Ali Alqahtani

Orcid: 0000-0003-1052-2657

Affiliations:
  • King Khalid University, Department of Computer Science, Center for Artificial Intelligence, CAI, Abha, Saudi Arabia
  • Swansea University, Department of Computer Science, UK (PhD 2021)


According to our database1, Ali Alqahtani authored at least 17 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
MaxMViT-MLP: Multiaxis and Multiscale Vision Transformers Fusion Network for Speech Emotion Recognition.
IEEE Access, 2024

2023
EnViTSA: Ensemble of Vision Transformer with SpecAugment for Acoustic Event Classification.
Sensors, November, 2023

Web-Based Malware Detection System Using Convolutional Neural Network.
Digit., June, 2023

HGR-ViT: Hand Gesture Recognition with Vision Transformer.
Sensors, 2023

Gait-CNN-ViT: Multi-Model Gait Recognition with Convolutional Neural Networks and Vision Transformer.
Sensors, 2023

Fine-Tuned Temporal Dense Sampling with 1D Convolutional Neural Network for Human Action Recognition.
Sensors, 2023

Recent Advances in Traffic Sign Recognition: Approaches and Datasets.
Sensors, 2023

Recent Advances in Text-to-Image Synthesis: Approaches, Datasets and Future Research Prospects.
IEEE Access, 2023

Mel-MViTv2: Enhanced Speech Emotion Recognition With Mel Spectrogram and Improved Multiscale Vision Transformers.
IEEE Access, 2023

Constrained Clustering: General Pairwise and Cardinality Constraints.
IEEE Access, 2023

2021
Deep clustering and deep network compression.
PhD thesis, 2021

Literature Review of Deep Network Compression.
Informatics, 2021

Pruning CNN filters via quantifying the importance of deep visual representations.
Comput. Vis. Image Underst., 2021

2020
Neuron-based Network Pruning Based on Majority Voting.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Clustering and Classification for Time Series Data in Visual Analytics: A Survey.
IEEE Access, 2019

Learning Discriminatory Deep Clustering Models.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
A Deep Convolutional Auto-Encoder with Embedded Clustering.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018


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