ARCOQ: Arabic Closest Opposite Questions Dataset

1 code implementation • 22 Oct 2023 • Sandra Rizkallah, Amir F. Atiya, Samir Shaheen

This paper presents a dataset for closest opposite questions in Arabic language.

Partial Resampling of Imbalanced Data

no code implementations • 11 Jul 2022 • Firuz Kamalov, Amir F. Atiya, Dina Elreedy

Imbalanced data is a frequently encountered problem in machine learning.

Handling of uncertainty in medical data using machine learning and probability theory techniques: A review of 30 years (1991-2020)

no code implementations • 23 Aug 2020 • Roohallah Alizadehsani, Mohamad Roshanzamir, Sadiq Hussain, Abbas Khosravi, Afsaneh Koohestani, Mohammad Hossein Zangooei, Moloud Abdar, Adham Beykikhoshk, Afshin Shoeibi, Assef Zare, Maryam Panahiazar, Saeid Nahavandi, Dipti Srinivasan, Amir F. Atiya, U. Rajendra Acharya

We have little knowledge about the optimal treatment methods as there are many sources of uncertainty in medical science.

BIG-bench Machine Learning Decision Making

SpinalNet: Deep Neural Network with Gradual Input

3 code implementations • arXiv 2020 • H M Dipu Kabir, Moloud Abdar, Seyed Mohammad Jafar Jalali, Abbas Khosravi, Amir F. Atiya, Saeid Nahavandi, Dipti Srinivasan

Traditional learning with ImageNet pre-trained initial weights and SpinalNet classification layers provided the SOTA performance on STL-10, Fruits 360, Bird225, and Caltech-101 datasets.

Fine-Grained Image Classification Satellite Image Classification +1

Epileptic Seizures Detection Using Deep Learning Techniques: A Review

no code implementations • 2 Jul 2020 • Afshin Shoeibi, Marjane Khodatars, Navid Ghassemi, Mahboobeh Jafari, Parisa Moridian, Roohallah Alizadehsani, Maryam Panahiazar, Fahime Khozeimeh, Assef Zare, Hossein Hosseini-Nejad, Abbas Khosravi, Amir F. Atiya, Diba Aminshahidi, Sadiq Hussain, Modjtaba Rouhani, Saeid Nahavandi, Udyavara Rajendra Acharya

The important challenges in accurate detection of automated epileptic seizures using DL with EEG and MRI modalities are discussed.

Cloud Computing EEG +1

A New Monte Carlo Based Algorithm for the Gaussian Process Classification Problem

no code implementations • 28 Feb 2013 • Amir F. Atiya, Hatem A. Fayed, Ahmed H. Abdel-Gawad

Gaussian process is a very promising novel technology that has been applied to both the regression problem and the classification problem.

General Classification regression