B. Zupan, M. Bohanec, J. Demsar, I. Bratko (1998) Feature
transformation by function decomposition. IEEE Intelligent
Systems (former IEEE Expert), 13(2): 38-43,
March/April 1998. (abstract)
B. Zupan, M. Bohanec, J. Demsar, I. Bratko (1998) Feature
transformation by function decomposition. IEEE Intelligent
Systems (former IEEE Expert), 13(2): 38-43,
March/April 1998. (abstract)
B. Zupan, M. Bohanec, J. Demsar, I. Bratko (1998) Learning by
discovering concept hierarchies. Submitted to Artificial
Intelligence.
B. Zupan and M. Bohanec (1998) Experimental
evaluation of three partition selection criteria for decision table
decomposition. Informatica, 22(1998) 207:217.
B. Zupan (1997) Machine
Learning Based on Function Decomposition. Ph.D. Thesis,
University of Ljubljana.
[
PostScript
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Compressed PS
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PDF
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Compressed PDF
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(abstract,
extended
abstract in Slovene)
B. Zupan, M. Bohanec, J. Demsar, I. Bratko (1998)
Feature transformation by function decomposition. In (H. Liu and
H. Motoda, eds.) Feature extraction, construction and
selection, pages 325-340. Kluwer. (this is an extended
version of the above IEEE Intelligent Systems paper)
B. Zupan, M. Bohanec, I. Bratko, J. Demsar (1997)
Machine
learning by function decomposition. In (D. Fisher, ed.) Proc.
ICML-97, pages 421-429. Morgan-Kaufmann.
B.
Zupan, M. Bohanec, I. Bratko, B. Cestnik (1997) A
dataset decomposition approach to data mining and machine discovery.
In (D. Heckerman, H. Mannila, D. Pregibon, and R. Uthurusamy, eds.) Proc.
of the Third International Conference on Knowledge Discovery and Data Mining
(KDD-97), pages 299-303. AAAI Press.
M. Bohanec, B.
Zupan, I. Bratko, B. Cestnik (1997) A
function decomposition method for development of hierarchical multi-attribute
decision models. In Proc. ISDSS-97, pages 503-514. Lausanne,
Switzerland.
J.
Demsar, B. Zupan, M. Bohanec, and I. Bratko (1997) Constructive
Induction by Decomposition of Real Functions, In (M. Someren, G. Widmer,
eds.) Machine Learning: ECML-97, In Proc. ECML-97, pages
94-107. Springer-Verlag.
N. Lavrac, E.
Keravnou, B. Zupan, editors (1997) Intelligent
Data Analysis in Medicine and Pharmacology. Kluwer.
N. Lavrac,
I. Kononenko, E. Keravnou, M. Kukar, and B. Zupan (1998) Intelligent
data analysis for medical diagnosis: Using machine learning and
temporal abstraction. to appear in AI Communications
B. Zupan
and S. Dzeroski (1998) Acquiring background knowledge for machine
learning using function decomposition: A case study in
rheumatology. Artificial Intelligence in Medicine, Vol. 14, No. 1-2, pp. 101-118.
B. Zupan,
D. S. Stokic, M. Bohanec, M. M. Priebe, A. M. Sherwood (1998) Relating
clinical and neurophysiological assessment of spasticity by machine
learning. International Journal of Medical
Informatics, Vol. 49, No. 2, pp. 243-252.
B. Zupan, J.
A. Halter, M. Bohanec (1997) Concept Discovery by Decision Table
Decomposition and its Application in Neurophysiology, In (N. Lavrac,
E. Keravnou, B. Zupan, eds.) Intelligent data analysis in medicine
and pharmacology, pages 261-277, Kluwer. (abstract)
N. Lavrac, E.
Keravnou, B. Zupan (1997) Intelligent Data Analysis in Medicine and Pharmacology:
An Overview, In (N. Lavrac, E. Keravnou, B. Zupan, eds.) Intelligent
data analysis in medicine and pharmacology, pages 1-13, Kluwer.
