Ludwig Bothmann

32 papers A* 2Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Off-the-Shelf Models: A Lightweight and Accessible Machine Learning Pipeline for Ecologists Working with Image Data. CoRR Clare Chemery, Hendrik Edelhoff, Ludwig Bothmann
2026	J	`jnl`	Distance-based population density estimates from camera traps: Strong impact of technical choices in automated pipelines. Ecol. Informatics Phil Garthen, Hari Surya Charan Mudragada, Stefanie Schwarz, Hendrik Edelhoff, Manuel J. Steinbauer, Wibke Peters, Kagan Kuecuekaytekin, Ludwig Bothmann
2025	J	`jnl`	Are All Genders Equal in the Eyes of Algorithms? - Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness. CoRR Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher, Ludwig Bothmann, Christian Heumann, Stephanie Thiemichen
2025	—	`conf`	Are all Genders Equal in the Eyes of Algorithms? Analysing Search and Retrieval Algorithms for Algorithmic Gender Fairness. IC3K (KDIR) Stefanie Urchs, Veronika Thurner, Matthias Aßenmacher, Ludwig Bothmann, Christian Heumann, Stephanie Thiemichen
2025	J	`jnl`	Invariance Pair-Guided Learning: Enhancing Robustness in Neural Networks. CoRR Martin Surner, Abdelmajid Khelil, Ludwig Bothmann
2025	—	`conf`	Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective. EWAF Charlotte Leininger, Simon Rittel, Ludwig Bothmann
2025	J	`jnl`	Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective. CoRR Charlotte Leininger, Simon Rittel, Ludwig Bothmann
2025	J	`jnl`	Privilege Scores. CoRR Ludwig Bothmann, Philip A. Boustani, José M. Álvarez, Giuseppe Casalicchio, Bernd Bischl, Susanne Dandl
2025	J	`jnl`	TABFAIRGDT: A Fast Fair Tabular Data Generator using Autoregressive Decision Trees. CoRR Emmanouil Panagiotou, Benoît Ronval, Arjun Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi
2025	A*	`conf`	TabFairGDT: A Fast Fair Tabular Data Generator Using Autoregressive Decision Trees. ICDM Emmanouil Panagiotou, Benoît Ronval, Arjun Roy, Ludwig Bothmann, Bernd Bischl, Siegfried Nijssen, Eirini Ntoutsi
2025	J	`jnl`	Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning. CoRR Lisa Wimmer, Bernd Bischl, Ludwig Bothmann
2025	—	`conf`	What is Fairness? On Protected Attributes and Fictitious Worlds. EWAF Ludwig Bothmann, Kristina Peters, Bernd Bischl
2024	—	`conf`	A Guide to Feature Importance Methods for Scientific Inference. xAI (2) Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
2024	J	`jnl`	A Guide to Feature Importance Methods for Scientific Inference. CoRR Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
2024	—	`conf`	Can Generative Ai-based Data Balancing Mitigate Unfairness Issues in Machine Learning? EWAF Benoît Ronval, Siegfried Nijssen, Ludwig Bothmann
2024	A*	`conf`	Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? ICML Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer
2024	J	`jnl`	Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? CoRR Emanuel Sommer, Lisa Wimmer, Theodore Papamarkou, Ludwig Bothmann, Bernd Bischl, David Rügamer
2024	J	`jnl`	Fairness als Qualitätskriterium im Maschinellen Lernen - Rekonstruktion des philosophischen Konzepts und Implikationen für die Nutzung außergesetzlicher Merkmale bei qualifizierten Mietspiegeln. AStA Wirtschafts und Sozialstatistisches Arch. Ludwig Bothmann, Kristina Peters
2024	—	`conf`	mlr3summary: Concise and interpretable summaries for machine learning models. xAI (Late-breaking Work, Demos, Doctoral Consortium) Susanne Dandl, Marc Becker, Bernd Bischl, Giuseppe Casalicchio, Ludwig Bothmann
2024	J	`jnl`	mlr3summary: Concise and interpretable summaries for machine learning models. CoRR Susanne Dandl, Marc Becker, Bernd Bischl, Giuseppe Casalicchio, Ludwig Bothmann
2023	J	`jnl`	Automated wildlife image classification: An active learning tool for ecological applications. CoRR Ludwig Bothmann, Lisa Wimmer, Omid Charrakh, Tobias Weber, Hendrik Edelhoff, Wibke Peters, Hien Nguyen, Caryl Benjamin, Annette Menzel
2023	J	`jnl`	Automated wildlife image classification: An active learning tool for ecological applications. Ecol. Informatics Ludwig Bothmann, Lisa Wimmer, Omid Charrakh, Tobias Weber, Hendrik Edelhoff, Wibke Peters, Hien Nguyen, Caryl Benjamin, Annette Menzel
2023	—	`conf`	Causal Fair Machine Learning via Rank-Preserving Interventional Distributions. AEQUITAS@ECAI Ludwig Bothmann, Susanne Dandl, Michael Schomaker
2023	J	`jnl`	Causal Fair Machine Learning via Rank-Preserving Interventional Distributions. CoRR Ludwig Bothmann, Susanne Dandl, Michael Schomaker
2023	J	`jnl`	Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix
2023	—	`conf`	Interpretable Regional Descriptors: Hyperbox-Based Local Explanations. ECML/PKDD (3) Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann
2023	J	`jnl`	Interpretable Regional Descriptors: Hyperbox-Based Local Explanations. CoRR Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann
2022	—	`conf`	Developing Open Source Educational Resources for Machine Learning and Data Science. Teaching ML Ludwig Bothmann, Sven Strickroth, Giuseppe Casalicchio, David Rügamer, Marius Lindauer, Fabian Scheipl, Bernd Bischl
2022	J	`jnl`	Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar. Remote. Sens. Wael Ghada, Éric Casellas, Julia Herbinger, Albert Garcia-Benadí, Ludwig Bothmann, Nicole Estrella, Joan Bech, Annette Menzel
2022	J	`jnl`	What Is Fairness? Implications For FairML. CoRR Ludwig Bothmann, Kristina Peters, Bernd Bischl
2021	J	`jnl`	Developing Open Source Educational Resources for Machine Learning and Data Science. CoRR Ludwig Bothmann, Sven Strickroth, Giuseppe Casalicchio, David Rügamer, Marius Lindauer, Fabian Scheipl, Bernd Bischl
2016	—	`—`	Efficient statistical analysis of video and image data. Ludwig Bothmann