Reinforcement learning for opportunistic maintenance optimization. - Andreas Kuhnle; Johannes Jakubik; Gisela Lanza (Prod. Eng., 2019)

Directed particle swarm optimization with Gaussian-process-based function forecasting. - Johannes Jakubik; Adrian Binding; Stefan Feuerriegel (Eur. J. Oper. Res., 2021)

Designing a Human-in-the-Loop System for Object Detection in Floor Plans. - Johannes Jakubik; Patrick Hemmer; Michael Vössing; Benedikt Blumenstiel; Andrea Bartos; Kamilla Mohr (AAAI, 2022)

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. - Patrick Hemmer; Sebastian Schellhammer; Michael Vössing; Johannes Jakubik; Gerhard Satzger (IJCAI, 2022)

An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. - Johannes Jakubik; Jakob Schöffer; Vincent Hoge; Michael Vössing; Niklas Kühl 001 (PKDD/ECML Workshops (1), 2022)

Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. - Johannes Jakubik; Benedikt Blumenstiel; Michael Vössing; Patrick Hemmer (Wirtschaftsinformatik, 2022)

Learning to Defer with Limited Expert Predictions. - Patrick Hemmer; Lukas Thede; Michael Vössing; Johannes Jakubik; Niklas Kühl 001 (AAAI, 2023)

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. - Jakob Schoeffer; Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Gerhard Satzger (HHAI, 2023)

Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. - Johannes Jakubik; Michael Vössing; Nicolas Pröllochs; Dominik Bär; Stefan Feuerriegel (ICWSM, 2023)

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. - Johannes Jakubik; Michal Muszynski; Michael Vössing; Niklas Kühl 001; Thomas Brunschwiler (IGARSS, 2023)

What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. - Benedikt Blumenstiel; Johannes Jakubik; Hilde Kühne; Michael Vössing (NeurIPS, 2023)

Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. - Johannes Jakubik; Daniel Weber 018; Patrick Hemmer; Michael Vössing; Gerhard Satzger (Wirtschaftsinformatik, 2023)

AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. - S. Karthik Mukkavilli; Daniel Salles Civitarese; Johannes Schmude; Johannes Jakubik; Anne Jones; Nam Nguyen; Christopher Phillips; Sujit Roy; Shraddha Singh; Campbell D. Watson; Raghu K. Ganti; Hendrik F. Hamann; et al. (CoRR, 2023)

Foundation Models for Generalist Geospatial Artificial Intelligence. - Johannes Jakubik; Sujit Roy; C. E. Phillips; Paolo Fraccaro; Denys Godwin; Bianca Zadrozny; Daniela Szwarcman; Carlos Gomes; Gabby Nyirjesy; Blair Edwards; Daiki Kimura; Naomi Simumba; et al. (CoRR, 2023)

Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. - Simeon Allmendinger; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Leopold Müller; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (CoRR, 2023)

Sanitizing data for analysis: Designing systems for data understanding. - Joshua Holstein; Max Schemmer; Johannes Jakubik; Michael Vössing; Gerhard Satzger (Electron. Mark., 2023)

Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. - Leopold Müller; Patrick Hemmer; Moritz Queisner; Igor M. Sauer; Simeon Allmendinger; Johannes Jakubik; Michael Vössing; Niklas Kühl 001 (AAAI, 2024)

Explainability in AI-Based Applications - A Framework for Comparing Different Techniques. - Arne Grobrügge; Nidhi Mishra; Johannes Jakubik; Gerhard Satzger (CBI, 2024)

Improving Label Error Detection and Elimination with Uncertainty Quantification. - Johannes Jakubik; Michael Vössing; Manil Maskey; Christopher Wölfle; Gerhard Satzger (CoRR, 2024)

Prithvi WxC: Foundation Model for Weather and Climate. - Johannes Schmude; Sujit Roy; Will Trojak; Johannes Jakubik; Daniel Salles Civitarese; Shraddha Singh; Julian Kuehnert; Kumar Ankur; Aman Gupta; Christopher Phillips; Romeo Kienzler; Daniela Szwarcman; et al. (CoRR, 2024)

Multi-modal graph neural networks for localized off-grid weather forecasting. - Qidong Yang; Jonathan Giezendanner; Daniel Salles Civitarese; Johannes Jakubik; Eric Schmitt; Anirban Chandra; Jeremy Vila; Detlef Hohl; Christopher Hill; Campbell D. Watson; Sherrie Wang (CoRR, 2024)

Data-centric artificial intelligence: foundations and methods for deep learning. - Johannes Jakubik (2024)

Data-Centric Artificial Intelligence. - Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Jannis Walk; Gerhard Satzger (Bus. Inf. Syst. Eng., 2024)

TerraMesh: A Planetary Mosaic of Multimodal Earth Observation Data. - Benedikt Blumenstiel; Paolo Fraccaro; Valerio Marsocci; Johannes Jakubik; Stefano Maurogiovanni; Mikolaj Czerkawski; Rocco Sedona; Gabriele Cavallaro; Thomas Brunschwiler; Juan Bernabé-Moreno; Nicolas Longépé (CVPR Workshops, 2025)

AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions. - Jakob Schöffer; Johannes Jakubik; Michael Vössing; Niklas Kühl 001; Gerhard Satzger (J. Artif. Intell. Res., 2025)

Lossy Neural Compression for Geospatial Analytics: A Review. - Carlos Gomes; Isabelle Wittmann; Damien Robert 002; Johannes Jakubik; Tim Reichelt; Michele Martone; Stefano Maurogiovanni; Rikard Vinge; Jonas Hurst; Erik Scheurer; Rocco Sedona; Thomas Brunschwiler; et al. (CoRR, 2025)

Beyond the Visible: Multispectral Vision-Language Learning for Earth Observation. - Clive Tinashe Marimo; Benedikt Blumenstiel; Maximilian Nitsche; Johannes Jakubik; Thomas Brunschwiler (CoRR, 2025)

TerraMind: Large-Scale Generative Multimodality for Earth Observation. - Johannes Jakubik; Felix Yang; Benedikt Blumenstiel; Erik Scheurer; Rocco Sedona; Stefano Maurogiovanni; Jente Bosmans; Nikolaos Dionelis; Valerio Marsocci; Niklas Kopp; Rahul Ramachandran; Paolo Fraccaro; et al. (CoRR, 2025)

Hyperspectral Vision Transformers for Greenhouse Gas Estimations from Space. - Ruben Gonzalez Avilés; Linus Scheibenreif; Nassim Ait Ali Braham; Benedikt Blumenstiel; Thomas Brunschwiler; Ranjini B. Guruprasad; Damian Borth; Conrad M. Albrecht; Paolo Fraccaro; Devyani Lambhate; Johannes Jakubik (CoRR, 2025)