Joachim Diederich

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Instruction and High-level Learning in Connectionist Networks

Joachim Diederich, J. Diederich, 1989 .

Joachim Diederich, 1986 .

Clinical applications of artificial neural networks: A review of techniques for extracting rules from trained artificial neural networks

Alan Tickle, Joachim Diederich, Robert Andrews, 2001 .

MyNewsWave: User-centered Web search and news delivery

Joachim Diederich, Clint Heyer, Jamie Madden, 2002, ADCS.

Computers That Learn Vs. Users That Learn: Experiments With Adaptive E-Mail Agents.

Joachim Diederich, Elizabeth M. Gurrie, Markus Wasserschaff, 1995 .

KRITON: Wissensakquisition für Expertensysteme

Ingo Ruhmann, Joachim Diederich, Mark May, 1987, Expertensysteme.

Calculation of Target Locations for Web Resources

Jiajie Xu, Xiaofang Zhou, Joachim Diederich, 2006, WISE.

Ex-ray: Data mining and mental health

Joachim Diederich, Aqeel Al-Ajmi, Peter Yellowlees, 2007, Appl. Soft Comput..

Artificial neural networks: concept learning

Joachim Diederich, 1990 .

Artificial neural networks: concept learning. An introduction

Joachim Diederich, 1990 .

Artificial intelligence meets artificial insemination: an application of rule extraction from neural networks

Joachim Diederich, Ross Hayward, Emanoil Pop, 1995, IEA/AIE '95.

The Convergence of Intelligences

Joachim Diederich, 2000 .

Estimating blue-green algae counts with neurocomputing techniques

Joachim Diederich, Gerhard Paass, Don Simonetta, 1995, IEA/AIE '95.

Rule Extraction from Support Vector Machines: An Introduction

Joachim Diederich, J. Diederich, 2008, Rule Extraction from Support Vector Machines.

Encoding of Spatial Relations Semantics through Selective Attention

James M. Hogan, Joachim Diederich, 2001 .

Intention Extraction from Text Messages

Insu Song, Joachim Diederich, J. Diederich, 2010, ICONIP.

Rule Extraction from Support Vector Machines

Joachim Diederich, J. Diederich, 2008, Studies in Computational Intelligence.

Prediction of First-Day Returns of Initial Public Offering in the US Stock Market Using Rule Extraction from Support Vector Machines

Joachim Diederich, Rolf Mitsdorffer, J. Diederich, 2008, Rule Extraction from Support Vector Machines.

Recurrent Neural Networks for Sequence Production

Joachim Diederich, Markus Wasserschaff, 1993, IJCAI.

Quo Vadis? Reliable and Practical Rule Extraction from Neural Networks

Shlomo Geva, Joachim Diederich, Alan B. Tickle, 2010, Advances in Machine Learning I.

The truth is in there: current issues in extracting rules from trained feedforward artificial neural networks

Ross F. Hayward, Joachim Diederich, Alan Tickle, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

A role for neural networks in the search for extra-terrestrial intelligence

Joachim Diederich, Michael Towsey, Gerard D. Finn, 1999 .

A Neural Network Model for Assisting Project SERENDIP

Joachim Diederich, Michael Towsey, Douglas Taylor, 1998 .

Computational methods for the detection of facial palsy

Joachim Diederich, Tamer Shanableh, Noura Afifi, 2006 .

Computational methods todetect p agiarism in assessment

Joachim Diederich, 2006 .

KARDS: hybrid knowledge acquisition for a security risk model

Joachim Diederich, Alison Anderson, Alan B. Tickle, 1995, IEA/AIE '95.

Automatic synthesis of reactive agents

Guido Governatori, Insu Song, Joachim Diederich, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Recurrent Neural Networks for Narrowband Signal Detection in the Time-Frequency Domain

Joachim Diederich, Douglas Taylor, David Brodrick, 2004 .

Extracting rules for grammar recognition from Cascade-2 networks

Joachim Diederich, Ross Hayward, Alan B. Tickle, 1995, Learning for Natural Language Processing.

Connectionist Modeling and Parallel Architectures

Ah Chung Tsoi, Joachim Diederich, 1993, NIPS.

