Teodor Chiaburu

Orcid: 0009-0009-5336-2455

According to our database1, Teodor Chiaburu authored at least 14 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
No Single Metric Tells the Whole Story: A Multi-Dimensional Evaluation Framework for Uncertainty Attributions.
CoRR, March, 2026

Uncertainty in Explainable Artificial Intelligence.
PhD thesis, 2026

2025
Uncertainty-Guided Expert-AI Collaboration for Efficient Soil Horizon Annotation.
CoRR, September, 2025

SoilNet: A Multimodal Multitask Model for Hierarchical Classification of Soil Horizons.
CoRR, August, 2025

Evaluating Time Series Models for Urban Wastewater Management: Predictive Performance, Model Complexity and Resilience.
CoRR, April, 2025

Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators.
Proceedings of the Explainable Artificial Intelligence, 2025

2024
Uncertainty in XAI: Human Perception and Modeling Approaches.
Mach. Learn. Knowl. Extr., June, 2024

Confident Teacher, Confident Student? A Novel User Study Design for Investigating the Didactic Potential of Explanations and their Impact on Uncertainty.
CoRR, 2024

Multisensor Data Fusion for Automatized Insect Monitoring (KInsecta).
CoRR, 2024

Interpretable Time Series Models for Wastewater Modeling in Combined Sewer Overflows.
CoRR, 2024

CoProNN: Concept-Based Prototypical Nearest Neighbors for Explaining Vision Models.
Proceedings of the Explainable Artificial Intelligence, 2024

Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation.
Proceedings of the 2nd Workshop on Public Interest AI (PI-AI 2024) co-located with the German Conference on AI (KI 2024), 2024

2023
Low Cost Machine Vision for Insect Classification.
Proceedings of the Intelligent Systems and Applications, 2023

2022
Towards ML Methods for Biodiversity: A Novel Wild Bee Dataset and Evaluations of XAI Methods for ML-Assisted Rare Species Annotations.
CoRR, 2022


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