Books Books
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Brause, R. |
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Brause, R. Series "Leitfäden und Monographien der Informatik", Teubner Verlag, Stuttgart 1995, 2. Aufl. ISBN 3-519-02247-8 |
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Brause, R. |
"Der Autor hat eines der wenigen umfassenden Werke zu grundlegenden Funktionsweisen von Betriebssystemen
verfasst, das sich durchaus mit den Klassikern von Andrew Tanenbaum und Gary Nutt messen kann" Computer Zeitung, Nr. 10, 9.3.2000 |
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Papers, book chapters
and reportsCopyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
B. Ende, R.Brause:
Mutual Information based Clustering of Market Basket Data for Profiling Users,
in: IEEE 19th Int. Conf on Tools with Art. Intell. ICTAI-2007, Patras 2007, IEEE Press 2007
Nicos Maglaveras, Ioanna
Chouvarda, Vassilis Koutkias, Rüdiger Brause (Eds.): Biological and Medical Data Analysis, Proc. 7th International
Symposium, ISBMDA 2006, Thessaloniki, Greece, December 7-8, 2006. Lecture Notes in Bioinformatics, LNCS Vol 4345,
Springer Verlag Heidelberg, ISBN 978-3-540-68063-5
A. Ünlü, R.
Brause, K. Krakow: Handwriting Analysis for Diagnosis and Prognosis of Parkinson’s Disease,
in: N.Maglaveras, I.Chouvarda, V. Koutkias, R.Brause (Eds.): Proc. Int. Symp. Biological and Medical Data Analysis,
LNCS Vol 4345, Springer Verlag Heidelberg 2006, pp. 441-450
R. Brause: Robustness
Mechanisms in Biology, Symposium on Nature Inspired Systems, Tenerife 2006. MIT, Aachen 2006
R.
Brause, E. Hanisch, J.Paetz, B.Arlt : Predicting Death for Abdominal Septic
Shock Patients-The results of the MEDAN project in: A. Nierhaus, K.G. Kreymann (Eds.): Sepsis, SIRS, Immune
Response - Concepts, Diagnostics and Therapy, Pabst Science Publ., Lengerich 2005, pp. 119-126
R.
Brause: Adaptive modeling of biochemical pathways. Int. Journal on Artificial
Intelligence Tools Vol13, No.4 (Dec.2004), pp. 851-862
R.
Brause: Model selection and adaptation for biochemical pathways. 5th International
Symposium on Biological and Medical Data Analysis ISBMDA 2004,
José M. Barreiro, Fernando Martin-Sanchez, Víctor Maojo, et al. (Eds.), Lecture Notes in Computer
Science LNCS 3337, Springer Verlag 2004, pp. 439-449
M. Schneider: Ein adaptives Verfahren zur Modellierung
und Verifikation der Unterschriftendynamik, Diplomarbeit am Fachbereich Biologie und Informatik, J.W.G.-Universität
Frankfurt a.M., 2004
R.
Brause:Data driven automatic model selection and parameter adaptation– a case study for
septic shock IEEE 16th Int. Conf on Tools with Art. Intell. ICTAI-2004, IEEE Press 2004, pp.278-283,
(2004)
R.
Brause: Adaptive modeling of biochemical pathways, Abstracts of 6th World Congress on Trauma, Shock, Inflammation
and Sepsis, Suppl. to Shock, Vol.21, 2004, p.146
R.
Brause, E. Hanisch, J. Paetz, B. Arlt: Neuronal networks for sepsis prognosis - the MEDAN project, Journal
für Anästhesie und Intensivbehandlung (11)1-2004, pp.40-43, updated
version
J. Paetz, B. Arlt, K. Erz, K. Holzer, R. Brause, E. Hanisch: Data Quality Aspects of a Database
for Abdominal Septic Shock Patients, Journal of Computer Methods and Programs in Biomedicine 75(1), 23-30 (2004)
R.
Brause, E.Hanisch, J.Paetz, B. Arlt: The MEDAN project: results and practical meanings, 3. Int. Symposium "Sepsis,
SIRS, Immune Response - Concepts, Diagnostics and Therapy", A.Nierhaus, J.Schulte am Esch (Eds.), PABST Science
Publishers, Lengerich (Germany) 2003, pp.122-129
R.
Brause: Adaptive modeling of biochemical pathways. IEEE 15th Int.
Conf on Tools with Art. Intell. ICTAI-2003, IEEE Press 2003, pp.62-68, (2003), "Best
paper" award of ICTAI-2003
J.
