A two-stage learning method for protein-protein interaction prediction. - Amir Ahooye Atashin; Parsa Bagherzadeh; Kamaledin Ghiasi-Shirazi (CoRR, 2016)

Training LDCRF model on unsegmented sequences using Connectionist Temporal Classification. - Amir Ahooye Atashin; Kamaledin Ghiasi-Shirazi; Ahad Harati (CoRR, 2016)

SANOM results for OAEI 2017. - Majid Mohammadi 001; Amir Ahooye Atashin; Wout Hofman; Yao-Hua Tan (OM@ISWC, 2017)

Comparison of ontology alignment algorithms across single matching task via the McNemar test. - Majid Mohammadi 001; Amir Ahooye Atashin; Wout Hofman; Yao-Hua Tan (CoRR, 2017)

Comparison of Ontology Alignment Systems Across Single Matching Task Via the McNemar's Test. - Majid Mohammadi 001; Amir Ahooye Atashin; Wout Hofman; Yao-Hua Tan (ACM Trans. Knowl. Discov. Data, 2018)

SANOM Results for OAEI 2019. - Majid Mohammadi 001; Amir Ahooye Atashin; Wout Hofman; Yao-Hua Tan (OM@ISWC, 2019)

Variational Leakage: The Role of Information Complexity in Privacy Leakage. - Amir Ahooye Atashin; Behrooz Razeghi; Deniz Gündüz; Slava Voloshynovskiy (WiseML@WiSec, 2021)

An efficient projection neural network for $ ell_1$-regularized logistic regression. - Majid Mohammadi 001; Amir Ahooye Atashin; Damian A. Tamburri (CoRR, 2021)

From ℓ1 subgradient to projection: A compact neural network for ℓ1-regularized logistic regression. - Majid Mohammadi 001; Amir Ahooye Atashin; Damian A. Tamburri (Neurocomputing, 2023)

Group Membership Verification via Nonlinear Sparsifying Transform Learning. - Behrooz Razeghi; Marzieh Gheisari; Amir Ahooye Atashin; Dimche Kostadinov; Sébastien Marcel; Deniz Gündüz; Slava Voloshynovskiy (IEEE Access, 2024)