Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Can Ozbey"'
Publikováno v:
2022 3rd International Informatics and Software Engineering Conference (IISEC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d89899929fb2dd93910922ffe7641499
https://doi.org/10.1109/iisec56263.2022.9998097
https://doi.org/10.1109/iisec56263.2022.9998097
Autor:
Can Ozbey
Publikováno v:
2022 International Conference on INnovations in Intelligent SysTems and Applications (INISTA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3666e5817fde4573fcce58cb00fcd1c2
https://doi.org/10.1109/inista55318.2022.9894117
https://doi.org/10.1109/inista55318.2022.9894117
Autor:
Can Ozbey, Onur Sahil Cerit
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3af35e43f3cd8e35c7ebc0be74e852e5
https://doi.org/10.1109/siu55565.2022.9864890
https://doi.org/10.1109/siu55565.2022.9864890
Autor:
Aysegul Karcili, Can Ozbey
Publikováno v:
2021 Innovations in Intelligent Systems and Applications Conference (ASYU).
In this paper, we present an unsupervised statistical method for detecting stems given a large set of words. The idea is to find the segmentation point within a word that yields the most likely prefix-suffix pair using dynamic dual dictionaries. We i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f145aa45ef6f053a8a55900b22e1542
https://doi.org/10.1109/asyu52992.2021.9599035
https://doi.org/10.1109/asyu52992.2021.9599035
Publikováno v:
2021 Innovations in Intelligent Systems and Applications Conference (ASYU).
Domain adaptation is a well-studied field of research that aims at adapting machine learning models trained on specific source domains into different target domains. However, the case of multi-classifier systems is relatively less studied particularl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd7dcff068e63cf6974fb911563ea0f
https://doi.org/10.1109/asyu52992.2021.9599078
https://doi.org/10.1109/asyu52992.2021.9599078
Publikováno v:
2021 6th International Conference on Computer Science and Engineering (UBMK).
Nowadays, machine learning and deep learning models are used in many fields and giving promising results. Large amounts of labeled data are needed to increase the performance of these models, which become more complex and growing as technology advanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b37bbc882ebfd7e5cfed73be9228a811
https://doi.org/10.1109/ubmk52708.2021.9558925
https://doi.org/10.1109/ubmk52708.2021.9558925
Autor:
Can Ozbey, Ozge Dincsoy
Publikováno v:
SIU
In this paper, an efficient annotation scheme based on pairwise comparison is proposed in order to evaluate document ranking algorithms in information retrieval systems. With the assumption that document relevance to query expressions abides the pri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f741b4a25699000728acbb30be809680
https://doi.org/10.1109/siu49456.2020.9302078
https://doi.org/10.1109/siu49456.2020.9302078
Autor:
Can Ozbey, Ozge Dincsoy
Publikováno v:
2020 5th International Conference on Computer Science and Engineering (UBMK).
In this paper, we present a finite-state approach to efficiently decode a sequence of Rice codes. The proposed method is capable of decoding a byte stream for any Golomb parameter for unboundedly large alphabets with constant space complexity. Perfor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f3ed0816e3ff232cdd6bdc79af91040
https://doi.org/10.1109/ubmk50275.2020.9219484
https://doi.org/10.1109/ubmk50275.2020.9219484
Autor:
Can Ozbey
Publikováno v:
2020 5th International Conference on Computer Science and Engineering (UBMK).
In this paper, we present a method that reduces the decoding complexity of an entropy encoding technique, namely, combinatorial coding, in order to increase compression efficiency without suffering from intolerable decoding latency. Performance of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::924eeb5e8ce810dd6c793a6ef36bdc06
https://doi.org/10.1109/ubmk50275.2020.9219537
https://doi.org/10.1109/ubmk50275.2020.9219537
Publikováno v:
SAC
Estimating the software development effort associated with a customer request, immediately after the request has been made, is quite challenging for project managers. Studies on software effort estimation often utilize expert knowledge to build stati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cd39ef6325817362bb30ccb78e2f87d
https://doi.org/10.1145/3341105.3373898
https://doi.org/10.1145/3341105.3373898