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Staff - Dr Daniel C. Neagu

Dr Daniel C. Neagu
SELECTED PUBLICATIONS

Published Books
  • Neagu D. and Neagu D. (01): "Introduction to office and design software packages", Matrix Rom, Bucharest ISBN: 973-685-324-1.

  • Neagu D. and Neagu D. (01): "Hypermedia", Matrix Rom, Bucharest ISBN: 973-685-328-4.

  • Neagu D. and Bumbaru S. (01): "Multimedia Systems. Computer Graphics", Matrix Rom, Bucharest ISBN: 973-685-315-2.

  • Neagu D. and Palade V. (01): "Hybrid Intelligent Systems (2 volumes: vol. 1 - "Hybrid Intelligent Systems: Transformation Systems", authors: V. Palade & C.D. Neagu, and vol. 2 - "Hybrid Intelligent Systems: Combination Systems", authors: C.D. Neagu & V. Palade)", Matrix Rom, Bucharest.

Chapters in Books
  • Neagu D. et al (01): "Chapter 2. Databases for pesticide ecotoxicity, Chapter 4. Algorithms for (Q)SAR models building, Chapter 5. Hybrid systems, Chapter 9. Use of the DEMETRA models", Quantitative Structure-Activity Relationship (QSAR) for Pesticide Regulatory Purposes, E. Benfenati (ed.), Elsevier ISBN: 978-0-444-52710-3.
    For more information see: http://www.elsevier.com/wps/find/bookdescription.cws_home/710506/description#toc

  • Neagu D., Craciun M., Chaudhry Q. and Price N. (01): "Chapter 10. Knowledge Representation for Versatile Hybrid Intelligent Processing Applied in Predictive Toxicology", Life Science Data Mining, Stephen Wong, Chung Sheng Li (ed.), World Science Publishers ISBN: 978-981-270-065-0, pp. 213-238.
    For more information see: http://www.worldscibooks.com/lifesci/6268.html

  • Craciun M. V, Neagu D., Craciun C. A and Smiesko M. (01): "A Study of Supervised and Unsupervised Machine Learning Methodologies for Predictive Toxicology ", Intelligent Systems in Medicine , H.N. Teodorescu (ed.), Performantica, Iasi, Romania, pp. 61-69.

  • Neagu D. and Gini G. (01): "Neuro-Fuzzy Knowledge Integration applied in Toxicity Prediction", Innovations In Knowledge Engineering, R. Jain, A. Abraham, C.Faucher, B.J. van der Zwaag (ed.), Advanced Knowledge International, Adelaide Australia ISBN: 0-9751004-0-8, pp. 311-342.

Journal Publications
  • Neagu D., Guo G., Trundle P.R. and Cronin M.T. M.T.(01): "A Comparative Study of Machine Learning Algorithms Applied to Predictive Toxicology Data Mining" Journal of Alternatives to Laboratory Animals ATLA, FRAME, Nottingham, UK, 35 (1): 25-32.
    For more information see: http://www.frame.org.uk/atla_issue.php?iss_id=79

  • Neagu D. and Palade V. (01): "A Neuro-Fuzzy Approach for Functional Genomics Data Interpretation and Analysis" Journal of Neural Computing and Applications, Springer-Verlag, London, Computer Science, 12 (3-4): 153-159.
    For more information see: http://www.springerlink.com/content/0941-0643

  • Neagu C.D., Avouris N.M., Kalapanidas E. and Palade V. V.(20): "Neurosymbolic Integration in a Knowledge-based System for Air Quality Prediction" Applied Intelligence (The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies), Kluwer Academic Publishers, 17 (2): 141-169.
    For more information see: http://www.kluweronline.com/issn/0924-669X

  • Neagu C.D., Georgescu L.P. and Popescu F. (01): "Prediction of the Toxicity of Some Aromatic Compounds Using a Neuro-Fuzzy Method" Journal of Environmental Engineering and Management.

  • Neagu C.D., Georgescu L.P., Palade V. and Neagu D. (01): "Analysis of a neuro-fuzzy approach of air pollution: building a case study" The Annals of University "Dunarea de Jos" of Galati, Fascicle III: Electrotechnics, Electronics, Automatic Control, Informatics 86-91.
    For more information see: http://www.cs.ugal.ro/~f3anugal/index.html

  • Neagu C.D. and Bumbaru S. (01): "An Interactive Fuzzy Operator Used To Interpret Connectionist Knowledge" Journal of Control Engineering and Applied Informatics, Romanian Society of Control Engineering and Tech, Bucharest, 3 (3): 53-59.

