2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2023★ 1 cited
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…
cs.CV2023★ 2 cited
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.…
q-bio.QM2023
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…