Reasoning with Mass Distributions. - Rudolf Kruse; Detlef D. Nauck; Frank Klawonn (UAI, 1991)

Reasoning under Uncertainty with Temporal Aspects. - Detlef D. Nauck; Frank Klawonn; Rudolf Kruse; Uwe Lohs (IEA/AIE, 1992)

A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation. - Detlef D. Nauck; Rudolf Kruse (ICNN, 1993)

Combining Neural Networks and Fuzzy Controllers. - Detlef D. Nauck; Frank Klawonn; Rudolf Kruse (FLAI, 1993)

Neuronale Netze und Fuzzy-Systeme - Grundlagen des Konnektionismus, neuronaler Fuzzy-Systeme und der Kopplung mit wissensbasierten Methoden. - Detlef D. Nauck; Frank Klawonn; Rudolf Kruse (Vieweg, 1994)

Modellierung Neuronaler Fuzzy-Regler. - Detlef D. Nauck (1994)

NEFCLASSmdash;a neuro-fuzzy approach for the classification of data. - Detlef D. Nauck; Rudolf Kruse (SAC, 1995)

A neuro-fuzzy method to learn fuzzy classification rules from data. - Detlef D. Nauck; Rudolf Kruse (Fuzzy Sets Syst., 1997)

Erlerner von Fuzzy-Regeln. - Rudolf Kruse; Frank Klawonn; Detlef D. Nauck (Inform. Forsch. Entwickl., 1997)

Data Mining und Data Warehousing als Grundlage moderner entscheidungsunterstützender Systeme (Workshop-Bericht). - Detlef D. Nauck (Datenbank Rundbr., 1998)

Neuro-fuzzy control based on the NEFCON-model: recent developments. - Andreas Nürnberger; Detlef D. Nauck; Rudolf Kruse (Soft Comput., 1998)

Obtaining interpretable fuzzy classification rules from medical data. - Detlef D. Nauck; Rudolf Kruse (Artif. Intell. Medicine, 1999)

Neuro-fuzzy systems for function approximation. - Detlef D. Nauck; Rudolf Kruse (Fuzzy Sets Syst., 1999)

Soft Computing Techniques for an Intelligent use of Internet Resources. - Janusz Kacprzyk; Lotfi A. Zadeh; Ronald R. Yager; Donald H. Kraft; T. Whalen; Ernesto Damiani; T. Vila; Gabriella Pasi; Detlef D. Nauck (FUZZ-IEEE, 2000)

Knowledge discovery with NEFCLASS. - Detlef D. Nauck (KES, 2000)

Problems and Prospects in Fuzzy Data Analysis. - Rudolf Kruse; Christian Borgelt; Detlef D. Nauck (Intelligent Systems and Soft Computing, 2000)

NEFCLASS-J - A JAVA-Based Soft Computing Tool. - Detlef D. Nauck; Rudolf Kruse (Intelligent Systems and Soft Computing, 2000)

Adaptive Rule Weights in Neuro-Fuzzy Systems. - Detlef D. Nauck (Neural Comput. Appl., 2000)

Information Fusion in Neuro-Fuzzy Systems. - Detlef D. Nauck; Rudolf Kruse (Data Fusion and Perception, 2001)

9th International Conference on Fuzzy Systems (FUZZ-IEEE 2000). - Detlef D. Nauck (Künstliche Intell., 2001)

Neuro-Fuzzy-Systeme - Christian Borgelt; Frank Klawonn; Rudolf Kruse; Detlef D. Nauck (Neuro-Fuzzy-Systeme, 2003)

Measuring interpretability in rule-based classification systems. - Detlef D. Nauck (FUZZ-IEEE, 2003)

Fuzzy data analysis with NEFCLASS. - Detlef D. Nauck (Int. J. Approx. Reason., 2003)

Fuzzy methods for automated intelligent data analysis. - Detlef D. Nauck; Martin Spott; Ben Azvine (FUZZ-IEEE, 2004)

Dynamic Daily-Living Patterns and Association Analyses in Tele-Care Systems. - Beng-Seuk Lee; Trevor P. Martin; Nick P. Clarke; Basim A. Majeed; Detlef D. Nauck (ICDM, 2004)

Special issue on hybrid methods for adaptive systems. - Detlef D. Nauck (Fuzzy Sets Syst., 2004)

