Vasile Palade - researchr alias

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2011

Ensemble of Elman neural networks and support vector machines for reverse engineering of gene regulatory networksS. I. Ao, Vasile Palade. asc, 11(2):1718-1726, 2011. [doi]

A Customizable Fuzzy System for Offline Handwritten Character RecognitionRukshan Batuwita, Vasile Palade, Dharmapriya C. Bandara. ijait, 20(3):425-455, 2011. [doi]

2010

FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance LearningRukshan Batuwita, Vasile Palade. tfs, 18(3):558-571, 2010. [doi]

The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010Sorin Draghici, Taghi M. Khoshgoftaar, Vasile Palade, Witold Pedrycz, M. Arif Wani, Xingquan Zhu, editors, IEEE Computer Society, 2010.

GreenSim: A Network Simulator for Comprehensively Validating and Evaluating New Machine Learning Techniques for Network Structural InferenceChristopher Fogelberg, Vasile Palade. ictai 2010: 225-230 [doi]

On a Multiobjective Training Algorithm for RBF Networks Using Particle Swarm OptimizationG. R. L. Silva, Douglas A. G. Vieira, A. C. Lisboa, Vasile Palade. ictai 2010: 282-285 [doi]

Multi-objective evolutionary algorithms based Interpretable Fuzzy models for microarray gene expression data analysisZhenyu Wang, Vasile Palade. bibm 2010: 308-313 [doi]

2009

A New Performance Measure for Class Imbalance Learning. Application to Bioinformatics ProblemsRukshan Batuwita, Vasile Palade. icmla 2009: 545-550 [doi]

::::microPred::::: effective classification of pre-miRNAs for human miRNA gene predictionRukshan Batuwita, Vasile Palade. bioinformatics, 25(8):989-995, 2009. [doi]

Evaluating Clustering Algorithms for Genetic Regulatory Network Structural InferenceChristopher Fogelberg, Vasile Palade. sgai 2010: 137-149 [doi]

Machine Learning and Genetic Regulatory Networks: A Review and a RoadmapChristopher Fogelberg, Vasile Palade. In Aboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz, editors, Foundations of Computational Intelligence, Volume 1: Learning and Approximation. Volume 201 of Studies in Computational Intelligence, pages 3-34, Springer, 2009. [doi]

Model-based fault detection and isolation of a steam generator using neuro-fuzzy networksRoozbeh Razavi-Far, Hadi Davilu, Vasile Palade, Caro Lucas. ijon, 72(13-15):2939-2951, 2009. [doi]

Signal denoising in engineering problems through the minimum gradient methodDouglas A. G. Vieira, L. Travassos, Rodney R. Saldanha, Vasile Palade. ijon, 72(10-12):2270-2275, 2009. [doi]

International Conference on Machine Learning and Applications, ICMLA 2009, Miami Beach, Florida, USA, December 13-15, 2009M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Lukasz A. Kurgan, Yuan Qi, editors, IEEE Computer Society, 2009.

2008

2007

Advances in Evolutionary Computing for System DesignLakhmi C. Jain, Vasile Palade, Dipti Srinivasan, editors, Volume 66 of Studies in Computational Intelligence, Springer, 2007.

Neural Network Prediction of the Roll Motion of a Ship for Intelligent Course ControlViorel Nicolau, Vasile Palade, Dorel Aiordachioaie, Constantin Miholca. kes 2007: 284-291 [doi]

A Neuro-Genetic Framework for Multi-Classifier Design: An Application to Promoter Recognition in DNA SequencesRomesh Ranawana, Vasile Palade. In Lakhmi C. Jain, Vasile Palade, Dipti Srinivasan, editors, Advances in Evolutionary Computing for System Design. Volume 66 of Studies in Computational Intelligence, pages 71-94, Springer, 2007. [doi]

Genetic Algorithm Approach to Construction of Specialized Multi-Classifier Systems: Application to DNA AnalysisRomesh Ranawana, Vasile Palade, Daniel Howard. fbit 2007: 341-346 [doi]

Building a Knowledge Base for Implementing a Web-Based Computerized Recommendation SystemJuan D. Velásquez, Vasile Palade. ijait, 16(5):793-828, 2007. [doi]

A Knowledge Base for the maintenance of knowledge extracted from web dataJuan D. Velásquez, Vasile Palade. kbs, 20(3):238-248, 2007. [doi]

A Comprehensive Fuzzy-Based Framework for Cancer Microarray Data Gene Expression AnalysisZhenyu Wang, Vasile Palade. bibe 2007: 1003-1010 [doi]

2006

Genetic algorithm convergence analysis using a unified representation of genes and the hamming distanceRadu Belea, Sergiu Caraman, Vasile Palade. kes, 10(1):29-40, 2006. [doi]

Multi-Classifier Systems: Review and a roadmap for developersRomesh Ranawana, Vasile Palade. ijhis, 3(1):35-61, 2006. [doi]