Paetz: Evolving Score Neural Networks,
Proc. of the 1st Indian Int. Conf. on Artificial Intelligence (IICAI 2003), Hyderabad, India
P. Perner, R. Brause, H.Holzhütter (eds.): Medical
Data Analysis, Proc. Of the 4th Int. Symp. On Medical Data Analysis ISMDA 2003, Springer Lecture Notes on Comp.Sc.,
LNCS 2868, Springer Verlag, Heidelberg 2003, ISBN: 3-540-20282-X
R. Brause, M.
Ueberall: Adaptive Content Mapping for Internet Navigation, in: R.J.Howlett,
N.S.Ichalkaranje, L.C.Jain,G.Tonfoni (Eds.): Internet-Based Intelligent Information Processing Systems, World Scientific,
Singapore 2003, pp.25-65
J. Paetz: Knowledge Based Approach to Septic Shock Patient Data Using
a Neural Network with Trapezoidal Activation Functions, Artificial Intelligence in Medicine, Special Issue: Knowledge-Based
Neurocomputing in Medicine, Vol. 28(2), 207-230, 2003
J. Paetz, K. Erz, B. Arlt, E. Hanisch: Die MEDAN-Datenbank: Patienten
mit septischem Schock abdominaler Ursache, Zentralblatt der Chirurgie 128(4), 298-303, 2003
B. Arlt: Ein Internet-basiertes Informations- und Alarmsystem für
den septischen Schock abdominaler Ursache, in: B.Arlt. et al., Telematik im Gesundheitswesen, S. 11-53, Mabuse-Verlag,
Frankfurt 2003, ISBN 3-935964-25-0
R. Brause: About Adaptive State Knowledge Extraction for
Septic Shock Mortality Prediction. IEEE 14th Int. Conf on Tools with Art. Intell. ICTAI-2002,
IEEE Press 2002, pp.3-8 (invited paper)
J. Paetz: Adaptive Regelgenerierung und ihre Verwendung zur Diagnose des septischen Schocks;
Dissertation, Institut für Informatik, J.W.G.-Universität, Frankfurt 2002.
J. Paetz, R. Brause: Rule Generation and Model Selection Used for Medical Diagnosis, Journal
of Intelligent and Fuzzy Systems, Special Issue, Vol. 12(1): Challenges for Future Intelligent Systems in Biomedicine,
IOS Press 2002, pp.69-78
J. Paetz, B. Arlt: A Neuro-Fuzzy Based Alarm
System for Septic Shock Patients with a Comparison to Medical Scores, Proc. of the 3rd Int. Symp. of Medical
Data Analysis (ISMDA 2002), Rome, Italy, A. Colosimo, A. Giuliani and P. Sirabella (Eds.), LNCS Vol. 2526, Springer-Verlag,
42-52, 2002
J. Paetz: A Note on Core Regions of Membership Functions,
Proc. of the 2nd Europ. Symp. on Intelligent Technologies, Hybrid Systems and their Implementation on Smart Adaptive
Systems (EUNITE 2002), Albufeira, Portugal, Wissenschaftsverlag Mainz, Abstract p. 43, article on CD-ROM pp. 167-173
R. Brause, F. Hamker, J. Paetz: Septic Shock Diagnosis by Neural
Networks and Rule Based Systems; in: Schmitt, M.; Teodorescu, H.-N.; Jain, A.; Jain, A.; Jain, S.; Jain, L.C.,
(Eds.): Computational Intelligence Processing in Medical Diagnosis, Springer Verlag, New York 2002, pp.323-356
J. Paetz: Selecting the Representative Neuro-Fuzzy Model, Proc. of the 1st Int. Conf. on Fuzzy
Systems and Knowledge Discovery (FSKD 2002), Singapore, 737-741, published also on CD-ROM (ISBN 981-04-7521-7)
J. Paetz: Intersection Based Generalization Rules for the Analysis of Symbolic Septic Shock
Patient Data, Proc. of the 2nd IEEE Int. Conf. on Data Mining (ICDM 2002), Maebashi City, Japan, IEEE Computer
Society Press, 673-676, 2002
J. Paetz, Durchschnittsbasierte Generalisierungsregeln Teil I: Grundlagen, Frankfurter Informatik-Berichte
Nr. 1/02, FB Biologie und Informatik, Institut für Informatik, J.W. Goethe-Universität Frankfurt am Main,
2002
J. Paetz, R. Brause: Durchschnittsbasierte Generalisierungsregeln Teil II: Analyse von Daten
septischer Schock-Patienten, Frankfurter Informatik-Berichte Nr. 2/02, FB Biologie und Informatik, Institut für
Informatik, J.W. Goethe-Universität Frankfurt am Main, 2002
R. Brause: Medical Analysis and Diagnosis by Neural Networks;
in: J. Crespo, V. Maojo, F. Martin, Medical Data Analysis, Springer Verlag Berlin Heidelberg 2001 pp.1-13 (invited
keynote paper)
J. Paetz, R. Brause: A
Frequent Patterns Tree Approach for Rule Generation with Categorical Septic Shock Patient Data; in: J. Crespo,
