Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Firat Ismailoglu"'
Autor:
Firat Ismailoglu
Publikováno v:
Neural Computing and Applications. 35:9931-9945
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45b6da1bf39c766e28afa8348a39e183
https://doi.org/10.1007/s00521-023-08299-1
https://doi.org/10.1007/s00521-023-08299-1
Autor:
Firat Ismailoglu
Publikováno v:
Turkish Journal of Electrical Engineering and Computer Sciences. 31:216-237
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1845b5e99d70efdb1d14e779ff9a6437
https://doi.org/10.55730/1300-0632.3980
https://doi.org/10.55730/1300-0632.3980
Autor:
Hilal Zengin, Firat Ismailoglu
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a8f3d3ba41c3d2eb537571dcb798353
https://doi.org/10.1109/siu55565.2022.9864724
https://doi.org/10.1109/siu55565.2022.9864724
Publikováno v:
Journal of Neural Transmission. 127:1675-1684
In this study, we aimed to investigate the effects of agmatine, nitric oxide (NO), arginine, and glutamate, which are the metabolites in the polyamine pathway, on the performance of executive functions (EF) in attention deficit hyperactivity disorder
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ca1489b23a167482d973bd1a0a4eda8
https://doi.org/10.1007/s00702-020-02261-4
https://doi.org/10.1007/s00702-020-02261-4
Autor:
Firat Ismailoglu
Publikováno v:
2021 3rd International Conference on Pattern Recognition and Intelligent Systems.
Context-Aware Recommender Systems (CARS) refer to recommender systems that can incorporate side information regarding to users, items and ratings. In the present study, we are concerned with CARS, where the side information is provided in the form of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::003097da9a4bc6f261d5e4175df31ef9
https://doi.org/10.1145/3480651.3480695
https://doi.org/10.1145/3480651.3480695
Autor:
Tolga Yuksel, Firat Ismailoglu
Publikováno v:
SIU
The key aspect in cancer treatment is to predict the subclass of the cancer accurately. To this aim, making use of the microarray gen data collected from cancerous tissues has been increasingly popular recently. In the present study, to predict the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d97124a6d93425adb1b5efe74560234
https://doi.org/10.1109/siu53274.2021.9477942
https://doi.org/10.1109/siu53274.2021.9477942
Autor:
Firat Ismailoglu
Publikováno v:
Decision Support Systems. 152:113663
We present that group recommendations are similar to crowdsourcing, where the responses of different crowd workers are aggregated in the absence of ground truth. With this in mind, we mimic the use of the EM algorithm as in crowdsourcing to aggregate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73059da569f424aaebf85380e5eb21fa
https://doi.org/10.1016/j.dss.2021.113663
https://doi.org/10.1016/j.dss.2021.113663
Autor:
Catherine Butchart, Firat Ismailoglu, Claire J Lunt, Roy L. Soiza, Victor J. Rayward-Smith, Phyo K. Myint, Yogish Pai, Patrick Musonda
Publikováno v:
Archives of Gerontology and Geriatrics, 56(1), 188-191. Elsevier Ireland Ltd
Current demographic trends suggest that there will be increasing numbers of older people in the future. Relatively little information is available regarding factors which influence mortality in the acutely unwell oldest old. This study uses the CART
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab584060b48bd0af3a9f33f295e8b12e
https://doi.org/10.1016/j.archger.2012.07.005
https://doi.org/10.1016/j.archger.2012.07.005
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(1), 347-353. IEEE
Increasingly, multiple parallel omics datasets are collected from biological samples. Integrating these datasets for classification is an open area of research. Additionally, whilst multiple datasets may be available for the training samples, future
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07b7f1ef75557274026ccedd9043da83
https://doi.org/10.1109/tcbb.2018.2877755
https://doi.org/10.1109/tcbb.2018.2877755
Publikováno v:
Multiple Classifier Systems ISBN: 9783319202471
MCS
MCS
This paper proposes instance decomposition schemes (IDSs) for mapping multi-class classification tasks into a series of binary classification tasks. It demonstrates theoretically that IDSs can handle two main problems of the class decomposition schem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e4d3b557d4c7019aedd8b6c7ac26bc
https://doi.org/10.1007/978-3-319-20248-8_5
https://doi.org/10.1007/978-3-319-20248-8_5
