Thomas Kneib - RankMe

59 papers A 2Journal 52Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking pig detection and tracking under diverse and challenging conditions. Comput. Electron. Agric. Jonathan Henrich, Christian Post, Maximilian Zilke, Parth Shiroya, Emma Chanut, Amir Mollazadeh Yamchi, Ramin Yahyapour, Thomas Kneib, Imke Traulsen
2026	J	`jnl`	From XAI to Stories: A Factorial Study of LLM-Generated Explanation Quality. CoRR Fabian Lukassen, Jan Herrmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2026	J	`jnl`	LLM-Augmented Changepoint Detection: A Framework for Ensemble Detection and Automated Explanation. CoRR Fabian Lukassen, Christoph Weisser, Michael Schlee, Manish Kumar, Anton Thielmann, Benjamin Säfken, Thomas Kneib
2025	J	`jnl`	Benchmarking pig detection and tracking under diverse and challenging conditions. CoRR Jonathan Henrich, Christian Post, Maximilian Zilke, Parth Shiroya, Emma Chanut, Amir Mollazadeh Yamchi, Ramin Yahyapour, Thomas Kneib, Imke Traulsen
2025	J	`jnl`	Decoding synthetic news: an interpretable multimodal framework for the classification of news articles in a novel news corpus. Artif. Intell. Rev. Michael Schlee, Gillian Kant, Christoph Ehrling, Benjamin Säfken, Thomas Kneib
2025	J	`jnl`	Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection. J. Comput. Graph. Stat. Anton Thielmann, Thomas Kneib, Benjamin Säfken
2025	J	`jnl`	Graphical Transformation Models. CoRR Matthias Herp, Johannes Brachem, Michael Altenbuchinger, Thomas Kneib
2025	A	`conf`	Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals. UAI Marcel Arpogaus, Thomas Kneib, Thomas Nagler, David Rügamer
2025	J	`jnl`	Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals. CoRR Marcel Arpogaus, Thomas Kneib, Thomas Nagler, David Rügamer
2025	J	`jnl`	Probabilistic Topic Modeling With Transformer Representations. IEEE Trans. Neural Networks Learn. Syst. Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2024	J	`jnl`	A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery. CoRR Parastoo Semnani, Mihail Bogojeski, Florian Bley, Zizheng Zhang, Qiong Wu, Thomas Kneib, Jan Herrmann, Christoph Weisser, Florina Patcas, Klaus-Robert Müller
2024	—	`conf`	Entwicklung eines vielfältigen und anspruchsvollen Benchmark-Datensatzes für die Detektion von Schweinen in Bildern. GIL Jonathan Henrich, Christian Post, Thomas Kneib, Ramin Yahyapour, Sven Bingert, Imke Traulsen
2024	J	`jnl`	Interpretable Additive Tabular Transformer Networks. Trans. Mach. Learn. Res. Anton Frederik Thielmann, Arik Reuter, Thomas Kneib, David Rügamer, Benjamin Säfken
2024	A	`conf`	Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. AISTATS Anton Frederik Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
2024	J	`jnl`	One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading. Soc. Netw. Anal. Min. Gillian Kant, Ivan Zhelyazkov, Anton Thielmann, Christoph Weisser, Michael Schlee, Christoph Ehrling, Benjamin Säfken, Thomas Kneib
2024	J	`jnl`	Probabilistic Topic Modelling with Transformer Representations. CoRR Arik Reuter, Anton Thielmann, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2024	J	`jnl`	TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds. Ecol. Informatics Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker
2023	—	`conf`	Coherence based Document Clustering. ICSC Anton Thielmann, Christoph Weisser, Thomas Kneib, Benjamin Säfken
2023	J	`jnl`	Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. WIREs Data Mining Knowl. Discov. Fernando Marmolejo-Ramos, Mauricio Tejo, Marek Brabec, Jakub Kuzilek, Srecko Joksimovic, Vitomir Kovanovic, Jorge González, Thomas Kneib, Peter Bühlmann, Lucas Kook, Guillermo Briseño-Sánchez, Raydonal Ospina
2023	J	`jnl`	Multivariate distributional stochastic frontier models. Comput. Stat. Data Anal. Rouven Schmidt, Thomas Kneib
2023	J	`jnl`	Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean. CoRR Anton Thielmann, René-Marcel Kruse, Thomas Kneib, Benjamin Säfken
2023	J	`jnl`	Probabilistic time series forecasts with autoregressive transformation models. Stat. Comput. David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn
2023	J	`jnl`	Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data. Comput. Stat. Christoph Weisser, Christoph Gerloff, Anton Thielmann, Andre Python, Arik Reuter, Thomas Kneib, Benjamin Säfken
2023	J	`jnl`	Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data. Stat. Comput. Anja Rappl, Thomas Kneib, Stefan Lang, Elisabeth Bergherr
2023	J	`jnl`	TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds. CoRR Jonathan Henrich, Jan van Delden, Dominik Seidel, Thomas Kneib, Alexander S. Ecker
2022	J	`jnl`	A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes. Stat. Comput. Isa Marques, Thomas Kneib, Nadja Klein
2022	J	`jnl`	Correcting for sample selection bias in Bayesian distributional regression models. Comput. Stat. Data Anal. Paul F. V. Wiemann, Nadja Klein, Thomas Kneib
2022	J	`jnl`	Distributional Gradient Boosting Machines. CoRR Alexander März, Thomas Kneib