V. Maojo, F. Martin, Medical Data Analysis, Springer Verlag Berlin Heidelberg 2001, pp.207-212
J. Paetz: Metric Rule Generation with Septic Shock Patient Data, Proc. of the 1st IEEE Int.
Conf. on Data Mining (ICDM 2001), San Jose, CA, USA, IEEE Computer Society Press, 637-638, 2001
F. Hamker, J. Paetz, S. Thöne, R. Brause, E. Hanisch: Erkennung
kritischer Zustände von Patienten mit der Diagnose "Septischer Schock" mit einem RBF-Netz, Internal
Report 4/00, FB Informatik, Universität Frankfurt a.M., 2000
R. Brause, E. Hanisch, (Eds.) Medical
Data Analysis, Proc. First International Symposium, ISMDA 2000 Frankfurt, Germany, September 29-30, Lecture
Notes on Computer Science LNCS 1933, Springer Verlag, Heidelberg 2000, ISBN: 3-540-41089-9
R. Brause, B. Arlt, E. Tratar: MASCOT:
A Mechanism for Attention-based Scale-Invariant Object Recognition in Images, Internal Report 2/00, FB Informatik,
Universität Frankfurt a.M., 2000
J.
Paetz, F. Hamker, and S. Thöne: About the Analysis of Septic Shock Patient
Data, Proc. of the 1st Int. Symp. of Medical Data Analysis (ISMDA 2000), Frankfurt am Main, Germany, R. Brause,
E. Hanisch (Eds.), LNCS Vol. 1933, Springer-Verlag 2000, pp.130-137
R. Brause, F. Friedrich: A Neuro-Fuzzy Approach as Medical Interface,
European Symp. on Art. Neural Networks, ESANN 2000, D-Facto, Brussels 2000, pp. 201-206
R. Brause, B. Arlt, E. Tratar: Project
SEMACODE: A Scale-invariant Object Recognition System for Content-based Queries in Image Databases (1413KB)
Internal Report 11/99, FB Informatik, Universität Frankfurt a.M., 1999
R. Brause, T. Langsdorf, M. Hepp: Credit Card Fraud Detection by Adaptive Neural Data Mining, (267KB) Internal
Report 7/99, FB Informatik, Universität Frankfurt a.M., 1999
R. Brause, T. Langsdorf, M.Hepp: Neural Data Mining for
Credit Card Fraud Detection,(95kB) IEEE Int. Conf on Tools with Art. Intell. ICTAI-99,
IEEE Press 1999, pp.103-106
U. Pietruschka, R. Brause: Using growing RBF nets in Rubber
Industry Process Control (288KB) Neural computing & Applications, Vol 8 No. 2, Springer
Verlag 1999, pp.95-105
R. Brause: Revolutionieren Neuronale
Netze unsere Vorhersagefähigkeiten? (in German) (129kB) Zentralblatt für Chirurgie
124, 1999, S. 692-698 (invited paper)
B. Arlt, R. Brause: Image Encoding by Principal Independent Components
(58KB) Proc. Künstliche Intelligenz KI-98, Springer Verlag 1998
B. Arlt, R. Brause: The Principal Independent Components of
Images, (57KB) Int. Conf. Art. Neural Networks ICANN-98, Skövde, Sweden 1998
R. Brause, U. Pietruschka: Adaptive
Control in Rubber Industry, (117KB) Int. Journ. of Occ. Safety and Ergonomics (JOSE),
Ablex Publ. Corp., Vol.4 No.3, 1998, pp.253-269
R. Brause, M. Rippel: Noise Suppressing
Sensor Encoding and Neural Signal Orthonormalization (620KB) IEEE Transact. on Neural
Networks Vol.9, No.4, 1998, pp.613-628
B. Arlt, R. Brause: The Principal Independent Components of Images,(520KB) Internal Report 1/98,
FB Informatik, Universität Frankfurt a.M., 1998
E. Hanisch, M.Büssow, R. Brause, A. Encke: Individuelle Prognose bei kritisch kranken Patienten mit septischem Schock durch ein neuronales Netz? (in German) Der Chirurg, Vol.69, (1998), S.77-81
M.Büssow, S. Wade, R. Brause, E. Hanisch: Prognostische Beurteilung chirurgischer
Intensivpatienten mit einem Neuronalen Netz. Deutscher Chirurgenkongreß 1997, München
R. Brause: Implementing
the SCAN Language by Neural Networks; IEEE Int. Joint Symposia on Intelligence and Systems IJSIS-96,
Rockville 1996, pp.242-251 (130KB)
