Carsten Jentsch

According to our database, Carsten Jentsch authored at least 28 papers between 2010 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The impact of random tree depth - a novel randomization process for ensemble methods.

Daniel Horn, Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Carsten Jentsch

Comput. Stat., January, 2026

Word-Centered Semantic Graphs for Interpretable Diachronic Sense Tracking.

Imene Kolli, Kai-Robin Lange, Jonas Rieger, Carsten Jentsch

CoRR, January, 2026

2025

Identifying economic narratives in large text corpora - An integrated approach using Large Language Models.

Tobias Schmidt, Kai-Robin Lange, Matthias Reccius, Henrik Müller, Michael Roos, Carsten Jentsch

CoRR, June, 2025

ttta: Tools for Temporal Text Analysis.

Kai-Robin Lange, Niklas Benner, Lars Grönberg, Aymane Hachcham, Imene Kolli, Jonas Rieger, Carsten Jentsch

CoRR, March, 2025

Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models.

Kai-Robin Lange, Tobias Schmidt, Matthias Reccius, Henrik Müller, Michael Roos, Carsten Jentsch

Proceedings of Text2Story, 2025

2024

LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation.

Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer

PeerJ Comput. Sci., 2024

spINAR: An R Package for Semiparametric and Parametric Estimation and Bootstrapping of Integer-Valued Autoregressive (INAR) Models.

Maxime Faymonville, Javiera Riffo, Jonas Rieger, Carsten Jentsch

J. Open Source Softw., 2024

Zeitenwenden: Detecting changes in the German political discourse.

Kai-Robin Lange, Jonas Rieger, Niklas Benner, Carsten Jentsch

CoRR, 2024

SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments.

Kai-Robin Lange, Carsten Jentsch

CoRR, 2024

AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction.

Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang, Markus Pauly

CoRR, 2024

2023

Online monitoring of dynamic networks using flexible multivariate control charts.

Jonathan Flossdorf, Roland Fried, Carsten Jentsch

Soc. Netw. Anal. Min., December, 2023

Partial Autocorrelation Diagnostics for Count Time Series.

Christian H. Weiß, Boris Aleksandrov, Maxime Faymonville, Carsten Jentsch

Entropy, January, 2023

Prototypes as Explanation for Time Series Anomaly Detection.

Bin Li, Carsten Jentsch, Emmanuel Müller

CoRR, 2023

Visually Analyzing Topic Change Points in Temporal Text Collections.

Cedric Krause, Jonas Rieger, Jonathan Flossdorf, Carsten Jentsch, Fabian Beck

Proceedings of the 28th International Symposium on Vision, Modeling, and Visualization, 2023

Debunking Disinformation with GADMO: A Topic Modeling Analysis of a Comprehensive Corpus of German-language Fact-Checks.

Jonas Rieger, Nico Hornig, Jonathan Flossdorf, Henrik Müller, Stephan Mündges, Carsten Jentsch, Jörg Rahnenführer, Christina Elmer

Proceedings of the 4th Conference on Language, Data and Knowledge, 2023

2022

Lex2Sent: A bagging approach to unsupervised sentiment analysis.

Kai-Robin Lange, Jonas Rieger, Carsten Jentsch

CoRR, 2022

Dynamic change detection in topics based on rolling LDAs.

Jonas Rieger, Kai-Robin Lange, Jonathan Flossdorf, Carsten Jentsch

Proceedings of Text2Story, 2022

2021

Change Detection in Dynamic Networks Using Network Characteristics.

Jonathan Flossdorf, Carsten Jentsch

IEEE Trans. Signal Inf. Process. over Networks, 2021

Unsupervised Movement Detection in Indoor Positioning Systems.

Jonathan Flossdorf, Anne Meyer, Dmitri Artjuch, Jaques Schneider, Carsten Jentsch

CoRR, 2021

RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data.

Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Time-dependent Poisson reduced rank models for political text data analysis.

Carsten Jentsch, Eun Ryung Lee, Enno Mammen

Comput. Stat. Data Anal., 2020

Random boosting and random^2 forests - A random tree depth injection approach.

Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch

CoRR, 2020

Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs.

Jonas Rieger, Lars Koppers, Carsten Jentsch, Jörg Rahnenführer

CoRR, 2020

Assessing the Uncertainty of the Text Generating Process Using Topic Models.

Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer

Proceedings of the ECML PKDD 2020 Workshops, 2020

Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype.

Jonas Rieger, Jörg Rahnenführer, Carsten Jentsch

Proceedings of the Natural Language Processing and Information Systems, 2020

2018

Guaranteed conditional ARL performance in the presence of autocorrelation.

Christian H. Weiß, Detlef Steuer, Carsten Jentsch, Murat Caner Testik

Comput. Stat. Data Anal., 2018

2012

Hybrid bootstrap aided unit root testing.

Carsten Jentsch, Jens-Peter Kreiss, Panagiotis Mantalos, Efstathios Paparoditis

Comput. Stat., 2012

2010

The multiple hybrid bootstrap - Resampling multivariate linear processes.

Carsten Jentsch, Jens-Peter Kreiss

J. Multivar. Anal., 2010