Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Atiya, Amir"'
This paper presents a dataset for closest opposite questions in Arabic language. The dataset is the first of its kind for the Arabic language. It is beneficial for the assessment of systems on the aspect of antonymy detection. The structure is simila
Externí odkaz:
http://arxiv.org/abs/2310.14384
Imbalanced data is a frequently encountered problem in machine learning. Despite a vast amount of literature on sampling techniques for imbalanced data, there is a limited number of studies that address the issue of the optimal sampling ratio. In thi
Externí odkaz:
http://arxiv.org/abs/2207.04631
Autor:
Kamalov, Firuz1, Atiya, Amir F.2 amir@alumni.caltech.edu
Publikováno v:
Advanced Mathematical Models & Applications. 2024, Vol. 9 Issue 3, p342-359. 18p.
Autor:
Alizadehsani, Roohallah, Roshanzamir, Mohamad, Hussain, Sadiq, Khosravi, Abbas, Koohestani, Afsaneh, Zangooei, Mohammad Hossein, Abdar, Moloud, Beykikhoshk, Adham, Shoeibi, Afshin, Zare, Assef, Panahiazar, Maryam, Nahavandi, Saeid, Srinivasan, Dipti, Atiya, Amir F., Acharya, U. Rajendra
Understanding data and reaching valid conclusions are of paramount importance in the present era of big data. Machine learning and probability theory methods have widespread application for this purpose in different fields. One critically important y
Externí odkaz:
http://arxiv.org/abs/2008.10114
Autor:
Kabir, H M Dipu, Abdar, Moloud, Jalali, Seyed Mohammad Jafar, Khosravi, Abbas, Atiya, Amir F, Nahavandi, Saeid, Srinivasan, Dipti
Publikováno v:
IEEE Transactions on Artificial Intelligence, 2023
Deep neural networks (DNNs) have achieved the state of the art performance in numerous fields. However, DNNs need high computation times, and people always expect better performance in a lower computation. Therefore, we study the human somatosensory
Externí odkaz:
http://arxiv.org/abs/2007.03347
Autor:
Shoeibi, Afshin, Khodatars, Marjane, Ghassemi, Navid, Jafari, Mahboobeh, Moridian, Parisa, Alizadehsani, Roohallah, Panahiazar, Maryam, Khozeimeh, Fahime, Zare, Assef, Hosseini-Nejad, Hossein, Khosravi, Abbas, Atiya, Amir F., Aminshahidi, Diba, Hussain, Sadiq, Rouhani, Modjtaba, Nahavandi, Saeid, Acharya, Udyavara Rajendra
Publikováno v:
International Journal of Environmental Research and Public Health. 2021; 18(11):5780
A variety of screening approaches have been proposed to diagnose epileptic seizures, using electroencephalography (EEG) and magnetic resonance imaging (MRI) modalities. Artificial intelligence encompasses a variety of areas, and one of its branches i
Externí odkaz:
http://arxiv.org/abs/2007.01276
Autor:
Fayed, Hatem A., Atiya, Amir F.
Publikováno v:
In Applied Soft Computing Journal October 2021 110
Autor:
Alizadehsani, Roohallah, Roshanzamir, Mohamad, Hussain, Sadiq, Khosravi, Abbas, Koohestani, Afsaneh, Zangooei, Mohammad Hossein, Abdar, Moloud, Beykikhoshk, Adham, Shoeibi, Afshin, Zare, Assef, Panahiazar, Maryam, Nahavandi, Saeid, Srinivasan, Dipti, Atiya, Amir F., Acharya, U. Rajendra
Publikováno v:
Annals of Operations Research; Aug2024, Vol. 339 Issue 3, p1077-1118, 42p
Publikováno v:
Machine Learning; Jul2024, Vol. 113 Issue 7, p4903-4923, 21p
We introduce LABR, the largest sentiment analysis dataset to-date for the Arabic language. It consists of over 63,000 book reviews, each rated on a scale of 1 to 5 stars. We investigate the properties of the dataset, and present its statistics. We ex
Externí odkaz:
http://arxiv.org/abs/1411.6718