.P., Baghaie, A., Kirkpatrick, A.B., Holz, J., Owen, H.A., D’Souza, R.M. and Yu, Z., 2016. A Comparative study on the application of SIFT, SURF, BRIEF and ORB for 3D surface reconstruction of electron microscopy images. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. [Taylor & Francis]
Tafti, A.P., Kirkpatrick, A.B., Holz, J.D., Owen, H.A. and Yu, Z., 2016. 3DSEM: A 3D microscopy dataset. Data in Brief, 6, pp.112-116. [ScienceDirect]


Tafti, A.P., Hassannia, H., Piziak, D. and Yu, Z., 2015. SeLibCV: A Service Library for Computer Vision Researchers. In Advances in Visual Computing (pp. 542-553). Springer International Publishing. [SpringerLink]
Zhao, M., Luo, H., Tafti, A.P., Lin, Y. and He, G., 2015. A Hybrid Real-Time Visual Tracking Using Compressive RGB-D Features. In Advances in Visual Computing (pp. 561-573). Springer International Publishing. [SpringerLink]
Tafti, A.P., Kirkpatrick, A.B., Alavi, Z., Owen, H.A. and Yu, Z., 2015. Recent advances in 3D SEM surface reconstruction. Micron, 78, pp.54-66. [ScienceDirect]
Tafti, A.P., Hassannia, H., Borji, A. and Yu, Z., 2015. Computer Vision as a Service: Towards an Easy-To-Use Platform for Computer Vision Researchers, CVPR 2015: Vision Industry and Entrepreneur Workshop (VIEW 2015) [CVF]
Tafti, A.P., Hassannia, H. and Yu, Z., 2015. siftservice. com-Turning a Computer Vision algorithm into a World Wide Web Service. arXiv preprint arXiv:1504.02840. [arXiv Pre-Print]


Tafti, A.P., Kirkpatrick, A.B., Owen, H.A. and Yu, Z., 2014. 3D Microscopy Vision Using Multiple View Geometry and Differential Evolutionary Approaches. In Advances in Visual Computing (pp. 141-152). Springer International Publishing. [SpringerLink]
Tafti, A.P. and Hassannia, H., 2014. Active Image Forgery Detection Using Cellular Automata. In Cellular Automata in Image Processing and Geometry (pp. 127-145). Springer International Publishing. [SpringerLink]


Tafti, A.P. and Maarefdoust, R., 2013. Digital Images Encryption in Spatial Domain Based on Singular Value Decomposition and Cellular Automata. International Journal of Computer Science and Information Security, 11(4), p.121. [PDF File]


Malakooti, M.V., Tafti, A.P. and Naji, H.R., 2012, May. An efficient algorithm for human cell detection in electron microscope images based on cluster analysis and vector quantization techniques. In Digital Information and Communication Technology and it's Applications (DICTAP), 2012 Second International Conference on (pp. 125-129). IEEE. [IEEE Xplore]
Malakooti, M.V., Tafti, A.P., Rohani, F. and Moghaddasifar, M.A., 2012, April. RGB digital image forgery detection using Singular Value Decomposition and One Dimensional Cellular Automata. In Computing Technology and Information Management (ICCM), 2012 8th International Conference on (Vol. 1, pp. 483-488). IEEE. [IEEE Xplore]


Tafti, A.P., Malakooti, M.V., Ashourian, M. and Janosepah, S., 2011, August. Digital image forgery detection through data embedding in spatial domain and cellular automata. In Digital Content, Multimedia Technology and its Applications (IDCTA), 2011 7th International Conference on (pp. 11-15). IEEE. [IEEE Xplore]
Tafti, A.P. and Janosepah, S., 2011. Digital images encryption in frequency domain based on DCT and one dimensional cellular automata. In Informatics Engineering and Information Science (pp. 421-427). Springer Berlin Heidelberg. [SpringerLink]
Tafti, A.P., Janosepah, S., Modiri, N., Noudeh, A.M. and Alizadeh, H., 2011. Development of a Framework for Applying ASYCUDA System with N-Tier Application Architecture. In Software Engineering and Computer Systems (pp. 533-541). Springer Berlin Heidelberg. [SpringerLink]
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