Johannes Jakubik

Orcid: 0000-0002-6235-0300

According to our database1, Johannes Jakubik authored at least 24 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
2025
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5
10
1
4
4
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions.
J. Artif. Intell. Res., 2025

2024
Data-Centric Artificial Intelligence.
Bus. Inf. Syst. Eng., August, 2024

Data-centric artificial intelligence: foundations and methods for deep learning.
PhD thesis, 2024

Multi-modal graph neural networks for localized off-grid weather forecasting.
CoRR, 2024

Prithvi WxC: Foundation Model for Weather and Climate.
CoRR, 2024

Improving Label Error Detection and Elimination with Uncertainty Quantification.
CoRR, 2024

Explainability in AI-Based Applications - A Framework for Comparing Different Techniques.
Proceedings of the 26th International Conference on Business Informatics, 2024

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Sanitizing data for analysis: Designing systems for data understanding.
Electron. Mark., December, 2023

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation.
CoRR, 2023

Foundation Models for Generalist Geospatial Artificial Intelligence.
CoRR, 2023

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation.
CoRR, 2023

Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts.
Proceedings of the Digital Responsibility: Social, 2023

What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making.
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

Learning to Defer with Limited Expert Predictions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning.
Proceedings of the WI for Grand Challenges, 2022

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Designing a Human-in-the-Loop System for Object Detection in Floor Plans.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Directed particle swarm optimization with Gaussian-process-based function forecasting.
Eur. J. Oper. Res., 2021

2019
Reinforcement learning for opportunistic maintenance optimization.
Prod. Eng., 2019


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