Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aburass, Sanad"'
Autor:
Aburass, Sanad, Rumman, Maha Abu
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 innovative system circumvents the shortcomings of current AI detection tools
Externí odkaz:
http://arxiv.org/abs/2404.10781
Autor:
Aburass, Sanad
In the rapidly evolving domain of machine learning, ensuring model generalizability remains a quintessential challenge. Overfitting, where a model exhibits superior performance on training data but falters on unseen data, is a recurrent concern. This
Externí odkaz:
http://arxiv.org/abs/2308.08682
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 translation, sentiment analysis, and more pertinently, question classification.
Externí odkaz:
http://arxiv.org/abs/2308.06828
Autor:
Aburass, Sanad, Dorgham, Osama
Vision Transformers (ViTs) have emerged as a promising approach for visual recognition tasks, revolutionizing the field by leveraging the power of transformer-based architectures. Among the various ViT models, Swin Transformers have gained considerab
Externí odkaz:
http://arxiv.org/abs/2308.00197
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 cancer. This model was rigorously tested using Kaggle's Personalized Medic
Externí odkaz:
http://arxiv.org/abs/2307.14361
Publikováno v:
In Systems and Soft Computing December 2024 6
Publikováno v:
In Informatics in Medicine Unlocked 2023 43
Publikováno v:
International Journal of Advanced Computer Science & Applications; Jan2024, Vol. 15 Issue 1, p507-514, 8p