An Artificial Neural Network-based Stock Trading System Using Technical Analysis and Big Data Framework

Autor: Sezer, O. B., Ozbayoglu, M., Dogdu, E.

Publikováno v: ACM Southeast Conference, ACMSE 2017, Kennesaw State University, GA, U.S.A., 13-15 April, 2017

In this paper, a neural network-based stock price prediction and trading system using technical analysis indicators is presented. The model developed first converts the financial time series data into a series of buy-sell-hold trigger signals using t

Externí odkaz: http://arxiv.org/abs/1712.09592

Elevating healthcare through artificial intelligence: analyzing the abdominal emergencies data set (TR_ABDOMEN_RAD_EMERGENCY) at TEKNOFEST-2022.

Autor: Koç U; Department of Radiology, Ankara Bilkent City Hospital, Ankara, Türkiye. dr_uralkoc@hotmail.com., Sezer EA; Artificial Intelligence Division, Department of Computer Engineering, Hacettepe University, Ankara, Türkiye., Özkaya YA; Telemedicine and Teleradiology, Simplex IT, Inc., Ankara, Türkiye., Yarbay Y; General Directorate of Health Information Systems, Ministry of Health, Ankara, Türkiye., Beşler MS; Department of Radiology, Ankara Bilkent City Hospital, Ankara, Türkiye., Taydaş O; Department of Radiology, Faculty of Medicine, Sakarya University, Sakarya, Türkiye., Yalçın A; Department of Radiology, Faculty of Medicine, Erzurum Atatürk University, Erzurum, Türkiye., Evrimler Ş; Department of Radiology, Ankara Etlik City Hospital, Ankara, Türkiye., Kızıloğlu HA; Department of Radiology, Faculty of Medicine, GOP University, Tokat, Türkiye., Kesimal U; Department of Radiology, Ankara Training and Research Hospital, Ankara, Türkiye., Atasoy D; Department of Radiology, Sivas Numune State Hospital, Sivas, Türkiye., Oruç M; Department of Radiology, Karaman Training and Research Hospital, Karaman, Türkiye., Ertuğrul M; Department of Radiology, Ürgüp State Hospital, Nevşehir, Türkiye., Karakaş E; General Directorate of Health Information Systems, Ministry of Health, Ankara, Türkiye., Karademir F; Health Institutes of Türkiye, İstanbul, Türkiye., Sebik NB; General Directorate of Health Information Systems, Ministry of Health, Ankara, Türkiye., Topuz Y; Health Institutes of Türkiye, İstanbul, Türkiye., Aktan ME; Health Institutes of Türkiye, İstanbul, Türkiye., Sezer Ö; General Directorate of Health Information Systems, Ministry of Health, Ankara, Türkiye., Aydın Ş; General Directorate of Health Information Systems, Ministry of Health, Ankara, Türkiye., Varlı S; Health Institutes of Türkiye, İstanbul, Türkiye.; Department of Computer Engineering, Yıldız Technical University, İstanbul, Türkiye., Akdoğan E; Health Institutes of Türkiye, İstanbul, Türkiye.; Department of Mechatronics Engineering, Faculty of Mechanical Engineering, Yıldız Technical University, İstanbul, Türkiye., Ülgü MM; General Directorate of Health Information Systems, Ministry of Health, Ankara, Türkiye., Birinci Ş; Ministry of Health, Ankara, Türkiye.

Publikováno v: European radiology [Eur Radiol] 2024 Jun; Vol. 34 (6), pp. 3588-3597. Date of Electronic Publication: 2023 Nov 10.

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The use of bisphosphonates in multiple myeloma: recommendations of an expert panel on behalf of the European Myeloma Network

Autor: Terpos, E. ^*, Sezer, O., Croucher, P.I., García-Sanz, R., Boccadoro, M., San Miguel, J., Ashcroft, J., Bladé, J., Cavo, M., Delforge, M., Dimopoulos, M.-A., Facon, T., Macro, M., Waage, A., Sonneveld, P.

Publikováno v: In Annals of Oncology August 2009 20(8):1303-1317

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