Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Can Kavaklioglu"'
Autor:
Can Kavaklioglu, H. Levent Akin
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 6 (2009)
Autonomous robots can initiate their mission plans only after gathering sufficient information about the environment. Therefore reliable perception information plays a major role in the overall success of an autonomous robot. The Hidden Markov Model
Externí odkaz:
https://doaj.org/article/3a2e2ef8e03548d6b05fe383c3bd9a67
Machine learning classification of multiple sclerosis in children using optical coherence tomography
Autor:
Beyza Ciftci Kavaklioglu, Lauren Erdman, Anna Goldenberg, Can Kavaklioglu, Cara Alexander, Hannah M Oppermann, Amish Patel, Soaad Hossain, Tara Berenbaum, Olivia Yau, Carmen Yea, Mina Ly, Fiona Costello, Jean K Mah, Arun Reginald, Brenda Banwell, Giulia Longoni, E Ann Yeh
Publikováno v:
Multiple sclerosis (Houndmills, Basingstoke, England). 28(14)
Background: In children, multiple sclerosis (MS) is the ultimate diagnosis in only 1/5 to 1/3 of cases after a first episode of central nervous system (CNS) demyelination. As the visual pathway is frequently affected in MS and other CNS demyelinating
Autor:
Can Kavaklioglu, Mucahit Cevik
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Autor:
Martin Petitclerc, Can Kavaklioglu, Graham J. Wills, Ayse Basar, Parisa Lak, Mucahit Cevik, Aysun Bozanta
Publikováno v:
Expert Systems. 39
Autor:
Aysun Bozanta, Mucahit Cevik, Can Kavaklioglu, Eray M. Kavuk, Ayse Tosun, Sibel B. Sonuc, Alper Duranel, Ayse Basar
Publikováno v:
Computers & Industrial Engineering. 164:107871
Publikováno v:
IEEE BigData
Sentiment analysis of financial news and social media messages along with movement of stock prices could aid in improving the forecasting accuracy of stock prices. In this regard, we aim to perform sentiment analysis of a financial microblog, namely,
Publikováno v:
2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML).
Natural Language Processing (NLP) has gained attention in the recent years. Previous research (such as WordNet and Cyc) has focused on developing an all purpose (generalised) polarised lexicons. However, these lexicons do not provide much information
Publikováno v:
IEEE BigData
In this study, filtered network approaches such as Minimum Spanning Tree and Planar Maximally Filtered Graphs, are used to analyse the topological structure of constituents of S&P Toronto Stock Exchange Composite Index for a period of three years fro
Publikováno v:
IEEE BigData
Complex dynamics of stock market could be attributed to various factors ranging from company’s financial ratios to investors’ sentiment and reaction to Financial news. The paper aims to classify Financial news articles as "hot" (significant) and
Publikováno v:
Journal of Systems and Software. 163:110518
Bug repositories are dynamic in nature and as new bugs arrive, the old ones are closed. In a typical software project, bugs and their dependencies are reported manually and gradually using a issue tracking system. Thus, not all of the bugs in the sys