2022	—	`conf`	Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Arne Tillmann, Lindrit Kqiku, Delphine Reinhardt, Christoph Weisser, Benjamin Säfken, Thomas Kneib
2022	J	`jnl`	Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. CoRR Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib
2021	J	`jnl`	AuDoLab: Automatic document labelling and classification for extremely unbalanced data. J. Open Source Softw. Arne Tillmann, Anton Thielmann, Gillian Kant, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib
2021	J	`jnl`	Conditional Model Selection in Mixed-Effects Models with cAIC4. J. Stat. Softw. Benjamin Säfken, David Rügamer, Thomas Kneib, Sonja Greven
2021	—	`conf`	Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data. MISDOOM Mattias Luber, Christoph Weisser, Benjamin Säfken, Alexander Silbersdorff, Thomas Kneib, Krisztina Kis-Katos
2021	J	`jnl`	Transforming Autoregression: Interpretable and Expressive Time Series Forecast. CoRR David Rügamer, Philipp F. M. Baumann, Thomas Kneib, Torsten Hothorn
2020	J	`jnl`	Generalised joint regression for count data: a penalty extension for competitive settings. Stat. Comput. Hendrik van der Wurp, Andreas Groll, Thomas Kneib, Giampiero Marra, Rosalba Radice
2020	J	`jnl`	Noncrossing structured additive multiple-output Bayesian quantile regression models. Stat. Comput. Bruno Santos, Thomas Kneib
2020	—	`conf`	Towards a Taxonomy of Data Heterogeneity. Wirtschaftsinformatik (Zentrale Tracks) Jan Röder, Jan Muntermann, Thomas Kneib
2019	J	`jnl`	Generalized additive models with flexible response functions. Stat. Comput. Elmar Spiegel, Thomas Kneib, Fabian Otto-Sobotka
2019	J	`jnl`	LASSO-type penalization in the framework of generalized additive models for location, scale and shape. Comput. Stat. Data Anal. Andreas Groll, Julien Hambuckers, Thomas Kneib, Nikolaus Umlauf
2019	J	`jnl`	Multivariate effect priors in bivariate semiparametric recursive Gaussian models. Comput. Stat. Data Anal. Hauke Thaden, Nadja Klein, Thomas Kneib
2018	J	`jnl`	Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data. OR Spectr. Bernhard Baumgartner, Daniel Guhl, Thomas Kneib, Winfried J. Steiner
2018	J	`jnl`	Studying the occurrence and burnt area of wildfires using zero-one-inflated structured additive beta regression. Environ. Model. Softw. Laura Ríos-Pena, Thomas Kneib, Carmen Cadarso-Suárez, Nadja Klein, Manuel Marey-Pérez
2017	J	`jnl`	Bayesian regularisation in geoadditive expectile regression. Stat. Comput. Elisabeth Waldmann, Fabian Sobotka, Thomas Kneib
2017	J	`jnl`	Markov-switching generalized additive models. Stat. Comput. Roland Langrock, Thomas Kneib, Richard Glennie, Théo Michelot
2017	J	`jnl`	Pathway-Based Kernel Boosting for the Analysis of Genome-Wide Association Studies. Comput. Math. Methods Medicine Stefanie Friedrichs, Juliane Manitz, Patricia Burger, Christopher I. Amos, Angela Risch, Jenny Chang-Claude, Heinz-Erich Wichmann, Thomas Kneib, Heike Bickeböller, Benjamin Hofner
2016	J	`jnl`	A unified framework of constrained regression. Stat. Comput. Benjamin Hofner, Thomas Kneib, Torsten Hothorn
2016	J	`jnl`	Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach. Stat. Comput. Nadja Klein, Thomas Kneib
2015	J	`jnl`	Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm. Stat. Comput. María Xosé Rodríguez-Álvarez, Dae-Jin Lee, Thomas Kneib, María Durbán, Paul H. C. Eilers
2015	J	`jnl`	Semiparametric stochastic volatility modelling using penalized splines. Comput. Stat. Roland Langrock, Théo Michelot, Alexander Sohn, Thomas Kneib
2015	J	`jnl`	Variational approximations in geoadditive latent Gaussian regression: mean and quantile regression. Stat. Comput. Elisabeth Waldmann, Thomas Kneib
2014	J	`jnl`	Multilevel structured additive regression. Stat. Comput. Stefan Lang, Nikolaus Umlauf, Peter Wechselberger, Kenneth Harttgen, Thomas Kneib
2013	J	`jnl`	On confidence intervals for semiparametric expectile regression. Stat. Comput. Fabian Sobotka, Göran Kauermann, Linda Schulze Waltrup, Thomas Kneib
2013	J	`jnl`	Variable selection and model choice in structured survival models. Comput. Stat. Benjamin Hofner, Torsten Hothorn, Thomas Kneib
2012	J	`jnl`	Geoadditive expectile regression. Comput. Stat. Data Anal. Fabian Sobotka, Thomas Kneib
2010	J	`jnl`	Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection. Stat. Comput. Ludwig Fahrmeir, Thomas Kneib, Susanne Konrath
2010	J	`jnl`	Model-based Boosting 2.0. J. Mach. Learn. Res. Torsten Hothorn, Peter Bühlmann, Thomas Kneib, Matthias Schmid, Benjamin Hofner
2009	J	`jnl`	Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior. Comput. Stat. Data Anal. Fabian Scheipl, Thomas Kneib
2008	J	`jnl`	Conditional variable importance for random forests. BMC Bioinform. Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, Achim Zeileis
2006	J	`jnl`	Mixed model-based inference in geoadditive hazard regression for interval-censored survival times. Comput. Stat. Data Anal. Thomas Kneib