Dennis Collaris

Orcid: 0000-0001-7612-9319

According to our database1, Dennis Collaris authored at least 11 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Cluster-Based Random Forest Visualization and Interpretation.
IEEE Trans. Vis. Comput. Graph., January, 2026

LangLasso: Interactive Cluster Descriptions through LLM Explanation.
CoRR, January, 2026

2025
Benefits of Machine Learning Explanations: Improved Learning in an AI-assisted Sequence Prediction Task.
Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

2024
RATE-Analytics: Next Generation Predictive Analytics for Data-Driven Banking and Insurance.
Proceedings of the Commit2Data, 2024

2023
StrategyAtlas: Strategy Analysis for Machine Learning Interpretability.
IEEE Trans. Vis. Comput. Graph., June, 2023

LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models.
Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

2022
Comparative evaluation of contribution-value plots for machine learning understanding.
J. Vis., 2022

Characterizing Data Scientists' Mental Models of Local Feature Importance.
Proceedings of the NordiCHI '22: Nordic Human-Computer Interaction Conference, Aarhus, Denmark, October 8, 2022

2020
Machine learning interpretability through contribution-value plots.
Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020

ExplainExplore: Visual Exploration of Machine Learning Explanations.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2018
Instance-Level Explanations for Fraud Detection: A Case Study.
CoRR, 2018


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