Joachim Diederich, Professor
PhD, University of Bielefeld, Germany, 1985
Habilitation, University of Hamburg, Germany, 1995

Address:
Department of Computer Science
College of Engineering
American University of Sharjah
P.O. Box 26666
Sharjah, United Arab Emirates

Room: L022–D
Office: + (971) 6 515 2559
Fax: + (971) 6 515 2979
E-mail: jdiederich@aus.edu

Research Interests

Machine learning and natural language processing, support vector machines, rule-extraction from support vector machines, online health

Biography

Joachim Diederich has been appointed as Professor and Department Head, Department of Computer Science, beginning September 1, 2005. He is also an honorary professor in the School of Information Technology and Electrical Engineering as well as the Centre for Online Health at the University of Queensland, Australia. Dr. Diederich's professional career includes four years as a team leader at the German National Research Center for Information Technology (GMD) and more than two years at the International Computer Science Institute (ICSI) in Berkeley, California. He has also been a full professor at Queensland University of Technology ( Australia) and Sohar University ( Oman; affiliated with the University of Queensland).

Dr. Diederich has published eight books (three as single author), 50 book chapters and journal articles, and more than 100 peer-reviewed conference papers. In addition, Dr. Diederich has a considerable history of success in securing research grants: two Australian Research Council (ARC) large grants as first chief investigator since 1996, two ARC Collaborative/SPIRT grants as first chief investigator, one ARC RIEF (Infrastructure) grant and one current ARC Discovery grant as second chief investigator. As a recognized innovator, Dr. Diederich was selected as winner of the E-Health category in the prestigious “Secrets of Australian IT Innovation Competition 2003.”

Dr. Diederich 's qualifications include a habilitation from the University of Hamburg ( Germany), a doctorate (summa cum laude) from the University of Bielefeld ( Germany), and a master’s degree from the University of Münster ( Germany).

Selected Publications

Books

1. Diederich, J., Konstruktives konnektionistisches Lernen (Constructive Connectionist Learning). Berlin, Germany: dissertationen.de Verlag (2000), ISBN 3-89825-102-0.
2. Diederich, J. (Ed.), Artificial Neural Networks: Concept Learning. Los Alamitos, USA: IEEE Computer Society Neural Network Technology Series (1990), ISBN 0-8186-2015-3, Library of Congress No. 89-81694.
3. Rome , E., Uthmann, T., Diederich, J., KI-Workstations (Artificial Intelligence Workstations). Überblick, Marktsituation, Entwicklungstrends. Bonn, Germany: Addison-Wesley Verlag (Deutschland) GmbH (1988), ISBN 3-925118-83-7.
4. Diederich, J., Simulation schizophrener Sprache (Modelling Schizophrenic Language). Opladen, Germany: Westdeutscher Verlag (1988), ISBN 3-531-11908-7.
5. Diederich, J., Kognitive Parallelverarbeitung (Parallel Processing in Cognitive Systems). Munich Vienna: GMD Bericht 159, Oldenbourg Verlag (1986), ISBN 3-486-20194-8.

