Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection

Autor: Mahdavi, Atefeh, Carvalho, Marco

Publikováno v: Atefeh, M., & Marco, C. (2024). "Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection." Proceedings of the 57th Hawaii International Conference on System Sciences, 1090-1999

Machine learning-based techniques open up many opportunities and improvements to derive deeper and more practical insights from data that can help businesses make informed decisions. However, the majority of these techniques focus on the conventional

Externí odkaz: http://arxiv.org/abs/2405.05836

A Survey on Open Set Recognition

Autor: Mahdavi, Atefeh, Carvalho, Marco

Open Set Recognition (OSR) is about dealing with unknown situations that were not learned by the models during training. In this paper, we provide a survey of existing works about OSR and distinguish their respective advantages and disadvantages to h

Externí odkaz: http://arxiv.org/abs/2109.00893

Feasibility of Groundwater Resources in two Soft and Hard Formations of Shamil-Takht Watershed in Hormozgan Province in the South of Iran.

Autor: Salehi, Mahtab¹, Mahdavi, Rasool¹ ra_mahdavi2000@hormozgan.ac.ir, Rezai, Marzieh¹, Ghorbani, Mehdi², Nafarzadegan, Ali Reza¹, Mirzadeh, Ameneh¹, Mahdavi, Atefeh³, Khoorani, Asadollah⁴

Publikováno v: Desert (2008-0875). Dec2023, Vol. 28 Issue 2, p291-316. 26p.