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Eine Ebene höher- Fakultäten (104180)
- Mathematik, Informatik und Statistik (5013)
- Informatik (1550)
- Mathematik (1222)
- Statistik (2226)
- Mathematik, Informatik und Statistik (5013)
Anzahl der Publikationen auf dieser Ebene: 60
2025
Müller, Simone 
ORCID: https://orcid.org/0000-0001-5830-8655 und Kranzlmüller, Dieter ORCID: https://orcid.org/0000-0002-8319-0123
(2025):
4D sensor perception in relativistic image processing.
In: Scientific Reports, Bd. 15, 5862 [Forthcoming]
ORCID: https://orcid.org/0000-0001-5830-8655 und Kranzlmüller, Dieter ORCID: https://orcid.org/0000-0002-8319-0123
(2025):
4D sensor perception in relativistic image processing.
In: Scientific Reports, Bd. 15, 5862 [Forthcoming]
2024
Blocher, Hannah ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469 und Jansen, Christoph ORCID: https://orcid.org/0000-0002-5648-4687
(2024):
Comparing machine learning algorithms by union-free generic depth.
In: International Journal of Approximate Reasoning, Bd. 169, 109166
[PDF, 1MB]
ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469 und Jansen, Christoph ORCID: https://orcid.org/0000-0002-5648-4687
(2024):
Comparing machine learning algorithms by union-free generic depth.
In: International Journal of Approximate Reasoning, Bd. 169, 109166
[PDF, 1MB]
Feuerriegel, Stefan ORCID: https://orcid.org/0000-0001-7856-8729; Hartmann, Jochen ORCID: https://orcid.org/0000-0002-1178-8708; Janiesch, Christian ORCID: https://orcid.org/0000-0002-8050-123X und Zschech, Patrick ORCID: https://orcid.org/0000-0002-1105-8086
(2024):
Generative AI.
In: Business & Information Systems Engineering, Bd. 66, Nr. 1: S. 111-126
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-7856-8729; Hartmann, Jochen ORCID: https://orcid.org/0000-0002-1178-8708; Janiesch, Christian ORCID: https://orcid.org/0000-0002-8050-123X und Zschech, Patrick ORCID: https://orcid.org/0000-0002-1105-8086
(2024):
Generative AI.
In: Business & Information Systems Engineering, Bd. 66, Nr. 1: S. 111-126
[PDF, 1MB]
Gabler, Laura ORCID: https://orcid.org/0000-0001-7905-4957 und Ufer, Stefan ORCID: https://orcid.org/0000-0002-3187-3459
(2024):
Training flexibility in dealing with additive situations.
In: Learning and Instruction, Bd. 92, 101902
[PDF, 3MB]
ORCID: https://orcid.org/0000-0001-7905-4957 und Ufer, Stefan ORCID: https://orcid.org/0000-0002-3187-3459
(2024):
Training flexibility in dealing with additive situations.
In: Learning and Instruction, Bd. 92, 101902
[PDF, 3MB]
Tutz, Gerhard ORCID: https://orcid.org/0000-0002-6628-3539
(2024):
Invariance of comparisons: Separation of item and person parameters beyond Rasch models.
In: Journal of Mathematical Psychology, Bd. 122, 102876
[PDF, 779kB]
ORCID: https://orcid.org/0000-0002-6628-3539
(2024):
Invariance of comparisons: Separation of item and person parameters beyond Rasch models.
In: Journal of Mathematical Psychology, Bd. 122, 102876
[PDF, 779kB]
2023
Aldenhoven, Céline Madeleine und Engelschall, Ralf Sascha
(2023):
The beauty of software architecture.
IEEE 20th International Conference on Software Architecture (ICSA), L'Aquila, Italy, 13.-17. März 2023.
In: 2023 IEEE 20th International Conference on Software Architecture (ICSA),
Piscataway: IEEE. S. 117-128
Chen, Haokun; Frikha, Ahmed; Krompass, Denis; Gu, Jindong und Tresp, Volker ORCID: https://orcid.org/0000-0001-9428-3686
(2023):
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 02.-06. October, 2023.
Jurie, Frédéric und Sharma, Gaurav (Hrsg.):
In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Piscataway, NJ: IEEE. S. 4826-4836
ORCID: https://orcid.org/0000-0001-9428-3686
(2023):
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation.
IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, 02.-06. October, 2023.
Jurie, Frédéric und Sharma, Gaurav (Hrsg.):
In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Piscataway, NJ: IEEE. S. 4826-4836
Kim, Seung Wook; Brown, Bradley; Yin, Kangxue; Kreis, Karsten; Schwarz, Katja; Li, Daiqing; Rombach, Robin; Torralba, Antonio und Fidler, Sanja
(2023):
NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 17. - 24. Juni 2023.
Brown, Michael S. (Hrsg.):
In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Piscataway: IEEE. S. 8496-8506
Kotovenko, Dmytro; Ma, Pingchuan; Milbich, Timo ORCID: https://orcid.org/0000-0002-5012-0874 und Ommer, Björn ORCID: https://orcid.org/0000-0003-0766-120X
(2023):
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023.
Institute of Electrical and Electronics Engineers (IEEE) (Hrsg.),
In: CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability,
Piscataway, NJ: IEEE. S. 1170-1181
ORCID: https://orcid.org/0000-0002-5012-0874 und Ommer, Björn ORCID: https://orcid.org/0000-0003-0766-120X
(2023):
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023.
Institute of Electrical and Electronics Engineers (IEEE) (Hrsg.),
In: CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability,
Piscataway, NJ: IEEE. S. 1170-1181
Lebmeier, Elisabeth; Aßenmacher, Matthias und Heumann, Christian
(17. März 2023):
On the Current State of Reproducibility and Reporting of Uncertainty for Aspect-Based Sentiment Analysis.
Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Grenoble, France, September 19--23, 2022, Proceedings, Part II, Grenoble, 19.9.22 - 23.9.22.
S. 537-552
[PDF, 676B]
Meng, Chenlin; Rombach, Robin; Gao, Ruiqi; Kingma, Diederik; Ermon, Stefano; Ho, Jonathan und Salimans, Tim
(2023):
On Distillation of Guided Diffusion Models.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 17. - 24. Juni 2023.
Brown, Michael S. (Hrsg.):
In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Piscataway: IEEE. S. 14297-14306
2022
Jin, Chenglu; Burleson, Wayne; Dijk, Marten van und Rührmair, Ulrich
(2022):
Programmable access-controlled and generic erasable PUF design and its applications.
In: Journal of Cryptographic Engineering, Bd. 12, Nr. 4: S. 413-432
2021
Faisal, Shahla und Tutz, Gerhard
(2021):
Imputation methods for high-dimensional mixed-type datasets by nearest neighbors.
In: Computers in Biology and Medicine, Bd. 135, 104577
Frey, Fabian; Langer, Stefan und Friedrich, Markus
(2021):
Combining Gesture and Voice Control for Mid-air Manipulation of CAD Models in VR Environments.
In: Paljic, Alexis; Peck, Tabitha; Braz, Jose und Bouatouch, Kadi (Hrsg.):
Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (HUCAPP). Setúbal, Portuagl: SciTePress. S. 119-127
Hutfluss, Alexander; Rohr, Veronika A.; Scheidt, Saray; Steinbichl, Linda; Bermudez-Cuamatzin, Eira; Slabbekoorn, Hans und Dingemanse, Niels J.
(2021):
Does song overlap signal aggressiveness? An experimental study with repeated measures in free-ranging great tits.
In: Animal Behaviour, Bd. 179: S. 199-211
Khurshid, Asma; Mohaimin, Madiha; Bilal, Anam; Ahmed, M. Ammar; Kidwai, Fahad; Shafiq, Nighat und Iqbal, Kulsum
(2021):
Dental Practice and COVID-19: A Brief Outlook.
In: Journal of Research in Medical and Dental Science, Bd. 9, Nr. 3: S. 154-164
Kosyakova, Yuliya; Olbrich, Lukas; Sakshaug, Joseph W. und Schwanhauser, Silvia
(2021):
Positive Learning or Deviant Interviewing? Mechanisms of Experience on Interviewer Behavior.
In: Journal of Survey Statistics and Methodology, Bd. 10, Nr. 2: S. 249-275
Radomski, Bartosz Michal; Seselja, Dunja und Naumann, Kim
(2021):
Rethinking the history of peptic ulcer disease and its relevance for network epistemology.
In: History and Philosophy of the Life Sciences, Bd. 43, Nr. 4, 113
Schwichtenberg, Helmut und Wiesnet, Franziskus
(2021):
LOGIC FOR EXACT REAL ARITHMETIC.
