Ahmed Elnaggar
Publications by Year
Research Areas
Topic Modeling, Natural Language Processing Techniques, Genomics and Phylogenetic Studies, Machine Learning in Bioinformatics, Artificial Intelligence in Law
Most-Cited Works
- → ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning(2021)2,089 cited
- → Modeling aspects of the language of life through transfer-learning protein sequences(2019)616 cited
- → Ankh ☥: Optimized Protein Language Model Unlocks General-Purpose Modelling(2023)144 cited
- → ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing(2020)71 cited
- → Modeling the language of life – Deep Learning Protein Sequences(2019)42 cited
- → Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification(2018)31 cited
- → End-to-end multitask learning, from protein language to protein features without alignments(2019)20 cited
- → Digitizing the Hand Rehabilitation Using Serious Games Methodology with User-Centered Design Approach(2016)17 cited
- → Stop Illegal Comments(2018)16 cited
- → Deep Learning for Named-Entity Linking with Transfer Learning for Legal Documents(2018)14 cited