no code implementations • 21 Jan 2024 • Will Taylor-Melanson, Zahra Sadeghi, Stan Matwin
We exploit the Morpho-MNIST causal dataset as a case study for exploring our proposed methods for generating counterfacutl explantions.
no code implementations • 4 Apr 2023 • Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci, Samina Kausar, Rizwan Rehman, Priyakshi Mahanta, Pranjal Kumar Bora, Ammar Almasri, Rami S. Alkhawaldeh, Sadiq Hussain, Bilal Alatas, Afshin Shoeibi, Hossein Moosaei, Milan Hladik, Saeid Nahavandi, Panos M. Pardalos
This paper presents a systematic review of XAI aspects and challenges in the healthcare domain.
no code implementations • 2 Mar 2023 • Noah Barrett, Zahra Sadeghi, Stan Matwin
We also compare optimal SSL solutions found by our evolutionary search mechanism and show the effect of batch size in the pretext task on two visual datasets.
no code implementations • 17 Jul 2020 • Zahra Sadeghi
This study is concerned with the top-down visual processing benefit in the task of occluded object recognition.
no code implementations • 7 May 2020 • Nantheera Anantrasirichai, Juliet Biggs, Krisztina Kelevitz, Zahra Sadeghi, Tim Wright, James Thompson, Alin Achim, David Bull
The large volumes of Sentinel-1 data produced over Europe are being used to develop pan-national ground motion services.
no code implementations • 25 Jan 2019 • Zahra Sadeghi
It has been well accepted that general information about concepts are more robust to damages related to semantic memory.
no code implementations • 31 Oct 2018 • Zahra Sadeghi
In this paper, convolutional layers of pre-trained VGG16 model are analyzed.