OXFORD UNIVERSITY COMPUTING LABORATORY

Vasile Palade: Publications

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[1]

Noise Reduction in a Non-Homogenous Ground Penetrating Radar Problem by Multiobjective Neural Networks

L. Travassos, D. A. G. Vieira, A. Nicolas, V. Palade

IEEE Transaction in Magnetics, 2008.

To appear in 2008.

[2]

Machine Learning and Genetic Regulatory Networks: A Review and a Roadmap

Christopher Fogelberg, Vasile Palade

No. RR-08-04, Technical Report, Oxford University Computing Laboratory. 2008.

[3]

GREENSIM: A Genetic Regulatory Network Simulator

Christopher Fogelberg, Vasile Palade

No. RR-08-07, Technical Report, Oxford University Computing Laboratory. May 2008.

[4]

Adaptive Web Sites: A Knowledge Extraction from Web Data Approach

J. D. Velasquez, V. Palade

2008.

[5]

The Q-norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem

D.A.G. Vieira et al.

IEEE Trans. on Neural Networks, Vol. 19, No. 8, pages 1415-1431. 2008.

[6]

The Minimum Gradient Complexity Control Applied to Sensitivity Extraction of Electromagnetic Devices

D.A.G. Vieira et al.

IEEE Transaction in Magnetics, Vol. 44, pages 1114-1117. 2008.

[7]

Advances in Evolutionary Computing for System Design

L. Jain, V. Palade and D. Srinivasan, editors

Springer. May 2007.

[8]

A Comprehensive Fuzzy-Based Framework for Cancer Microarray Data Gene Expression Analysis

Z. Wang, V. Palade

In Proceedings of the IEEE 7th International Conference on BioInformatics and BioEngineering October 2007.

[9]

Building a Knowledge Base for Implementing a Web-based Computerized Recommendation System

J.D. Velasquez, V. Palade

International Journal of Artificial Intelligence Tools, Vol. 16, No. 5, pages 793—828. 2007.

[10]

Using Classifier Fusion Techniques for Protein Secondary Structure Prediction

M. Kazemian et al.

International Journal of Computational Intelligence in Bioinformatics and Systems Biology, 2007.

To appear.

[11]

A Knowledge Base for the Maintenance of Knowledge Extracted from Web Data

J.D. Velasquez, V. Palade

Knowledge-Based Systems Journal, Vol. 20, No. 3, pages 238—248. 2007.

[12]

Computational Intelligence in Fault Diagnosis

V. Palade, C.D. Bocaniala and L. Jain, editors

Springer. August 2006.

[13]

Genetic Algorithm Convergence Analysis Using a Unified Representation of Genes and the Hamming Distance

R. Belea, S. Caraman and V. Palade

Int. Journal of Knowledge-Based and Intelligent Engineering Systems, Vol. 10, No. 1, pages 29—40. 2006.

[14]

Testing online navigation recommendations in a web site

J. Velasquez, V. Palade

In Proc. of KES2006 - The 10th Int. Conf. on Knowledge Based Intelligent Information & Engineering Systems LNAI - Springer, 2006.

[15]

Multi-Classifier Systems: Review and a Roadmap for Developers

R. Ranawana, V. Palade

Int. Journal of Hybrid Intelligent Systems, Vol. 3, No. 2, pages 35—61. 2006.

[16]

Neuro-Fuzzy Ensemble Approach for Microarray Cancer Gene Expression Data Analysis

Z. Wang, V. Palade and Y. Xu

In Proceedings of the 2006 International Symposium on Evolving Fuzzy Systems IEEE, 2006.

[17]

Optimized Precision - A New Measure for Classifier Performance Evaluation

R. Ranawana, V. Palade

In Proc. of the IEEE World Congress on Computational Intelligence 2006.

[18]

Computational Intelligence: Engineering of Hybrid Systems

M. Negoita, D. Neagu and V. Palade

Springer-Verlag. 2005.

[19]

Human-like fault diagnosis using a neural network implementation of plausibility and relevance

V. Ariton, V. Palade

Neural Computing and Applications, Vol. 14, No. 2, pages 149—165. 2005.

[20]

A Neural Network Based Multi-Classifier System for Gene Identification in DNA Sequences

R. Ranawana, V. Palade

Neural Computing and Applications, Vol. 14, No. 2, pages 122—131. 2005.

[21]

Fuzzy-Based Refinement of the Fault Diagnosis Task in Industrial Devices

C. D. Bocaniala, J. Sa da Costa and V. Palade

Journal of Intelligent Manufacturing, Vol. 16, No. 6, pages 599—614. 2005.

[22]

Automatic Fuzzy Rule Base Generation for On-line Handwritten Alphanumeric Character Recognition

R. Ranawana, V. Palade and G.E.M.D.C. Bandara

Int. Journal of Knowledge-Based and Intelligent Engineering Systems, Vol. 9, No. 3, pages 327—340. 2005.