Neuro-fuzzy learning with symbolic and numeric data. - Detlef D. Nauck (Soft Comput., 2004)

Automatic Selection of Data Analysis Methods. - Detlef D. Nauck; Martin Spott; Behnam Azvine (ECSQARU, 2005)

On Choosing an Appropriate Data Analysis Algorithm. - Martin Spott; Detlef D. Nauck (FUZZ-IEEE, 2005)

Detecting temporally redundant association rules. - Mirko Böttcher; Martin Spott; Detlef D. Nauck (ICMLA, 2005)

Automatically Determine Initial Fuzzy Partitions for Neuro-Fuzzy Classifiers. - Frank Klawonn; Detlef D. Nauck (FUZZ-IEEE, 2006)

K Nearest Sequence Method and Its Application to Churn Prediction. - Dymitr Ruta; Detlef D. Nauck; Ben Azvine (IDEAL, 2006)

Towards a Framework for Change Detection in Data Sets. - Mirko Böttcher; Detlef D. Nauck; Dymitr Ruta; Martin Spott (SGAI Conf., 2006)

Real Time Business Intelligence for the Adaptive Enterprise. - Ben Azvine; Zhan Cui; Detlef D. Nauck; Basim A. Majeed (CEC/EEE, 2006)

Towards the automation of intelligent data analysis. - Martin Spott; Detlef D. Nauck (Appl. Soft Comput., 2006)

GNU Fuzzy. - Detlef D. Nauck (FUZZ-IEEE, 2007)

A Framework for Discovering and Analyzing Changing Customer Segments. - Mirko Böttcher; Martin Spott; Detlef D. Nauck (ICDM, 2007)

Relevance Feedback for Association Rules by Leveraging Concepts from Information Retrieval. - Georg Ruß; Detlef D. Nauck; Mirko Böttcher; Rudolf Kruse (SGAI Conf., 2007)

Intelligent data analysis with fuzzy decision trees. - Xiaomeng Wang; Detlef D. Nauck; Martin Spott; Rudolf Kruse (Soft Comput., 2007)

Smart Data Analysis Services. - Martin Spott; Henry Abraham; Detlef D. Nauck (Intelligent Techniques and Tools for Novel System Architectures, 2008)

Measuring and Visualising Similarity of Customer Satisfaction Profiles for Different Customer Segments. - Frank Klawonn; Detlef D. Nauck; Katharina Tschumitschew (HAIS, 2009)

Mining changing customer segments in dynamic markets. - Mirko Böttcher; Martin Spott; Detlef D. Nauck; Rudolf Kruse (Expert Syst. Appl., 2009)

Machine learning based Call Admission Control approaches: A comparative study. - Abul Bashar; Gerard Parr; Sally I. McClean; Bryan W. Scotney; Detlef D. Nauck (CNSM, 2010)

A Classification Algorithm for Process Sequences Based on Markov Chains and Bayesian Networks. - Katharina Tschumitschew; Detlef D. Nauck; Frank Klawonn (KES (1), 2010)

Knowledge Discovery Using Bayesian Network Framework for Intelligent Telecommunication Network Management. - Abul Bashar; Gerard Parr; Sally I. McClean; Bryan W. Scotney; Detlef D. Nauck (KSEM, 2010)

Learning-Based Call Admission Control Framework for QoS Management in Heterogeneous Networks. - Abul Bashar; Gerard Parr; Sally I. McClean; Bryan W. Scotney; Detlef D. Nauck (NDT (2), 2010)

Novel distributed call admission control solution based on machine learning approach. - Abul Bashar; Gerard Parr; Sally I. McClean; Bryan W. Scotney; Detlef D. Nauck (Integrated Network Management, 2011)

Performance analysis of Bayesian Networks-based distributed Call Admission Control for NGN. - Abul Bashar; Gerard Parr; Sally I. McClean; Bryan W. Scotney; Detlef D. Nauck (NOMS, 2012)

A Hybrid Model for Business Process Event Prediction. - Mai Le; Bogdan Gabrys; Detlef D. Nauck (SGAI Conf., 2012)

Modern Analytics in Field and Service Operations. - Martin Spott; Detlef D. Nauck; Paul N. Taylor (Transforming Field and Service Operations, 2013)