U.Pietruschka,
R. Brause: Using RBF nets in Rubber Industry Process Control; Int.
Conf. on Art. Neural Networks ICANN-96, Bochum 1996, pp.605-610, LNCS 1112, Springer Verlag 1996 (68KB)
Brause,
R.: Sensor Encoding using Lateral inhibited, Self-organized Cellular
Neural Networks; Neural Networks Vol.9, No.1, pp.99-120, 1996
Brause,R.: Self-organized Learning in Multi-Layer Networks, Int.
Journal on Art. Intell. Tools, Vol.4, No.4, pp.433-451, 1995 (120KB)
Brause,R.,
Glitsch, J.: A Spectral Multi-resolution
Image Encoding Network; IEEE Int. Conf. on Tools with Art. Intell. TAI-95 (38KB)
Brause,
R.: Self-organized Learning in Multi-Layer Networks, First Int. IEEE Syposium on Intelligence
in Neural and Biol. Systems, Herndon, VA, May 1995
N.G.
Bourbakis, R. Brause and C. Alexopoulos: Scan Image Compression/Encryption Hardware System;
Int. SPIE Conf. on Electronic Imaging, Feb. 1995, San Jose, CA
R.
Brause: Cascaded Vector Quantization by Non-linear PCA Network layers; IEEE Int. Conf.
on Tools with Art. Intell. TAI-94, Nov. 1994
Brause,
R.: A VLSI-Design of the Minimum Entropy Neuron; in: J.Delgado-Frias, W.Moore (Eds.): VLSI for Artificial Intelligence and Neural Networks, pp.53-60,
Plenum Press, New York 1994
Brause,
R.: Picture encoding using Self-Organized Cellular Neural Nets, Int. Conf. on Art. Neural
Nets ICANN '94, pp.1125-1128, Springer Verlag 1994
Brause,
R.: An Approximation Network with Maximal Transinformation, Int. Conf. on Art. Neural
Nets ICANN '94, pp.701-703, Springer Verlag 1994
Brause,
R.: The error-bounded Descriptional Complexity of Approximation Networks
Neural Networks, Vol.6, pp.177-187, 1993
Brause,
R.: A Symmetrical Lateral Inhibition Network for PCA and Feature Decorrelation, Proc.
ICANN-93, pp. 486-489, Springer Verlag 1993
Brause,
R.: Transform Coding by Lateral Inhibited Neural Nets, IEEE Int. Conf. on Tools with
Art. Intelligence TAI-93, pp.14-21, 1993
Brause,
R.: The Minimum Entropy Network; Interner Bericht 1/92 des Fachbereichs Informatik der
J.W. Goethe Universität, Frankfurt a.M., 1992, und in:IEEE Proc. Int. Conf. on Tools with Artificial Intelligence
TAI-92, pp.85-92, 1992
Brause,
R.:The Minimum Entropy Neuron- a Basic Building Block for Clustering Transformations,
in: Art. Neural Networks 2; I.Aleksander, J.Taylor (eds.), Elsevier Sc.Publ., Amsterdam 1992
Simantzik,
W. und Brause, R.: Classification and Reproduction of Time Sequences without Preprocessing,
in: Art. Neural Networks 2; I.Aleksander, J.Taylor (eds.), Elsevier Sc.Publ., Amsterdam 1992
Brause,
R.: Determination of Neural Network Parameters by Information Theory, Int. Journal on
Artificial Intelligence Tools, Vol.1,No.2, World Sc. Publ., Singapure 1992
Brause,
R.: Optimal Information Distribution and Performance in Neighbourhood-conserving Maps
for Robot Control, Int. Journal of Computers and Artificial Intelligence, Vol 11, No. 2,1992
Brause,
R.: Approximator Networks and the Principle
of Optimal Information Distribution; Interner Bericht 1/91 des Fachbereichs Informatik
der J.W. Goethe Universität, Frankfurt a.M., 1991,
und in: Art. Neural Networks 1; T.Kohonen et.al.(eds.), Elsevier Sc.Publ., Amsterdam 1991
Brause,
R.: The Determination of Neural Network Parameters by Information Theory, IEEE Proc.
Int. Conf. on Tools for Artificial Intelligence TAI-91, San Jose 1991
