Zobrazeno 1 - 10
of 14
pro vyhledávání: '"M. Serdar Yümlü"'
Autor:
Filareti Tsalakanidou, Yiannis Kompatsiaris, Katerina Valta, Eleni Ntzioni, Yiannis Pragidis, Paris-Alexandros Karypidis, Chandan Kumar, Jun Sun, Panos Kostakos, Marta Cortés, Philip Leroux, M. Serdar Yümlü, Bahadır Keleş, Aleksandra Kuczerawy, Pierre Dewitte, Ahmed Khalid, Thuy Truong, Kieran Thornton, Konstantinos Doudouliakis, Sophia Karkaletsi, Salih Sandal, Berrak Çiçekliyurt, Laura Tavernier, Darragh O'Suilleabhain, Francesca Lombardo
This deliverable is the final update of D11.2 (Data management plan). In addition to the datasets presented in D11.2, this document also includes the datasets used for the new pilot of Vicenza as well as several new datasets that have been used in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c6ac85af91cb4ca88c4e76514c38c6e
Autor:
Gilman, Ekaterina, Kostakos, Panos, Cortés, Marta, Mehmood, Hassan, Riekki, Jukka, Byrne, Andrew, Valta, Katerina, Tekes, Stavros, Kumar, Chandan, Sun, Jun, Staab, Steffen, Pragidis, Ioannis, Tsintzos, Panagiotis, Geronikolaou, Georgios, Filareti Tsalakanidou, Chantas, Ioannis, Papastergios, Georgios, Tzoumaka, Paraskevi, Kelessis, Apostolos, Papafilis, Petros, Christantonis Charistes, Kontos, Vasileios, Mimilidis, Manolis, Chatzis, Charalampos, Doudouliakis, Konstantinos, Yiannis Kompatsiaris, Erkazancı, Alperen, Özkan, Hafize İlhan, M. Serdar Yümlü, Gültekin, Habib, Tosunoğlu, Caner, Beeckman, Rebecca, Looveren, Ronny Van, Leroux, Philip, O'Suilleabhain, Darragh, Daly, Maire, Walsh, Elaine, O'Reilly, Anthony, Thornton, Kieran, O'Brien, Noreen
This report delivers the first version of the CUTLER data collection and pre-processing framework. It describes architectural and software solutions developed so far. Namely, it: i) describes the data sources utilized in the first version of the fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1024e5ed83f6686d8ffdb78047e766a
Autor:
Ekaterina Gilman, Panos Kostakos, Marta Cortés, Hassan Mehmood, Jukka Riekki, Andrew Byrne, Katerina Valta, Stavros Tekes, Chandan Kumar, Jun Sun, Steffen Staab, Ioannis Pragidis, Panagiotis Tsintzos, Georgios Geronikolaou, Filareti Tsalakanidou, Ioannis Chantas, Georgios Papastergios, Paraskevi Tzoumaka, Apostolos Kelessis, Petros Papafilis, Christantonis Charistes, Vasileios Kontos, Manolis Mimilidis, Charalampos Chatzis, Konstantinos Doudouliakis, Yiannis Kompatsiaris, Alperen Erkazancı, Hafize İlhan Özkan, M. Serdar Yümlü, Habib Gültekin, Caner Tosunoğlu, Rebecca Beeckman, Ronny Van Looveren, Philip Leroux, Darragh O'Suilleabhain, Maire Daly, Elaine Walsh, Anthony O'Reilly, Kieran Thornton, Noreen O'Brien
This report delivers the first version of the CUTLER data collection and pre-processing framework. It describes architectural and software solutions developed so far. Namely, it: i) describes the data sources utilized in the first version of the fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15505db21bb8012ebd6b8a55483b7cf7
Autor:
Filareti Tsalakanidou, Ekaterina Gilman, Panos Kostakos, Andrew Byrne, Spiros Nikolopoulos, Sotiris Diplaris, Yiannis Kompatsiaris, Marta Cortés, Katerina Valta, Stavros Tekes, Chandan Kumar, Jun Sun, Steffen Staab, Ioannis Pragidis, Panagiotis Tsintzos, Georgios Geronikolaou, Apostolos Kelessis, Paraskevi Tzoumaka, Manolis Mimilidis, Christantonis Charistes, Alperen Erkazancı, Hafize İlhan Özkan, M. Serdar Yümlü, Habib Gültekin, İbrahim Acar, Cihat Yiğit, Caner Tosunoğlu, Yasemin Kaya, Rebecca Beeckman, Ronny Van Looveren, Philip Leroux, Darragh O'Suilleabhain, Maire Daly, Elaine Walsh, Kieran Thornton, Noreen O'Brien
