Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Riadh Ksantini"'
Publikováno v:
IEEE Transactions on Engineering Management. 70:1912-1922
Urban solid waste (USW) is a major environmental problem for all countries. The rapid acceleration of economic growth, industrialization, urbanization, and population growth is correlated with the production of solid waste. Solid waste is usually dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6524c1e34e16a0d324d9e5fce7923742
https://doi.org/10.1109/tem.2021.3081609
https://doi.org/10.1109/tem.2021.3081609
Publikováno v:
International Journal of Applied Decision Sciences. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::810959941d0f4b86807bf56c1404ec65
https://doi.org/10.1504/ijads.2024.10055796
https://doi.org/10.1504/ijads.2024.10055796
Publikováno v:
Neural Computing and Applications. 34:17087-17105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::585dbccebb43266a63781cde2441b395
https://doi.org/10.1007/s00521-022-07359-2
https://doi.org/10.1007/s00521-022-07359-2
In one-class classification, the low variance directions in the training data carry crucial information to build a good model of the target class. Boundary-based methods like One-Class Support Vector Machine (OSVM) preferentially separates the data f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06bbcb4f150c80e2191dd894c9843022
https://doi.org/10.32920/22734704
https://doi.org/10.32920/22734704
Support vector machine (SVM) is a powerful classification methodology, where the support vectors fully describe the decision surface by incorporating local information. On the other hand, nonparametric discriminant analysis (NDA) is an improvement ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05df62dc4d19b0041570735a67e0bdab
https://doi.org/10.32920/22734722
https://doi.org/10.32920/22734722
Publikováno v:
Multimedia Tools and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b12fea7983b19f50b9edbf6084bab9bf
https://doi.org/10.1007/s11042-023-14788-1
https://doi.org/10.1007/s11042-023-14788-1
Publikováno v:
Procedia Computer Science. 196:692-698
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4587e40e5c06ed38db66362072315cc7
https://doi.org/10.1016/j.procs.2021.12.065
https://doi.org/10.1016/j.procs.2021.12.065
Publikováno v:
Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a750e9cb12a7a0ebd3e5f6088ee2823
https://doi.org/10.5220/0011638500003417
https://doi.org/10.5220/0011638500003417
Publikováno v:
Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) ISBN: 9781611977653
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67ed5ba2aeffeb333ff71fe2f925a175
https://doi.org/10.1137/1.9781611977653.ch12
https://doi.org/10.1137/1.9781611977653.ch12
Publikováno v:
2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b286df1bdf0c7f46758c6492ba7fb77
https://doi.org/10.1109/bigmm55396.2022.00018
https://doi.org/10.1109/bigmm55396.2022.00018