Christina Humer

Christina Humer

I am a PhD Student and Project Assistant at the Visual Data Science Lab. Before that, I studied Computer Science at Johannes Kepler University and finished the Masters Program with focus on Data Science in August 2020. In my Master Thesis, my research focused on Semantic Image Segmentation and Image Classification in the area of bark beetle detection.

My research topics at the Visual Data Science Lab include Machine Learning Interpretability and - in general - Explainable AI.


Publications

Peer-Reviewed Journal and Conference Papers

HOXAIStudy2 screenshot

Christina Humer, Andreas Hinterreiter, Benedikt Leichtmann, Martina Mara, Marc Streit
Reassuring, Misleading, Debunking: Comparing Effects of XAI Methods on Human Decisions
ACM Transactions on Interactive Intelligent Systems, 2024

CIME4R screenshot

Christina Humer, Rachel Nicholls, Henry Heberle, Moritz Heckmann
Michael Pühringer, Thomas Wolf, Maximilian Lübbesmeyer, Julian Heinrich, Julius Hillenbrand, Giulio Volpin, Marc Streit
CIME4R: Exploring iterative, AI-guided chemical reaction optimization campaigns in their parameter space
Journal of Cheminformatics, 2024

HOXAI@VISxAI screenshot

Andreas Hinterreiter, Christina Humer, Benedikt Leichtmann, Martina Mara, Marc Streit
Of Deadly Skullcaps and Amethyst Deceivers: Reflections on a Transdisciplinary Study on XAI and Trust
6th Workshop on Visualization for AI Explainability, 2023

Amumo screenshot

Christina Humer, Vidya Prasad, Marc Streit, Hendrik Strobelt
Understanding and Comparing Multi-Modal Models: Exploring the Latent Space of CLIP-like Models (CLIP, CyCLIP, CLOOB) Using Inter-Modal Pairs
6th Workshop on Visualization for AI Explainability, 2023
 Best Submission Award at VISxAI 2023

CIME screenshot

Christina Humer, Henry Heberle, Floriane Montanari, Thomas Wolf, Florian Huber, Ryan Henderson, Julian Heinrich, Marc Streit
ChemInformatics Model Explorer (CIME): Exploratory Analysis of Chemical Model Explanations
Journal of Cheminformatics, 2022


Theses


Selected Abstracts and Posters

Markus Trainer, Christina Humer, Patrick Adelberger, Marc Streit,
How Far Can Public Transport Take You?   Abstract     Poster  
IEEE VIS Workshop on Visualising Cities (CityVis '23), Melbourne, AU, 2023.


Christina Humer, Mohamed Elharty, Andreas Hinterreiter, Marc Streit,
Interactive Attribution-based Explanations for Image Segmentation   Abstract     Poster     Video  
EG Conference on Visualization (EuroVis '22), Rome, IT, 2022.