Meta-heuristic for non-homogeneous peak density spaces and implementation on 2 real-world parameter learning/tuning applications. - Mojtaba Moattari; Emad Roshandel; Shima Kamyab; Zohreh Azimifar (CoRR, 2019)

Empowering swarm-based optimizers by multi-scale search to enhance Gradient Descent initialization performance. - Mojtaba Moattari; Mohammad Hassan Moradi 001; Reza Boostani (CoRR, 2019)

Uncertainty Principle based optimization; new metaheuristics framework. - Mojtaba Moattari; Mohammad Hassan Moradi 001; Emad Roshandel (CoRR, 2020)

Predicting the Length of Stay of Patients in Hospitals. - Zhiwei Fu; Xinran Gu; Jia Fu; Mojtaba Moattari; Farhana H. Zulkernine (BIBM, 2021)

FireWarn: Fire Hazards Detection Using Deep Learning Models. - Isaac Hogan; Donghao Qiao; Ruikang Luo; Mojtaba Moattari; Austin Carthy; Farhana H. Zulkernine; François Rivest; Mélanie Breton (CogMI, 2021)

ProjB: An Improved Bilinear Biased ProjE model for Knowledge Graph Completion. - Mojtaba Moattari; Sahar Vahdati; Farhana H. Zulkernine (CoRR, 2022)

SPaDe: A Synonym-based Pain-level Detection Tool for Osteoarthritis. - Yuhao Chen; Boqun Shu; Mojtaba Moattari; Farhana H. Zulkernine; John A. Queenan; David Barber (ICDH, 2023)

A Study on Variants of Conventional, Fuzzy, and Nullspace-Based Independence Criteria for Improving Supervised and Unsupervised Learning. - Mojtaba Moattari (CoRR, 2025)