02.01.2022
©Joachim Wendler - stock-adobe.com
MCML Researchers in Highly-Ranked Journals
28 Papers in 2022 Highlight Scientific Impact
We are happy to announce that MCML researchers are represented in 2022 with 28 papers in highly-ranked journals. Congrats to our researchers!
M. Schneble • G. Kauermann
Intensity Estimation on Geometric Networks with Penalized Splines.
Annals of Applied Statistics 16.2. Jun. 2022. DOI
Intensity Estimation on Geometric Networks with Penalized Splines.
Annals of Applied Statistics 16.2. Jun. 2022. DOI
R. Foygel Barber • M. Drton • N. Sturma • L. Weihs
Half-trek criterion for identifiability of latent variable models.
Annals of Statistics 50.6. Dec. 2022. DOI
Half-trek criterion for identifiability of latent variable models.
Annals of Statistics 50.6. Dec. 2022. DOI
R. Sonabend • A. Bender • S. Vollmer
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures.
Bioinformatics 38.17. Sep. 2022. DOI GitHub
Avoiding C-hacking when evaluating survival distribution predictions with discrimination measures.
Bioinformatics 38.17. Sep. 2022. DOI GitHub
E. Pretzsch • V. Heinemann • S. Stintzing • A. Bender • S. Chen • J. W. Holch • F. O. Hofmann • H. Ren • F. Böschand • H. Küchenhoff • J. Werner • M. K. Angele
EMT-Related Genes Have No Prognostic Relevance in Metastatic Colorectal Cancer as Opposed to Stage II/III: Analysis of the Randomised, Phase III Trial FIRE-3 (AIO KRK 0306; FIRE-3).
Cancers 14.22. Nov. 2022. DOI
EMT-Related Genes Have No Prognostic Relevance in Metastatic Colorectal Cancer as Opposed to Stage II/III: Analysis of the Randomised, Phase III Trial FIRE-3 (AIO KRK 0306; FIRE-3).
Cancers 14.22. Nov. 2022. DOI
W. Hartl • P. Kopper • A. Bender • F. Scheipl • A. G. Day • G. Elke • H. Küchenhoff
Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models.
Critical Care 26.7. Jan. 2022. DOI
Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models.
Critical Care 26.7. Jan. 2022. DOI
Q. Au • J. Herbinger • C. Stachl • B. Bischl • G. Casalicchio
Grouped Feature Importance and Combined Features Effect Plot.
Data Mining and Knowledge Discovery 36. Jun. 2022. DOI
Grouped Feature Importance and Combined Features Effect Plot.
Data Mining and Knowledge Discovery 36. Jun. 2022. DOI
K. Lotto • T. Nagler • M. Radic
Modeling Stochastic Data Using Copulas for Applications in the Validation of Autonomous Driving.
Electronics 11.24. Dec. 2022. DOI
Modeling Stochastic Data Using Copulas for Applications in the Validation of Autonomous Driving.
Electronics 11.24. Dec. 2022. DOI
M. Mittermeier • M. Weigert • D. Rügamer • H. Küchenhoff • R. Ludwig
A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble.
Environmental Research Letters 17.8. Jul. 2022. DOI
A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble.
Environmental Research Letters 17.8. Jul. 2022. DOI
M. van Smeden • G. Heinze • B. Van Calster • F. W. Asselbergs • P. E. Vardas • N. Bruining • P. de Jaegere • J. H. Moore • S. Denaxas • A.-L. Boulesteix • K. G. M. Moons
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.
European Heart Journal 43.31. Aug. 2022. DOI
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease.
