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)

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)

A Recent Publications Survey on Reinforcement Learning for Selecting Parameters of Meta-Heuristic and Machine Learning Algorithms. - Maria Chernigovskaya; Andrey Kharitonov; Klaus Turowski (CLOSER, 2023)

Hyper-parameter Optimization in the context of Smart Manufacturing: a Systematic Literature Review. - Maria Chernigovskaya; Abdulrahman Nahhas; Andrey Kharitonov; Klaus Turowski (ISM, 2023)

Reinforcement Learning for Hyper-Parameter Optimization in the context of Capacity Management of SAP Enterprise Applications. - Maria Chernigovskaya; Andrey Kharitonov; Abdulrahman Nahhas; Klaus Turowski (CoDIT, 2024)

Predictability of antigen binding based on short motifs in the antibody CDRH3. - 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 (Briefings Bioinform., 2024)

Towards a Standardized Business Process Model for LLMOps. - Maria Chernigovskaya; Damanpreet Singh Walia; Ksenia Neumann; André Hardt; Abdulrahman Nahhas; Klaus Turowski (ICEIS (1), 2025)