Explanation and Artificial Neural Networks

Joachim Diederich, 1992, Int. J. Man Mach. Stud..

Recurrent and Feedforward Networks for Human-Computer Interaction

Joachim Diederich, Andreas Thümmel, E. Bartels, 1992, ECAI.

Some Remarks on Emotion, Cognition, and Connectionist Systems

Joachim Diederich, W. M. Rayburn, J. Diederich, 1990, ÖGAI.

Computational methods to determine plagiarism in assessment

Joachim Diederich, 2004 .

Ex-ray: Machine learning for the assessment of mental health

Joachim Diederich, Peter Mackinlay Yellowlees, 2003 .

Neural Networks and Machine Learning for Natural Language Processing - Introduction

Joachim Diederich, Michael W. Towsey, Claudia Brugman, 2003, Appl. Intell..

Recruitment Learning Of Boolean Functions In Sparse Random Networks

James M. Hogan, Joachim Diederich, 2001, Int. J. Neural Syst..

Selective Attention and the Acquisition of Spatial Semantics

James M. Hogan, Joachim Diederich, Gerard D. Finn, 1998, CoNLL.

Recruitment vs. Backpropagation Learning: An Empirical Study on Re-Learning in Connectionist Networks

Joachim Diederich, 1990, ÖGAI.

Support Vector Machine Classification of Facial Expressions

Joachim Diederich, J. M. Hogan, Y. Hitchcock, 2002 .

Natural Language Learning by Recurrent Neural Networks: A Comparison wRh probabilistic approaches

Stephan K. Chalup, Joachim Diederich, Michael W. Towsey, 1998, CoNLL.

Wissenserwerbsmethoden und Wissensrepräsentation in KRITON

Joachim Diederich, 1986, Wissensarten und ihre Darstellung.

Recruitment Learning

Cengiz Günay, James M. Hogan, Joachim Diederich, 2011, Studies in Computational Intelligence.

KRITON: A Knowledge-Acquisition Tool for Expert Systems

Ingo Ruhmann, Joachim Diederich, Mark May, 1987, Int. J. Man Mach. Stud..

Extracting the Knowledge Embedded within Trained Artificial Neural Networks: Defining the Agenda

Guido Bologna, Frédéric Maire, Joachim Diederich, 1999, IIA/SOCO.

Neue Trends im Konnektionismus

Joachim Diederich, 1991, Künstliche Intell..

Tibianna: A Learning-Based Search Engine with Query Refinement

Joachim Diederich, Clint Heyer, 2002, ADCS.

The "Sloppy" Modelling Of An Information Security Risk Model

Joachim Diederich, Alison Anderson, Elizabeth Gurrie, 1997, PACIS.

Knowledge Extraction and Recurrent Neural Networks: An Analysis of an Elman Network trained on a Natural Language Learning Task

Joachim Diederich, Michael W. Towsey, Ingo Schellhammer, 1998, CoNLL.

Searching the World Wide Web for Local Services and Facilities: A Review on the Patterns of Location-Based Queries

Xiaofang Zhou, Joachim Diederich, Saeid Asadi, 2005, WAIM.

Techniken des Wissenserwerbs

Joachim Diederich, Joachim Diederich, 1987, KIFS.

The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networks

Joachim Diederich, Robert Andrews, Mostefa Golea, 1998, IEEE Trans. Neural Networks.

Artificial Neural Networks

Joachim Diederich, 1990 .

Learning-Based Rule-Extraction From Support Vector Machines: Performance On Benchmark Data Sets

Joachim Diederich, Nahla Barakat, 2004 .

Parallel processing in computational linguistics

Akinori Yonezawa, Garrison W. Cottrell, Lokendra Shastri, 1988, COLING.

Knowledge Initialisation for Support Vector Machines

Joachim Diederich, Nahla Barakat, 2004 .

Generating explanations from support vector machines for psychological classifications

Insu Song, Joachim Diederich, 2014 .

Hybrid Knowledge Acquisition

Ingo Ruhmann, Joachim Diederich, Mark May, 1986, GWAI.

Accent in Speech Samples: Support Vector Machines for Classification and Rule Extraction

Joachim Diederich, Carol Pedersen, 2008, Rule Extraction from Support Vector Machines.

