Mahdi Maktabdar Oghaz

Orcid: 0000-0003-2697-8288

According to our database1, Mahdi Maktabdar Oghaz authored at least 23 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Audio-Visual Emotion Recognition Using Deep Learning Methods.
Proceedings of the Artificial Intelligence XLI, 2024

Semantic Segmentation for Landslide Detection Using Segformer.
Proceedings of the Artificial Intelligence XLI, 2024

Spatial Interpolation of Air Quality: A UK Case Study.
Proceedings of the Artificial Intelligence XLI, 2024

Respiratory Disease Detection Using Deep Convolutional Transformer Models.
Proceedings of the Artificial Intelligence XLI, 2024

Improved NO<sub>2</sub> Prediction Using Machine Learning Algorithms.
Proceedings of the Artificial Intelligence Applications and Innovations, 2024

2023
COVID-19 lateral flow test image classification using deep CNN and StyleGAN2.
Frontiers Artif. Intell., February, 2023

Data Driven Model to Investigate Political Bias in Mainstream Media.
IEEE Access, 2023

2022
Enhanced Single Shot Small Object Detector for Aerial Imagery Using Super-Resolution, Feature Fusion and Deconvolution.
Sensors, 2022

Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas.
Frontiers Big Data, 2022

Credit Card Fraud Using Adversarial Attacks.
Proceedings of the Artificial Intelligence XXXIX, 2022

Two-Phase Open-Domain Question Answering System.
Proceedings of the Artificial Intelligence XXXIX, 2022

Recurrent Neural Networks for Music Genre Classification.
Proceedings of the Artificial Intelligence XXXIX, 2022

Deep Convolutional Neural Networks for COVID-19 Detection from Chest X-Ray Images Using ResNetV2.
Proceedings of the Intelligent Computing, 2022

Urban Tree Detection and Species Classification Using Aerial Imagery.
Proceedings of the Intelligent Computing, 2022

2021
Urban Tree Species Classification Using Aerial Imagery.
CoRR, 2021

Use Case Prediction Using Deep Learning.
Proceedings of the Intelligent Systems and Applications, 2021

2019
An optimized skin texture model using gray-level co-occurrence matrix.
Neural Comput. Appl., 2019

Content-aware Density Map for Crowd Counting and Density Estimation.
CoRR, 2019

Features Extraction based on an Origami Representation of 3D Landmarks.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

A Comparison of Embedded Deep Learning Methods for Person Detection.
Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Skin Identification Using Deep Convolutional Neural Network.
Proceedings of the Advances in Visual Computing, 2019

Scene and Environment Monitoring Using Aerial Imagery and Deep Learning.
Proceedings of the 15th International Conference on Distributed Computing in Sensor Systems, 2019

Learning how to analyse crowd behaviour using synthetic data.
Proceedings of the 32nd International Conference on Computer Animation and Social Agents, 2019


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