European Heart Journal 43.31. Aug. 2022. DOI
K. Baßler • W. Fujii • T. S. Kapellos • E. Dudkin • N. Reusch • A. Horne • B. Reiz • M. D. Luecken • C. Osei-Sarpong • S. Warnat-Herresthal • L. Bonaguro • J. Schulte-Schrepping • A. Wagner • P. Günther • C. Pizarro • T. Schreiber • R. Knoll • L. Holsten • C. Kröger • E. De Domenico • M. Becker • K. Händler • C. T. Wohnhaas • F. Baumgartner • M. Köhler • H. Theis • M. Kraut • M. H. Wadsworth • T. K. Hughes • H. J. Ferreira • E. Hinkley • I. H. Kaltheuner • M. Geyer • C. Thiele • A. K. Shalek • A. Feißt • D. Thomas • H. Dickten • M. Beyer • P. Baum • N. Yosef • A. C. Aschenbrenner • T. Ulas • J. Hasenauer • F. J. Theis • D. Skowasch • J. L. Schultze
Alveolar macrophages in early stage COPD show functional deviations with properties of impaired immune activation.
Frontiers in Immunology 13. Jul. 2022. DOI
Alveolar macrophages in early stage COPD show functional deviations with properties of impaired immune activation.
Frontiers in Immunology 13. Jul. 2022. DOI
N. Palm • F. Stroebl • H. Palm
Parameter Individual Optimal Experimental Design and Calibration of Parametric Models.
IEEE Access 10. Oct. 2022. DOI GitHub
Parameter Individual Optimal Experimental Design and Calibration of Parametric Models.
IEEE Access 10. Oct. 2022. DOI GitHub
J. Moosbauer • M. Binder • L. Schneider • F. Pfisterer • M. Becker • M. Lang • L. Kotthoff • B. Bischl
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.
IEEE Transactions on Evolutionary Computation 26.6. Oct. 2022. DOI
Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers.
IEEE Transactions on Evolutionary Computation 26.6. Oct. 2022. DOI
M. Ali • M. Berrendorf • C. T. Hoyt • L. Vermue • M. Galkin • S. Sharifzadeh • A. Fischer • V. Tresp • J. Lehmann
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models under a Unified Framework.
IEEE Transactions on Pattern Analysis and Machine Intelligence 44.12. Dec. 2022. DOI GitHub
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models under a Unified Framework.
IEEE Transactions on Pattern Analysis and Machine Intelligence 44.12. Dec. 2022. DOI GitHub
G. Brasó • O. Cetintas • L. Leal-Taixé
Multi-Object Tracking and Segmentation Via Neural Message Passing.
International Journal of Computer Vision 130.12. Sep. 2022. DOI GitHub
Multi-Object Tracking and Segmentation Via Neural Message Passing.
International Journal of Computer Vision 130.12. Sep. 2022. DOI GitHub
K. E. Riehm • E. Badillo Goicoechea • F. M. Wang • E. Kim • L. R. Aldridge • C. P. Lupton-Smith • R. Presskreischer • T.-H. Chang • S. LaRocca • F. Kreuter • E. A. Stuart
Association of Non-Pharmaceutical Interventions to Reduce the Spread of SARS-CoV-2 With Anxiety and Depressive Symptoms: A Multi-National Study of 43 Countries.
International Journal of Public Health 67. Mar. 2022. DOI
Association of Non-Pharmaceutical Interventions to Reduce the Spread of SARS-CoV-2 With Anxiety and Depressive Symptoms: A Multi-National Study of 43 Countries.
International Journal of Public Health 67. Mar. 2022. DOI
E. Schede • J. Brandt • A. Tornede • M. Wever • V. Bengs • E. Hüllermeier • K. Tierney
A Survey of Methods for Automated Algorithm Configuration.
Journal of Artificial Intelligence Research 75. Oct. 2022. DOI
A Survey of Methods for Automated Algorithm Configuration.
Journal of Artificial Intelligence Research 75. Oct. 2022. DOI
C. Fritz • G. De Nicola • F. Günther • D. Rügamer • M. Rave • M. Schneble • A. Bender • M. Weigert • R. Brinks • A. Hoyer • U. Berger • H. Küchenhoff • G. Kauermann
Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany.
Journal of Computational and Graphical Statistics 32.3. Dec. 2022. DOI
Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany.