Articles and Book Chapters

1. Barakat, N., Diederich, J., Eclectic Rule-Extraction from Support Vector Machines . International Journal of Computational Intelligence, Vol. 2, No. 1, 2005, 59-62.
2. Diederich, J., Kindermann, J., Leopold, E., Paass, G., Authorship Attribution with Support Vector Machines. Applied Intelligence, Vol. 19, No. 1 (July/Aug, 2003) 109–123.
3. Towsey, M., Brown, A., Wright, S., Diederich, J., Towards Melodic Extension Using Genetic Algorithms. Educational Technology and Society, Vol. 4 (2) (April 2001).
4. Hogan, J.M., Diederich, J., Recruitment Learning of Boolean Functions in Sparse Random Networks, de Carvalho, A., and Kremer, S. (Eds.). International Journal of Neural Systems, Special Issue on Non-Gradient Learning Methods (2001).
5. Diederich, J., Towsey, M., Brown, A., Wright, S., Genetic Algorithm as an Aid to Learning the Art of Melodic Composition (CD-ROM). Proceedings of the International Conference ISSEI 2000, Approaching a New Millennium: Lessons from the Past - Prospects for the Future (University of Bergen, Norway, 14–18 August 2000), the First International Workshop, Developing Creativity and Large Mental Outlook in the Computer Age.
6. Hogan, J.M., Norris, M., Diederich, J., Classification of Facial Expressions with Domain Gaussian RBF Networks, Howlett, R.J. and Jain, L.C. (Eds.). Radial Basis Function Theory and Applications, Vol. 2, Applications, Berlin: Physica Verlag (2000).
7. Tickle, A.B., Maire, F., Bologna, G., Andrews, R., Diederich, J., Lessons from Past, Current Issues and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks, Wermter, S., Sun, R. (Eds.). Hybrid Neural Systems. Berlin: Springer Verlag (2000), ISBN 3-540-67305-9.
8. Andrews, R., Tickle A.B., Diederich J., A Review of Techniques for Extracting Rules From Trained Artificial Neural Networks, in print, Dybowski, R. (Ed.). Clinical Applications of Artificial Neural Networks. Cambridge, UK: Cambridge University Press (1999).
9. Diederich, J., Connectionist Symbol Processing: Is there an Efficient Mapping of Feedforward Networks to a Set of Rules? Neural Computing Surveys (1998).
10. Tickle, A.B., Andrews, R., Golea, M., Diederich, J., The Truth Will Come to Light: Directions and Challenges in Extracting the Knowledge Embedded within Trained Artificial Neural Networks. IEEE Transaction on Neural Networks 9 (1998) 6, 1057–1068.
11. Hayward , R., Diederich, J., SHRUTI: A Model for Reflexive Reasoning. Ar tificial Intelligence and the Simulation of Behaviour, Quarterly Journal (1997).
12. Diederich, J., Hogan, J.M., Constructive Learning in Connectionist Semantic Networks, in Dorffner, G. (Ed.), Neural Networks and a New Artificial Intelligence. London, UK: International Thomson Computer Press (1997) 233–255, ISBN 1-85032-172-8.
13. Diederich, J., Regelextraktion aus Trainierten Neuronalen Netzen, (Rule Extraction from Trained Neural Networks), in Thielscher, M., Bornscheuer, S.E. (Eds.), Fortschritte der Künstlichen Intelligenz.Dresden, Germany: Dresden University Press (1996) 29, ISBN 3-931828-45-X
14. Tickle, A., Andrews, R., Golea, M., Diederich, J., Rule Extraction from Trained Artificial Neural Networks, in Browne, A. (Ed.), Current Perspectives in Neural Computing. Bristol, UK: Institute of Physics Publishing (1996).
15. Tickle, A., Hayward, R., Diederich, J., Recent Developments in Techniques for Extracting Rules from Trained Artificial Neural Networks, in Dorffner, G., Möller, K., Paass, G., Rojas, R., Vogel, S. (Eds.), Konnektionismus und Neuronale Netze. St Augustin: GMD - Forschungszentrum Informationstechnik GmbH, 231–247, ISBN 3-88457-300-4, ISSN 0170-8120.
