Jakubik, Johannes

Foundation Models for Generalist Geospatial Artificial Intelligence

Jakubik, J., Roy, S., Phillips, C. E., Fraccaro, P., Godwin, D., Zadrozny, B., Szwarcman, D., Gomes, C., Nyirjesy, G., Edwards, B., et al. (2023) · arXiv

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 157

Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts

Hemmer, P., Schellhammer, S., Vössing, M., Jakubik, J., & Satzger, G. (2022) · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Machine Learning and Data ClassificationMachine Learning and Algorithms

Cited by 29

On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making

Schoeffer, J., Jakubik, J., Voessing, M., Kuehl, N., & Satzger, G. (2023) · Frontiers in Artificial Intelligence and Applications

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 15

Learning to Defer with Limited Expert Predictions

Hemmer, P., Thede, L., Vössing, M., Jakubik, J., & Kühl, N. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 10

Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation

Jakubik, J., Muszynski, M., Vössing, M., Kühl, N., & Brunschwiler, T. (2023) · IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

Remote-Sensing Image ClassificationLandslides and related hazards

Cited by 6