Joachim Diederich - researchr alias

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Viewing Publication 1 - 55 from 55

2021

The Psychology of Artificial SuperintelligenceJoachim Diederich. Volume 42 of Cognitive Systems Monographs, Springer, 2021. [doi]

2013

Profiling bell's palsy based on House-Brackmann scoreInsu Song, Yok-Yen Nguwi, J. Vong, Joachim Diederich, Peter Yellowlees. cicare 2013: 1-6 [doi]

Profiling Bell's Palsy based on House-Brackmann ScoreInsu Song, John Vong, Nguwi Yok Yen, Joachim Diederich, Peter Yellowlees. jaiscr, 3(1):41, 2013. [doi]

2011

Recruitment LearningJoachim Diederich, Cengiz Günay, James M. Hogan. Volume 303 of Studies in Computational Intelligence, Springer, 2011. [doi]

2010

Quo Vadis? Reliable and Practical Rule Extraction from Neural NetworksJoachim Diederich, Alan B. Tickle, Shlomo Geva. In Jacek Koronacki, Zbigniew W. Ras, Slawomir T. Wierzchon, Janusz Kacprzyk, editors, Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski. Volume 262 of Studies in Computational Intelligence, pages 479-490, Springer, 2010. [doi]

Intention Extraction from Text MessagesInsu Song, Joachim Diederich. iconip 2010: 330-337 [doi]

Automatic synthesis of reactive agentsInsu Song, Guido Governatori, Joachim Diederich. icarcv 2010: 970-975 [doi]

2008

Rule Extraction from Support Vector Machines: An IntroductionJoachim Diederich. In Joachim Diederich, editor, Rule Extraction from Support Vector Machines. Volume 80 of Studies in Computational Intelligence, pages 3-31, Springer, 2008. [doi]

Prediction of First-Day Returns of Initial Public Offering in the US Stock Market Using Rule Extraction from Support Vector MachinesRolf Mitsdorffer, Joachim Diederich. In Joachim Diederich, editor, Rule Extraction from Support Vector Machines. Volume 80 of Studies in Computational Intelligence, pages 185-203, Springer, 2008. [doi]

Accent in Speech Samples: Support Vector Machines for Classification and Rule ExtractionCarol Pedersen, Joachim Diederich. In Joachim Diederich, editor, Rule Extraction from Support Vector Machines. Volume 80 of Studies in Computational Intelligence, pages 205-226, Springer, 2008. [doi]

2007

E::x::-ray: Data mining and mental healthJoachim Diederich, Aqeel Al-Ajmi, Peter Yellowlees. asc, 7(3):923-928, 2007. [doi]

Accent Classification Using Support Vector MachinesCarol Pedersen, Joachim Diederich. ACISicis 2007: 444-449 [doi]

2006

Calculation of Target Locations for Web ResourcesSaeid Asadi, Jiajie Xu, Yuan Shi, Joachim Diederich, Xiaofang Zhou. wise 2006: 277-288 [doi]

2005

Searching the World Wide Web for Local Services and Facilities: A Review on the Patterns of Location-Based QueriesSaeid Asadi, Chung-Yi Chang, Xiaofang Zhou, Joachim Diederich. waim 2005: 91-101 [doi]

2003

Authorship Attribution with Support Vector MachinesJoachim Diederich, Jörg Kindermann, Edda Leopold, Gerhard Paass. apin, 19(1-2):109-123, 2003.

Neural Networks and Machine Learning for Natural Language Processing - IntroductionJoachim Diederich, Claudia Brugman, Michael Towsey. apin, 19(1-2):7, 2003.

2002

MyNewsWave: User-centered Web search and news deliveryClint Heyer, Jamie Madden, Kelly Hollingsworth, Peter Heydon, Keiran Bartlett, Joachim Diederich. adcs 2002: [doi]

Tibianna: A Learning-Based Search Engine with Query RefinementClint Heyer, Joachim Diederich. adcs 2002: [doi]

2001

Recruitment Learning Of Boolean Functions In Sparse Random NetworksJames M. Hogan, Joachim Diederich. IJNS, 11(6):537-559, 2001. [doi]

Towards Melodic Extension Using Genetic AlgorithmsMichael Towsey, Andrew Brown, Susan Wright, Joachim Diederich. ETS, 4(2), 2001. [doi]

1999

Extracting the Knowledge Embedded within Trained Artificial Neural Networks: Defining the AgendaAlan B. Tickle, Frédéric Maire, Guido Bologna, Joachim Diederich. icscCd 1999:

