Detlef Nauck

Rudolf Kruse, Detlef Nauck, D. Nauck, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

Fuzzy Neuro Systems: An Overview

Detlef Nauck, D. Nauck, 1994 .

Smart Data Analysis Services

Detlef Nauck, Martin Spott, Henry Abraham, 2007 .

Intelligent Systems and Soft Computing: Prospects, Tools and Applications

Detlef Nauck, Nader Azarmi, Behnam Azvine, 2000 .

A Tool forIntelligent CustomerAnalytics

Detlef Nauck, Martin Spott, Dymitr Ruta, 2006 .

NEFCLASS for Java-new learning algorithms

Rudolf Kruse, Detlef Nauck, U. Nauck, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

From Change Mining to Relevance Feedback: A Unified View on Assessing Rule Interestingness

Rudolf Kruse, Detlef Nauck, Georg Ruß, 2009 .

Neuro-fuzzy models for control

Rudolf Kruse, Detlef Nauck, 1998 .

Neuro-fuzzy Systems: A Short Historical Review

Detlef Nauck, Andreas Nürnberger, D. Nauck, 2013 .

Neuro-Fuzzy Methods in Fuzzy Rule Generation

Rudolf Kruse, Detlef Nauck, D. Nauck, 1999 .

New Learning Strategies for NEFCLASS

Rudolf Kruse, Detlef Nauck, 1997 .

Soft Computing in Intelligent Data Analysis

Detlef Nauck, Martin Spott, Ben Azvine, 2006 .

NEFCON-I: an X-Window based simulator for neural fuzzy controllers

Rudolf Kruse, Detlef Nauck, R. Kruse, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Being proactive — analytics for predicting customer actions

Detlef Nauck, Martin Spott, Ben Azvine, 2006 .

A Fuzzy Perceptron as a Generic Model for Neuro-Fuzzy Approaches

Detlef Nauck, D. Nauck, 1994 .

Information Fusion in Neuro-Fuzzy Systems

Rudolf Kruse, Detlef Nauck, 2001, Data Fusion and Perception.

Erlernen von Fuzzy-Regeln : Anwendungen von Fuzzy-Logik und neuronalen Netzen

Detlef Nauck, Frank Klawonn, Rudolf Kruse, 1997 .

Predictive analytics and proactive service

Detlef Nauck, 2013 .

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Trevor P Martin, Detlef Nauck, Bogdan Gabrys, 2014 .

Classification Algorithms Framework (CAF) to Enable Intelligent Systems Using JetBrains MPS Domain-Specific Languages Environment

Detlef Nauck, Sofia Meacham, Vaclav Pech, 2020, IEEE Access.

Estimating Travel Times of Field Engineers

Detlef Nauck, Martin Spott, S. Kay, 2003 .

BARD: A Novel Application of Bayesian Reasoning for Proactive Network Management

Sally McClean, Bryan Scotney, Detlef Nauck, 2009 .

Predictive Process Monitoring using a Markov Model Technique

Detlef Nauck, Paul Taylor, Aftab Ali, 2019, 2019 International Conference on Computing, Electronics & Communications Engineering (iCCECE).

Data stream mining of event and complex event streams: a survey of existing and future technologies and applications in big data

Detlef Nauck, Giuseppe Di Fatta, Frederic Stahl, 2016 .

Neuro-fuzzy systems for explaining data sets

Detlef Nauck, 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

Fuzzy data analysis with NEFCLASS

Detlef Nauck, D. Nauck, 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

Building Neural Fuzzy Controllers with NEFCON-I

Detlef Nauck, D. Nauck, 1994 .

Some Approaches to Improve the Interpretability of Neuro-Fuzzy Classifiers

Detlef Nauck, Andreas Nürnberger, Aljoscha Klose, 1998 .

Fuzzy-Evolutionary Systems

Detlef Nauck, Hugues Bersini, Piero Bonissone, 1998 .

Choosing Appropriate Neuro-Fuzzy Models

Rudolf Kruse, Detlef Nauck, D. Nauck, 1994 .

