Graph-based concept discovery

2018-04-01
Mutlu, Alev
Karagöz, Pınar
Kavurucu, Yusuf

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Deep learning-based approaches have shown highly successful performance in the categorization of digitized biopsy samples. The commonly used setting in these approaches is to employ convolutional neural networks for classification of data sets consisting of images all having the same size. However, the clinical practice in breast histopathology necessitates multi-class categorization of regions of interest (ROI) in biopsy samples where these regions can have arbitrary shapes and sizes. The typical solution ...
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The wireless channel is not only susceptible to noise and interference but also other channel impediments like multipath spread, Doppler spread, Doppler shift, and these impediments may change over time. Iterative receiver structures are commonly studied and utilized as they can be very effective in mitigating detrimental effects of the wireless channel. Iterative detection that performs decoding and estimation jointly can be realized in various ways. However, some methods depend on the memory of the channe...
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This paper reports results from a written assessment given to 290 third-, fourth-, and fifth-grade students prior to any instructional intervention. We share and discuss students' responses to items addressing their understanding of equation structure and the meaning of the equal sign. We found that many students held an operational conception of the equal sign and had difficulty recognizing underlying structure in arithmetic equations. Some students, however, were able to recognize underlying structure on ...
Citation Formats
A. Mutlu, P. Karagöz, and Y. Kavurucu, Graph-based concept discovery. 2018, p. 1983.