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Teodor Chiaburu

Uncertainty in XAI: Human Perception and Modeling Approaches
2024 · Teodor Chiaburu, Frank Haußer, et al. · Machine Learning and Knowledge Extraction · 43
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Towards a global spatial machine learning model for seasonal groundwater level predictions in Germany
2025 · Stefan Kunz, Alexander Schulz, et al. · Hydrology and earth system sciences · 21
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Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows
2024 · Teodor Chiaburu, Felix Bießmann · Procedia Computer Science · 9
Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators
2025 · Teodor Chiaburu, Felix Bießmann, et al. · Communications in computer and information science · 8
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SoilNet: A multimodal multitask model for hierarchical classification of soil horizons
2026 · Vipin Singh, Teodor Chiaburu, et al. · Geoderma · 5
Low Cost Machine Vision for Insect Classification
2024 · Danja Brandt, Martin Tschaikner, et al. · Lecture notes in networks and systems · 5
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CoProNN: Concept-Based Prototypical Nearest Neighbors for Explaining Vision Models
2024 · Teodor Chiaburu, Frank Haußer, et al. · Communications in computer and information science · 5
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Multisensor data fusion for automatized insect monitoring (KInsecta)
2023 · Martin Tschaikner, Danja Brandt, et al. · SPIE Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology · 5
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Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and Their Impact on Uncertainty
2026 · Teodor Chiaburu, Frank Haußer, et al. · Communications in computer and information science · 2
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Evaluating Time Series Models for Urban Wastewater Management: Predictive Performance, Model Complexity and Resilience
2025 · Vipin Singh, Tianheng Ling, et al. · International Conference on Smart and Sustainable Technologies (SpliTech) · 2
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Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation
2024 · Singh, Vipin, Ling, Tianheng, et al. · arXiv (Cornell University) · 2
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Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations
2022 · Chiaburu, Teodor, Biessmann, Felix, et al. · arXiv (Cornell University) · 2
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Verifying the Linear Representation Hypothesis: How Interpretable Are Vision SAEs?
2026 · Chiaburu, Teodor, Motzkus, Franz, et al. · arXiv (Cornell University)
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SoilNet App: AI-Assisted Expert-level Annotations of Soil Horizons
2026 · Vipin Singh, Joey Pruessing, et al. · International Joint Conference on Artificial Intelligence
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No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions
2026 · Schiller, Emily, Chiaburu, Teodor, et al. · arXiv (Cornell University)
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Uncertainty in Explainable Artificial Intelligence
2026 · Chiaburu, Teodor-Constantin
Uncertainty-Guided Expert-AI Collaboration for Efficient Soil Horizon Annotation
2025 · Chiaburu, Teodor, Singh, Vipin, et al. · arXiv (Cornell University)
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iNaturalist Wild Bees
2022 · Chiaburu, Teodor, Haußer, Frank, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 18
Citation count: 109
H-index: 5
I10-index: 2
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