16. Hayward, R., Tickle, A., Diederich, J., Extracting Rules for Grammar Recognition from Cascade-2 Networks, in Wermter, S., Riloff, A., Scheller, G. (Eds.), Symbolic, Connectionist and Statistical Ap­proaches to Learning for Natural Language Processing. Berlin, Germany: Springer Verlag (1996) 48–60.
17. Andrews , R., Diederich, J., Tickle, A.B., A Survey and Critique of Techniques for Extracting Rules from Trained Artificial Neural Networks. Knowledge-Based Systems 8 (1995) 373–389.
18. Diederich, J., Tickle, A.B., Explanation and Collective Computation. Complexity International 2 (1995).
19. Hogan, J.M., Diederich, J., Probabilistic Relations in Randomly Connected Neural Networks. Complexity International 2 (1995).
20. Diederich, J., Kuenstliche Neuronale Netze zur Erklaerung der menschlichen Intelligenz (Artificial Neural Networks for the Explanation of Human Intelligence). Künstliche Intelligenz (April 1994)
21. Diederich, J., Explanation and Artificial Neural Networks. International Journal of Man-Machine Studies (1992) 37, 335–355.
22. Diederich, J., Neue Trends im Konnektionismus (New Trends in Connectionism). Künstliche Intelligenz (1991) 2, 6–11.
23. Diederich J. , “Simulated Annealing” as a Cognitive Process. Cognitive Systems 2/4 (1990) 321–328.
24. Diederich, J., Spreading Activation and Connectionist Systems for Natural Language Processing. Theoretical Linguistics 16 (1990) 1, 25–64.
25. Diederich, J., Instruction and High-Level Learning in Connectionist Networks. Connection Science. Journal of Neural Computing, Artificial Intelligence and Cognitive Research 1 (1989) 2, 163–182. Reprinted in: Hendler, J.A., Sharkey, N.E. (Eds.), Connectionist AI: Readings from Connection Science, Intellect Publ. (1992).
26. Diederich, J., Steps Toward Knowledge-Intensive Connectionist Learning, in Pollack, J., Barnden J. (Eds.), Advances in Connectionist and Neural Computation Theory. Norwood, N.J., Ablex Publ. (1989) 284–304.
27. Diederich, J., Linster, M., Knowledge-Based Knowledge Elicitation, in Guida, G., Tasso, C. (Eds.), Topics in Expert System Design. Amsterdam, North Holland: (1989) 323–350.
28. Diederich, J., Techniken des Wissenserwerbs (Knowledge Acquisition Techniques), in Christaller, Th. (Ed.), 5. Künstliche Intelligenz Frühjahrs­schule (1987). Berlin: Springer Verlag 1988 = Springer Informatik Fachberichte 202, 295–335.
29. Diederich, J., Ruhmann, I., May, M., KRITON: A Knowledge Acquisition Tool for Expert Systems, in Boose, J.H., Gaines, B. (Eds.), Knowledge Acquisition Tools for Expert Systems. Knowledge-Based Systems 2. London etc: Academic Press (1988) 83–94.
30. Diederich, J., Trends im Konnektionismus (Trends in Connectionism). Künstliche Intelligenz (1988) 1, 28–32.
31. Diederich, J., Ruhmann, I., May, M., KRITON: A Knowledge Acquisition Tool For Expert Systems. International Journal of Man-Machine Studies 26 (1987) 29-40.
32. Diederich, J., Wissenserwerb und Wissensrepräsentation in KRITON (Knowledge Elicitation and Knowledge Representation in KRITON), in Heyer, G., Krems, J. (Eds.), Wissensarten und ihre Darstellung. Berlin, Germany: Springer Ver­lag (1987).
33. Diederich, J., May, M., Ruhmann, I., KRITON: Wissensakquisition für Expertensysteme (KRITON: Knowledge Acquisition for Expert Systems), in Balzert, G., Heyer, G., Lutze, R. (Eds.), Expertensysteme '87, Konzepte und Werkzeuge. Stuttgart: Teubner Verlag (1987) 210–221.

