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Theory of Adaptive SVD Regularization for Deep Neural Networks

Mohammad Mahdi Bejani, and Mehdi Ghatee have written a paper entitled as “Theory of Adaptive SVD Regularization for Deep Neural Networks”. This paper has been published in Neural Networks, 2020. The abstract of this paper is as the following: Deep networks can learn complex problems, however, they suffer from overfitting….

Adaptive Neural Tree Exploiting Expert Nodes to Classify High-Dimensional Data

Shadi Abpeykar, Mehdi Ghatee, Gian Luca Foresti, and Christian Micheloni have written a paper entitled as “Adaptive Neural Tree Exploiting Expert Nodes to Classify High-Dimensional Data”. This paper has been published in Neural Network, 2020. The abstract of this paper is as the following: ReClassification of high dimensional data suffers…

Optimization Techniques in Intelligent Transportation Systems

Dr. Mehdi Ghatee has written a chapter book entitled as “Optimization Techniques in Intelligent Transportation Systems” that has been submitted to be published into the book “Metaheuristics and Optimization in Computer and Electrical Engineering” by Springer Publisher. To see the abstract of this chapter and the table of contents, see…

Overfitting Control in Shallow and Deep Neural Networks: A Systematic Review

This paper is written by Mohammad Mahdi Bejani and Mehdi Ghatee and has been submitted to Artificial Intelligence Review. The abstract of this paper is as the following: Shallow models are referred to some machine learning algorithms that learn the relations between data based on the extracted features by others,…

Smartphone-based Systems for Driving Evaluation

Dr. Mehdi Ghatee has written a chapter book entitled as “Smartphone-Based Systems for Driving Evaluation” that has been published into the book ” Smartphones: Recent Innovations and Applications”, by Nova Science Publishers, Inc, NY, 11788 USA. To see the abstract of this chapter and the table of contents, see Chapter…

Book Title: Smartphones: Recent Innovations and Applications

(2019) Nova Science Publishers, Inc. NY, 11788 USA. By Paolo Dabove, (Editor) ISBN: 978-1-53615-830-4 Chapter 5. Smartphone-Based Systems for Driving Evaluation This chapter written by Dr. Mehdi Ghatee, Department of Computer Science, Amirkabir University of Technology, Tehran, Iran. The abstract of this chapter is as the following: Smartphones play important…

Extreme Learning Machine: In Deep Networks and Neural Trees

Extreme Learning Machine in our new study is used to classify the extracted features by deep network (Convolutional Neural Network) as well as the rapid classification in the neural tree structure. In one of the recent our paper [ Pashaei, Ali, Mehdi Ghatee, and Hedieh Sajedi. “Convolution neural network joint…

Neural Trees with Peer-to-Peer and Server-to-Client Knowledge Transferring Models for High-dimensional Data Classification

Neural Trees with Peer-to-Peer and Server-to-Client Knowledge Transferring Models for High-dimensional Data Classification, By Shadi Abpeykar & Mehdi Ghatee, has been published on Expert Systems with Applications under DOI: https://doi.org/10.1016/j.eswa.2019.07.003 This paper proposes a new paradigm for knowledge inheritance in machine learning algorithms. The abstract of this paper is as…

Special Issue “Smartphone-Based Intelligent Transportation Systems”

This special issue will be published on American Journal of Traffic and Transportation Engineering. For more information about the journal, visit the website here. For details of this special issue and the submission process, see here. Aims and Scope: Intelligent Transportation Systems (ITS) have achieved an immense positive impact on…

Simulation Optimization in Transportation Problems

There are many problems in transportation engineering that they are implementable by unstructured optimization problems with three kinds of data: some feasible solutions, some infeasible solutions, and an objective function. Then a decision support system (DSS) is developed to recognize the feasible region by using radial basis function (RBF) neural…