Carsten Jentsch

29 papers C 2Journal 22Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The impact of random tree depth - a novel randomization process for ensemble methods. Comput. Stat. Daniel Horn, Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Carsten Jentsch
2026	J	`jnl`	Word-Centered Semantic Graphs for Interpretable Diachronic Sense Tracking. CoRR Imene Kolli, Kai-Robin Lange, Jonas Rieger, Carsten Jentsch
2025	J	`jnl`	Identifying economic narratives in large text corpora - An integrated approach using Large Language Models. CoRR Tobias Schmidt, Kai-Robin Lange, Matthias Reccius, Henrik Müller, Michael Roos, Carsten Jentsch
2025	—	`conf`	Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models. Text2Story@ECIR Kai-Robin Lange, Tobias Schmidt, Matthias Reccius, Henrik Müller, Michael Roos, Carsten Jentsch
2025	J	`jnl`	Narrative Shift Detection: A Hybrid Approach of Dynamic Topic Models and Large Language Models. CoRR Kai-Robin Lange, Tobias Schmidt, Matthias Reccius, Henrik Müller, Michael Roos, Carsten Jentsch
2025	J	`jnl`	ttta: Tools for Temporal Text Analysis. CoRR Kai-Robin Lange, Niklas Benner, Lars Grönberg, Aymane Hachcham, Imene Kolli, Jonas Rieger, Carsten Jentsch
2024	J	`jnl`	AR-Sieve Bootstrap for the Random Forest and a simulation-based comparison with rangerts time series prediction. CoRR Cabrel Teguemne Fokam, Carsten Jentsch, Michel Lang, Markus Pauly
2024	J	`jnl`	LDAPrototype: a model selection algorithm to improve reliability of latent Dirichlet allocation. PeerJ Comput. Sci. Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer
2024	J	`jnl`	SpeakGer: A meta-data enriched speech corpus of German state and federal parliaments. CoRR Kai-Robin Lange, Carsten Jentsch
2024	J	`jnl`	Zeitenwenden: Detecting changes in the German political discourse. CoRR Kai-Robin Lange, Jonas Rieger, Niklas Benner, Carsten Jentsch
2024	J	`jnl`	spINAR: An R Package for Semiparametric and Parametric Estimation and Bootstrapping of Integer-Valued Autoregressive (INAR) Models. J. Open Source Softw. Maxime Faymonville, Javiera Riffo, Jonas Rieger, Carsten Jentsch
2023	C	`conf`	Debunking Disinformation with GADMO: A Topic Modeling Analysis of a Comprehensive Corpus of German-language Fact-Checks. LDK Jonas Rieger, Nico Hornig, Jonathan Flossdorf, Henrik Müller, Stephan Mündges, Carsten Jentsch, Jörg Rahnenführer, Christina Elmer
2023	J	`jnl`	Online monitoring of dynamic networks using flexible multivariate control charts. Soc. Netw. Anal. Min. Jonathan Flossdorf, Roland Fried, Carsten Jentsch
2023	J	`jnl`	Partial Autocorrelation Diagnostics for Count Time Series. Entropy Christian H. Weiß, Boris Aleksandrov, Maxime Faymonville, Carsten Jentsch
2023	J	`jnl`	Prototypes as Explanation for Time Series Anomaly Detection. CoRR Bin Li, Carsten Jentsch, Emmanuel Müller
2023	—	`conf`	Visually Analyzing Topic Change Points in Temporal Text Collections. VMV Cedric Krause, Jonas Rieger, Jonathan Flossdorf, Carsten Jentsch, Fabian Beck
2022	—	`conf`	Dynamic change detection in topics based on rolling LDAs. Text2Story@ECIR Jonas Rieger, Kai-Robin Lange, Jonathan Flossdorf, Carsten Jentsch
2022	J	`jnl`	Lex2Sent: A bagging approach to unsupervised sentiment analysis. CoRR Kai-Robin Lange, Jonas Rieger, Carsten Jentsch
2021	J	`jnl`	Change Detection in Dynamic Networks Using Network Characteristics. IEEE Trans. Signal Inf. Process. over Networks Jonathan Flossdorf, Carsten Jentsch
2021	—	`conf`	RollingLDA: An Update Algorithm of Latent Dirichlet Allocation to Construct Consistent Time Series from Textual Data. EMNLP (Findings) Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer
2021	J	`jnl`	Unsupervised Movement Detection in Indoor Positioning Systems. CoRR Jonathan Flossdorf, Anne Meyer, Dmitri Artjuch, Jaques Schneider, Carsten Jentsch
2020	—	`conf`	Assessing the Uncertainty of the Text Generating Process Using Topic Models. PKDD/ECML Workshops Jonas Rieger, Carsten Jentsch, Jörg Rahnenführer
2020	C	`conf`	Improving Latent Dirichlet Allocation: On Reliability of the Novel Method LDAPrototype. NLDB Jonas Rieger, Jörg Rahnenführer, Carsten Jentsch
2020	J	`jnl`	Improving Reliability of Latent Dirichlet Allocation by Assessing Its Stability Using Clustering Techniques on Replicated Runs. CoRR Jonas Rieger, Lars Koppers, Carsten Jentsch, Jörg Rahnenführer
2020	J	`jnl`	Random boosting and random^2 forests - A random tree depth injection approach. CoRR Tobias Markus Krabel, Thi Ngoc Tien Tran, Andreas Groll, Daniel Horn, Carsten Jentsch
2020	J	`jnl`	Time-dependent Poisson reduced rank models for political text data analysis. Comput. Stat. Data Anal. Carsten Jentsch, Eun Ryung Lee, Enno Mammen
2018	J	`jnl`	Guaranteed conditional ARL performance in the presence of autocorrelation. Comput. Stat. Data Anal. Christian H. Weiß, Detlef Steuer, Carsten Jentsch, Murat Caner Testik
2012	J	`jnl`	Hybrid bootstrap aided unit root testing. Comput. Stat. Carsten Jentsch, Jens-Peter Kreiss, Panagiotis Mantalos, Efstathios Paparoditis
2010	J	`jnl`	The multiple hybrid bootstrap - Resampling multivariate linear processes. J. Multivar. Anal. Carsten Jentsch, Jens-Peter Kreiss