Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ozyegen, Ozan"'
Despite the high performance of neural network-based time series forecasting methods, the inherent challenge in explaining their predictions has limited their applicability in certain application areas. Due to the difficulty in identifying causal rel
Externí odkaz:
http://arxiv.org/abs/2301.02332
This study focuses on exploring the use of local interpretability methods for explaining time series clustering models. Many of the state-of-the-art clustering models are not directly explainable. To provide explanations for these clustering algorith
Externí odkaz:
http://arxiv.org/abs/2208.01152
Autor:
Jahanshahi, Hadi, Ozyegen, Ozan, Cevik, Mucahit, Bulut, Beste, Yigit, Deniz, Gonen, Fahrettin F., Başar, Ayşe
In an online shopping platform, a detailed classification of the products facilitates user navigation. It also helps online retailers keep track of the price fluctuations in a certain industry or special discounts on a specific product category. More
Externí odkaz:
http://arxiv.org/abs/2109.01084
The medical domain is often subject to information overload. The digitization of healthcare, constant updates to online medical repositories, and increasing availability of biomedical datasets make it challenging to effectively analyze the data. This
Externí odkaz:
http://arxiv.org/abs/2105.10400
Being able to interpret a machine learning model is a crucial task in many applications of machine learning. Specifically, local interpretability is important in determining why a model makes particular predictions. Despite the recent focus on AI int
Externí odkaz:
http://arxiv.org/abs/2009.09092
Autor:
Ozyegen, Ozan, Mohammadjafari, Sanaz, mokhtari, Karim El, Cevik, Mucahit, Ethier, Jonathan, Basar, Ayse
Accurate radio frequency power prediction in a geographic region is a computationally expensive part of finding the optimal transmitter location using a ray tracing software. We empirically analyze the viability of deep learning models to speed up th
Externí odkaz:
http://arxiv.org/abs/2006.09245
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Artificial Intelligence In Medicine May 2022 127
Autor:
Mohammadjafari, Sanaz1 (AUTHOR) sanaz.mohammadjafari@ryerson.ca, Ozyegen, Ozan1 (AUTHOR), Cevik, Mucahit1 (AUTHOR), Kavurmacioglu, Emir1 (AUTHOR), Ethier, Jonathan2 (AUTHOR), Basar, Ayse1 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Sep2021, Vol. 33 Issue 17, p11309-11323. 15p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.