Sakib Shahriar

Orcid: 0000-0002-5778-4876

According to our database1, Sakib Shahriar authored at least 15 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency.
CoRR, 2024

Inevitable-Metaverse: A Novel Twitter Dataset for Public Sentiments on Metaverse.
CoRR, 2024

2023
The Imitation Game: Detecting Human and AI-Generated Texts in the Era of Large Language Models.
CoRR, 2023

The Power Of Simplicity: Why Simple Linear Models Outperform Complex Machine Learning Techniques - Case Of Breast Cancer Diagnosis.
CoRR, 2023

Let's have a chat! A Conversation with ChatGPT: Technology, Applications, and Limitations.
CoRR, 2023

Classification of Arabic Poetry Emotions Using Deep Learning.
Comput., 2023

A Survey of Privacy Risks and Mitigation Strategies in the Artificial Intelligence Life Cycle.
IEEE Access, 2023

Leveraging Nucleotide Dependencies for Improved mRNA Vaccine Degradation Prediction.
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023

2022
How can generative adversarial networks impact computer generated art? Insights from poetry to melody conversion.
Int. J. Inf. Manag. Data Insights, 2022

GAN computers generate arts? A survey on visual arts, music, and literary text generation using generative adversarial network.
Displays, 2022

NFTGAN: Non-Fungible Token Art Generation Using Generative Adversarial Networks.
Proceedings of the ICMLT 2022: 7th International Conference on Machine Learning Technologies, Rome, Italy, March 11, 2022

On the Impact of Deep Learning and Feature Extraction for Arabic Audio Classification and Speaker Identification.
Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021
Classifying Maqams of Qur'anic Recitations Using Deep Learning.
IEEE Access, 2021

Prediction of EV Charging Behavior Using Machine Learning.
IEEE Access, 2021

2020
Machine Learning Approaches for EV Charging Behavior: A Review.
IEEE Access, 2020


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