Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study. - Mohammad Mahdi Bejani; Mehdi Ghatee (CoRR, 2019)

Adaptive Low-Rank Factorization to regularize shallow and deep neural networks. - Mohammad Mahdi Bejani; Mehdi Ghatee (CoRR, 2020)

Theory of adaptive SVD regularization for deep neural networks. - Mohammad Mahdi Bejani; Mehdi Ghatee (Neural Networks, 2020)

Convolutional Neural Network With Adaptive Regularization to Classify Driving Styles on Smartphones. - Mohammad Mahdi Bejani; Mehdi Ghatee (IEEE Trans. Intell. Transp. Syst., 2020)

A systematic review on overfitting control in shallow and deep neural networks. - Mohammad Mahdi Bejani; Mehdi Ghatee (Artif. Intell. Rev., 2021)

Adaptive Low-Rank Regularization with Damping Sequences to Restrict Lazy Weights in Deep Networks. - Mohammad Mahdi Bejani; Mehdi Ghatee (CoRR, 2021)

Least auxiliary loss-functions with impact growth adaptation (Laliga) for convolutional neural networks. - Mohammad Mahdi Bejani; Mehdi Ghatee (Neurocomputing, 2021)

Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning. - Pouya Parsa; Raoof Zare Moayedi; Mohammad Bornosi; Mohammad Mahdi Bejani (CoRR, 2023)

An Ensemble of Deep Clustering Models With Autoencoders to Mine Travel Patterns From Smart Card Data. - Sharon Saronian; Behnam Yousefimehr; Mehdi Ghatee; Mohammad Mahdi Bejani (IEEE Trans. Intell. Transp. Syst., 2024)