Refereed Conference Publications

1. Al-Ajmi, A.; Pedersen, M.; Diederich, J.; Al-Jabri, B.; Al-Jabri, S.; Al-Nazwani, M., Support vector machines for the automatic grading of assignments . Redesigning Pedagogy: Research, Policy, Practise. Singapore, May 30– June 1, 2005.
2. Barakat, M.N., Barakat, N., Diederich, J., Al-Lawati, J., Modified cut off values for the diagnosis of Impaired Glucose Tolerance (IGT): A data mining approach . Arab Diabetes. Cairo, Egypt, March 22-25, 2005.
3. Barakat, M.N., Barakat, N., Diederich, J., Al-Lawati, J., Diagnosis of Diabetes Mellitus: A data mining approach. First International Conference of the Gulf Group for the Study of Diabetes. Dubai (UAE), February 13-15, 2005.
4. Barakat, N., Diederich, J., Learning-based rule-extraction from support vector machines – Performance on benchmark datasets . Kasabov, N., Chan, Z.S.H. (Eds.), Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, Auckland, New Zealand (December 13-15, 2004). Auckland: Knowledge Engineering and Discovery Research Institute (KEDRI) (2004) .
5. Diederich, J., Barakat, N., Knowledge Initialisation for Support Vector Machines . Kasabov, N., Chan, Z.S.H. (Eds.), Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, Auckland, New Zealand (December 13-15, 2004). Auckland: Knowledge Engineering and Discovery Research Institute (KEDRI) (2004) .
6. Diederich, J., Song, I., Al-Ajmi, A., Zhu, J., Authorship attribution and search engine technology . Kasabov, N., Chan, Z.S.H. (Eds.), Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, Auckland, New Zealand (December 13-15, 2004). Auckland: Knowledge Engineering and Discovery Research Institute (KEDRI) (2004).
7. Barakat, N., Diederich, J., Learning-based Rule-extraction from Support Vector Machines . 14th International Conference on Computer Theory and applications (ICCTA'2004), September 28-30, 2004, Alexandria, Egypt .
8. Diederich, J., Barakat, N., Hybrid Rule-Extraction from Support Vector Machines . IEEE Conference on Cybernetics and Intelligent Systems, December 1-3, 2004 , Singapore.
9. Diederich, J., New technologies to determine plagiarism in written texts . International Conference on Educational Technology, September 9-10, 2004, Singapore.
10. Abusaa, M., Diederich, J., Al Ajmi, A., Machine learning, text classification and mental health . Health Informatics Conference, July 25-27, 2004 , Brisbane, Queensland.
11. Abusaa, M., Diederich, J., Al Ajmi, A., Web mining and metal health . International Conference on Intelligent Agents, Web Technologies and Internet Commerce, July 12-14, 2004 , Gold Coast, Queensland.
12. Diederich, J., Computational methods to determine plagiarism in assessment . Global Conference on Excellence in Education and Training , May 20-22, 2004, SP Convention Centre, Singapore Polytechnic, Singapore.
13. Diederich, J., Yellowlees, P., Al Ajmi, A., E x-Ray: Text Classification and the Assessment of Mental Health, Bruza, P., Thom, J. (Eds.), Proceedings of the Eighth Australian Document Computing Symposium, Canberra, Australia (December 15, 2003) 75–76. Canberra: CSIRO Discovery Centre (2003), ISBN-0-643-09061-4.
14. Diederich, J., Yellowlees, P., E x-Ray: Machine Learning for the Assessment of Mental Health, Kasabov, N., Chan, Z.S.H. (Eds.), Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, Auckland, New Zealand (November 21–22, 2003) 78–79. Auckland: Knowledge Engineering and Discovery Research Institute (KEDRI) (2003).
15. Diederich, J., Yellowlees, P., Al Ajmi, A., E x-Ray: The Extraction of Diagnostic Categories from Psychiatric Reports, Kasabov, N.; Chan, Z.S.H. (Eds.), Proceedings of the Conference on Neuro-Computing and Evolving Intelligence, Auckland, New Zealand (November 21–22, 2003) 75–77. Auckland: Knowledge Engineering and Discovery Research Institute (KEDRI) (2003).
16. Heyer, C., Diederich, J., Tibianna: A Learning-Based Search Engine with Query Refinement, Thom, J., Kay, J. (Eds.), Proceedings of the Seventh Australian Document Computing Symposium, Sydney, Australia (December 16, 2002) 105–108. Sydney, Australia: The University of Sydney (2002), ISBN 1-86487-525-9.
17. Heyer, C., Madden, J., Hollingsworth, K., Heydon, P., Bartlett, K., Diederich, J., MyNewsWave: User-centered Web Search and News Delivery, Thom, J., Kay, J. (Eds.), Proceedings of the Seventh Australian Document Computing Symposium, Sydney, Australia (December 16, 2002), 121–124. Sydney, Australia: The University of Sydney (2002), ISBN 1-86487-525-9.