B. Zupan, D.
S. Stokic, M. Bohanec, M. M. Priebe, A. M. Sherwood (1997) Relating
clinical and neurophysiological assessment of spasticity by machine learning.
In Proc. 10th IEEE Symposium on Computer-Based Medical Systems,
Maribor, June 11-13, 1997.
B. Zupan, S.
Dzeroski (1997) Acquiring and
validating background knowledge for machine learning using function
decomposition. In (E. Keravnou et al., eds.) Artificial
Intelligence in Medicine. Proc. AIME-97, Grenoble, France, pages
86-97, Springer-Verlag
B. Zupan, J.
A. Halter, and M. Bohanec (1996) Qualitative
Model Approach to Computer Assisted Reasoning in Physiology. In Workshop
Notes of IDAMAP-96: An Intelligent Data Analysis in Medicine and Pharmacology
Workshop, Budapest, pages 103-108.
B. Zupan, J.
A. Halter, and M. Bohanec. Computer-assisted
reasoning on principles and properties of medical physiology. In Proc.
of Workshop on Computer-Aided Data Analysis in Medicine, CADAM-95,
pages 258-271, Bled, November 1995.
B.
Zupan (1997) Optimization
of Real-Time Rule-Based Expert Systems. M. Sc. Thesis, Department
of Computer Science, University
of Houston, Texas.
B. Zupan, A.
M. K. Cheng (1998) Optimization of
rule-based systems using state-space
graphs. IEEE Transactions on Knowledge and Data
Engineering. 10(2): 238-254.
B. Zupan, A.
M. K. Cheng, and M. Bohanec (1995) Static
stability analysis of real-time systems: Porting crisp methods to fuzzy.
Electrotechnical Review, 62(3-4): 141-256.
B. Zupan, A.
M. K. Cheng, and M. Bohanec (1995) Static stability analysis method
for fuzzy rule-chaining real-time systems. In (J. Kocijan, R. Karba,
eds.) Proc. of Intl. IFAC Workshop on Artificial Intelligence in
Real-Time Control, pages 280-285, Bled.
B. Zupan and
A. M. K. Cheng (1994) Optimization
of rule-based expert systems via state transition system construction.
In Proc. 10th IEEE Conference on Artificial Intelligence for Applications:
Developing Enabling Technologies and Integrating AI into Application Solutions
(CAIA-94), pages 320-326, San Antonio, TX.
B. Zupan and
A. M. K. Cheng (1994) Response time optimization of rule-based expert systems.
In Knowledge-Based Artificial Intelligence Systems in Aerospace and
Industry, number 2244 in SPIE Proceedings Series, pages 240-248.
T. Sketa, B.
Zupan (1993) Modeliranje dinamike celjenja ran. Medicinski razgledi,
32: 3-14. (in Slovene)
J.A. Halter and
B. Zupan (1996) Modeling Periaxonal and Intra-Axonal Ion Concentration
Dynamics in Myelinated Nerve Fibers (abstract), In Proc. CNS-96 Computational
Neuroscience Meeting, Cambridge, Massachusetts.
J. A. Halter
and B. Zupan (1995) Influence of nodal-paranodal properties on conduction
in myelinated nerve fibers. Annals of Biomedical Engineering, 23:S-80,
1995. Abstract Supplement for the BMES 1995 Annual Fall Meeting, Boston.
B. Zupan and
J. A. Halter (1995) A
simulation and optimization environment for models in computational neurobiology.
In Proc. of European Simulation Congress, EUROSIM'95, pages 963-968,
Vienna.
J. A. Halter,
D. Micci Barreca, and B. Zupan (1994) Implementation of myelinated nerve
fiber model on a MIMD computer. In Proc. of the IFAC Symposium,
pages 511-512, Galveston, TX.
V. Valencic,
B. Zupan, and T. Sketa. Models of wound healing dynamics. In Proc. 13th
Mediterranean IEEE Electrotechnical Conference, MELECOM-91,
pages 737-740, Ljubljana, Slovenia, June 1991.