  • Neagu C.D. and Palade V. (10): "An interactive fuzzy operator used in rule extraction from neural networks" Neural Network World: the International Journal on Neural and Mass-Parallel Computing and Information Systems, Academy of Sciences of the Czech Republic, Prague, 10 (4): 675-684.
    For more information see: http://www.vsppub.com/journals/jn-NeuNetWor.html

Conference Contributions
  • Malazizi L., Neagu D. and Chaudhry Q. (16): "Improving Imbalanced Multidimensional Dataset Learner Performance with Artificial Data Generation: Density-based Class-Boost Algorithm", 8th Industrial Conference on Data Mining ICDM2008, Springer LNCS, Leipzig, Germany.
    For more information see: http://www.data-mining-forum.de/program.php

  • Zhao C, Guo G., Huang X. and Neagu D. (14): "Data Reduction and Classification Based on Multiple Classifier Behavior", The 4th International Conference on Data Mining DMIN'08, IEEE Computer Society, Las Vegas, USA.
    For more information see: http://www.dmin-2008.com/programme.htm

  • Hatem M., Neagu D. and Ramadan H. (13): "RDF Repository of Experts based on Context Oriented Automatic Annotation Framework", Second Asia International Conference on Modelling & Simulation, Asia Modelling Symposium AMS2008 (David Al-Dabass ed.), IEEE Computer Society, Kuala Lumpur, Malaysia.
    For more information see: http://www.ams2008.org.uk/

  • Azzeh M., Neagu D. and Cowling P. (12): "Improving Analogy Software Effort Estimation using Fuzzy Feature Subset Selection Algorithm", 4th International Workshop on Predictor Models in Software Engineering PROMISE08(part of the 30th International Conference on Software Engineering ICSE08), Leipzig, Germany.
    For more information see: http://promisedata.org/?cat=131

  • Azzeh M., Neagu D. and Cowling P. (10): "Software Project Similarity Measurement Based on Fuzzy C-means", International Conference on Software Process ICSP2008 (D.M. Raffo ed.) Springer-Verlag LNCS, Leipzig, Germany.
    For more information see: http://www.icsp-conferences.org/icsp2008/program.html

  • Lan Y. and Neagu D. (14): "A New Time Series Prediction Algorithm Based on Moving Average of nth-order Difference", 6th Int'l Conf. on Machine Learning and Applications ICMLA 2007 (M. Arif-Wani, M.M. Kantardzic, T. Li, L. Kurgan, J. Ye, M, Ogihara, S. Sagiroglu, X.W. Chen, L. Peterson, K. Hafeez eds.), IEEE Computer Society Press, pp. 248-253, ISBN 0-7695-3069-9, Cincinnati, Ohio, USA.

  • Trundle P.R., Neagu D., Craciun M. and Chaudhry Q. (12): "Development of Multi-output Neural Networks for Data Integration A Case Study", 2nd Int'l Workshop on Hybrid Artificial Intelligence Systems (HAIS 07) E Corchado, JM Corchado, A Abraham (Eds.) Innovations in Hybrid Intelligent Systems, Springer Series: Advances in Soft Computing, Vol. 44/2008, pp. 80-87, ISBN: 978-3-540-74971-4, Salamanca, Spain.
    For more information see: http://www.springer.com/east/home/engineering?SGWID=5-122-75-173759621-0

  • Huang Y., Guo G. and Neagu D. (29): "A Partial Coverage Based Approach to Classification", 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, IEEE Computer Society 2007, pp. 275-280, Patras, Greece.
    For more information see: http://www.informatik.uni-trier.de/~ley/db/conf/ictai/ictai2007-1.html

  • Huang X., Guo G., Neagu D. and Huang T. (24): "Weighted kNNModel-based Data Reduction and Classification", Procs. of the 4th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'07), IEEE Computer Society Press, pp. 689-695, ISBN: 978-0-7695-2874-8, Haikou, China.

  • Lan Y. and Neagu D. (06): "Applications of the Moving Average of nth-order Difference Algorithm for Time Series Prediction", 3rd Int'l Conf. on Advanced Data Mining and Applications ADMA2007, (Reda Alhajj, Hong Gao, Xue Li, Osmar Zaane, Jianzhong Li eds.), Springer Verlag LNCS series 4632, pp. 264-275, ISBN 978-3-540-73870-1, Harbin, China.
    For more information see: http://www.springerlink.com/content/a1726n7224398830/

  • Trundle P.R., Neagu D. and Chaudhry Q. (18): "Multi-source Data Modelling: Integrating Related Data to Improve Model Performance", Machine Learning and Data Mining in Pattern Recognition, 5th International Conference MLDM 2007, Leipzig, Germany, July 18-20, 2007. Proceedings, Springer LNCS 4571, pp. 32-46, ISSN 0302-9743, Leipzig, Germany.
    For more information see: http://springerlink.com/content/w304x624tg910h22/?p=62bde7f4954140549a48d2be2ef1fea6&pi=39

  • Neagu D. and Guo G. (01): "A Data-Driven Approach for Improved Effective Classification in Predictive Toxicology", IEEE International Conference on Computational Cybernetics ICCC 2006 (B. Patkai, I.J. Rudas, eds), 193-198, IEEE ISBN 1424400716, Tallinn, Estonia.

