Publications on Microsoft Gallery
[T3] D. Nakahara, S. Roychowdhury, “K-Nearest Neighbor Model”, Microsoft Azure Machine Learning Gallery, October 22, 2015. [Online] https://gallery.cortanaanalytics.com/Experiment/KNN-Model-1
[T2] V. Le, S. Roychowdhury, “Decision of Binary or Multi-class Classification”, Microsoft Azure Machine Learning Gallery, September 29, 2015. [Online] http://gallery.cortanaanalytics.com/Experiment/Decision-of-Binary-or-Multi-class-Classification-1
[T1] D. Nakahara, S. Roychowdhury, “Binary Hyper-parameter Decision”, Microsoft Azure Machine Learning Gallery, October 22, 2015. [Online] http://gallery.cortanaanalytics.com/Experiment/Binary-Hyper-parameter-Decision-1
Publications and Talks
[4][OPEN ACCESS JOURNAL]S. Roychowdhury, Matthew Bihis. “AG-MIC: Azure-based Generalized flow for Medical Image Classification”, IEEE Access, vol. 4, no. , pp. 5243-5257, 2016. doi: 10.1109/ACCESS.2016.2605641
[3] S. Roychowdhury, “Classification of Large-Scale Fundus Image Data Sets: A Cloud-Computing Framework”, IEEE 38th International Conference of Engineering in Medicine and Biology. 2016. (Accepted)
[2] Bihis, Matthew; Roychowdhury, Sohini, "A generalized flow for multi-class and binary classification tasks: An Azure ML approach," in IEEE International Conference on Big Data (Big Data), 2015 , vol., no., pp.1728-1737, Oct. 29 2015-Nov. 1 2015 doi: 10.1109/BigData.2015.7363944 Paper
[1] Matthew Bihis, Nathan Gubala, Vinh Le, Devin Nakahara, Sohini Roychowdhury. "Generalized Flow for Microsoft Azure Machine Learning Platform". Microsoft Azure Machine Learning Platform-based Research
Data Sets for Download
Description of Data sets Data Description
1. NPDR Lesion Data Set. NPDR_Lesion_Data_Set
2. Blood Vessel Image Data Set. Vessel_98
3. PDR Image data set. PDR_40