| 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 | 21 | 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 | 19 | 2016 |
| Automated processing of webcam images for phenological classification L Bothmann, A Menzel, BH Menze, C Schunk, G Kauermann PloS one 12 (2), e0171918, 2017 | 13 | 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 | 9 | 2022 |
| 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 | 8 | 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 |
| 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 | 4 | 2023 |
| What Is Fairness? Philosophical Considerations and Implications For FairML L Bothmann, K Peters, B Bischl arXiv preprint arXiv:2205.09622, 2023 | 3 | 2023 |
| 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 |
| Statistische Modellierung von EEG-abhängigen Stimuluseffekten in der fMRT-Analyse L Bothmann | 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 |
| mlr3summary: Concise and interpretable summaries for machine learning models S Dandl, M Becker, B Bischl, G Casalicchio, L Bothmann arXiv preprint arXiv:2404.16899, 2024 | | 2024 |
| A Guide to Feature Importance Methods for Scientific Inference FK Ewald, L Bothmann, MN Wright, B Bischl, G Casalicchio, G König arXiv preprint arXiv:2404.12862, 2024 | | 2024 |
| 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 arXiv preprint arXiv:2402.01484, 2024 | | 2024 |
| 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 | | 2023 |
| 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 | | 2023 |
| Künstliche Intelligenz in der Strafverfolgung L Bothmann Cyberkriminalität, 55-78, 2022 | | 2022 |
| Efficient statistical analysis of video and image data L Bothmann lmu, 2016 | | 2016 |
| Package ‘RfmriVC’ L Bothmann, S Kalus, MS Kalus | | 2013 |
| Supplementary Materials to the Paper: 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, ... Signal 2 (1), 0, 0 | | |