18. Mitsdorfer, R., Diederich, J., Tan, C.N.W., Rule Extraction from Technology IPOs in the US Stock Market, 9th International Conference on Neural Information Processing . 4th Asia-Pacific Conference on Simulated Evolution And Learning. 2002 International Conference on Fuzzy Systems and Knowledge Discovery. Orchid Country Club, Singapore (November 18 –22, 2002).
19. Hogan, J.M., Hitchcock, Y., Diederich, J., Support Vector Machine Classification of Facial Expressions. 6th Australasian Cognitive Science Conference,  Perth, Australia (2002).
20. Mitsdorfer, R., Diederich, J., Tan, C.N.W., Machine Learning in the Capital Market.
21. ANNES 2001 Conference, Dunedin, New Zealand ( November 22–24, 2001).
22. Hayward , R., Cattell, P., Diederich, J., Learning Theories for the BabanaPro Expert System. IEA/AIE-01 (Industrial and Engineering Applications of Artificial Intelligence and Expert Systems) 87–92, Cairns, Australia (2001).
23. Brown, A.R., Towsey, M., Wright, S, Diederich, J., Statistical Analysis of the Features of Diatonic Music Using jMusic Software. Proceedings of Computing Arts 2001, Digital Resources in the Humanities, Sydney, Australia: The University of Sydney.
24. Hogan, J.M., Diederich, J., Encoding of Spatial Relations Semantics through Selective Attention, in Schwitter, R., (Ed.), Proceedings of the 2001 Australasian Natural Language Processing Workshop, Sydney (2001) pp.1–8.
25. Towsey, M., Brown, A., Wright, S., Diederich, J., Towards Melodic Extension Using Genetic Algorithms. Proceedings of the Australasian Computer Music Conference 2000, Brown, A., Wilding R. (Eds.), Brisbane, Australia: ACMA, 85–91.
26. Hayward , R., Nayak, R., Diederich, J., Using Predicates to Explain Networks. ECAI-2000 Workshop: "Foundations of Connectionist-Symbolic Integration: Representation, Paradigms and Algorithms. Berlin, Germany (August 2000).
27. Towsey, M., D'Este, C., Diederich, J., Neural Weak Classifiers for Language Learning.
28. Learning Workshop. Snowbird, Utah, USA ( April 4–7, 2000).
29. Towsey, M., D'Este, C., Diederich, J., Neural Weak Classifiers for Language Learning.
30. Evolutionary Computation and Cognitive Science Workshop, Melbourne , Australia ( January 28–29, 2000).
31. Kindermann, J., Diederich, J., Leopold, E., Paass, G., Authorship Attribution with Support Vector Machines. Learning Workshop. Snowbird, Utah, USA ( April 4–7, 2000).
32. Wright, S., Diederich, J., Brown, A., Towsey, M., Interactive Musical Composition. First International Workshop , Developing Creativity and Large Mental Outlook in the Computer Age - CLMO2000,” Bergen, Norway ( August 14–18, 2000).
33. Hogan, J., Norris, M., Diederich, J., A Receptive Field Neural Network Model for the Representation of Facial Expressions, Davis, C., van Gelder, T., & Wales, R. (Eds.), Cognitive Science in Australia, 2000, Proceedings of the Fifth Biennial Conference of the Australasian Cognitive Science Society. Adelaide, Australia: Causal (2000).
34. D’Este , C., Towsey, M., Diederich, J., Sparsely-Connected Recurrent Neural Networks for Natural Language Learning. 5th Natural Language Processing Pacific Rim Symposium (NLPRS’99). Beijing, China (November 5–7, 1999).
35. Hogan, J., Norris, M., Diederich, J., A Receptive Field Neural Network which Learns to Describe Facial Expressions. 5th Natural Language Processing Pacific Rim Symposium (NLPRS’99). Beijing, China (November 5–7, 1999).
36. Towsey, M., Diederich, J., Modelling Cortical Function Starting with Minimal Connectivity. 6th International Conference of Neural Information Processing, (ICONIP'99), Perth, Australia (November 16–20, 1999).
37. Towsey, M., Diederich, J., Modeling Functional Segregation of Cortical Columns for a Natural Language Task. Learning Workshop. Snowbird, Utah, USA (April 6–9, 1999).
38. Nayak, R., Diederich, J., Inductive Knowledge Acquisition Using Feedforward Neural Networks. Pacific Rim Knowledge Acquisition Workshop, Singapore (November 22–23, 1998).
39. Brugman, C., Diederich, J., Connectionist Representations of Cognitive Linguistics.
40. Australian Linguistics Institute. Research Issues for Cognitive Linguistics. Brisbane, Australia (July 6–16, 1998).
