| Monitoring succession after a non-cleared windthrow in a Norway spruce mountain forest using webcam, satellite vegetation indices and turbulent CO2 exchange M Matiu, L Bothmann, R Steinbrecher, A Menzel Agricultural and Forest Meteorology 244, 72-81, 2017 | 25 | 2017 |
| Realtime classification of fish in underwater sonar videos L Bothmann, M Windmann, G Kauermann Journal of the Royal Statistical Society Series C: Applied Statistics 65 (4 …, 2016 | 22 | 2016 |
| Automated wildlife image classification: An active learning tool for ecological applications L Bothmann, L Wimmer, O Charrakh, T Weber, H Edelhoff, W Peters, ... Ecological Informatics 77 (102231), 2023 | 20 | 2023 |
| Automated processing of webcam images for phenological classification L Bothmann, A Menzel, BH Menze, C Schunk, G Kauermann PloS one 12 (2), e0171918, 2017 | 16 | 2017 |
| Stratiform and convective rain classification using machine learning models and micro rain radar W Ghada, E Casellas, J Herbinger, A Garcia-Benadí, L Bothmann, ... Remote Sensing 14 (18), 4563, 2022 | 14 | 2022 |
| A guide to feature importance methods for scientific inference FK Ewald, L Bothmann, MN Wright, B Bischl, G Casalicchio, G König World Conference on Explainable Artificial Intelligence, 440-464, 2024 | 10 | 2024 |
| Interpretable Regional Descriptors: Hyperbox-Based Local Explanations S Dandl, G Casalicchio, B Bischl, L Bothmann Machine Learning and Knowledge Discovery in Databases: Research Track. ECML …, 2023 | 10 | 2023 |
| What Is Fairness? On the Role of Protected Attributes and Fictitious Worlds L Bothmann, K Peters, B Bischl https://arxiv.org/abs/2205.09622v5, 2024 | 9* | 2024 |
| Causal Fair Machine Learning via Rank-Preserving Interventional Distributions L Bothmann, S Dandl, M Schomaker 1st Workshop on Fairness and Bias in AI co-located with 26th European …, 2023 | 5 | 2023 |
| Statistical modeling of time‐dependent f MRI activation effects S Kalus, L Bothmann, C Yassouridis, M Czisch, PG Sämann, L Fahrmeir Human Brain Mapping 36 (2), 731-743, 2015 | 5 | 2015 |
| Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks? E Sommer, L Wimmer, T Papamarkou, L Bothmann, B Bischl, D Rügamer ICML 2024, 2024 | 4 | 2024 |
| Developing open source educational resources for machine learning and data science L Bothmann, S Strickroth, G Casalicchio, D Rügamer, M Lindauer, ... Proceedings of the Third Teaching Machine Learning and Artificial …, 2022 | 3 | 2022 |
| Evaluating machine learning models in non-standard settings: An overview and new findings R Hornung, M Nalenz, L Schneider, A Bender, L Bothmann, B Bischl, ... arXiv preprint arXiv:2310.15108, 2023 | 2 | 2023 |
| Overcoming Fairness Trade-offs via Pre-processing: A Causal Perspective C Leininger, S Rittel, L Bothmann arXiv preprint arXiv:2501.14710, 2025 | 1 | 2025 |
| Statistische Modellierung von EEG-abhängigen Stimuluseffekten in der fMRT-Analyse L Bothmann LMU Munich, 2012 | 1 | 2012 |
| Semiparametrische Regressionsmodelle: Erweiterungen basierend auf Shrinkage-und Spike & Slab-Prioris L Bothmann, L Fahrmeir Seminar: Semiparametrische Regression für longitudinale, räumliche und …, 2009 | 1 | 2009 |
| Trust Me, I Know the Way: Predictive Uncertainty in the Presence of Shortcut Learning L Wimmer, B Bischl, L Bothmann arXiv preprint arXiv:2502.09137, 2025 | | 2025 |
| Privilege Scores L Bothmann, PA Boustani, JM Alvarez, G Casalicchio, B Bischl, S Dandl arXiv preprint arXiv:2502.01211, 2025 | | 2025 |
| Causal Fair Machine Learning L Bothmann, K Peters, S Dandl, M Schomaker, B Bischl Statistical Computing 2024, 10, 2024 | | 2024 |
| Predicting the Validity and Reliability of Survey Questions B Felderer, L Repke, W Weber, J Schweisthal, L Bothmann OSF Preprints, 2024 | | 2024 |
