Stebėti
Johannes Jakubik
Johannes Jakubik
Postdoc @ IBM Research Europe
Patvirtintas el. paštas ethz.ch - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Reinforcement learning for opportunistic maintenance optimization
A Kuhnle, J Jakubik, G Lanza
Production Engineering 13, 33-41, 2019
732019
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
272021
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
232022
Data-centric Artificial Intelligence
J Jakubik, M Vössing, N Kühl, J Walk, G Satzger
Business & Information Systems Engineering, 2024
222024
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
192023
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
182023
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
132022
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
82023
Data‐driven allocation of development aid towards Sustainable Development Goals: Evidence from HIV/AIDS
J Jakubik, S Feuerriegel
Production and Operations Management, 2022
82022
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
72022
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation
B Blumenstiel, J Jakubik, H Kühne, M Vössing
NeurIPS'23, 2023
62023
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
52023
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
52023
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
52022
Sanitizing Data for Analysis: Designing Systems for Data Understanding
J Holstein, M Schemmer, J Jakubik, M Vössing, G Satzger
Electronic Markets, 2023
42023
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
32023
Designing a Human-in-the-Loop System for Object Detection in Floor Plans
J Jakubik, P Hemmer, M Vössing, B Blumenstiel, A Bartos, K Mohr
Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 12524 …, 2022
32022
Entwicklung eines Human-in-the-Loop-Systems zur Objekterkennung in Grundrissen
J Jakubik, P Hemmer, M Vössing, B Blumenstiel, A Bartos, K Mohr
Künstliche Intelligenz im Bauwesen: Grundlagen und Anwendungsfälle, 121-136, 2024
2024
Assessing Performance of a Foundation Model for Multi-Label Image Classification of Satellite Imagery
M Ahmadi, S Khallaghi, M Cecil, S Roy, J Jakubik, P Fraccaro, ...
AGU23, 2023
2023
Exploring Effectiveness of Foundation Models for Downstream Applications on Satellite Data
H Alemohammad, H Li, M Cecil, S Khallaghi, D Godwin, M Ahmadi, ...
AGU23, 2023
2023
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