Explainable Artificial Intelligence for Drug Discovery and Development -- A Comprehensive Survey

no code implementations • 21 Sep 2023 • Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, Rene Ripardo Calixto, Victor Hugo C. de Albuquerque, Mohamad Roshanzamir, Mohamed Rahouti, Senthil Kumar Jagatheesaperumal

This review article provides a comprehensive overview of the current state-of-the-art in XAI for drug discovery, including various XAI methods, their application in drug discovery, and the challenges and limitations of XAI techniques in drug discovery.

Drug Discovery Explainable artificial intelligence +1

What happens in Face during a facial expression? Using data mining techniques to analyze facial expression motion vectors

no code implementations • 12 Sep 2021 • Mohamad Roshanzamir, Roohallah Alizadehsani, Mahdi Roshanzamir, Afshin Shoeibi, Juan M. Gorriz, Abbas Khosrave, Saeid Nahavandi

Their positions and directions were exploited for automatic facial expression recognition using different data mining techniques.

Facial Expression Recognition Facial Expression Recognition (FER) +1

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

no code implementations • 13 Feb 2021 • Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir, Javad Hassannataj Joloudari, Afshin Shoeibi, Mahboobeh Jafari, Sadiq Hussain, Zahra Alizadeh Sani, Fereshteh Hasanzadeh, Fahime Khozeimeh, Abbas Khosravi, Saeid Nahavandi, Maryam Panahiazar, Assef Zare, Sheikh Mohammed Shariful Islam, U Rajendra Acharya

In this study, a fusion of convolutional neural network (CNN), support vector machine (SVM), and Sobel filter is proposed to detect COVID-19 using X-ray images.

Computed Tomography (CT) COVID-19 Diagnosis

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