41. Towsey, M., Diederich, J., Rule-Extraction from Trained Neural Networks on a Medical Task, in Down, T., Frean, M., Gallagher, M., Proceedings of the Ninth Australian Neural Networks Conference, Brisbane, Australia (February 11–13, 1998) 133–137.
42. Tickle, A.B., Andrews, R., Golea, M., Diederich, J., A Light in the Darkness: the Emerging Agenda for Extracting the Knowledge Embedded within Trained Artificial Neural Networks, in Down, T., Frean, M., Gallagher, M., Proceedings of the Ninth Australian Neural Networks Conference, Brisbane, Australia (February 11–13, 1998) 143–147.
43. Hayward , R., Hogan, J., Dillon, L., Diederich, J., Explaining Networks with Predicates,
44. in Down, T., Frean, M., Gallagher, M., Proceedings of the Ninth Australian Neural Networks Conference, Brisbane, Australia. ( February 11–13, 1998) 148–152.
45. Chalup, S., Hayward, R., Diederich, J., Rule-extraction from Artificial Neural Networks Trained on Elementary Number Classification Tasks, in Down, T., Frean, M., Gallagher, M., Proceedings of the Ninth Australian Neural Networks Conference, Brisbane, Australia (February 11-13, 1998) 265-270.
46. Jones, P., Diederich, J., Predicting the Winners of Tennis Matches Using Rule-Extraction from Neural Networks and Decision Trees, in Down, T., Frean, M., Gallagher, M., Proceedings of the Ninth Australian Neural Networks Conference, Brisbane, Australia (February 11–13, 1998) 271–275.
47. Hogan, J.M., Diederich, J., Finn, G.D., Selective Attention and the Acquisition of Spatial Semantics. Computational Natural Language Learning Conference. Australian Natural Language Processing Fortnight. Sydney, Australia: Macquarie University (January 15–17, 1998).
48. Schellhammer, I., Diederich, J., Towsey, M., Brugman, C., Knowledge Extraction and Recurrent Neural Networks: An Analysis of an Elman Network trained on a Natural Language Learning Task. Computational Natural Language Learning Conference. Australian Natural Language Processing Fortnight. Sydney, Australia: Macquarie University (January 15–17, 1998).
49. Towsey, M., Diederich, J., Schellhammer, I., Chalup, S., Brugman, C., Natural Language Learning by Recurrent Neural Networks: A Comparison with Probabilistic Approaches. Computational Natural Language Learning Conference. Australian Natural Language Processing Fortnight. Sydney, Australia: Macquarie University (January 15–17, 1998).
50. Tickle, A., Golea, M., Hayward, R., Diederich, J., The Truth Is in There: Current Issues in Extracting Rules from Feedforward Neural Networks. Proceedings of the International Conference on Neural Networks, Volume 4, 2530–2534 (1997).
51. Gurrie, E., Anderson, A., Diederich, J., The Sloppy Modelling of an Information Security Risk Model. To be published in Proceedings of Pacific Asia Conference on Information Systems (PACIS-97) Brisbane, Australia (April 2–5, 1997) 875–888. Best Paper Award .
52. Hayward , R., Diederich, J., Steps Towards Connectionist Explanation Based Generalisation, in Andrews, R., Diederich, J. (Eds.), Proceedings of the NIPS*96 Rule Extraction from Trained Artificial Neural Network Workshop. Brisbane, Australia: QUT Publication 1996, 29–37.
53. Hayward , R., Diederich, J., Implementation of a SHRUTI Knowledge Representation and Reasoning System. European Conference on Artificial Intelligence 1996, Workshop on "Neural Networks and Structured Knowledge" (August 1996).
54. Diederich, J., Hogan, J.M., Golea, M., Muthiah, S., Rule Initialisation by Neural Networks, in Andrews, R., Diederich, J. (Eds.), Rules and Networks, Brisbane, Australia: QUT Publication (1996) 34–42.
55. Tickle, A., Orlowski, M., Diederich, J., DEDEC: A Methodology for Extracting Rules from Trained Artificial Neural Networks, in Andrews, R., Diederich, J. (Eds.), Rules and Networks, Brisbane, Australia: QUT Publication (1996) 90–102, ISBN 1-86435-162-4.
56. Hayward , R., Diederich, J., Extracting Rules for Grammar Recognition from Cascade-2 Networks. NIPS-95 workshop on Symbolic Dynamics in Neural Processing, Vail, USA (December 2, 1995).
57. Diederich, J., Neural Networks and AI for Human-Computer Interaction and User Modelling. Workshop on Human-Computer Interaction and Hybrid Artificial Intelligence, Kuenstliche Intelligenz Conference, Bielefeld (September 1995).
58. Visser, U., Pop, E., Hayward, R., Diederich, J., Regelextraktion aus neuronalen Netzen am Beispiel der Ermittlung von Herbiziden im Pflanzenschutz-Beratungssystem PRO-PLANT. (Rule-Extraction from Neural Networks for the Acquisition of Herbicide Knowledge in the PRO-PLANT Expert System), Proceedings of the "Umwelt-Informatik" Congress (September 1995) Berlin, Germany.