This report summarizes the functional requirements for all WP3 tasks, in terms of: (i) data sources that will be collected in the context of CUTLER pilots, (ii) data cleaning methodologies, collection and harmonization mechanisms; (iii) data types an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d80e13b80dffdddffab5284e6e523c28
Autor:
Gilman, Ekaterina, Kostakos, Panos, Cortés, Marta, Mehmood, Hassan, Riekki, Jukka, Byrne, Andrew, Valta, Katerina, Tekes, Stavros, Dewitte, Pierre, Kuczerawy, Aleksandra, Kumar, Chandan, Sun, Jun, Staab, Steffen, Pragidis, Ioannis, Tsintzos, Panagiotis, Geronikolaou, Georgios, Chantas, Ioannis, Yiannis Kompatsiaris, Papastergios, Georgios, Tzoumaka, Paraskevi, Kelessis, Apostolos, Papafilis, Petros, Christantonis Charistes, Kontos, Vasileios, Mimilidis, Manolis, Chatzis, Charalampos, Doudouliakis, Konstantinos, Sandal, Salih, Ozlem Alpaslan, M. Serdar Yümlü, İbrahim Acar, Tosunoğlu, Caner, Beeckman, Rebecca, Looveren, Ronny Van, Leroux, Philip, O'Suilleabhain, Darragh, Daly, Maire, Walsh, Elaine, O'Reilly, Anthony, Thornton, Kieran, O'Brien, Noreen
This report elaborates further on the output of D3.2 and integrates solutions developed so far into the actual cloud infrastructure of CUTLER platform. Namely, it: i) provides an update on the data sources used for the pilots; moreover an assessment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ec3c07e98b0c022cc17ae90cfe42869
Autor:
Filareti Tsalakanidou, Spiros Nikolopoulos, Sotiris Diplaris, Yiannis Kompatsiaris, Andrew Byrne, Fiach O'Donnell, Niamh O'Mahony, Manolis Mimilidis, Charalambos Chatzis, Hafize İlhan Özkan, Rebecca Beeckman, Darragh O'Suilleabhain, M. Serdar Yümlü, Habib Gültekin, Eser Karakaya, İbrahim Acar, Astrid Philippron, Philip Leroux, Kieran Thornton, Noreen O'Brien
This document presents the results of the user requirements collection and analysis process and summarizes the elicited system requirements for the CUTLER privacy preserving cloud infrastructure. It includes a short presentation of the basics of avai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56f2b81031d405830d7753d7968e5346
Publikováno v:
Digital Signal Processing. 40:198-212
This paper proposes a combined state and piecewise time-varying parameter learning technique in regime switching volatility models using multiple changepoint detection. This approach is a Sequential Monte Carlo method for estimating GARCH & EGARCH ba
Publikováno v:
Artificial Intelligence and Applications / 794: Modelling, Identification and Control / 795: Parallel and Distributed Computing and Networks / 796: Software Engineering / 792: Web-based Education.
This paper provides a solution for the multiple changepoint detection problems in financial time series prediction without knowing the number and location of changepoints. The proposed approach is a Sequential Monte Carlo (SMC) method for estimating
Autor:
M. Serdar Yümlü, Fikret Gürgen
Publikováno v:
Artificial Intelligence and Applications / 718: Modelling, Identification, and Control.
Publikováno v:
Computer and Information Sciences-ISCIS 2003 ISBN: 9783540204091
ISCIS
ISCIS
This paper investigates the use of artificial neural networks (ANN) in risk estimation of asset returns. Istanbul Stock Exchange (ISE) index (XU100) is studied with a mixture of experts ANN architecture using daily data over a 12-year period. Results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::263ec2e43524b7ad12a9deba207e7537
https://doi.org/10.1007/978-3-540-39737-3_69
https://doi.org/10.1007/978-3-540-39737-3_69