Mohammed Alsuhaibani

About Mohammed Alsuhaibani

Mohammed Alsuhaibani, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Liverpool, specializes in the field of AI, Machine Learning, Natural Language Processing (NLP), Arabic NLP.

His recent articles reflect a diverse array of research interests and contributions to the field:

Content-Based Approach for Improving Bloom Filter Efficiency

Leveraging Graph-Based Representations to Enhance Machine Learning Performance in IIoT Network Security and Attack Detection

SiameseBERT: A Bert-Based Siamese Network Enhanced with a Soft Attention Mechanism for Arabic Semantic Textual Similarity

Sequence-to-Sequence Neural Network for Joint Aspect Term Extraction and Aspect Term Sentiment Classification Tasks

BERT-based joint model for aspect term extraction and aspect polarity detection in Arabic text

Deep Learning-based Sentence Embeddings using BERT for Textual Entailment

Novel Machine Learning–Based Approach for Arabic Text Classification Using Stylistic and Semantic Features

Performance Analysis of Bloom Filter for Big Data Analytics

Mohammed Alsuhaibani Information

University

Position

___

Citations(all)

198

Citations(since 2020)

156

Cited By

93

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

5

i10Index(since 2020)

5

Email

University Profile Page

Google Scholar

Mohammed Alsuhaibani Skills & Research Interests

AI

Machine Learning

Natural Language Processing (NLP)

Arabic NLP

Top articles of Mohammed Alsuhaibani

Content-Based Approach for Improving Bloom Filter Efficiency

Applied Sciences

2023/7/6

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

Rehan Ullah Khan
Rehan Ullah Khan

H-Index: 11

Leveraging Graph-Based Representations to Enhance Machine Learning Performance in IIoT Network Security and Attack Detection

Applied Sciences

2023/6/30

SiameseBERT: A Bert-Based Siamese Network Enhanced with a Soft Attention Mechanism for Arabic Semantic Textual Similarity

2023/2

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

Sequence-to-Sequence Neural Network for Joint Aspect Term Extraction and Aspect Term Sentiment Classification Tasks

2023/2

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

BERT-based joint model for aspect term extraction and aspect polarity detection in Arabic text

Electronics

2023/1/19

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

Deep Learning-based Sentence Embeddings using BERT for Textual Entailment

International Journal of Advanced Computer Science and Applications

2023

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

Novel Machine Learning–Based Approach for Arabic Text Classification Using Stylistic and Semantic Features

CMC-COMPUTERS MATERIALS & CONTINUA

2023/1/1

Fethi Fkih
Fethi Fkih

H-Index: 4

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

Delel Rhouma
Delel Rhouma

H-Index: 2

Performance Analysis of Bloom Filter for Big Data Analytics

Hindawi Computational Intelligence and Neuroscience

2022/12

Deep transformer language models for Arabic text summarization: a comparison study

Applied Sciences

2022/11/23

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

Fabricated Hadith Detection: A Novel Matn-Based Approach With Transformer Language Models

IEEE Access

2022/10/26

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

Comparative Analysis of Recurrent Neural Network Architectures for Arabic Word Sense Disambiguation

2022/10

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

The impact of check bits on the performance of bloom filter

CMC

2022/8

Joint Approaches for Learning Word Representations from Text Corpora and Knowledge Bases

2020

Mohammed Alsuhaibani
Mohammed Alsuhaibani

H-Index: 3

See List of Professors in Mohammed Alsuhaibani University(University of Liverpool)

Co-Authors

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