59. Pop, E., Hayward, R., Diederich, J., Rule-Neg: Extracting Rules from Trained ANN by Step-Wise Negation. Third Conference of the Australasian Cognitive Science Societ, Brisbane, Australia: University of Queensland, p. 62 (April 1995). Best Student Paper Award .
60. Gurrie, E., Tickle, A.B., Diederich, J., Anderson, A., Knowledge Acquisition and the Re-Use of Security Knowledge, Gappa, U., Voss, H. (Eds.), Knowledge Engineering Forum, St Augustin: GMD (March 1995).
61. Pop, E., Tickle, A.B., Hayward, R., Simonetta, D., Diederich, J., Artificial Intelligence meets Artificial Insemination. Proceedings of the IEA/AIE-95 (Industrial and Engineering Applications of Artificial Intelligence and Expert Systems), 87–92, Melbourne, Australia (June 6–8, 1995).
62. Diederich, J., Simonetta, D., Paass, G., Estimating Blue-Green Algae Counts With Neurocomputing Techniques. Proceedings of the IEA/AIE-95 (Industrial and Engineering Applications of Artificial Intelligence and Expert Systems), 127–132, Melbourne, Australia (June 6–8, 1995).
63. Gurrie, E., Diederich, J., Tickle, A.B., Anderson, A. KARDS: Hybrid Knowledge Acquisition for a Security Risk Model. Proceedings of the IEA/AIE-95 (Industrial and Engineering Applications of Artificial Intelligence and Expert Systems), 501–506, Melbourne, Australia (June 6-8, 1995). Best Paper Award .
64. Hogan, J.M., Diederich, J., Feasibility of Incremental Learning in Biologically Plausible Networks. Australian Conference on Neural Networks, Sydney, Australia (1995).
65. Bateson , S., Hogan, J.M., Diederich, J., Reasoning and Learning in an Oscillatory Neural Network. Second Automated Reasoning Day, Bribie Island, Queensland, Australia (September 24–25, 1994).
66. Diederich, J., Finn, G., Young, R., Neural Network-Based Selection of Dairy Bulls via Electronic Communication. IAALD IXth World Congress, Communicating Agricultural Information in Remote Places, Melbourne, Australia (January 1995).
67. Diederich, J., Tickle, A.B., Explanation and Collective Computation. COMPLEX-94, Complex Systems Conference, Rockhampton, Australia (September 1994).
68. Hogan, J.M., Diederich, J., Probabilistic Relations in Randomly Connected Neural Networks. COMPLEX-94, Complex Systems Conference, Rockhampton, Australia (September 1994).
69. Bateson , S., Hogan, J.M., Diederich, J., Learning Declarative Relations in an Oscillatory Neural Network. COMPLEX-94, Complex Systems Conference, Rockhampton, Australia (September 1994).
70. Hogan, J.M., Diederich, J., Cortical Connectivity and Random Neural Networks. American Academy of Advancement of Science (Pacific Division). Cognitive Neuroscience Symposium, San Francisco, USA (June 1994).
71. Bateson , S., Diederich, J., Learning Declarative Relations in an Oscillatory Connectionist Network. American Academy of Advancement of Science (Pacific Division). Cognitive Neuroscience Symposium, San Francisco, USA (June 1994).
72. Hogan, J.M., Diederich, J., Probabilistic Relations in Randomly Connected Networks.
73. Inaugural Meeting of the "Cognitive Neuroscience" Society ( March 1994).
74. Diederich, J., Tsoi, A. C., Connectionist Modeling and Parallel Architectures, in Cowan, J.D., Tesauro, G., Alspector, J. (Eds.), Proceedings of the Sixth Neural Information Processing Systems Conference (NIPS-93), 1179–1179. Los Altos, USA: Morgan Kaufman Publ. (1994).
75. Diederich, J., Kurfess, F., Learning Unification with Neural Networks. Australian Conference on Neural Networks, Brisbane, Australia (1994).
76. Diederich, J., Wasserschaff, M., Recurrent Neural Networks for Sequence Production. IJCAI-93, International Joint Conference on Artificial Intelligence, Los Altos, USA: Morgan Kaufman Publ. (1993).
77. Diederich, J., Thümmel, A., Bartels, E., Recurrent and Feedforward Networks for Human-Computer Interaction, in Neumann, B. (Ed.), ECAI-92, 10th European Conference on Artificial Intelligence, Chichester, UK: John Wiley & Sons (1992) 206–207.
78. Long, D.L., Diederich, J., Answering Open-Class Questions with Connectionist Methods.
79. The Cognitive Science of Natural Language Processing (CSNLP) Workshop (March 14–15, 1992) Dublin, Ireland.
