DOI: 10.1007/3-540-45428-4_29. Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach

Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach

10.1007/3-540-45428-4_29

Crossref book-chapter

Springer Berlin Heidelberg

Lecture Notes in Computer Science (297)

Bibliography

Benfenati, E., Mazzatorta, P., Neagu, D., & Gini, G. (2002). Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach. Multiple Classifier Systems, 293â303.

Authors 4

Emilio Benfenati (first)
Paolo Mazzatorta (additional)
Daniel Neagu (additional)
Giuseppina Gini (additional)

References 18 Referenced 12

Benfenati, E., Pelagatti, S., Grasso, P., Gini, G.: COMET: the approach of a project in evaluating toxicity. Gini, G. C.; Katritzky, A. R. (eds.): Predictive Toxicology of Chemicals: Experiences and Impact of AI Tools. AAAI 1999 Spring Symposium Series. AAAI Press, Menlo Park, CA (1999) 40–43 / Predictive Toxicology of Chemicals: Experiences and Impact of AI Tools / AAAI 1999 Spring Symposium Series by E. Benfenati (1999)
Benfenati, E., Piclin, N., Roncaglioni, A., Varì, M.R.: Factors Influencing Predictive Models For Toxicology. SAR and QSAR in environmental research, 12 (2001) 593–603 (10.1080/10629360108039836) / SAR and QSAR in environmental research by E. Benfenati (2001)
Bishop, C.M.: Neural networks for pattern recognition. Clarendon Press, Oxford (1995) / Neural networks for pattern recognition by C.M. Bishop (1995)
Chen, K., Chi, H.: A method of combining multiple probabilistic classifiers through soft competition on different feature sets. Neurocomputing 20 (1998) 227–252 (10.1016/S0925-2312(98)00019-8) / Neurocomputing by K. Chen (1998)
Duin, R.P.W., Tax, D.M.J.: Experiments with Classifier Combining Rules. Lecture Notes in Computer Science, Vol. 1857. Springer-Verlag, Berlin (2000) 16–29 (10.1007/3-540-45014-9_2) / Experiments with Classifier Combining Rules / Lect Notes Comput Sci by R.P.W. Duin (2000)
Enbutsu, I., Baba, K., Hara, N.: Fuzzy Rule Extraction from a Multilayered Network. Procs. of IJCNN’91, Seattle (1991) 461–465 (10.1109/IJCNN.1991.155377)
Gini, G., Benfenati, E., Boley, D.: Clustering and Classification Techniques to Assess Aquatic Toxicity. Procs. of the Fourth Int’l Conf. KES2000, Brighton, UK, Vol. 1 (2000) 166–172 / Procs. of the Fourth Int’l Conf. KES2000 by G. Gini (2000)
Gini, G., Lorenzini, M., Benfenati, E., Brambilla, R., Malvé, L.: Mixing a Symbolic and a Subsymbolic Expert to Improve Carcinogenicity Prediction of Aromatic Compounds. Kittler, J., Roli, F. (eds.): Multiple Classifier Systems. Springler-Verlag, Berlin (2001) 126–135 (10.1007/3-540-48219-9_13) / Multiple Classifier Systems by G. Gini (2001)
Helma, C., Gottmann, E., Kramer, S.: Knowledge discovery and data mining in toxicology. Statistical methods in medical research, 9 (2000) 131–135 (10.1191/096228000701555190) / Statistical methods in medical research by C. Helma (2000)
Ho, T., Hull, J., Srihari, S.: Decision combination in multiple classifier systems. IEEE Trans. Pattern Anal. Machine Intelligence 16/1 (1994) 66–75 (10.1109/34.273716) / IEEE Trans. Pattern Anal. Machine Intelligence by T. Ho (1994)
Jacobs, R.A.: Methods for combining experts’ probability assessments. Neur. Comp. 7/5(1995)867–888 (10.1162/neco.1995.7.5.867) / Neur. Comp. by R.A. Jacobs (1995)
Jagielska, I., Matthews, C., Whitfort, T.: An investigation into the application of ANN, FL, GA, and rough sets to automated knowledge acquisition for classification problems. Neurocomp, 24(1999)37–54 (10.1016/S0925-2312(98)00090-3) / Neurocomp by I. Jagielska (1999)
Kosko, B.: Neural Networks and Fuzzy System. Prentice-Hall, Englewood Cliffs (1992)
Lin, C.T., George Lee, C.S.: Neural-Network Based Fuzzy Logic Control and Decision System. IEEE Transactions on Computers, 40/12 (1991) 1320–1336 (10.1109/12.106218) / IEEE Transactions on Computers by C.T. Lin (1991)
Nauck, D., Kruse, R.: NEFCLASS-X: A Neuro-Fuzzy Tool to Build Readable Fuzzy Classifiers. BT Tech. J. 16/3 (1998) 180–192 (10.1023/A:1009610822227) / BT Tech. J. by D. Nauck (1998)
Neagu, C.-D., Avouris, N.M., Kalapanidas, E., Palade, V.: Neural and Neuro-fuzzy Integration in a Knowledge-based System for Air Quality Prediction. App Intell. J. (2001 accepted)
Palade, V., Neagu, C.-D., Patton, R.J.: Interpretation of Trained Neural Networks by Rule Extraction, Procs. of Int’l Conf. 7th Fuzzy Days in Dortmund (2001) 152–161
Rumelhart, D.E., McClelland, J.L.: Parallel Distributed Processing, Explanations in the Microstructure of Cognition. MIT Press (1986) (10.7551/mitpress/5236.001.0001)

Dates

Type	When
Created	18 years, 3 months ago (May 19, 2007, 12:50 p.m.)
Deposited	5 years, 4 months ago (April 21, 2020, 9:38 p.m.)
Indexed	11 months, 3 weeks ago (Sept. 9, 2024, 12:15 p.m.)
Issued	23 years, 8 months ago (Jan. 1, 2002)
Published	23 years, 8 months ago (Jan. 1, 2002)
Published Online	23 years, 2 months ago (June 21, 2002)
Published Print	23 years, 8 months ago (Jan. 1, 2002)

Funders 0

None

BibTeX

@inbook{Benfenati_2002, title={Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach}, ISBN={9783540454281}, ISSN={0302-9743}, url={http://dx.doi.org/10.1007/3-540-45428-4_29}, DOI={10.1007/3-540-45428-4_29}, booktitle={Multiple Classifier Systems}, publisher={Springer Berlin Heidelberg}, author={Benfenati, Emilio and Mazzatorta, Paolo and Neagu, Daniel and Gini, Giuseppina}, year={2002}, pages={293–303} }

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