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ORCIDJohannes Jakubik
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2020 – today
- 2024
[b1]Johannes Jakubik:
Data-centric artificial intelligence: foundations and methods for deep learning. Karlsruhe Institute of Technology, Germany, 2024, pp. 1-299- [j4]Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger:
Data-Centric Artificial Intelligence. Bus. Inf. Syst. Eng. 66(4): 507-515 (2024) - [c11]Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl:
Redefining the Laparoscopic Spatial Sense: AI-Based Intra- and Postoperative Measurement from Stereoimages. AAAI 2024: 22948-22954 - [i17]Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger:
Improving Label Error Detection and Elimination with Uncertainty Quantification. CoRR abs/2405.09602 (2024) - [i16]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, Vishal Gaur, Rajat Shinde, Rohit Lal, Arlindo Da Silva, Jorge Luis Guevara Diaz, Anne Jones, Simon Pfreundschuh, Amy Lin, Aditi Sheshadri, Udaysankar Nair, Valentine Anantharaj, Hendrik F. Hamann, Campbell D. Watson, Manil Maskey, Tsengdar J. Lee, Juan Bernabé-Moreno, Rahul Ramachandran:
Prithvi WxC: Foundation Model for Weather and Climate. CoRR abs/2409.13598 (2024) - 2023
- [j3]Joshua Holstein
, Max Schemmer, Johannes Jakubik, Michael Vössing, Gerhard Satzger:
Sanitizing data for analysis: Designing systems for data understanding. Electron. Mark. 33(1): 52 (2023) - [c10]Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl:
Learning to Defer with Limited Expert Predictions. AAAI 2023: 6002-6011 - [c9]Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger:
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. HHAI 2023: 46-59 - [c8]Johannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel:
Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. ICWSM 2023: 423-434 - [c7]Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler:
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. IGARSS 2023: 5638-5641 - [c6]Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing:
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. NeurIPS 2023 - [c5]Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger:
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. Wirtschaftsinformatik 2023: 85 - [i15]Johannes Jakubik, Michal Muszynski, Michael Vössing, Niklas Kühl, Thomas Brunschwiler:
Toward Foundation Models for Earth Monitoring: Generalizable Deep Learning Models for Natural Hazard Segmentation. CoRR abs/2301.09318 (2023) - [i14]Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl:
Learning to Defer with Limited Expert Predictions. CoRR abs/2304.07306 (2023) - [i13]Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kühl, Gerhard Satzger:
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. CoRR abs/2304.08804 (2023) - [i12]Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing:
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. CoRR abs/2306.15521 (2023) - [i11]Johannes Jakubik, Daniel Weber, Patrick Hemmer, Michael Vössing, Gerhard Satzger:
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts. CoRR abs/2307.03003 (2023) - [i10]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, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam:
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR abs/2309.10808 (2023) - [i9]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, Linsong Chu, S. Karthik Mukkavilli, Devyani Lambhate, Kamal Das, Ranjini Bangalore, Dário A. B. Oliveira, Michal Muszynski, Kumar Ankur, Muthukumaran Ramasubramanian, Iksha Gurung, Sam Khallaghi, Hanxi Li, Michael Cecil, Maryam Ahmadi, Fatemeh Kordi, Hamed Alemohammad, Manil Maskey, Raghu K. Ganti, Kommy Weldemariam, Rahul Ramachandran:
Foundation Models for Generalist Geospatial Artificial Intelligence. CoRR abs/2310.18660 (2023) - [i8]Leopold Müller, Patrick Hemmer, Moritz Queisner, Igor Sauer, Simeon Allmendinger, Johannes Jakubik, Michael Vössing, Niklas Kühl:
Redefining the Laparoscopic Spatial Sense: AI-based Intra- and Postoperative Measurement from Stereoimages. CoRR abs/2311.09744 (2023) - [i7]Simeon Allmendinger, Patrick Hemmer, Moritz Queisner, Igor Sauer, Leopold Müller, Johannes Jakubik, Michael Vössing, Niklas Kühl:
Navigating the Synthetic Realm: Harnessing Diffusion-based Models for Laparoscopic Text-to-Image Generation. CoRR abs/2312.03043 (2023) - 2022
- [c4]Johannes Jakubik, Patrick Hemmer, Michael Vössing, Benedikt Blumenstiel, Andrea Bartos, Kamilla Mohr:
Designing a Human-in-the-Loop System for Object Detection in Floor Plans. AAAI 2022: 12524-12530 - [c3]Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger:
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. IJCAI 2022: 2478-2484 - [c2]Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl:
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. PKDD/ECML Workshops (1) 2022: 353-368 - [c1]Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer:
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. Wirtschaftsinformatik 2022 - [i6]Johannes Jakubik, Michael Vössing, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel:
Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. CoRR abs/2204.04245 (2022) - [i5]Patrick Hemmer, Sebastian Schellhammer, Michael Vössing, Johannes Jakubik, Gerhard Satzger:
Forming Effective Human-AI Teams: Building Machine Learning Models that Complement the Capabilities of Multiple Experts. CoRR abs/2206.07948 (2022) - [i4]Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer:
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. CoRR abs/2207.06835 (2022) - [i3]Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl:
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. CoRR abs/2208.04181 (2022) - [i2]Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger:
Data-centric Artificial Intelligence. CoRR abs/2212.11854 (2022) - 2021
- [j2]Johannes Jakubik, Adrian Binding, Stefan Feuerriegel:
Directed particle swarm optimization with Gaussian-process-based function forecasting. Eur. J. Oper. Res. 295(1): 157-169 (2021) - [i1]Johannes Jakubik, Adrian Binding, Stefan Feuerriegel:
Directed particle swarm optimization with Gaussian-process-based function forecasting. CoRR abs/2102.04172 (2021)
2010 – 2019
- 2019
- [j1]Andreas Kuhnle, Johannes Jakubik, Gisela Lanza:
Reinforcement learning for opportunistic maintenance optimization. Prod. Eng. 13(1): 33-41 (2019)
Coauthor Index
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