[23]

Experimental Validation of a Novel Fuzzy Classifier Performance

C.D. Bocaniala, V. Palade and S. Bumbaru

Studies in Informatics and Control, Vol. 14, No. 3, 2005.

[24]

MultinNNProm: A multi-classifier system for finding genes

R. Ranawana, V. Palade

In Proc. of 9th Online World Conference on Soft Computing in Industrial Applications — WSC9 Springer-Verlag, 2004.

[25]

Refinement of the diagnosis process performed with a fuzzy classifier

C.D. Bocaniala, J. Sa da Costa and V. Palade

In Proc. of 8th Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems 2004.

[26]

An efficient fuzzy method for handwritten character recognition

R. Ranawana, V. Palade and G.E.M.D.C. Bandara

In Proc. of 8th Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems 2004.

[27]

Diagnosing the population state in a genetic algorithm using Hamming distance

R. Belea, S. Caraman and V. Palade

In Proc. of 8th Int. Conf. on Knowledge-Based Intelligent Information & Engineering Systems 2004.

[28]

Blind Separation of Mixed Kurtosis Signed Signals using Partial Observations and Low Complexity Activation Functions

K. Chinnasarn, C. Lursinsap and V. Palade

Int. Journal of Computational Intelligence and Applications, Vol. 4, No. 2, pages 207—223. June 2004.

[29]

A Novel Fuzzy Classification Solution for Fault Diagnosis

C. D. Bocaniala, J. Sa da Costa and V. Palade

International Journal of Fuzzy and Intelligent Systems, Vol. 15, No. 3--4, pages 195—206. 2004.

[30]

Neural Network Based Optimal Control of a Biosynthesis Process

G. Fetecau, V. Palade and V. Nicolau

Int. Journal of Knowledge-Based and Intelligent Engineering Systems, Vol. 8, No. 2, pages 107—116. 2004.

[31]

Proceedings of KES 2003- The 7th Int. Conf. on Knowledge-Based Intelligent Information and Engineering Systems

V. Palade, R.J. Howlett and L. Jain, editors

Springer-Verlag. 2003.

[32]

Low complexity functions for stationary independent component mixtures

K. Chinnasarn, C. Lursinsap and V. Palade

In Proc. of the 7th Int. Conf. on Knowledge-Based Intelligent Engineering and Information Systems — KES2003 2003.

[33]

Sequential Source Separation of Mixed Kurtosis Sign Sources

K. Chinnasarn, C. Lursinsap and V. Palade

In Proc. of the 3rd Int. Symposium on Communications and Information Technologies — ISCIT2003 2003.

[34]

A Neuro-Fuzzy Approach for Functional Genomics Data Interpretation and Analysis

D. Neagu, V. Palade

Neural Computing and Applications, No. 12, pages 153—159. 2003.

[35]

Neuro-fuzzy based fault diagnosis applied to an electro-pneumatic valve

F. J. Uppal, R. J. Patton and V. Palade

In Proc. of the 15th IFAC World Congress pages 2483—2488. 2002.

[36]

Modular neuro-fuzzy networks used in explicit and implicit knowledge integration

D. Neagu, V. Palade

In Proc. of 15th International Conference of Florida Artificial Intelligence Society — FLAIRS2002 pages 277—281. 2002.

[37]

Fault diagnosis of an industrial gas turbine using neuro-fuzzy methods

V. Palade et al.

In Proc. of the 15th IFAC World Congress pages 2477-2482. 2002.

[38]

Neuro-fuzzy based analysis of gene expression data

V. Palade, D. Neagu

In Proc. of the 6th International Conference on Knowledge-Based Intelligent Information & Engineering Systems — KES2002 pages 1088—1092. 2002.

[39]

Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction

D. Neagu et al.

Applied Intelligence, No. 17(2), pages 141—169. 2002.

[40]

Hybrid Intelligent Systems

V. Palade, D. Neagu

Matrix ROM Publishers. 2001.

in 2 volumes: vol.1 — Hybrid Intelligent Systems: Transformation Systems, authors: V. Palade & D. Neagu, and vol.2 - Hybrid Intelligent Systems: Combination Systems, authors: D. Neagu & V. Palade.

[41]

Analysis of a neuro-fuzzy aproach of air pollution: building a case study

D.C. Neagu et al.

In Proc. of the 11th International Symposium on Modelling, Simulation and Systems Identification - SIMSIS11 pages 160—165. 2001.

[42]

Interpretation of trained neural networks by rule extraction

V. Palade, D. Neagu and R. J. Patton

In Bernd Reusch, editor, Computional Intelligence: Theory and Applications No. 2206, pages 152—161. Springer Verlag, 2001.

[43]

A neuro-fuzzy aproach to photochemical pollution prediction

D. Neagu, V. Palade

In Proc. of the 10th Int. Conference on Systems Theory, Automation, Robotics and Informatics — SINTES10 pages A/128—A/131. 2000.