KNNs and Sequence Alignment for Churn Prediction. - Mai Le; Detlef D. Nauck; Bogdan Gabrys; Trevor Martin (SGAI Conf., 2013)

Sequential Approaches for Predicting Business Process Outcome and Process Failure Warning. - Mai Le; Detlef D. Nauck; Bogdan Gabrys (SIMPDA, 2013)

Sequential Clustering for Event Sequences and Its Impact on Next Process Step Prediction. - Mai Le; Detlef D. Nauck; Bogdan Gabrys; Trevor Martin (IPMU (1), 2014)

Application of Bayesian Networks for Autonomic Network Management. - Abul Bashar; Gerard Parr; Sally I. McClean; Bryan W. Scotney; Detlef D. Nauck (J. Netw. Syst. Manag., 2014)

Towards Expressive Rule Induction on IP Network Event Streams. - Chris Wrench; Frederic T. Stahl; Giuseppe Di Fatta; Vidhyalakshmi Karthikeyan; Detlef D. Nauck (SGAI Conf., 2015)

A Method of Rule Induction for Predicting and Describing Future Alarms in a Telecommunication Network. - Chris Wrench; Frederic T. Stahl; Thien Le; Giuseppe Di Fatta; Vidhyalakshmi Karthikeyan; Detlef D. Nauck (SGAI Conf., 2016)

Towards Combining Attribute-based and Time Series-based Visual Querying. - David Sessler; Martin Spott; Detlef D. Nauck; William Harmer; Jörn Kohlhammer; Jürgen Bernard (EuroVis (Posters), 2016)

Using Machine Learning for Dynamic Multicast Capacity Planning. - Vidhyalakshmi Karthikeyan; Detlef D. Nauck; Miguel Rio (SGAI Conf., 2017)

A hybrid model for business process event and outcome prediction. - Mai Le; Bogdan Gabrys; Detlef D. Nauck (Expert Syst. J. Knowl. Eng., 2017)

A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network. - Chris Wrench; Frederic T. Stahl; Giuseppe Di Fatta; Vidhyalakshmi Karthikeyan; Detlef D. Nauck (ICDM Workshops, 2019)

Cuscus: An End User Programming Tool for Data Visualisation. - Mariana Marasoiu; Detlef D. Nauck; Alan F. Blackwell (IS-EUD, 2019)

Framework for Personalised Online Education based on Learning Analytics through the use of Domain-Specific Modelling and Data Analytics. - Sofia Meacham; Detlef D. Nauck; Han Zhao 004 (NextComp, 2019)

A Generic Model for End State Prediction of Business Processes Towards Target Compliance. - Naveed Khan; Zulfiqar Ali 001; Aftab Ali; Sally I. McClean; Darryl Charles; Paul N. Taylor; Detlef D. Nauck (SGAI Conf., 2019)

Classification Algorithms Framework (CAF) to Enable Intelligent Systems Using JetBrains MPS Domain-Specific Languages Environment. - Sofia Meacham; Václav Pech; Detlef D. Nauck (IEEE Access, 2020)

AdaptiveVLE: An Integrated Framework for Personalized Online Education Using MPS JetBrains Domain-Specific Modeling Environment. - Sofia Meacham; Václav Pech; Detlef D. Nauck (IEEE Access, 2020)

Benchmarking Video Service Quality: Quantifying the Viewer Impact of Loss-Related Impairments. - Vidhyalakshmi Karthikeyan; Brahim Allan; Detlef D. Nauck; Miguel Rio (IEEE Trans. Netw. Serv. Manag., 2020)

Early Prediction of Complex Business Processes Using Association Rule Based Mining. - Naveed Khan; Zeeshan Tariq; Aftab Ali; Sally I. McClean; Paul N. Taylor; Detlef D. Nauck (RTIP2R, 2021)

AdaptiveSystems: An Integrated Framework for Adaptive Systems Design and Development Using MPS JetBrains Domain-Specific Modeling Environment. - Sofia Meacham; Václav Pech; Detlef D. Nauck (IEEE Access, 2021)

LLMs Love Python: A Study of LLMs' Bias for Programming Languages and Libraries. - Lukas Twist; Jie M. Zhang; Mark Harman; Don Syme; Joost Noppen; Detlef D. Nauck (CoRR, 2025)