Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation

Date

2022-07-17

Author

Polat, Görkem
Ergenç, İlkay
Kani, Haluk Tarık
Özen Alahdab, Yeşim
Atuğ, Özlen
Temizel, Alptekin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

137
views

0
downloads

URI

https://hdl.handle.net/11511/97541

Conference Name

26th UK Conference on Medical Image Understanding and Analysis

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

Class number of (v, n, M)-extensions Alkam, O; Bilhan, M (Cambridge University Press (CUP), 2001-02-01) An analogue of cyclotomic number fields for function fields over the finite held F-q was investigated by L. Carlitz in 1935 and has been studied recently by D. Hayes, M. Rosen, S. Galovich and others. For each nonzero polynomial M in F-q[T], we denote by k(Lambda (M)) the cyclotomic function field associated with M, where k = F-q(T). Replacing T by 1/T in k and considering the cyclotomic function held F-upsilon that corresponds to (1/T)(upsilon +1) gets us an extension of k, denoted by L-upsilon, which is t...
Class number of (v,n,M)-extensions. Alkam, Osama; Bilhan, Mehpare; Department of Mathematics (1993)
Parameter estimators in phase I and performance of individuals chart Atalay, Murat; Duran, Serhan; Testik, Murat Caner; Department of Industrial Engineering (2016) In the literature, Phase I analysis is often ignored and in-control process parameters are assumed as known. However process parameters are generally unknown in real control chart applications and these must be estimated from the obtained process data. Since Phase I analysis may have considerable impacts on the process monitoring performance in Phase II, effects of Phase I analysis on the Phase II performance must be investigated in detail. In this thesis, Shewhart type control charts are used to detect out...
Weighted k-Nearest Neighbor Adaptations to Spare Part Prediction Business Scenario at SAP System Esgin, Eren (SCITEPRESS; 2020-2-24) In the context of intelligent maintenance, spare part prediction business scenario seeks promising return-on-investment (ROI) by radically diminishing the hidden costs at after-sales customer services. However, the classification of class-imbalanced data with mixed type features at this business scenario is not straightforward. This paper proposes a hybrid classification model that combines C4.5, Apriori algorithms and weighted k-Nearest Neighbor (kNN) adaptations to overcome potential shortcomings observed...
CLASS IMBALANCE AND ACTIVE LEARNING Attenberg, Josh; Ertekin Bolelli, Şeyda (2013-01-01) The performance of a predictive model is tightly coupled with the data used during training. While using more examples in the training will often result in a better informed, more accurate model; limits on computer memory and real-world costs associated with gathering labeled examples often constrain the amount of data that can be used for training. In settings where the number of training examples is limited, it often becomes meaningful to carefully see just which examples are selected. In active learning ...

Citation Formats

G. Polat, İ. Ergenç, H. T. Kani, Y. Özen Alahdab, Ö. Atuğ, and A. Temizel, “Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation,” presented at the 26th UK Conference on Medical Image Understanding and Analysis, Cambridge, İngiltere, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/97541.