[44]

A procedure of fault detection for driving systems using self-organizing neural networks

G. Puscasu, V. Palade and A. Stancu

In Proc. of the 10th IEEE Mediterranean Electrotechnical and Electronical International Conference — MELECON2000 pages 98—101. 2000.

[45]

An interactive fuzzy operator used in rule extraction from neural networks

D. Neagu, V. Palade

In Proceedings of the Int. Conference of Neural Network World — NNW2000 pages 50—51. 2000.

an abstract, the complete paper was published in the Neural Network World Journal.

[46]

Using fuzzy neural networks for process modelling

V. Palade, D. Neagu and G. Puscasu

In Proc. of the 10th Int. Conference on Systems Theory, Automation, Robotics and Informatics - SINTES10 pages 264—268. 2000.

[47]

An aproach of DC driving system neural control by inverting forward model

V. Palade, G. Puscasu and D. Neagu

In Proc. of the 10th IEEE Mediterranean Electrotechnical and Electronical International Conference - MELECON2000 pages 45—48. 2000.

[48]

Rule extraction from neural networks by interval propagation

V. Palade, D. Neagu and G. Puscasu

In Proc. of the 4th IEEE International Conference on Knowledge-Based Intelligent Engineering Systems - KES2000 pages 217—220. 2000.

[49]

An interactive fuzzy operator used in rule extraction from neural networks

D. Neagu, V. Palade

Neural Network World, No. 10/04/08, pages 675—684. 2000.

[50]

Bond Graphs and the Semi-Qualitative Encoding of the Faulty Behaviour in Conductive Flow Systems

V. Ariton, S. Bumbaru and V. Palade

The Annual Scientific Bulletin of the University of Galati, Vol. 3, pages 43—48. 1999.

[51]

A fuzzy neural network based controller implementation using standard neurons

V. Palade, V. Ariton and V. Mazilescu

The Annual Scientific Bulletin of the University of Galati, Vol. 3, pages 56—61. 1999.

[52]

Fault recognition to a DC motor using neural networks

G. Puscasu, V. Palade

In Proceedings of the 2nd Int. Conference on Electromechanical Systems - SIELMEC'99 pages 249—252. 1999.

[53]

Aspects of integration of explicit and implicit knowledge in connectionist expert systems

D. Neagu, M. G. Negoita and V. Palade

In Proc. of the 6th IEEE International Conference on Neural Information Processing — ICONIP99 Vol. 2, pages 759—764. 1999.

[54]

A neural network based method for controlling a DC motor

V. Palade, G. Puscasu

In Proceedings of the 2nd Int. Conference on Electromechanical Systems — SIELMEC'99 pages 51—54. 1999.

[55]

Genetic algorithm optimization of knowledge extraction from neural networks

V. Palade, M.G. Negoita and V. Ariton

In Proc. of the 6th IEEE International Conference on Neural Information Processing — ICONIP99 Vol. 2, pages 752—758. 1999.

[56]

Fuzzy Computing in a Multi-purpose Neural Network Implementation

V. Palade

In Berndt Reusch, editor, Computional Intelligence: Theory and Applications No. 1625, pages 697—700. Springer Verlag, May 1999.

[57]

Neural network-based control by inverting neural models

V. Palade, G. Puscasu and D. Neagu

Journal of Control Engineering and Applied Informatics, Vol. 12/01/08, pages 25—35. 1999.

[58]

Predictability of fuzzy compiled models for real time expert control systems

V. Mazilescu, C. Novac and V. Palade

The Annual Scientific Bulletin of the University of Galati, Vol. 3, pages 101—110. 1998.

[59]

On fuzzy rule acquiring using fuzzy neural networks

V. Palade, V. Ariton and G. Puscasu

The Annual Scientific Bulletin of the University of Galati, Vol. 3, pages 116—120. 1998.

[60]

A fuzzy approach in pattern recognition using potential function method

G. Puscasu, C. Milos and V. Palade

In Proceedings of the 10th International Symposium on Modelling, Simulation and Identification Systems — SIMSIS10 pages 35—38. 1998.

[61]

Eliminating redundant rules in fuzzy neural networks

V. Palade, G. Puscasu

In Proceedings of the 10th Int. Symposium on Modelling, Simulation and System Identification — SIMSIS10 pages 22—25. 1998.

[62]

A method for compiling neural networks into fuzzy rules using genetic algorithms and hierarchical aproach

V. Palade, S. Bumbaru and M.G. Negoita

In Proceedings of the 2nd IEEE International Conference on Knowledge-Based Intelligent Electronic Systems- KES1998 Vol. 2, pages 353—358. 1998.

[63]

A hierarchical approach for mapping neural networks into fuzzy rules

V. Palade, V. Ariton and G. Puscasu

The Annual Scientific Bulletin of the University of Galati, Vol. 3, pages 64—69. 1997.

[64]

Case-based fault detection — a method for parallel processing

V. Ariton, V. Palade and F. Popescu

In Proceedings of the IFAC International Workshop on Manufacturing Systems: Modelling, Management and Control — MIM'97 pages 485—490. 1997.

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