Trends im Konnektionismus

Joachim Diederich, Joachim Diederich, 1988, Künstliche Intell..

Accent Classification Using Support Vector Machines

Joachim Diederich, Carol Pedersen, J. Diederich, 2007, 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007).

Connectionist Recruitment Learning

Joachim Diederich, J. Diederich, 1988, ECAI.

Web mining and mental health

Joachim Diederich, M. Abusaa, A. Al Ajmi, 2004 .

Parallelverarbeitung in Netzwerk-basierten Systemen

Joachim Diederich, 1985, GWAI.

Limiting human perception for image sequences

Anthony J. Maeder, Ernst Niebur, Joachim Diederich, 1996, Electronic Imaging.

Modified cut off values for diagnosis of impaired glucose telerance (IGT) : A data mining approach

Joachim Diederich, M. Nabil Barakat, Nashwa Barakat, 2005 .

Eclectic Rule-Extraction from Support Vector Machines

Joachim Diederich, Nahla H. Barakat, Nahla Barakat, 2005 .

Rule Extraction from Neural Networks on a Medical Task

Joachim Diederich, Michael Towsey, 1998 .

Towards Melodic Extension Using Genetic Algorithms

Susan Wright, Joachim Diederich, Michael W. Towsey, 2001, J. Educ. Technol. Soc..

An Explanation Component for a Connectionist Inference System

Joachim Diederich, 1990, ECAI.

Explanation and Connectionism

Joachim Diederich, J. Diederich, 1989, GWAI.

Layered argumentation for Fuzzy automation controllers

Guido Governatori, Insu Song, Joachim Diederich, 2010, 2010 IEEE Conference on Cybernetics and Intelligent Systems.

Profiling bell's palsy based on House-Brackmann score

Insu Song, Joachim Diederich, Peter Yellowlees, 2013, 2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE).

Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks

Guido Bologna, Frédéric Maire, Joachim Diederich, 1998, Hybrid Neural Systems.

A Classification System for Rule-Extraction from Support Vector Machines

Joachim Diederich, 2006 .

Knowledge-based Knowledge Elicitation

Joachim Diederich, 1987, IJCAI.

Survey and critique of techniques for extracting rules from trained artificial neural networks

Joachim Diederich, Robert Andrews, Alan B. Tickle, 1995, Knowl. Based Syst..

"Learning by Instruction" in connectionist Systems

Joachim Diederich, 1989, ML.

Sparsely-connected recurrent neural networks for natural language learning

Joachim Diederich, Michael Towsey, Claire D’Este, 1999 .

The Psychology of Artificial Superintelligence

Joachim Diederich, 2021, Cognitive Systems Monographs.

Safety and Military Artificial Intelligence

Joachim Diederich, 2021 .

Predicting first-day returns of cross-industry initial public offerings in the US stock market

Joachim Diederich, R. Mitsdorffer, C. Tan, 2001 .

Diagnosis of Diabetes Mellitus: A data mining approach

Joachim Diederich, Nahla Barakat, M. N. Barakat, 2005 .

Ex-ray:Text classification and the assessment of mental health

Joachim Diederich, Peter Mackinlay Yellowlees, A. Al-Ajmi, 2003 .

Simulation schizophrener Sprache

Joachim Diederich, 1988 .

Using Diagnostic Information to Develop a Machine Learning Application for the Effective Screening of Autism Spectrum Disorders

Insu Song, Joachim Diederich, Tze Jui Goh, 2014 .

Mental Health Informatics

Insu Song, Joachim Diederich, Margaret Lech, 2013 .

Mental Health Informatics: Current Approaches

Insu Song, Joachim Diederich, 2014 .

Connectionist Knowledge Representation By Generic Rules Extraction from Trained Feedforward Neural Networks

Richi Nayak, Joachim Diederich, Ross Hayward, 1997 .

Automated Method for Diagnosing Speech and Language Dysfunction in Schizophrenia

Insu Song, Joachim Diederich, Ai Ni Teoh, 2014 .

Inductive knowledge acquisition usingfeedforward neural networks with rule-extractionRichi

Joachim Diederich, Nayak, Frederic MaireMachine, 1998 .