Dennis Collaris

12 papers A 1B 2C 1Misc 1Journal 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Cluster-Based Random Forest Visualization and Interpretation.
IEEE Trans. Vis. Comput. Graph.
Max Sondag, Christofer Meinecke, Dennis Collaris, Tatiana von Landesberger, Stef van den Elzen
2026 J jnl
LangLasso: Interactive Cluster Descriptions through LLM Explanation.
CoRR
Raphael Buchmüller, Dennis Collaris, Linhao Meng, Angelos Chatzimparmpas
2025 A conf
Benefits of Machine Learning Explanations: Improved Learning in an AI-assisted Sequence Prediction Task.
IUI
Yu Liang, Dennis Collaris, Martijn C. Willemsen, Jarke J. van Wijk
2025 J jnl
Cluster-Based Random Forest Visualization and Interpretation.
CoRR
Max Sondag, Christofer Meinecke, Dennis Collaris, Tatiana von Landesberger, Stef van den Elzen
2024 — ch.
RATE-Analytics: Next Generation Predictive Analytics for Data-Driven Banking and Insurance.
Commit2Data
Dennis Collaris, Mykola Pechenizkiy, Jarke J. van Wijk
2023 B conf
LEMON: Alternative Sampling for More Faithful Explanation Through Local Surrogate Models.
IDA
Dennis Collaris, Pratik Gajane, Joost Jorritsma, Jarke J. van Wijk, Mykola Pechenizkiy
2023 J jnl
StrategyAtlas: Strategy Analysis for Machine Learning Interpretability.
IEEE Trans. Vis. Comput. Graph.
Dennis Collaris, Jarke J. van Wijk
2022 Misc conf
Characterizing Data Scientists' Mental Models of Local Feature Importance.
NordiCHI
Dennis Collaris, Hilde J. P. Weerts, Daphne Miedema, Jarke J. van Wijk, Mykola Pechenizkiy
2022 J jnl
Comparative evaluation of contribution-value plots for machine learning understanding.
J. Vis.
Dennis Collaris, Jarke J. van Wijk
2020 B conf
ExplainExplore: Visual Exploration of Machine Learning Explanations.
PacificVis
Dennis Collaris, Jarke J. van Wijk
2020 C conf
Machine learning interpretability through contribution-value plots.
VINCI
Dennis Collaris, Jarke J. van Wijk
2018 J jnl
Instance-Level Explanations for Fraud Detection: A Case Study.
CoRR
Dennis Collaris, Leo M. Vink, Jarke J. van Wijk