A neural network topology with logical features

Rudolf Kruse, Detlef Nauck, 1998 .

Training fuzzy sets with neural network methods

Rudolf Kruse, Detlef Nauck, 1998 .

Data Mining mit Neuro-Fuzzy-Systemen

Christian Borgelt, Rudolf Kruse, Detlef Nauck, 2000 .

A Rule Induction Approach to Forecasting Critical Alarms in a Telecommunication Network

Detlef Nauck, Giuseppe Di Fatta, Chris Wrench, 2019, 2019 International Conference on Data Mining Workshops (ICDMW).

Fuzzy-Systeme und Neuro-Fuzzy-Systeme

Detlef Nauck, Rudolf Kruse, R. Kruse, 1998 .

A framework for discovering interesting business changes from data

Christian Borgelt, Rudolf Kruse, Detlef Nauck, 2006 .

SPIDA — A Novel Data Analysis Tool

Detlef Nauck, Martin Spott, Ben Azvine, 2003 .

Neuro-fuzzy models for classification

Rudolf Kruse, Detlef Nauck, 1998 .

Using symbolic data in neuro-fuzzy classification

Detlef Nauck, 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).

AutomatingDataAnalysis Processes: Configuring, Monitoring andReplacing

Detlef Nauck, 2006 .

Neuro-Fuzzy Control Based on the NEFCON-Model Under MATLAB/SIMULINK

Detlef Nauck, Andreas Nürnberger, Rudolf Kruse, 1998 .

Data mining with neuro-fuzzy models

Rudolf Kruse, Detlef Nauck, Andreas Nürnberger, 2001 .

Neuronale Netze und Fuzzy-Systeme

Rudolf Kruse, Detlef Nauck, Frank Klawonn, 1994 .

A neural fuzzy controller learning by fuzzy error propagation

Rudolf Kruse, Detlef Nauck, D. Nauck, 1992 .

Neuro-Fuzzy Systems

Rudolf Kruse, Detlef Nauck, D. Nauck, 1998 .

Learning in neuro-fuzzy systems with symbolic attributes and missing values

Rudolf Kruse, Detlef Nauck, 1999, ICONIP'99. ANZIIS'99 & ANNES'99 & ACNN'99. 6th International Conference on Neural Information Processing. Proceedings (Cat. No.99EX378).

Fuzzification of neural networks

Rudolf Kruse, Detlef Nauck, 1998 .

DESIGNING NEURO-FUZZY SYSTEMS THROUGH BACKPROPAGATION

Rudolf Kruse, Detlef Nauck, D. Nauck, 1996 .

Framework for Personalised Online Education based on Learning Analytics through the use of Domain-Specific Modelling and Data Analytics

Detlef Nauck, Sofia Meacham, Han Zhao, 2019, 2019 Conference on Next Generation Computing Applications (NextComp).

Towards Explainable AI: Design and Development for Explanation of Machine Learning Predictions for a Patient Readmittance Medical Application

Detlef Nauck, Sofia Meacham, Botond Virginas, 2019 .

AdaptiveVLE: An Integrated Framework for Personalized Online Education Using MPS JetBrains Domain-Specific Modeling Environment

Detlef Nauck, Sofia Meacham, Vaclav Pech, 2020, IEEE Access.

A neuro-fuzzy approach to obtain interpretable fuzzy systems for function approximation

Rudolf Kruse, Detlef Nauck, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation

Rudolf Kruse, Detlef Nauck, D. Nauck, 1993, IEEE International Conference on Neural Networks.

AdaptiveSystems: An Integrated Framework for Adaptive Systems Design and Development Using MPS JetBrains Domain-Specific Modeling Environment

Detlef Nauck, Sofia Meacham, Vaclav Pech, 2021, IEEE Access.

What Are Neuro{fuzzy Classiiers?

Rudolf Kruse, Detlef Nauck, 1997 .

Predictive Customer Analytics and Real-Time Business Intelligence

Detlef Nauck, Martin Spott, Dymitr Ruta, 2008 .

Beyond Neuro{fuzzy: Perspectives and Directions

Detlef Nauck, 1995 .