Together with a range of amazing co-authors, I have published 5+ journal papers (including top outlets, e.g., Production and Operations Management and the European Journal on Operational Research) and 10+ conference papers (including top conferences like NeurIPS, AAAI, IJCAI). You can find a full list of publications I co-authored also on Google Scholar.
Selected peer-reviewed publications
Journal publications
Productions and Operations Management
FT-50, Journal ranking: A, IF: 4.6
Jakubik, J., & Feuerriegel, S. (2022). Data‐driven allocation of development aid toward sustainable development goals: Evidence from HIV/AIDS. Production and Operations Management, 31(6), 2739-2756. Paper
European Journal of Operational Research
Journal ranking: A, IF: 6.4
Jakubik, J., Binding, A., & Feuerriegel, S. (2021). Directed particle swarm optimization with Gaussian-process-based function forecasting. European Journal of Operational Research, 295(1), 157-169. Paper
Business & Information Systems Engineering
Jakubik, J., Vössing, M., Kühl, N., Walk, J., & Satzger, G. (2022). Data-centric Artificial Intelligence. Business & Information Systems Engineering (Forthcoming). Paper
Quantitative Finance
Journal ranking: B, IF: 2.0
Jakubik, J., Nazemi, A., Geyer-Schulz, A., & Fabozzi, F. J. (2023). Incorporating financial news for forecasting Bitcoin prices based on long short-term memory networks. Quantitative Finance, 23(2), 335-349. Paper
Electronic Markets
Journal ranking: B, IF: 8.5
Holstein, J., Schemmer, M., Jakubik, J., Vössing, M., Satzger, G. (2023). Sanitizing Data for Analysis: Designing Systems for Data Understanding. Electronic Markets, 33 (52). Paper
Conference papers
NeurIPS
Jakubik, J., Blumenstiel, B., Kühne, H., Vössing, M. (2023). What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. Accepted at NeurIPS 2023 Benchmarks & Datasets Track. Paper Website Code
AAAI
- Hemmer, P., Thede, L., Vössing, M., Jakubik, J., & Kühl, N. (2023). Learning to Defer with Limited Expert Predictions. AAAI’23. Paper Code
- Jakubik, J., Hemmer, P., Vössing, M., Blumenstiel, B., Bartos, A., & Mohr, K. (2022, June). Designing a Human-in-the-Loop System for Object Detection in Floor Plans. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 36, No. 11, pp. 12524-12530). Paper
IJCAI
Hemmer, P., Schellhammer, S., Vössing, M., Jakubik, J., & Satzger, G. Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. IJCAI’22. Paper Code
ICWSM
Jakubik, J., Vössing, M., Bär, D., Pröllochs, N., & Feuerriegel, S. (2022). Online Emotions During the Storming of the US Capitol: Evidence from the Social Media Network Parler. ICWSM’23. Paper Code
HHAI
Schoeffer, J., Jakubik, J., Voessing, M., Kuehl, N., & Satzger, G. (2023). On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. HHAI’23. Paper Code
IGARSS
Jakubik, J., Muszynski, M., Vössing, M., Kühl, N., & Brunschwiler, T. (2023). Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. International Geoscience and Remote Sensing Symposium. Paper
AGU
- Jakubik, J., Muszynski, M., Vössing, M., Kühl, N., & Brunschwiler, T. (2023). Unsupervised Domain Adaptation for Geospatial Semantic Segmentation. American Geophysical Union (AGU).
- B Zadrozny, R Bangalore, K Das, P Fraccaro, C Gomes, J Jakubik, Lambhate, D., Muszynski, M., Oliveira, D., Watson, C., & Weldemariam, K. (2023). Fine-tuning a Geospatial Foundation Model for Environmental Impact Monitoring Tasks. American Geophysical Union (AGU).
Open-source Work and Preprints
Foundation Models for Weather and Climate
Mukkavilli, S. K., Civitarese, D. S., Schmude, J., Jakubik, J., Jones, A., Nguyen, N., Phillips, C., Roy, S., Singh, S., Watson, C., Ganti, R., Hamann, H., Nair, U., Ramachandran,R., & Weldemariam, K. (2023). AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. Paper
Geospatial Foundation Models
Jakubik, J., Roy, S., Phillips, C. E., Fraccaro, P., Godwin, D., Zadrozny, B., …, & Ramachandran, R. (2023). Foundation Models for Generalist Geospatial Artificial Intelligence. Paper
Jakubik, J., Chu, L., Fraccaro, P., Gomes, C., Nyirjesy, G., Bangalore, … & Luanga, D. (2023). NASA-IBM HLS Foundation Model - Image Segmentation by Foundation Model Finetuning. Code
Jakubik, J., Chu, L., Fraccaro, P., Gomes, C., Nyirjesy, G., Bangalore, R., …, & Luanga, D. (2023). Prithvi-100M. HuggingFace for Weights and Demo
Jakubik, J., Fraccaro, P., Oliveira Borges, D., Muszynski, M., Weldemariam, K., Zadrozny, B., Ganti, R., & Mukkavilli, K., (2023). Prithvi-100M - Flood Mapping. HuggingFace for Weights and Demo
Maskey, M., Cavallaro, G., …, Jakubik, J., Ganti, R., Ramasubramanian, K., Ramachandran, R., Weldemariam, K (2023). A Summer School Session on Mastering Geospatial Artificial Intelligence (GeoAI): From Data Production to AI Foundation Model Development and Downstream Applications. IEEE Geoscience and Remote Sensing Magazine, 11(3), 129-132. Paper
Community service
Here is a selected overview of my community services, including reviewer activities and chairing activities.
Reviewer activities
Journals
- Journal of Artificial Intelligence Research (JAIR)
- Omega – The International Journal of Management Science
Conferences
- NeurIPS
- ECML
- AAAI
- CHI
- ICIS
- ECIS
- HICSS
- WI
- CBI
Chairing activities
I served as track chair at IEEE IGARSS’23.