In: Logical Methods in Computer Science, Bd. 17, Nr. 2, 7
2018
Kogan, Daniel; Grabner, Alexander; Yanucil, Christopher; Faul, Christian und Ulaganathan, Vijay Kumar
(2018):
STAT3-enhancing germline mutations contribute to tumor-extrinsic immune evasion.
In: Journal of Clinical Investigation, Bd. 128, Nr. 5: S. 1867-1872
Le, Minh-Anh
(2018):
Anomaly Detection using Machine Learning Methods
Implementation and Benchmark Analysis of Selected Methods and Tuning Criteria.
Masterarbeit,
Fakultät für Mathematik, Informatik und Statistik, Ludwig-Maximilians-Universität München.
[PDF, 8MB]
Raithel, Sascha; Sarstedt, Marko ORCID: https://orcid.org/0000-0002-5424-4268 und Schütz, Tobias
(2018):
IBM SPSS Syntax. Eine anwendungsorientierte Einführung.
3., vollständig überarbeitete Auflage. München: Franz Vahlen.
ORCID: https://orcid.org/0000-0002-5424-4268 und Schütz, Tobias
(2018):
IBM SPSS Syntax. Eine anwendungsorientierte Einführung.
3., vollständig überarbeitete Auflage. München: Franz Vahlen.
2017
Brockhaus, Sarah; Melcher, Michael; Leisch, Friedrich und Greven, Sonja
(2017):
Boosting Flexible Functional Regression Models with a High Number of Functional Historical Effects.
In: Statistics and Computing, Bd. 27, Nr. 4: S. 913-926
Drießlein, David; Küchenhoff, Helmut ORCID: https://orcid.org/0000-0002-6372-2487; Tutz, Gerhard und Wippert, Pia Maria
(31. August 2017):
Variable selection and inference in a follow-up study on back pain.
Department of Statistics: Technical Reports, Nr. 206
[PDF, 519kB]
ORCID: https://orcid.org/0000-0002-6372-2487; Tutz, Gerhard und Wippert, Pia Maria
(31. August 2017):
Variable selection and inference in a follow-up study on back pain.
Department of Statistics: Technical Reports, Nr. 206
[PDF, 519kB]
Janitza, Silke
(10. April 2017):
On the overestimation of random forest’s out-of-bag error.
Department of Statistics: Technical Reports, Nr. 204
[PDF, 641kB]
Schauberger, Gunther; Groll, Andreas und Tutz, Gerhard
(2017):
Analysis of the importance of on-field covariates in the German Bundesliga.
In: Journal of Applied Statistics: S. 1-18
Schauberger, Gunther und Tutz, Gerhard
(2017):
Subject-specific modelling of paired comparison data: A lasso-type penalty approach.
In: Statistical Modelling, Bd. 17, Nr. 3: S. 223-243
[PDF, 548kB]
Schollmeyer, Georg; Jansen, Christoph und Augustin, Thomas
(31. August 2017):
A simple descriptive method for multidimensional item response theory based on stochastic dominance.
Department of Statistics: Technical Reports, Nr. 210
[PDF, 1MB]
Schollmeyer, Georg; Jansen, Christoph und Augustin, Thomas
(31. August 2017):
Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems.
Department of Statistics: Technical Reports, Nr. 209
[PDF, 2MB]
2016
Berger-Tal, Reut; Berner-Aharon, Na'ama; Aharon, Shlomi; Tuni, Cristina und Lubin, Yael
(2016):
Good reasons to leave home: proximate dispersal cues in a social spider.
In: Journal of Animal Ecology, Bd. 85, Nr. 4: S. 1035-1042
Döring, Dorothea; Haberland, Barbara E.; Bauer, Alexander; Dobenecker, Britta; Hack, Rüdiger; Schmidt, Joerg und Erhard, Michael H.
(2016):
Behavioral observations in dogs in 4 research facilities: Do they use their enrichment?
In: Journal of Veterinary Behavior-Clinical Applications and Research, Bd. 13: S. 55-62
Greven, Sonja und Scheipl, Fabian
(2016):
Comment. "Smoothing parameter and model selection for general smooth models".
