Andreas Groll - RankMe

15 papers Journal 15

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
2025	J	`jnl`	A Newton-based variant of Exclusive Lasso for improved sparse solutions. Comput. Stat. Dayasri Ravi, Andreas Groll
2025	J	`jnl`	Beschleunigung umweltpolitischer Entscheidungen durch verlässliche Daten und effiziente statistische Methoden. AStA Wirtschafts und Sozialstatistisches Arch. Katja Ickstadt, Susanne Breitner-Busch, André Conrad, Andreas Diekmann, Christina Elmer, Simon Felgendreher, Roland Fried, Sarah Friedrich, Kateryna Fuks, Andreas Groll, Andreas N. Hense, Claudia Hornberg, Helmut Küchenhoff, Heinz Leitgöb, Friederike Paetz, Walter J. Radermacher, Simon Schürz, Kathrin Wolf
2024	J	`jnl`	A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts. CoRR Andreas Groll, Akshat Khanna, Leonid Zeldin
2024	J	`jnl`	Modeling and Prediction of the UEFA EURO 2024 via Combined Statistical Learning Approaches. CoRR Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Jonas Sternemann, Gunther Schauberger, Achim Zeileis
2023	J	`jnl`	Tree-based ensembles for multi-output regression: Comparing multivariate approaches with separate univariate ones. Comput. Stat. Data Anal. Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly
2022	J	`jnl`	Churn modeling of life insurance policies via statistical and machine learning methods - Analysis of important features. CoRR Andreas Groll, Carsten Wasserfuhr, Leonid Zeldin
2022	J	`jnl`	Machine Learning for Multi-Output Regression: When should a holistic multivariate approach be preferred over separate univariate ones? CoRR Lena Schmid, Alexander Gerharz, Andreas Groll, Markus Pauly
2021	J	`jnl`	Hybrid Machine Learning Forecasts for the UEFA EURO 2020. CoRR Andreas Groll, Lars Magnus Hvattum, Christophe Ley, Franziska Popp, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis
2020	J	`jnl`	Deducing neighborhoods of classes from a fitted model. CoRR Alexander Gerharz, Andreas Groll, Gunther Schauberger
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`	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
2019	J	`jnl`	Hybrid Machine Learning Forecasts for the FIFA Women's World Cup 2019. CoRR Andreas Groll, Christophe Ley, Gunther Schauberger, Hans Van Eetvelde, Achim Zeileis
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
2014	J	`jnl`	Variable selection for generalized linear mixed models by L 1-penalized estimation. Stat. Comput. Andreas Groll, Gerhard Tutz