7 citations · 10 across the 4 of their papers we have counts for
5 papers
Authenticity in Authorship: The Writer's Integrity Framework for Verifying Human-Generated Text
Sanad Aburass, Maha Abu Rumman
The "Writer's Integrity" framework introduces a paradigm shift in maintaining the sanctity of human-generated text in the realms of academia, research, and publishing. This innovat…
Quantifying Overfitting: Introducing the Overfitting Index
Sanad Aburass
In the rapidly evolving domain of machine learning, ensuring model generalizability remains a quintessential challenge. Overfitting, where a model exhibits superior performance on…
An Ensemble Approach to Question Classification: Integrating Electra Transformer, GloVe, and LSTM
Sanad Aburass, Osama Dorgham, Maha Abu Rumman
Natural Language Processing (NLP) has emerged as a crucial technology for understanding and generating human language, playing an essential role in tasks such as machine translatio…
Performance Evaluation of Swin Vision Transformer Model using Gradient Accumulation Optimization Technique
Sanad Aburass, Osama Dorgham
Vision Transformers (ViTs) have emerged as a promising approach for visual recognition tasks, revolutionizing the field by leveraging the power of transformer-based architectures.…
A Hybrid Machine Learning Model for Classifying Gene Mutations in Cancer using LSTM, BiLSTM, CNN, GRU, and GloVe
Sanad Aburass, Osama Dorgham, Jamil Al Shaqsi
In our study, we introduce a novel hybrid ensemble model that synergistically combines LSTM, BiLSTM, CNN, GRU, and GloVe embeddings for the classification of gene mutations in canc…