  • Neagu D, Guo G. and Wang S. (15): "An Effective Combination based on Class-Wise Expertise of Diverse Classifiers for Predictive Toxicology Data Mining", the 2nd International Conference on Advanced Data Mining and Applications ADMA 2006, (X. Li, O. Zaiane, Z. Li eds.), 165-172, Springer-Verlag Lecture Notes in Artificial Intelligence LNAI 4093, ISBN 3540370250, Xi'An, China.

  • Guo G., Neagu D., Huang X. and Bi Y. (01): "An Effective Combination of Multiple Classifiers for Toxicity Prediction", the 3rd International Conference on Fuzzy Systems and Knowledge Discovery FSKD'06, L. Wang et al. eds., Springer-Verlag Lecture Notes in Artificial Intelligence LNAI 4223, 481-490, Xi'an, China.

  • Guo G. and Neagu D. (12): "Similarity-based Classifier Combination for Decision Making", 2005 IEEE International Conference on Systems, Man & Cybernetics IEEE SMC'2005, 10-12 October 2005, Waikoloa, Hawaii, USA, OmniPress, 176-181, Waikoloa Hilton Village, Hawaii, USA.

  • Neagu D., Zhang S. and Balescu C. (10): "A Multi-Label Voting Algorithm for Neuro-Fuzzy Classifiers Ensembles applied for Visual Arts Data Ming", 5th International Conference on Intelligent Systems Design and Applications ISDA2005, 8-10 Sept. 2005, IEEE Computer Society Press, 245-250., Wroclaw, Poland.

  • Neagu D., Craciun M.V., Stroia S.A. and Bumbaru S. (10): "Hybrid Intelligent Systems for Predictive Toxicology - a Distributed Approach", 5th International Conference on Intelligent Systems Design and Applications ISDA2005, 8-10 Sept. 2005, IEEE Computer Society Press, 26-31, Wroclaw, Poland.

  • Zhang S., Neagu D. and Balescu C. (29): "Refinement of Clustering Solutions using a Multi-Label Voting Algorithm for Neuro-Fuzzy Ensembles", First International Conference on Natural Computation ICNC2005, 27-29 August 2005, Springer-Verlag Lecture Notes in Computer Science LNCS3612, 1300-1303, Changsha, China.

  • Guo G., Neagu D. and Cronin M.T. (29): "A Study on Feature Selection for Toxicity Prediction", The second International Conference on Fuzzy Systems and Knowledge Discovery FSKD2005, 27-29 August 2005, Springer-Verlag Lecture Notes in Artificial Intelligence LNAI 3614, 31-34, Changsha, China.

  • Shhab A., Guo G. and Neagu D. (05): "A Study on Applications of Machine Learning Techniques in Data Mining", 22nd BNCOD, workshop on Data Mining and Knowledge Discovery in Databases, Sunderland, UK.

  • Hatem M.S., Ramadan H.A. and Neagu D. (23): "e-Learning based on Context Oriented Semantic Web", First International Conference on E-Business and E-learning EBEL05, Amman, Jordan.

  • Neagu D., Craciun M. and Chaudhry Q. (16): "Knowledge Specification for Versatile Hybrid Intelligent Systems", Procs of the 5th International Conference on Recent Advances in Soft Computing RASC 2004, 16-18 December 2004, ISBN 1-84233-110-8, 219-224, Nottingham, UK.

  • Neagu D., Craciun M., Chaudhry Q. and Price N. (08): "Knowledge Representation for Versatile Hybrid Intelligent Processing Applied in Predictive Toxicology", Procs of the Workshop IEEE ICDM2004 - Life Sciences Data Mining, 87-94, Brighton, UK.

  • Craciun M. V, Neagu D., Stoica A., Avouris N. and Craciun C. A (24): "Web Laboratory for Using Intelligent Mining Tools in Predictive Toxicology, ", Proceedings of The 12th International Symposium on Modeling, Simulation and Systems Identification SIMSIS 12, September 24-25, 2004, Eds. S. Caraman, A. Bratcu, L. Beldiman, Editura Fundaţiei Universitare Dunărea de Jos Galaţi Rom, Galati, Romania.

  • Neagu D. (16): "A Study of Neural and Fuzzy Parameters for Explicit and Implicit Knowledge-based Systems", Procs of ICINCO-ANNs 2004, ISBN 972-8865-13-9, 51-62, Setubal, Portugal.

