Johannes Jakubik, M.Sc.

Johannes Jakubik, M.Sc.

  • Kaiserstraße 89
    76133 Karlsruhe

Activities

Johannes is a research associate at the Applied AI in Services Lab within the Institute of Information Systems and Marketing (IISM) and the Karlsruhe Service Research Institute (KSRI). His interests include:

  •  Applied Machine Learning & Deep Learning
  •  Data-centric AI
  •  Few-shot learning
  •  Open-set recognition
  •  Human-Centered Artificial Intelligence 

 
Please feel free to reach out if you are interested in writing a bachelor or master thesis on one of these topics.

Curriculum Vitae

Johannes graduated from the Karlsruhe Institute of Technology (KIT) with a bachelor’s and a master’s degree in Industrial Engineering and Management. During his master’s degree, he studied Information Systems and Computer Engineering at the Instituto Superior Técnico (Lisbon, Portugal) and authored his thesis at ETH Zurich (Switzerland) at the Chair of Management Information Systems. Throughout his master studies, Johannes worked on real-world implementations of machine learning (e.g., image classification, speech recognition, named entity recognition) during internships at Porsche Motorsport, d-fine and EnBW AG. Johannes worked as an Affiliated Research Member at the Chair of Management Information Systems at ETH Zurich, where he researched emotion dynamics on social media.

Publications


2023
Reports/Preprints
2022
Journal Articles
Conference Papers
An Empirical Evaluation of Estimated Outcomes as Explanations in Human-AI Decision-Making
Jakubik, J.; Schöffer, J.; Hoge, V.; Vössing, M.; Kühl, N.
2022. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning
Jakubik, J.; Blumenstiel, B.; Vössing, M.; Hemmer, P.
2022. Wirtschaftsinformatik 2022 : Proceedings. Bd.: 6, AIS eLibrary (AISeL)
Designing a Human-in-the-Loop System for Object Detection in Floor Plans
Jakubik, J.; Hemmer, P.; Vössing, M.; Blumenstiel, B.; Bartos, A.; Mohr, K.
2022. Proceedings of the 36th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI 2022), Online, 22.02.2022-01.03.2022, 12524–12530, Association for the Advancement of Artificial Intelligence (AAAI). doi:10.1609/aaai.v36i11.21522
2021
Journal Articles
Directed particle swarm optimization with Gaussian-process-based function forecasting
Jakubik, J.; Binding, A.; Feuerriegel, S.
2021. European journal of operational research. doi:10.1016/j.ejor.2021.02.053
Reports/Preprints
2020
Reports/Preprints
2019
Journal Articles
Reinforcement learning for opportunistic maintenance optimization
Kuhnle, A.; Jakubik, J.; Lanza, G.
2019. Production Engineering, 13 (1), 33–41. doi:10.1007/s11740-018-0855-7