Rahmad Akbar

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data.
CoRR
Robert Frank, Michael Widrich, Rahmad Akbar, Günter Klambauer, Geir Kjetil Sandve, Philippe A. Robert, Victor Greiff
2024 J jnl
Linguistics-based formalization of the antibody language as a basis for antibody language models.
Nat. Comput. Sci.
Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff
2024 J jnl
Predictability of antigen binding based on short motifs in the antibody CDRH3.
Briefings Bioinform.
Lonneke Scheffer, Eric Emanuel Reber, Brij Bhushan Mehta, Milena Pavlovic, Maria Chernigovskaya, Eve Richardson, Rahmad Akbar, Fridtjof Lund-Johansen, Victor Greiff, Ingrid Hobæk Haff, Geir Kjetil Sandve
2023 J jnl
Linguistically inspired roadmap for building biologically reliable protein language models.
Nat. Mac. Intell.
Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Geir Kjetil Sandve, Victor Greiff, Dag Trygve Truslew Haug
2023 J jnl
Machine learning and molecular simulation ascertain antimicrobial peptide against
Comput. Biol. Chem.
Ahmad Al-Khdhairawi, Danish Sanuri, Rahmad Akbar, Su Datt Lam, Shobana Sugumar, Nazlina Ibrahim, Sylvia Chieng, Fareed Sairi
2023 J jnl
Progress and challenges for the application of machine learning for neglected tropical diseases.
F1000Research
Chung Yuen Khew, Rahmad Akbar, Norfarhan Mohd. Assaad
2022 J jnl
Advancing protein language models with linguistics: a roadmap for improved interpretability.
CoRR
Mai Ha Vu, Rahmad Akbar, Philippe A. Robert, Bartlomiej Swiatczak, Victor Greiff, Geir Kjetil Sandve, Dag Trygve Truslew Haug
2022 J jnl
ImmunoLingo: Linguistics-based formalization of the antibody language.
CoRR
Mai Ha Vu, Philippe A. Robert, Rahmad Akbar, Bartlomiej Swiatczak, Geir Kjetil Sandve, Dag Trygve Truslew Haug, Victor Greiff
2022 J jnl
Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases.
CoRR
Chung Yuen Khew, Rahmad Akbar, Norfarhan Mohd. Assaad
2022 J jnl
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.
Nat. Comput. Sci.
Philippe A. Robert, Rahmad Akbar, Robert Frank, Milena Pavlovic, Michael Widrich, Igor Snapkov, Andrei Slabodkin, Maria Chernigovskaya, Lonneke Scheffer, Eva Smorodina, Puneet Rawat, Brij Bhushan Mehta, Mai Ha Vu, Ingvild Frøberg Mathisen, Aurél Prósz, Krzysztof Abram, Alex Olar, Enkelejda Miho, Dag Trygve Truslew Haug, Fridtjof Lund-Johansen, Sepp Hochreiter, Ingrid Hobæk Haff, Günter Klambauer, Geir Kjetil Sandve, Victor Greiff
2021 J jnl
The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires.
Nat. Mach. Intell.
Milena Pavlovic, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, Knut Waagan, Fabian L. M. Bernal, Alexandre Almeida Costa, Brian Corrie, Rahmad Akbar, Ghadi S. Al Hajj, Gabriel Balaban, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Lindsay G. Cowell, Robert Frank, Ivar Grytten, Sveinung Gundersen, Ingrid Hobæk Haff, Eivind Hovig, Ping-Han Hsieh, Günter Klambauer, Marieke L. Kuijjer, Christin Lund-Andersen, Antonio Martini, Thomas Minotto, Johan Pensar, Knut D. Rand, Enrico Riccardi, Philippe A. Robert, Artur Rocha, Andrei Slabodkin, Igor Snapkov, Ludvig Magne Sollid, Dmytro Titov, Cédric R. Weber, Michael Widrich, Gur Yaari, Victor Greiff, Geir Kjetil Sandve
2020 J jnl
immuneSIM: tunable multi-feature simulation of B- and T-cell receptor repertoires for immunoinformatics benchmarking.
Bioinform.
Cédric R. Weber, Rahmad Akbar, Alexander Yermanos, Milena Pavlovic, Igor Snapkov, Geir Kjetil Sandve, Sai T. Reddy, Victor Greiff