  • Craciun M. V, Neagu D., Craciun C. A and Smiesko M. (21): "A Study of Supervised and Unsupervised Machine Learning Methodologies for Predictive Toxicology", Procs of Third European Conference on Intelligent Systems and Technologies ECIT 2004, Eds. H.N. Teodorescu, E. Sofron, I. Bogdan, ISBN 973-7994-78-7, Ed. Performantica, Iaşi, ROMANIA.

  • Kalapanidas E., Avouris N.M., Craciun M.V. and Neagu D. (21): "Machine learning algorithms: a study on noise sensitivity, ", Proceedings of the 1st Balkan Conference on Informatics BCI 2003 (Y. Manolopoulos, P. Spirakis eds.), 356-365, 21-23 November 2003, ISBN 960-287-045-1, Springer-Verlag., Thessaloniki, Greece.

  • Craciun M.V. and Neagu D. (03): "Using Unsupervised and Supervised Artificial Neural Networks to study Aquatic Toxicity", Proceedings of the 7th International Conference on Knowledge-Based Intelligent Information & Engineering Systems KES2003 (V.Palade, L. Jain, B. Howlett eds.), 3-5 Sept. 2003, 911-918, ISBN 3-540-40804-5, LNAI Springer-Verlag, Oxford, UK.

  • Neagu D., Georgescu L.P. and Antemir A. (13): "Combining experts opinions for toxicity prediction", Procs. of the International Conference on Materials Science and Engineering BRAMAT2003, 13-14 March 2003, 406-411, ISBN 973-635-126-2, Brasov, Romania.

  • Georgescu L.P., Neagu C.D. and Popescu F. (26): "Compliance Costs for the Approximation of EU Legislation in Romanian Steel Industry", Proceedings of the International Conference of Environmental Engineering and Management ICEEM01, 26-28 September 2002, Iasi, Romania.

  • Neagu C.D. (18): "Toxicity prediction using assemblies of hybrid fuzzy neural models", Proceedings of the 6th International Conference on Knowledge-Based Intelligent Information & Engineering Systems KES2002, IOS Press Amsterdam, 1093-1098, Podere d'Ombriano, Crema, Italy.

  • Palade V. and Neagu C.D. (18): "Neuro-fuzzy based analysis of gene expression data", Proceedings of the 6th International Conference on Knowledge-Based Intelligent Information & Engineering Systems KES2002, IOS Press Amsterdam, 1088-1092, Podere d'Ombriano, Crema, Italy.

  • Neagu C.D., Aptula A.O. and Gini G. (12): "Neural and Neuro-Fuzzy Models of Toxic Action of Phenols", Proceedings of the IEEE International Symposium Intelligent Systems: Methodology, Models, Applications in Emerging Technologies IS2002, 10-12 Sept.2002, 283-288, Varna, Bulgaria.

  • Benfenati E., Mazzatorta P., Neagu C.D. and Gini G. (24): "Combining classifiers of pesticides toxicity through a neuro-fuzzy approach", Proceedings of 3rd International Workshop on Multiple Classifier Systems MCS2002, 24-26 June 2002, Lecture Notes in Computer Science, Springer Verlag Berlin Heidelberg, LNCS 2364, F. Roli and J. Kittler Eds., ISBN 3-540-43818-1, 293-303, Cagliari, Italy.
    For more information see: http://link.springer.de/link/service/series/0558/tocs/t2364.htm

  • Neagu D. and Palade V. (14): "Modular neuro-fuzzy networks: an overview of explicit and implicit knowledge integration", Procs. of the 15th International FLAIRS-02 Conference, Special Track on Integrated Intelligent Systems, 14-16 May 2002, AAAI Press, 277-281, ISBN 1-57735-141-X., Pensacola, Florida, USA.

  • Palade V., Neagu C.D. and Patton R.J. (01): "Interpretation of trained neural networks by rule extraction", International Conference, 7th Fuzzy Days Dortmund, Germany, October Proceedings of the International Conference 7th Fuzzy Days in Dortmund, October 1-3, 2001, in Lecture Notes in Computer Science LNCS 2206 - Computional Intelligence: Theory and Appl, Dortmund, Germany.
    For more information see: http://link.springer.de/link/service/series/0558/tocs/t2206.htm

  • Neagu C.D., Kalapanidas E., Avouris N. and Bumbaru S. (20): "Air Quality Prediction Using Neuro-Fuzzy Tools", Proceedings volume from the 9th IFAC/IFORS/IMACS/IFIP Symposium, 18-20 July 2001, in: Large Scale Systems: Theory and Applications, F.G. Filip, I. Dumitrache, S. Iliescu (ed.), Elsevier Science ISBN: 0-08-043691-9, 459-465, Bucharest, Romania.
    For more information see: http://www.elsevier.com/locate/isbn/0080436919
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Content last modified on: March 28 2008
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