Thomas Kneib
Orcid: 0000-0003-3390-0972
According to our database1,
Thomas Kneib
authored at least 47 papers
between 2006 and 2024.
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Bibliography
2024
One-way ticket to the moon? An NLP-based insight on the phenomenon of small-scale neo-broker trading.
Soc. Netw. Anal. Min., December, 2024
A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery.
CoRR, 2024
Entwicklung eines vielfältigen und anspruchsvollen Benchmark-Datensatzes für die Detektion von Schweinen in Bildern.
Proceedings of the 44. GIL-Jahrestagung, Informatik in der Land-, Forst- und Ernährungswirtschaft, 2024
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Spatial joint models through Bayesian structured piecewise additive joint modelling for longitudinal and time-to-event data.
Stat. Comput., December, 2023
Comput. Stat. Data Anal., November, 2023
Pseudo-document simulation for comparing LDA, GSDMM and GPM topic models on short and sparse text using Twitter data.
Comput. Stat., June, 2023
Stat. Comput., April, 2023
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., 2023
TreeLearn: A Comprehensive Deep Learning Method for Segmenting Individual Trees from Forest Point Clouds.
CoRR, 2023
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023
2022
A non-stationary model for spatially dependent circular response data based on wrapped Gaussian processes.
Stat. Comput., 2022
Comput. Stat. Data Anal., 2022
Privacy Estimation on Twitter: Modelling the Effect of Latent Topics on Privacy by Integrating XGBoost, Topic and Generalized Additive Models.
Proceedings of the IEEE Smartworld, 2022
2021
J. Stat. Softw., 2021
AuDoLab: Automatic document labelling and classification for extremely unbalanced data.
J. Open Source Softw., 2021
CoRR, 2021
Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation, Sentiment Analysis and Structural Break Models for Large Scale Data.
Proceedings of the Disinformation in Open Online Media, 2021
2020
Generalised joint regression for count data: a penalty extension for competitive settings.
Stat. Comput., 2020
Stat. Comput., 2020
2019
Comput. Stat. Data Anal., 2019
LASSO-type penalization in the framework of generalized additive models for location, scale and shape.
Comput. Stat. Data Anal., 2019
2018
Flexible estimation of time-varying effects for frequently purchased retail goods: a modeling approach based on household panel data.
OR Spectr., 2018
Studying the occurrence and burnt area of wildfires using zero-one-inflated structured additive beta regression.
Environ. Model. Softw., 2018
2017
Comput. Math. Methods Medicine, 2017
2016
Simultaneous inference in structured additive conditional copula regression models: a unifying Bayesian approach.
Stat. Comput., 2016
2015
Variational approximations in geoadditive latent Gaussian regression: mean and quantile regression.
Stat. Comput., 2015
Fast smoothing parameter separation in multidimensional generalized P-splines: the SAP algorithm.
Stat. Comput., 2015
Comput. Stat., 2015
2014
2013
Comput. Stat., 2013
2012
2010
Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection.
Stat. Comput., 2010
2009
Comput. Stat. Data Anal., 2009
2008
2006
Mixed model-based inference in geoadditive hazard regression for interval-censored survival times.
Comput. Stat. Data Anal., 2006