80. Diederich, J., Long, D.L., Efficient Question Answering in a Hybrid System. International Joint Conference on Neural Networks (ICNN 1991), Singapore ( November 18–21, 1991).
81. Diederich, J., Re-learning in Connectionist Semantic Networks, in Morik, K., Bergadano, F., Buntine, W. (Eds.), IJCAI-91 Workshop: Evaluating and Changing Representation in Machine Learn­ing, Sydney, Australia (1991).
82. Diederich, J., Connectionist Question Answering. AAAI Symposium: Connectionist Natural Language Processing. Stanford University (March 26–28, 1991) Menlo Park, USA: AAAI (1991) 15–21.
83. Diederich, J., Bartels, E., Thümmel, A., Rayburn, W.R., Connectionist Learning and Man-Machine Communication. Proceedings of the Third International Workshop on "Adaptive Learning and Neural Networks,” 81–86, Ulm, Germany: (1991) = FAW-B-92001.
84. Diederich, J., An Explanation Component for a Connectionist Infer­ence System, in Aiello, L. (Ed.), ECAI-90, 9th European Conference on Artificial Intelligence, London, UK: Pitman Publ. (1990) 222–227.
85. Diederich, J., Recruitment vs. Backpropagation Learning: An Empirical Study on Re-learning in Connectionist Networks, in Dorffner, G. (Ed.), OEGAI-90, 6. Österreichische Artificial-In­telligence-Tagung, Salzburg, Germany (September 1990). Berlin: Springer Verlag (1990) 186–190 = Springer Infor­matik Fachberichte 252. Also in: Schnepf, U. (Hrsg.), Workshop Proceedings, Biology, Cognition, and Robotics (18–20 June 1990), St. Augustin: GMD (1990).
86. Rayburn , W.M., Diederich, J., Some Remarks on Emotion, Cognition, and Connectionist Systems in Dorffner, G. (Ed.), OEGAI-90, 6. Österreichische Artificial-In­telligence-Tagung, Salzburg, Germany (September 1990). Berlin: Springer Verlag (1990) 190–195 = Springer Infor­matik Fachberichte 252.
87. Diederich, J., Explanation and Connectionism, in Metzing, D. (Ed.), GWAI-89, German Workshop on Artifi­cial Intelli­gence, Berlin: Springer Verlag (1989) 118–127 = Springer Informatik Fachberichte 216.
88. Diederich, J., "Learning by Instruction" in Connectionist Systems, in Segre, A. (Ed.), Pro­ceedings of the 6th International Workshop on Machine Learn­ing, Palo Alto, USA, Morgan Kaufman Publ. (1989), 66–68.
89. Diederich, J., Inheritance and Learning in a Structured Neural Network. TENCON-89 Conference, Bombay, India (1989).
90. Schnelle, H., Cottrell, G., Dey, P., Diederich, J., Reich, P., Shastri, L., Yonezawa, A., Parallel Processing in Computational Linguistics, in Vargha, D. (Ed.), COLING-88, Proceedings of the International Conference on Computational Linguistics, Budapest, Ungarn: MTESZ Printing House (1988) 595–598.
91. Diederich, J., Connectionist Recruitment Learning, in Kodratoff, Y. (Ed.), ECAI-88, 8th European Conference on Artificial Intelligence, London, UK: Pitman Publishing (1988) 351–356.
92. Diederich, J., Knowledge Representation and Learning in a Structured Neural Network, in Kindermann, J., Lischka, C. (Eds.), Workshop Konnektionismus, St. Augustin: GMD (1988) 47–62 = GMD Technical Report 329.
93. Diederich, J., Linster, M., Ruhmann, I., Uthmann, T., A Methodology for Integrating Different Knowledge Elicitation Tech­ni­ques. European Workshop for Knowledge Acquisition for Knowledge-Based Systems (EKAW-87), London, UK (September 1–3, 1987).
94. Diederich, J., Autopoiesis and Self-Organization in Connectionist Systems, in European Society for the Study of Cognitive Systems Workshop, Bern, Germany (June 25–27, 1987).
95. Diederich, J., Knowledge-Based Knowledge Elicitation. International Joint Conference on Artificial Intelligence (IJCAI-87), Los Altos, USA: Morgan Kaufman Publ. 1 (1987) 201–204.
96. Diederich, J., Ruhmann, I., May, M., KRITON: A Knowledge Acquisition Tool For Expert Systems, in Boose, J.H., Gaines, B. (Eds.), Proceedings of the "Knowledge Acquisition for Knowledge-Based Systems Workshop", Banff, Canada (November 3–7, 1986).
97. Diederich, J., May, M., Ruhmann, I., Hybrid Knowledge Acquisition, in Rollinger, C.R.., Horn, W. (Eds.) GWAI-86 und 2. Österreichische Artificial-In­telligence-Tagung, Berlin : Springer Verlag (1986) 343-348 = Springer Infor­matik Fachberichte 12.
98. Diederich, J., Parallelverarbeitung in Netzwerkbasierten Systemen (Parallel Processing in Network-Based Systems), in Stoyan, H. (Ed.), GWAI-85, 9th German Workshop on Artificial Intelligence, Berlin: Springer Verlag (1986) 26–34 = Springer Infor­matik Fachberichte 118.