| 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 | 72 | 2022 |
| 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 | 36 | 2022 |
| 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 | 33* | 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 | 25 | 2021 |
| 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 | 22 | 2019 |
| 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 | 15 | 2018 |
| Towards a formal description of NPI-licensing patterns MH Vu Proceedings of the Society for Computation in Linguistics 1 (1), 154-163, 2018 | 8 | 2018 |
| 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 | 7 | 2022 |
| Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies. mAbs R Akbar, H Bashour, P Rawat, PA Robert, E Smorodina, TS Cotet, ... Taylor & Francis, 2022 | 7 | 2022 |
| A quantifier-based approach to NPI-licensing typology: Empirical and computational investigations MH Vu University of Delaware, 2020 | 6 | 2020 |
| A formal analysis of Correspondence Theory A Payne, MH Vu, J Heinz Proceedings of the Annual Meetings on Phonology, 2016 | 5 | 2016 |
| A syntactic account of morphological causatives in Japanese and Korean J Jo, MH Vu Proceedings of the 25th Japanese/Korean Linguistics Conference, Poster …, 2018 | 2 | 2018 |
| Focus negation is constituent negation in Hungarian MH Vu Poster presented at the Linguistic Society of America 2017 Annual Meeting …, 0 | 1 | |
| 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, 1-11, 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 |
| Comparing neural-network based language models to human sentence processing: choice of task matters MH Vu, SY Lee | | 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 | | |
Rahmad AkbarAntibody Designer at Novo Nordisk在 novonordisk.com 的电子邮件经过验证
