Johannes Jakubik
Johannes Jakubik
Ph.D. Candidate @ KIT | Visiting Researcher: AI for Climate Impact @ IBM Research
Verified email at - Homepage
Cited by
Cited by
Reinforcement learning for opportunistic maintenance optimization
A Kuhnle, J Jakubik, G Lanza
Production Engineering 13, 33-41, 2019
Directed particle swarm optimization with Gaussian-process-based function forecasting
J Jakubik, A Binding, S Feuerriegel
European Journal of Operational Research 295 (1), 157-169, 2021
Online Emotions During the Storming of the US Capitol: Evidence from the Social Media Network Parler
J Jakubik, M Vössing, D Bär, N Pröllochs, S Feuerriegel
International Conference on Web and Social Media (ICWSM), 2023
Data-centric Artificial Intelligence
J Jakubik, M Vössing, N Kühl, J Walk, G Satzger
arXiv preprint, 2022
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts
P Hemmer, S Schellhammer, M Vössing, J Jakubik, G Satzger
Proceedings of the International Joint Conference on Artificial Intelligence …, 2022
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making
J Jakubik, J Schöffer, V Hoge, M Vössing, N Kühl
Proceedings of the European Conference on Machine Learning and Principles …, 2022
Incorporating Financial News for Forecasting Bitcoin Prices Based on Long Short-Term Memory Networks
J Jakubik, A Nazemi, A Geyer-Schulz, FJ Fabozzi
Quantitative Finance, 2022
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning
J Jakubik, B Blumenstiel, M Voessing, P Hemmer
Proceedings of the International Conference on Wirtschaftsinformatik 2022, 2022
Data‐driven allocation of development aid towards Sustainable Development Goals: Evidence from HIV/AIDS
J Jakubik, S Feuerriegel
Production and Operations Management, 2022
Learning to Defer with Limited Expert Predictions
P Hemmer, L Thede, M Vössing, J Jakubik, N Kühl
Proceedings of the AAAI Conference on Artificial Intelligence 2023, 2023
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
SK Mukkavilli, DS Civitarese, J Schmude, J Jakubik, A Jones, N Nguyen, ...
arXiv preprint arXiv:2309.10808, 2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
B Blumenstiel, J Jakubik, H Kühne, M Vössing
NeurIPS'23, 2023
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making
J Schoeffer, J Jakubik, M Voessing, N Kuehl, G Satzger
The Second International Conference on Hybrid Human-Artificial Intelligence …, 2023
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation
J Jakubik, M Muszynski, M Vössing, N Kühl, T Brunschwiler
IGARSS'23, 2023
Burn Scar Detection Leveraging a Harmonized Landsat and Sentinel-2 Foundation Model
CE Phillips, S Roy, J Jakubik, B Zadrozny, P Fraccaro, R Ramachandran
AGU23, 2023
Foundation Models for Science: An Open Collaborative Initiative
R Ramachandran, I Gurung, M Ramasubramanian, S Roy, CE Phillips, ...
AGU23, 2023
Foundation Models for Generalist Geospatial Artificial Intelligence
J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ...
arXiv preprint arXiv:2310.18660, 2023
A Summer School Session on Mastering Geospatial Artificial Intelligence: From Data Production to Artificial Intelligence Foundation Model Development and Downstream …
M Maskey, G Cavallaro, DB Heras, P Fraccaro, B Edwards, I Gurung, ...
IEEE Geoscience and Remote Sensing Magazine 11 (3), 129-132, 2023
NASA-IBM HLS Foundation Model - Image Segmentation by Foundation Model Finetuning
J Jakubik, L Chu, P Fraccaro, R Bangalore, D Lambhate, K Das, ..., 2023
Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages
L Müller, P Hemmer, N Kühl, M Queisner, I Sauer, S Allmendinger, ...
Proceedings of the AAAI Conference on Artificial Intelligence - IAAI, 2023
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