In: Journal of the American Statistical Association, Bd. 111, Nr. 516: S. 1568-1573
Lee, Hye-Won; Louton, Helen; Schwarzer, Angela; Rauch, Elke; Probst, Amrei; Shao, Shuai; Schmidt, Paul; Erhard, Michael H. und Bergmann, Shana
(2016):
Effects of multiple daily litter applications on the dust bathing behaviour of laying hens kept in an enriched cage system.
In: Applied Animal Behaviour Science, Bd. 178: S. 51-59
Pößnecker, Wolfgang und Tutz, Gerhard
(18. Januar 2016):
A General Framework for the Selection of Effect Type in Ordinal Regression.
Department of Statistics: Technical Reports, Nr. 186
[PDF, 625kB]
2015
Draisma, Harmen H. M.; Pool, Rene; Kobl, Michael; Jansen, Rick; Petersen, Ann-Kristin; Vaarhorst, Anika A. M.; Yet, Idil; Haller, Toomas; Demirkan, Ayse; Esko, Tonu; Zhu, Gu; Boehringer, Stefan; Beekman, Marian; Klinken, Jan Bert van; Roemisch-Margl, Werner; Prehn, Cornelia; Adamski, Jerzy; Craen, Anton J. M. de; Leeuwen, Elisabeth M. van; Amin, Najaf; Dharuri, Harish; Westra, Harm-Jan; Franke, Lude; Geus, Eco J. C. de; Hottenga, Jouke Jan; Willemsen, Gonneke; Henders, Anjali K.; Montgomery, Grant W.; Nyholt, Dale R.; Whitfield, John B.; Penninx, Brenda W.; Spector, Tim D.; Metspalu, Andres; Slagboom, P. Eline; Dijk, Ko Willems van; Hoen, Peter A. C. 't; Strauch, Konstantin; Martin, Nicholas G.; Ommen, Gert-Jan B. van; Illig, Thomas; Bell, Jordana T.; Mangino, Massimo; Suhre, Karsten; McCarthy, Mark I.; Gieger, Christian; Isaacs, Aaron; Duijn, Cornelia M. van und Boomsma, Dorret I.
(2015):
Genome-wide association study identifies novel genetic variants contributing to variation in blood metabolite levels.
In: Nature Communications, Bd. 6, 7208
[PDF, 1MB]
Scheipl, Fabian und Greven, Sonja
(11. Juni 2015):
Identifiability in penalized function-on-function regression models.
Department of Statistics: Technical Reports, Nr. 125
[PDF, 825kB]
2014
Günther, Felix
(2014):
Subjective Well-Being over the Life Span: Modeling Age-, Period-, and Cohort-Effects in the Additive Mixed Model Framework.
Bachelorarbeit,
Ludwig-Maximilians-Universität München
[PDF, 774kB]
[PDF, 774kB]
Hess, Wolfgang; Tutz, Gerhard und Gertheiss, Jan
(23. Februar 2014):
A Flexible Link Function for Discrete-Time Duration Models.
Department of Statistics: Technical Reports, Nr. 155
[PDF, 626kB]
Laubender, Rüdiger P. und Mansmann, Ulrich
(24. Dezember 2014):
Estimating individual treatment effects from
responses and a predictive biomarker in a
parallel group RCT.
Department of Statistics: Technical Reports, Nr. 176
[PDF, 2MB]
Möst, Stephanie; Pößnecker, Wolfgang und Tutz, Gerhard
(28. Mai 2014):
Variable Selection for Discrete Competing Risks Models.
Department of Statistics: Technical Reports, Nr. 161
[PDF, 729kB]
Rospleszcz, Susanne; Janitza, Silke und Boulesteix, Anne-Laure
(7. August 2014):
Categorical variables with many categories are
preferentially selected in model selection procedures for multivariable regression models on bootstrap samples.
Department of Statistics: Technical Reports, Nr. 164
[PDF, 604kB]
Schneeweiß, Hans
(30. Juni 2014):
The linear GMM model with singular covariance matrix due to the elimination of a nuisance parameter.
Department of Statistics: Technical Reports, Nr. 165
[PDF, 307kB]
Tutz, Gerhard und Ramzan, Shahla
(13. Oktober 2014):
Improved Methods for the Imputation of Missing Data by Nearest Neighbor Methods.
Department of Statistics: Technical Reports, Nr. 172
[PDF, 672kB]
2013
Hapfelmeier, Alexander und Ulm, Kurt
(15. Januar 2013):
Variable selection with Random Forests for missing data.