Testing Online Navigation Recommendations in a Web SiteJuan D. Velásquez, Vasile Palade. kes 2006: 487-496 [doi]

2005

Human-like fault diagnosis using a neural network implementation of plausibility and relevanceViorel Ariton, Vasile Palade. nca, 14(2):149-165, 2005. [doi]

Computational Intelligence - Engineering of Hybrid SystemsMircea Gh. Negoita, Daniel Neagu, Vasile Palade. Volume 174 of Studies in Fuzziness and Soft Computing, Springer, 2005. [doi]

Practical applications of neural networksVasile Palade, Lakhmi C. Jain. nca, 14(2):95-96, 2005. [doi]

A neural network based multi-classifier system for gene identification in DNA sequencesRomesh Ranawana, Vasile Palade. nca, 14(2):122-131, 2005. [doi]

Automatic fuzzy rule base generation for on-line handwritten alphanumeric character recognitionRomesh Ranawana, Vasile Palade, G. E. M. D. C. Bandara. kes, 9(4):327-339, 2005. [doi]

2004

Diagnosing the Population State in a Genetic Algorithm Using Hamming DistanceRadu Belea, Sergiu Caraman, Vasile Palade. kes 2004: 246-255 [doi]

A novel fuzzy classification solution for fault diagnosisCosmin Danut Bocaniala, José L. Sá da Costa, Vasile Palade. jifs, 15(3-4):195-205, 2004. [doi]

Refinement of the Diagnosis Process Performed with a Fuzzy ClassifierCosmin Danut Bocaniala, José L. Sá da Costa, Vasile Palade. kes 2004: 365-372 [doi]

Blind Separation Of Mixed Kurtosis Signed Signals Using Partial Observations And Low Complexity Activation FunctionsKrisana Chinnasarn, Chidchanok Lursinsap, Vasile Palade. ijcia, 4(2):207-223, 2004. [doi]

Neural network based optimal control of a biosynthesis processGrigore Fetecau, Vasile Palade, Viorel Nicolau. kes, 8(2):107-116, 2004. [doi]

Editorial First IssueVasile Palade, Ajith Abraham, Lakhmi C. Jain. ijhis, 1(1):2, 2004. [doi]

Engineering applications of computational intelligenceVasile Palade, Lakhmi C. Jain. jifs, 15(3-4):137-138, 2004. [doi]

MultiNNProm: A Multi-Classifier System for Finding GenesRomesh Ranawana, Vasile Palade. softco 2004: 451-463 [doi]

An Efficient Fuzzy Method for Handwritten Character RecognitionRomesh Ranawana, Vasile Palade, G. E. M. D. C. Bandara. kes 2004: 698-707 [doi]

2003

Low Complexity Functions for Stationary Independent Component MixturesKrisana Chinnasarn, Chidchanok Lursinsap, Vasile Palade. kes 2003: 660-668 [doi]

Intelligent Optimal Control of a Biosynthesis Process Using a Neural Network Based EstimatorGrigore Fetecau, Viorel Nicolau, Vasile Palade, Maria Fetecau. kes 2003: 941-949 [doi]

A neuro-fuzzy approach for functional genomics data interpretation and analysisDaniel Neagu, Vasile Palade. nca, 12(3-4):153-159, 2003. [doi]

Knowledge-Based Intelligent Information and Engineering Systems, 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part IIVasile Palade, Robert J. Howlett, Lakhmi C. Jain, editors, Volume 2774 of Lecture Notes in Computer Science, Springer, 2003.

Knowledge-Based Intelligent Information and Engineering Systems, 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part IVasile Palade, Robert J. Howlett, Lakhmi C. Jain, editors, Volume 2773 of Lecture Notes in Computer Science, Springer, 2003.

2002

Modular Neuro-Fuzzy Networks Used in Explicit and Implicit Knowledge IntegrationCiprian-Daniel Neagu, Vasile Palade. flairs 2002: 277-281

Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality PredictionCiprian-Daniel Neagu, Nikolaos M. Avouris, Elias Kalapanidas, Vasile Palade. apin, 17(2):141-169, 2002.

2001

Interpretation of Trained Neural Networks by Rule ExtractionVasile Palade, Ciprian-Daniel Neagu, Ronald J. Patton. fuzzy 2001: 152-161 [doi]

2000

Neural explicit and implicit knowledge representationCiprian-Daniel Neagu, Vasile Palade. kes 2000: 213-216 [doi]

Rule extraction from neural networks by interval propagationVasile Palade, D.-C. Neagu, G. Puscasu. kes 2000: 217-220 [doi]

1999

Fuzzy Computing in a MultiPurpose Neural Network ImplementationCiprian-Daniel Neagu, Vasile Palade. fuzzy 1999: 697-700

1998

A method for compiling neural networks into fuzzy rules using genetic algorithms and hierarchical approachVasile Palade, Severin Bumbaru, G. Negoita. kes 1998: 353-358 [doi]