Farid Ghareh Mohammadi

According to our database1, Farid Ghareh Mohammadi authored at least 29 papers between 2014 and 2024.

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Bibliography

2024
Deep-RSIv2: An Efficient Content-Free Deep Learning Approach for Radiographs' Manufacturer and Model Identification.
Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

2023
Deep Learning in Healthcare: An In-Depth Analysis.
CoRR, 2023

Opportunistic Screening for Osteoporosis Using Hand Radiographs: A Preliminary Study.
Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

2022
3D-model ShapeNet Core Classification using Meta-Semantic Learning.
CoRR, 2022

Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review.
CoRR, 2022

Deep-RSI: Deep learning for Radiographs Source Identification.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2022

2021
Data Analytics for Smart cities: Challenges and Promises.
CoRR, 2021

HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization.
CoRR, 2021

Embodied AI-Driven Operation of Smart Cities: A Concise Review.
CoRR, 2021

DRDrV3: Complete Lesion Detection in Fundus Images Using Mask R-CNN, Transfer Learning, and LSTM.
CoRR, 2021

Search Algorithms for Automated Hyper-Parameter Tuning.
CoRR, 2021

Evolutionary Algorithms and Efficient Data Analytics for Image Processing.
Proceedings of the 15th International Conference on Ubiquitous Information Management and Communication, 2021

OptABC: an Optimal Hyperparameter Tuning Approach for Machine Learning Algorithms.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Internet of Things (IoT) in Healthcare: Applications, Challenges and Solutions.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

2020
DRDr II: Detecting the Severity Level of Diabetic Retinopathy Using Mask RCNN and Transfer Learning.
CoRR, 2020

DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection.
CoRR, 2020

On Parameter Tuning in Meta-learning for Computer Vision.
CoRR, 2020

Malware detection using artificial bee colony algorithm.
Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

2019
Ontology Summarization: Graph-Based Methods and Beyond.
Int. J. Semantic Comput., 2019

An Introduction to Advanced Machine Learning : Meta Learning Algorithms, Applications and Promises.
CoRR, 2019

Applications of Nature-Inspired Algorithms for Dimension Reduction: Enabling Efficient Data Analytics.
CoRR, 2019

Evolutionary Computation, Optimization and Learning Algorithms for Data Science.
CoRR, 2019

ISEA: Image Steganalysis using Evolutionary Algorithms.
CoRR, 2019

Promises of Meta-Learning for Device-Free Human Sensing: Learn to Sense.
Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing, 2019

2017
Region based Image Steganalysis using Artificial Bee Colony.
J. Vis. Commun. Image Represent., 2017

2014
A new metaheuristic feature subset selection approach for image steganalysis.
J. Intell. Fuzzy Syst., 2014

Image steganalysis using a bee colony based feature selection algorithm.
Eng. Appl. Artif. Intell., 2014

HYEI: A New Hybrid Evolutionary Imperialist Competitive Algorithm for Fuzzy Knowledge Discovery.
Adv. Fuzzy Syst., 2014


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