Motion Analysis in Clinical Practice Using Ambulatory Accelerometry. - Kamiar Aminian; Eduardo de Andrés; Karen Rezakhanlou; Carlo Fritsch; Y. Schutz; Michèle Depairon; Pierre-François Leyvraz; Philippe A. Robert (CAPTECH, 1998)

Source separation in strong noisy mixtures: A study of wavelet de-noising pre-processing. - Anisoara Paraschiv-Ionescu; Christian Jutten; Kamiar Aminian; Bijan Najafi; Philippe A. Robert (ICASSP, 2002)

Wavelet denoising for highly noisy source separation. - Anisoara Paraschiv-Ionescu; Christian Jutten; Kamiar Aminian; Bijan Najafi; Philippe A. Robert (ISCAS (1), 2002)

Measurement of stand-sit and sit-stand transitions using a miniature gyroscope and its application in fall risk evaluation in the elderly. - Bijan Najafi; Kamiar Aminian; François Loew; Yves Blanc; Philippe A. Robert (IEEE Trans. Biomed. Eng., 2002)

Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly. - Bijan Najafi; Kamiar Aminian; Anisoara Paraschiv-Ionescu; François Loew; Christophe J. Büla; Philippe A. Robert (IEEE Trans. Biomed. Eng., 2003)

Evaluation of CD8 T cell killing models with computer simulations of 2-photon imaging experiments. - Ananya Rastogi; Philippe A. Robert; Stephan Halle; Michael Meyer-Hermann (PLoS Comput. Biol., 2020)

Modeling the Dynamics of T-Cell Development in the Thymus. - Philippe A. Robert; Heike Kunze-Schumacher; Victor Greiff; Andreas Krueger (Entropy, 2021)

The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires. - 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; et al. (Nat. Mach. Intell., 2021)

AntBO: Towards Real-World Automated Antibody Design with Combinatorial Bayesian Optimisation. - Mohammad Asif Khan 001; Alexander I. Cowen-Rivers; Derrick-Goh-Xin Deik; Antoine Grosnit; Kamil Dreczkowski; Philippe A. Robert; Victor Greiff; Rasul Tutunov; Dany Bou-Ammar; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2022)

Advancing protein language models with linguistics: a roadmap for improved interpretability. - Mai Ha Vu; Rahmad Akbar; Philippe A. Robert; Bartlomiej Swiatczak; Victor Greiff; Geir Kjetil Sandve; Dag Trygve Truslew Haug (CoRR, 2022)

ImmunoLingo: Linguistics-based formalization of the antibody language. - Mai Ha Vu; Philippe A. Robert; Rahmad Akbar; Bartlomiej Swiatczak; Geir Kjetil Sandve; Dag Trygve Truslew Haug; Victor Greiff (CoRR, 2022)

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction. - Philippe A. Robert; Rahmad Akbar; Robert Frank 006; Milena Pavlovic; Michael Widrich; Igor Snapkov; Andrei Slabodkin; Maria Chernigovskaya; Lonneke Scheffer; Eva Smorodina; Puneet Rawat; Brij Bhushan Mehta; et al. (Nat. Comput. Sci., 2022)

Bridging the neutralization gap for unseen antibodies. - Philippe A. Robert; Victor Greiff (Nat. Mac. Intell., 2023)

Linguistically inspired roadmap for building biologically reliable protein language models. - Mai Ha Vu; Rahmad Akbar; Philippe A. Robert; Bartlomiej Swiatczak; Geir Kjetil Sandve; Victor Greiff; Dag Trygve Truslew Haug (Nat. Mac. Intell., 2023)

Opponent Shaping for Antibody Development. - Sebastian Towers; Aleksandra Kalisz; Philippe A. Robert; Alicia Higueruelo; Francesca V. Vianello; Ming-Han Chloe Tsai; Harrison Steel; Jakob N. Foerster (CoRR, 2024)

Linguistics-based formalization of the antibody language as a basis for antibody language models. - Mai Ha Vu; Philippe A. Robert; Rahmad Akbar; Bartlomiej Swiatczak; Geir Kjetil Sandve; Dag Trygve Truslew Haug; Victor Greiff (Nat. Comput. Sci., 2024)

Attribution assignment for deep-generative sequence models enables interpretability analysis using positive-only data. - Robert Frank 006; Michael Widrich; Rahmad Akbar; Günter Klambauer; Geir Kjetil Sandve; Philippe A. Robert; Victor Greiff (CoRR, 2025)