Berthold Lausen

Berthold Lausen

University of Essex

H-index: 43

Europe-United Kingdom

About Berthold Lausen

Berthold Lausen, With an exceptional h-index of 43 and a recent h-index of 27 (since 2020), a distinguished researcher at University of Essex, specializes in the field of data science, explainable artificial intelligence (XAI), statistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Modelling customer churn for the retail industry in a deep learning based sequential framework

Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approaches

Classification and Data Science in the Digital Age

Sequence-aware item recommendations for multiply repeated user-item interactions

Optimal Random Projection Trees Ensemble for Class Membership Probability Estimation

Data Analysis and Rationality in a Complex World

Optimal trees selection for classification via out-of-bag assessment and sub-bagging

Exact change point detection with improved power in small‐sample binomial sequences

Berthold Lausen Information

University

Position

Professor of Data Science Department of Mathematical Sciences UK

Citations(all)

8112

Citations(since 2020)

2627

Cited By

6462

hIndex(all)

43

hIndex(since 2020)

27

i10Index(all)

74

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Berthold Lausen Skills & Research Interests

data science

explainable artificial intelligence (XAI)

statistics

Top articles of Berthold Lausen

Title

Journal

Author(s)

Publication Date

Modelling customer churn for the retail industry in a deep learning based sequential framework

Juan Pablo Equihua

Maged Ali

Henrik Nordmark

Berthold Lausen

2023/4/3

Automatic Detection of Industry Sectors in Legal Articles Using Machine Learning Approaches

arXiv preprint arXiv:2303.05387

Hui Yang

Stella Hadjiantoni

Yunfei Long

Ruta Petraityte

Berthold Lausen

2023/3/8

Classification and Data Science in the Digital Age

Paula Brito

José G Dias

Berthold Lausen

Angela Montanari

Rebecca Nugent

2023

Sequence-aware item recommendations for multiply repeated user-item interactions

Juan Pablo Equihua

Maged Ali

Henrik Nordmark

Berthold Lausen

2023/4/3

Optimal Random Projection Trees Ensemble for Class Membership Probability Estimation

Statistical Computing 2022

Nosheen Faiz

Adi Lausen

Metodi Metodiev

Zardad Khan

Berthold Lausen

2022/7

Data Analysis and Rationality in a Complex World

Theodore Chadjipadelis

Berthold Lausen

Angelos Markos

Tae Rim Lee

Angela Montanari

...

2021/2/15

Optimal trees selection for classification via out-of-bag assessment and sub-bagging

IEEE Access

Zardad Khan

Naz Gul

Nosheen Faiz

Asma Gul

Werner Adler

...

2021/2/1

Exact change point detection with improved power in small‐sample binomial sequences

Biometrical Journal

David Ellenberger

Berthold Lausen

Tim Friede

2021/3

Special Issue with Selected Methodological Papers Presented During the Sixth European Conference on Data Analysis (ECDA2019) in Bayreuth

Archives of Data Science Series A

Daniel Baier

Andreas Geyer-Schulz

Berthold Lausen

Angela Montanari

2020

Special issue on “Learning in data science: theory, methods and applications”—preface by the guest editors

Daniel Baier

Berthold Lausen

Angela Montanari

Ute Schmid

2020

Optimal survival trees ensemble

arXiv preprint arXiv:2005.09043

Naz Gul

Nosheen Faiz

Dan Brawn

Rafal Kulakowski

Zardad Khan

...

2020/5/18

Classification Methods for 16S rRNA Based Functional Annotation

Archives of Data Science, Series A

Rafal Kulakowski

Adi Lausen

Etienne Low-Decarie

Berthold Lausen

2020/5/13

Ensemble of optimal trees, random forest and random projection ensemble classification

Advances in Data Analysis and Classification

Zardad Khan

Asma Gul

Aris Perperoglou

Miftahuddin Miftahuddin

Osama Mahmoud

...

2020/3

See List of Professors in Berthold Lausen University(University of Essex)

Co-Authors

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