Maria Chernigovskaya

According to our database, Maria Chernigovskaya authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Challenges and Limitations of Leveraging LLMs for Anomaly Detection: Insights from a Manufacturing Case Study.

Maria Chernigovskaya, Abdulrahman Nahhas, André Hardt, Klaus Turowski

Proceedings of the Smart Business Technologies - 22nd International Conference, 2025

Towards a Standardized Business Process Model for LLMOps.

Maria Chernigovskaya, Damanpreet Singh Walia, Ksenia Neumann, André Hardt, Abdulrahman Nahhas, Klaus Turowski

Proceedings of the 27th International Conference on Enterprise Information Systems, 2025

Towards the Integration of Large Language Models into the Software Development Life Cycle: A Systematic Literature Review.

Mohammadamin Madani, Ksenia Neumann, Abdulrahman Nahhas, Maria Chernigovskaya, Damanpreet Singh Walia, Klaus Turowski

Proceedings of the 3rd International Conference on Foundation and Large Language Models, 2025

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., November, 2024

Reinforcement Learning for Hyper-Parameter Optimization in the context of Capacity Management of SAP Enterprise Applications.

Maria Chernigovskaya, Andrey Kharitonov, Abdulrahman Nahhas, Klaus Turowski

Proceedings of the 10th International Conference on Control, 2024

2023

Hyper-parameter Optimization in the context of Smart Manufacturing: a Systematic Literature Review.

Maria Chernigovskaya, Abdulrahman Nahhas, Andrey Kharitonov, Klaus Turowski

Proceedings of the 5th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

A Recent Publications Survey on Reinforcement Learning for Selecting Parameters of Meta-Heuristic and Machine Learning Algorithms.

Maria Chernigovskaya, Andrey Kharitonov, Klaus Turowski

Proceedings of the 13th International Conference on Cloud Computing and Services Science, 2023

2022

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.

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

Nat. Comput. Sci., 2022

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, 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

Nat. Mach. Intell., 2021