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ORCIDJosh McGiff
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2020 – today
- 2025
[i4]Josh McGiff, Nikola S. Nikolov:
Overcoming Data Scarcity in Generative Language Modelling for Low-Resource Languages: A Systematic Review. CoRR abs/2505.04531 (2025)- [i3]Josh McGiff, Nikola S. Nikolov:
SemiAdapt and SemiLoRA: Efficient Domain Adaptation for Transformer-based Low-Resource Language Translation with a Case Study on Irish. CoRR abs/2510.18725 (2025) - [i2]Josh McGiff, Khanh-Tung Tran, William Mulcahy, Dáibhidh Ó Luinín, Jake Dalzell, Róisín Ní Bhroin, Adam Burke, Barry O'Sullivan, Hoang D. Nguyen, Nikola S. Nikolov:
Irish-BLiMP: A Linguistic Benchmark for Evaluating Human and Language Model Performance in a Low-Resource Setting. CoRR abs/2510.20957 (2025) - 2024
- [i1]Josh McGiff, Nikola S. Nikolov:
Bridging the gap in online hate speech detection: a comparative analysis of BERT and traditional models for homophobic content identification on X/Twitter. CoRR abs/2405.09221 (2024)
2010 – 2019
- 2019
- [j1]Jarrett Booz, Josh McGiff, William G. Hatcher, Wei Yu
, James H. Nguyen, Chao Lu:
Towards Deep Learning-Based Approach for Detecting Android Malware. Int. J. Softw. Innov. 7(4): 1-24 (2019) - [c2]Josh McGiff, William G. Hatcher, James H. Nguyen, Wei Yu, Erik Blasch, Chao Lu:
Towards Multimodal Learning for Android Malware Detection. ICNC 2019: 432-436 - 2018
- [c1]Jarrett Booz, Josh McGiff, William G. Hatcher, Wei Yu, James H. Nguyen, Chao Lu:
Tuning Deep Learning Performance for Android Malware Detection. SNPD 2018: 140-145
Coauthor Index
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