1998

Selective Attention and the Acquisition of Spatial SemanticsJames M. Hogan, Joachim Diederich, Gerard D. Finn. conll 1998: 235-244 [doi]

Knowledge Extraction and Recurrent Neural Networks: An Analysis of an Elman Network trained on a Natural Language Learning TaskIngo Schellhammer, Joachim Diederich, Michael Towsey, Claudia Brugman. conll 1998: 73-78 [doi]

The truth will come to light: directions and challenges in extracting the knowledge embedded within trained artificial neural networksAlan B. Tickle, Robert Andrews, Mostefa Golea, Joachim Diederich. tnn, 9(6):1057-1068, 1998. [doi]

Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural NetworksAlan B. Tickle, Frédéric Maire, Guido Bologna, Robert Andrews, Joachim Diederich. hybrid 2000: 226-239

Natural Language Learning by Recurrent Neural Networks: A Comparison with probabilistic approachesMichael Towsey, Joachim Diederich, Ingo Schellhammer, Stephan K. Chalup, Claudia Brugman. conll 1998: 3-10 [doi]

1997

The "Sloppy" Modelling Of An Information Security Risk ModelElizabeth Gurrie, Alison Anderson, Joachim Diederich. pacis 1997: 83 [doi]

The truth is in there: current issues in extracting rules from trained feedforward artificial neural networksAlan B. Tickle, Mostefa Golea, Ross Hayward, Joachim Diederich. icnn 1997: 2530-2534 [doi]

1996

Limiting human perception for image sequencesAnthony J. Maeder, Joachim Diederich, Ernst Niebur. hvei 1996: 330-337 [doi]

1995

1993

Connectionist Modeling and Parallel ArchitecturesJoachim Diederich, Ah Chung Tsoi. nips 1994: 1178-1179 [doi]

Recurrent Neural Networks for Sequence ProductionJoachim Diederich, Markus Wasserschaff. IJCAI 1993: 1114-1119

1992

Recurrent and Feedforward Networks for Human-Computer InteractionJoachim Diederich, Andreas Thümmel, E. Bartels. ecai 1992: 206-207

Explanation and Artificial Neural NetworksJoachim Diederich. ijmms, 37(3):335-355, 1992.

1991

Neue Trends im KonnektionismusJoachim Diederich. ki, 5(2):6-11, 1991.

1990

Recruitment vs. Backpropagation Learning: An Empirical Study on Re-Learning in Connectionist NetworksJoachim Diederich. ogai 1990: 186-190

An Explanation Component for a Connectionist Inference SystemJoachim Diederich. ecai 1990: 222-227

Some Remarks on Emotion, Cognition, and Connectionist SystemsW. M. Rayburn, Joachim Diederich. ogai 1990: 191-195

1989

Learning by Instruction in connectionist SystemsJoachim Diederich. icml 1989: 66-68

Explanation and ConnectionismJoachim Diederich. ki 1989: 118-127

1988

Parallel processing in computational linguisticsGarrison W. Cottrell, Pradip Dey, Joachim Diederich, Peter A. Reich, Lokendra Shastri, Akinori Yonezawa. COLING 1988: 595-598

Trends im KonnektionismusJoachim Diederich. ki, 2(1):28-32, 1988.

Connectionist Recruitment LearningJoachim Diederich. ecai 1988: 351-356

1987

KRITON: A Knowledge-Acquisition Tool for Expert SystemsJoachim Diederich, Ingo Ruhmann, Mark May. ijmms, 26(1):29-40, 1987.

KRITON: Wissensakquisition für ExpertensystemeJoachim Diederich, Mark May, Ingo Ruhmann. xps 1987: 216-221

Knowledge-based Knowledge ElicitationJoachim Diederich. IJCAI 1987: 201-204

Techniken des WissenserwerbsJoachim Diederich. ki 1989: 295-335

1986

Hybrid Knowledge AcquisitionJoachim Diederich, Mark May, Ingo Ruhmann. ki 1986: 343-348

Wissenserwerbsmethoden und Wissensrepräsentation in KRITONJoachim Diederich. wi 1988: 219-226

Kognitive ParallelverarbeitungJoachim Diederich. PhD thesis, Bielefeld University, Germany, 1986. [doi]

1985

Parallelverarbeitung in Netzwerk-basierten SystemenJoachim Diederich. ki 1986: 26-34

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