Journal of Computational and Graphical Statistics 32.3. Dec. 2022. DOI
C. Fritz • G. Kauermann
On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1. Jan. 2022. DOI
On the Interplay of Regional Mobility, Social Connectedness, and the Spread of COVID-19 in Germany.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1. Jan. 2022. DOI
A. Python • A. Bender • M. Blangiardo • J. B. Illian • Y. Lin • B. Liu • T. C. D. Lucas • S. Tan • Y. Wen • D. Svanidze • J. Yin
A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1. Jan. 2022. DOI
A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1. Jan. 2022. DOI
Z. Liu • Y. Ma • M. Hildebrandt • Y. Ouyang • Z. Xiong
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations.
Knowledge and Information Systems 64. Jul. 2022. DOI
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations.
Knowledge and Information Systems 64. Jul. 2022. DOI
V.-L. Nguyen • M. H. Shaker • E. Hüllermeier
How to measure uncertainty in uncertainty sampling for active learning.
Machine Learning 111.1. Jan. 2022. DOI
How to measure uncertainty in uncertainty sampling for active learning.
Machine Learning 111.1. Jan. 2022. DOI
B. A. Hersbach • D. S. Fischer • G. Masserdotti • D. Deeksha • K. Mojžišová • T. Waltzhöni • D. Rodriguez‐Terrones • M. Heinig • F. J. Theis • M. Götz • S. H. Stricker
Probing cell identity hierarchies by fate titration and collision during direct reprogramming.
Molecular Systems Biology 18.e11129. Sep. 2022. DOI
Probing cell identity hierarchies by fate titration and collision during direct reprogramming.
Molecular Systems Biology 18.e11129. Sep. 2022. DOI
M. Lotfollahi • M. Naghipourfar • M. D. Luecken • M. Khajavi • M. Büttner • M. Wagenstetter • Z. Avsec • A. Gayoso • N. Yosef • M. Interlandi • S. Rybakov • A. V. Misharin • F. J. Theis
Mapping single-cell data to reference atlases by transfer learning.
Nature Biotechnology 40. Aug. 2022. DOI
Mapping single-cell data to reference atlases by transfer learning.
Nature Biotechnology 40. Aug. 2022. DOI
G. Palla • H. Spitzer • M. Klein • D. S. Fischer • A. C. Schaar • L. B. Kuemmerle • S. Rybakov • I. L. Ibarra • O. Holmberg • I. Virshup • M. Lotfollahi • S. Richter • F. J. Theis
Squidpy: a scalable framework for spatial omics analysis.
Nature Methods 19. Jan. 2022. DOI
Squidpy: a scalable framework for spatial omics analysis.
Nature Methods 19. Jan. 2022. DOI
M. Lange • V. Bergen • M. Klein • M. Setty • B. Reuter • M. Bakhti • H. Lickert • M. Ansari • J. Schniering • H. B. Schiller • D. Pe’er • F. J. Theis
CellRank for directed single-cell fate mapping.
Nature Methods 19.2. Jan. 2022. DOI
CellRank for directed single-cell fate mapping.
Nature Methods 19.2. Jan. 2022. DOI
W. Ghada • E. Casellas • J. Herbinger • A. Garcia-Benadí • L. Bothmann • N. Estrella • J. Bech • A. Menzel
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar.
Remote Sensing 14.18. Sep. 2022. DOI
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar.
Remote Sensing 14.18. Sep. 2022. DOI
C. Fritz • E. Dorigatti • D. Rügamer
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany.
Scientific Reports 12.3930. Mar. 2022. DOI
Combining Graph Neural Networks and Spatio-temporal Disease Models to Predict COVID-19 Cases in Germany.
Scientific Reports 12.3930. Mar. 2022. DOI
S. Kevork • G. Kauermann
Bipartite Exponential Random Graph Models with Nodal Random Effects.
Social Networks 70. Jun. 2022. DOI
Bipartite Exponential Random Graph Models with Nodal Random Effects.
Social Networks 70. Jun. 2022. DOI
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