Johannes Jakubik

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Learning Models

Artificial Intelligence

Empirical Evaluation

Top Venues

Wirtschaftsinformatik

Publications

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)
Johannes Jakubik, Michael Vössing, Manil Maskey, Christopher Wölfle, Gerhard Satzger
Improving Label Error Detection and Elimination with Uncertainty Quantification. CoRR (2024)
Jakob Schoeffer, Johannes Jakubik, Michael Vössing, Niklas Kuehl, Gerhard Satzger
On the Interdependence of Reliance Behavior and Accuracy in AI-Assisted Decision-Making. CoRR (2023)
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)
Joshua Holstein, Max Schemmer, Johannes Jakubik, Michael Vössing, Gerhard Satzger
Sanitizing data for analysis: Designing systems for data understanding. Electron. Mark. 33 (1) (2023)
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)
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 (2023)
Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. NeurIPS (2023)
Benedikt Blumenstiel, Johannes Jakubik, Hilde Kühne, Michael Vössing
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation. CoRR (2023)
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 (2023)
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)
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 (2023)
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
Learning to Defer with Limited Expert Predictions. CoRR (2023)
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 (2023)
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 (2023)
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 (2023)
Patrick Hemmer, Lukas Thede, Michael Vössing, Johannes Jakubik, Niklas Kühl
Learning to Defer with Limited Expert Predictions. AAAI (2023)
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)
Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. CoRR (2022)
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 (2022)
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 (2022)
Johannes Jakubik, Jakob Schöffer, Vincent Hoge, Michael Vössing, Niklas Kühl
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making. CoRR (2022)
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)
Johannes Jakubik, Benedikt Blumenstiel, Michael Vössing, Patrick Hemmer
Instance Selection Mechanisms for Human-in-the-Loop Systems in Few-Shot Learning. Wirtschaftsinformatik (2022)
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)
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)
Johannes Jakubik, Michael Vössing, Niklas Kühl, Jannis Walk, Gerhard Satzger
Data-centric Artificial Intelligence. CoRR (2022)
Johannes Jakubik, Adrian Binding, Stefan Feuerriegel
Directed particle swarm optimization with Gaussian-process-based function forecasting. CoRR (2021)
Johannes Jakubik, Adrian Binding, Stefan Feuerriegel
Directed particle swarm optimization with Gaussian-process-based function forecasting. Eur. J. Oper. Res. 295 (1) (2021)
Andreas Kuhnle, Johannes Jakubik, Gisela Lanza
Reinforcement learning for opportunistic maintenance optimization. Prod. Eng. 13 (1) (2019)