Department of Statistics: Technical Reports, Nr. 137
[PDF, 563kB]
Kalus, Stefanie; Sämann, Philipp; Czisch, Michael und Fahrmeir, Ludwig
(26. Juni 2013):
fMRI activation detection with EEG priors.
Department of Statistics: Technical Reports, Nr. 146
[PDF, 1MB]
Koncsik, Imre
(2013):
Klärung des Informationsbegriffs. Ein interdisziplinärer Versuch.
In: Grenzgebiete der Wissenschaft, Bd. 62, Nr. 1: S. 29-62
[PDF, 1MB]
Tutz, Gerhard und Petry, Sebastian
(21. Mai 2013):
Generalized Additive Models with Unknown Link Function Including Variable Selection.
Department of Statistics: Technical Reports, Nr. 145
[PDF, 2MB]
Unkel, Steffen; Gower, John C. und Trendafilov, Nickolay T.
(10. Mai 2013):
On the Procrustean analogue of individual differences scaling (INDSCAL).
Department of Statistics: Technical Reports, Nr. 144
[PDF, 933kB]
2012
Heinzl, Felix und Tutz, Gerhard
(12. Juni 2012):
Clustering in linear mixed models with a group fused lasso penalty.
Department of Statistics: Technical Reports, Nr. 123
[PDF, 606kB]
Hommel, Wolfgang
(2012):
Integriertes Management von Security-Frameworks.
Habilitationsschrift,
Ludwig-Maximilians-Universität München
[PDF, 11MB]
[PDF, 11MB]
Maier, Thomas und Siedentop, Heinz
(9. Juli 2012):
Stability of impurities with Coulomb potential in graphene with homogeneous magnetic field.
In: Journal of Mathematical Physics, Bd. 53, 095207
[PDF, 423kB]
Tutz, Gerhard; Pößnecker, Wolfgang und Uhlmann, Lorenz
(21. Juni 2012):
Variable Selection in General Multinomial Logit Models.
Department of Statistics: Technical Reports, Nr. 126
[PDF, 567kB]
Walter, Gero
(4. Oktober 2012):
A Technical Note on the Dirichlet-Multinomial Model. The Dirichlet Distribution as the Canonically Constructed Conjugate Prior.
Department of Statistics: Technical Reports, Nr. 131
[PDF, 432kB]
2011
Reisert, Pascal
(31. März 2011):
Tame Harmonic Bundles on Punctured Riemann Surfaces.
Masterarbeit,
Fakultät für Physik, Ludwig-Maximilians-Universität München.
[PDF, 15MB]
2009
Hofner, Benjamin; Hothorn, Torsten; Kneib, Thomas und Schmid, Matthias
(10. Dezember 2009):
A Framework for Unbiased Model Selection Based on Boosting.
Department of Statistics: Technical Reports, Nr. 72
[PDF, 914kB]
Meyer, Robert
(31. Dezember 2009):
Analyse und Erweiterung von Vorlesungsaufzeichnungen der UnterrichtsMitschau aus der Perspektive der gemäßigt konstruktivistischen Lerntheorie.
Diplomarbeit,
Fakultät für Mathematik, Informatik und Statistik, Ludwig-Maximilians-Universität München.
[PDF, 4MB]
Scharl, Theresa; Grün, Bettina und Leisch, Friedrich
(2009):
Mixtures of Regression Models for Time-Course Gene Expression Data: Evaluation of Initialization and Random Effects.
Department of Statistics: Technical Reports, Nr. 71
[PDF, 735kB]
Scharl, Theresa; Voglhuber, Ingo und Leisch, Friedrich
(2009):
Exploratory and Inferential Analysis of Gene Cluster Neighborhood Graphs.
Department of Statistics: Technical Reports, Nr. 70
[PDF, 1MB]
2007
Steffen, Andreas und Apostolakis, Joannis
(2007):
On the ease of predicting the thermodynamic properties of beta-cyclodextrin inclusion complexes.
In: Chemistry Central Journal
1:29
[PDF, 309kB]
2002
Fahrmeir, Ludwig und Gössl, C.
(2002):
Semiparametric Bayesian models for human brain mapping.
In: Statistical Modelling, Bd. 2, Nr. 3: S. 235-249
[PDF, 441kB]