Takip et
Mai Ha Vu
Mai Ha Vu
University of Oslo
uio.no üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ...
MAbs 14 (1), 2008790, 2022
902022
Unconstrained generation of synthetic antibody–antigen structures to guide machine learning methodology for antibody specificity prediction
PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ...
Nature Computational Science 2 (12), 845-865, 2022
502022
Linguistically inspired roadmap for building biologically reliable protein language models
MH Vu, R Akbar, PA Robert, B Swiatczak, GK Sandve, V Greiff, DTT Haug
Nature Machine Intelligence 5 (5), 485-496, 2023
44*2023
One billion synthetic 3D-antibody-antigen complexes enable unconstrained machine-learning formalized investigation of antibody specificity prediction
PA Robert, R Akbar, R Frank, M Pavlović, M Widrich, I Snapkov, ...
BioRXiV, 2021.07. 06.451258, 2021
262021
Case assignment in TSL syntax: A case study
MH Vu, N Shafiei, T Graf
Proceedings of the Society for Computation in Linguistics (SCiL) 2019, 267-276, 2019
252019
Statistical relational learning with unconventional string models
MH Vu, A Zehfroosh, K Strother-Garcia, M Sebok, J Heinz, HG Tanner
Frontiers in Robotics and AI 5, 76, 2018
142018
ImmunoLingo: Linguistics-based formalization of the antibody language
MH Vu, PA Robert, R Akbar, B Swiatczak, GK Sandve, DTT Haug, V Greiff
arXiv preprint arXiv:2209.12635, 2022
112022
Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs 14
R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ...
Taylor & Francis, 2022
102022
Towards a formal description of NPI-licensing patterns
MH Vu
Society for Computation in Linguistics 1 (1), 2018
72018
A quantifier-based approach to NPI-licensing typology: Empirical and computational investigations
MH Vu
University of Delaware, 2020
62020
A formal analysis of Correspondence Theory
A Payne, MH Vu, J Heinz
Proceedings of the Annual Meetings on Phonology, 2016
52016
Linguistics-based formalization of the antibody language as a basis for antibody language models
MH Vu, PA Robert, R Akbar, B Swiatczak, GK Sandve, DTT Haug, V Greiff
Nature Computational Science 4 (6), 412-422, 2024
22024
A syntactic account of morphological causatives in Japanese and Korean
J Jo, MH Vu
Proceedings of the 25th Japanese/Korean Linguistics Conference, Poster …, 2018
22018
Comparing neural-network based language models to human sentence processing: choice of task matters
MH Vu, SY Lee
12022
Focus negation is constituent negation in Hungarian
MH Vu
Poster presented at the Linguistic Society of America 2017 Annual Meeting …, 0
1
The effects of distance on NPI illusive effects in BERT
S Lee, M Vu
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
2024
Logical Transductions for the Typology of Ditransitive Prosody
MH Vu, A De Santo, H Dolatian
Proceedings of the 19th SIGMORPHON Workshop on Computational Research in …, 2022
2022
Wh-hell: The view from Hungarian
MH Vu, K Lohiniva
2020
Quantificational force of Hungarian NPIs: Evidence from adverbial scope
MH Vu
Linguistic Society of America, 2019
2019
In-situ Hungarian wh-hell: evidence against an intervention account
MH Vu, K Lohiniva
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