On the Extended Hensel Construction and its Application to the Computation of Limit Points. - Parisa Alvandi; Masoud Ataei; Marc Moreno Maza (ISSAC, 2017)

Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization. - M. Reza Peyghami; Kevin Yang; Shengyuan Chen; Zijiang Yang 001; Masoud Ataei (Canadian AI, 2018)

Lehmer Transform and its Theoretical Properties. - Masoud Ataei; Shengyuan Chen; Xiaogang Wang (CoRR, 2018)

On the Extended Hensel Construction and its application to the computation of real limit points. - Parisa Alvandi; Masoud Ataei; Mahsa Kazemi; Marc Moreno Maza (J. Symb. Comput., 2020)

Time-homogeneous top-K ranking using tensor decompositions. - Masoud Ataei; Shengyuan Chen; Zijiang Yang 001; M. Reza Peyghami (Optim. Methods Softw., 2020)

Omobot: a low-cost mobile robot for autonomous search and fall detection. - Shihab Uddin Ahamad; Masoud Ataei; Vijay K. Devabhaktuni; Vikas Dhiman (AIM, 2024)

DADEE: Well-calibrated uncertainty quantification in neural networks for barriers-based robot safety. - Masoud Ataei; Vikas Dhiman (CoRR, 2024)

Derangetropy in Probability Distributions and Information Dynamics. - Masoud Ataei; Xiaogang Wang (CoRR, 2024)

DAREK - Distance Aware Error for Kolmogorov Networks. - Masoud Ataei; Mohammad Javad Khojasteh; Vikas Dhiman (ICASSP, 2025)

Efficient and Interpretable Neural Networks Using Complex Lehmer Transform. - Masoud Ataei; Xiaogang Wang (CoRR, 2025)

Mathematical Programming Models for Exact and Interpretable Formulation of Neural Networks. - Masoud Ataei; Edrin Hasaj; Jacob Gipp; Sepideh Forouzi (CoRR, 2025)

Generalized Derangetropy Functionals for Modeling Cyclical Information Flow. - Masoud Ataei; Xiaogang Wang (CoRR, 2025)

Modeling Regime Structure and Informational Drivers of Stock Market Volatility via the Financial Chaos Index. - Masoud Ataei (CoRR, 2025)