Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Abrishami, Mahdi"'
Autor:
Abrishami, Mahdi
Vast application of ITS and the availability of numerous on-road detection devices has resulted in variety of alternative data sources to be exploited and used in the field of traffic modelling. In this thesis, historical travel times, as an alternat
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-144583
Autor:
Abrishami, Mahdi, Dadkhah, Sajjad, Pinto Neto, Euclides Carlos, Xiong, Pulei, Iqbal, Shahrear, Ray, Suprio, Ghorbani, Ali A.
Publikováno v:
2022 IEEE 19th International Conference on Smart Communities: Improving Quality of Life Using ICT, IoT and AI (HONET).
Classification is an essential and important task in Machine Learning (ML). The existence of label noise in training datasets can negatively impact the performance of supervised classification. Due to the growing interest in the data-centric AI that