Search Results for author: M. Hadi Amini

Found 18 papers, 1 papers with code

The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics

no code implementations6 Feb 2022 Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed, Thiab Taha, M. Hadi Amini, Hamid R. Arabnia

In this study, we present our discovery of evolutionary and nature-inspired algorithms applications in Data Science and Data Analytics in three main topics of pre-processing, supervised algorithms, and unsupervised algorithms.

OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms

no code implementations15 Dec 2021 Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini

OptABC integrates artificial bee colony algorithm, K-Means clustering, greedy algorithm, and opposition-based learning strategy for tuning the hyper-parameters of different machine learning models.

Data Analytics for Smart cities: Challenges and Promises

no code implementations12 Sep 2021 Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, Hamid R. Arabnia

Then, we offer a framework of these solutions, called universal smart cities decision making, with three main sections of data capturing, data analysis, and decision making to optimize the smart mobility within smart cities.

Decision Making

HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization

no code implementations11 Sep 2021 Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini

In order to ensure the robustness of the proposed method, the algorithm takes a wide range of feasible hyper-parameter values, and is tested using a real-world educational dataset.

Decision Making

Embodied AI-Driven Operation of Smart Cities: A Concise Review

no code implementations22 Aug 2021 Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia

Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time.

Autonomous Driving

Search Algorithms for Automated Hyper-Parameter Tuning

1 code implementation29 Apr 2021 Leila Zahedi, Farid Ghareh Mohammadi, Shabnam Rezapour, Matthew W. Ohland, M. Hadi Amini

In this paper, we examine the effectiveness of automated hyper-parameter tuning techniques to the realm of students' success.

Decision Making

FedAR: Activity and Resource-Aware Federated Learning Model for Distributed Mobile Robots

no code implementations11 Jan 2021 Ahmed Imteaj, M. Hadi Amini

Smartphones, autonomous vehicles, and the Internet-of-things (IoT) devices are considered the primary data source for a distributed network.

Autonomous Vehicles Federated Learning

Malware Detection using Artificial Bee Colony Algorithm

no code implementations1 Dec 2020 Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, Hamid R. Arabnia

However, the more universal an algorithm is, the higher number of feature dimensions it needs to work with, and that inevitably causes the emerging problem of Curse of Dimensionality (CoD).

Malware Analysis Malware Detection

Leveraging Decentralized Artificial Intelligence to Enhance Resilience of Energy Networks

no code implementations18 Nov 2019 Ahmed Imteaj, M. Hadi Amini, Javad Mohammadi

This paper reintroduces the notion of resilience in the context of recent issues originated from climate change triggered events including severe hurricanes and wildfires.

Decision Making

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises

no code implementations26 Aug 2019 Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia

In [1, 2], we have explored the theoretical aspects of feature extraction optimization processes for solving largescale problems and overcoming machine learning limitations.

Meta-Learning

Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics

no code implementations22 Aug 2019 Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia

Dimension reduction, together with EAs, lends itself to solve CoD and solve complex problems, in terms of time complexity, efficiently.

Credit score Dimensionality Reduction +1

Evolutionary Computation, Optimization and Learning Algorithms for Data Science

no code implementations16 Aug 2019 Farid Ghareh Mohammadi, M. Hadi Amini, Hamid R. Arabnia

We focus on data science as a crucial area, specifically focusing on a curse of dimensionality (CoD) which is due to the large amount of generated/sensed/collected data.

Decision Making

Evolutionary Algorithms and Efficient Data Analytics for Image Processing

no code implementations23 Jul 2019 Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, Hamid R. Arabnia

However, the increase in features leads to the problem of the curse of dimensionality (CoD), which is considered to be an NP-hard problem.

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