no code implementations • 13 May 2024 • Karim Abbasi, Parvin Razzaghi, Amin Ghareyazi, Hamid R. Rabiee
This paper aims to integrate retrieved similar hard protein-ligand pairs in PLA prediction (i. e., task prediction step) using a semi-supervised graph convolutional network (GCN).
no code implementations • 25 Oct 2022 • Seyyed Morteza Hashemi, Parvaneh Aliniya, Parvin Razzaghi
To boost the robustness of the detection to reconstruction error, connected positive samples are created by combining the real and generated samples.
no code implementations • 23 Feb 2020 • Hadi Abdi Khojasteh, Ebrahim Ansari, Parvin Razzaghi, Akbar Karimi
This paper considers the task of matching images and sentences by learning a visual-textual embedding space for cross-modal retrieval.
no code implementations • 10 Dec 2018 • Hadi Abdi Khojasteh, Alireza Abbas Alipour, Ebrahim Ansari, Parvin Razzaghi
Nowadays, automobile manufacturers make efforts to develop ways to make cars fully safe.
no code implementations • 12 Oct 2017 • Parvin Razzaghi
where the conditional distributions over domains p(T(x)|y) remain the same and learns robust SVM classifiers for target task using both source and target data in the new representation.