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ORCIDAhmed Elnaggar
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Journal Articles
- 2022
[j2]Ahmed Elnaggar
, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost:
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7112-7127 (2022)- 2019
- [j1]Michael Heinzinger, Ahmed Elnaggar, Yu Wang, Christian Dallago, Dmitrii Nechaev, Florian Matthes, Burkhard Rost:
Modeling aspects of the language of life through transfer-learning protein sequences. BMC Bioinform. 20(1): 723 (2019)
Conference and Workshop Papers
- 2023
- [c6]Ahmed Elnaggar:
A journey into the Generative AI and large language models: From NLP to BioInformatics. ICGI 2023: 7 - 2021
- [c5]Mohab Ghanem, Ahmed Elnaggar, Adam Mckinnon, Christian Debes, Olivier Boisard, Florian Matthes:
Automated Employee Objective Matching Using Pre-trained Word Embeddings. EDOC 2021: 51-60 - 2018
- [c4]Ahmed Elnaggar, Christoph Gebendorfer, Ingo Glaser, Florian Matthes:
Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification. AICCC 2018: 9-15 - [c3]Ahmed Elnaggar, Robin Otto, Florian Matthes:
Deep Learning for Named-Entity Linking with Transfer Learning for Legal Documents. AICCC 2018: 23-28 - [c2]Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova, Florian Matthes:
Stop Illegal Comments: A Multi-Task Deep Learning Approach. AICCC 2018: 41-47 - [c1]Jörg Landthaler, Ömer Uludag, Gloria Bondel, Ahmed Elnaggar, Saasha Nair, Florian Matthes:
A Machine Learning Based Approach to Application Landscape Documentation. PoEM 2018: 71-85
Informal and Other Publications
- 2023
- [i6]Ahmed Elnaggar, Hazem Essam, Wafaa Salah-Eldin, Walid Moustafa, Mohamed Elkerdawy, Charlotte Rochereau, Burkhard Rost:
Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling. CoRR abs/2301.06568 (2023) - 2021
- [i5]Ahmed Elnaggar, Wei Ding, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Silvia Severini, Florian Matthes, Burkhard Rost:
CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing. CoRR abs/2104.02443 (2021) - 2020
- [i4]Ahmed Elnaggar, Michael Heinzinger, Christian Dallago, Ghalia Rehawi, Yu Wang, Llion Jones, Tom Gibbs, Tamas Feher, Christoph Angerer, Martin Steinegger, Debsindhu Bhowmik, Burkhard Rost:
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing. CoRR abs/2007.06225 (2020) - 2018
- [i3]Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova, Florian Matthes:
Stop Illegal Comments: A Multi-Task Deep Learning Approach. CoRR abs/1810.06665 (2018) - [i2]Ahmed Elnaggar, Robin Otto, Florian Matthes:
Named-Entity Linking Using Deep Learning For Legal Documents: A Transfer Learning Approach. CoRR abs/1810.06673 (2018) - [i1]Ahmed Elnaggar, Christoph Gebendorfer, Ingo Glaser, Florian Matthes:
Multi-Task Deep Learning for Legal Document Translation, Summarization and Multi-Label Classification. CoRR abs/1810.07513 (2018)
Coauthor Index
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