Nico Hambauer - RankMe

12 papers Journal 6Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Challenging the Performance-Interpretability Trade-Off: An Evaluation of Interpretable Machine Learning Models. Bus. Inf. Syst. Eng. Sven Kruschel, Nico Hambauer, Sven Weinzierl, Sandra Zilker, Mathias Kraus, Patrick Zschech
2025	—	`conf`	A Taxonomy for Uncertainty-Aware Explainable AI. ECIS Maximilian Förster, Michael Hagn, Nico Hambauer, Paula Kathrin Viktoria Jaki, Andreas Alexander Obermeier, Marc Pinski, Andreas Schauer, Alexander Schiller
2025	—	`conf`	Benchmarking Cluster-Then-Predict Models to Challenge Prevailing Global Machine Learning Models. HICSS Nico Hambauer, Theodor Stoecker, Patrick Zschech, Mathias Kraus
2025	J	`jnl`	Unveiling Location-Specific Price Drivers: A Two-Stage Cluster Analysis for Interpretable House Price Predictions. CoRR Paul Gümmer, Julian Rosenberger, Mathias Kraus, Patrick Zschech, Nico Hambauer
2024	J	`jnl`	Challenging the Performance-Interpretability Trade-off: An Evaluation of Interpretable Machine Learning Models. CoRR Sven Kruschel, Nico Hambauer, Sven Weinzierl, Sandra Zilker, Mathias Kraus, Patrick Zschech
2024	—	`conf`	Coupling Neural Networks Between Clusters for Better Personalized Care. HICSS Mathias Kraus, Nico Hambauer, Kristina Müller, Pavlina Kröckel, Nalika Ulapane, Arno De Caigny, Koen W. De Bock, Kristof Coussement
2024	—	`conf`	IGANN Sparse: Bridging Sparsity and Interpretability with Non-Linear Insight. ECIS Theodor Felix Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus
2024	J	`jnl`	IGANN Sparse: Bridging Sparsity and Interpretability with Non-linear Insight. CoRR Theodor Stoecker, Nico Hambauer, Patrick Zschech, Mathias Kraus
2022	—	`conf`	A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. Wirtschaftsinformatik Maximilian V. Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus
2022	J	`jnl`	A Light in the Dark: Deep Learning Practices for Industrial Computer Vision. CoRR Maximilian Harl, Marvin Herchenbach, Sven Kruschel, Nico Hambauer, Patrick Zschech, Mathias Kraus
2022	—	`conf`	GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. ECIS Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus
2022	J	`jnl`	GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints. CoRR Patrick Zschech, Sven Weinzierl, Nico Hambauer, Sandra Zilker, Mathias Kraus