| 2009 | ||
|---|---|---|
| 40 | Rukshan Batuwita, Vasile Palade: microPred: effective classification of pre-miRNAs for human miRNA gene prediction. Bioinformatics 25(8): 989-995 (2009) | |
| 39 | Douglas A. G. Vieira, L. Travassos, Rodney R. Saldanha, Vasile Palade: Signal denoising in engineering problems through the minimum gradient method. Neurocomputing 72(10-12): 2270-2275 (2009) | |
| 2008 | ||
| 38 | Rukshan Batuwita, Vasile Palade: An improved non-comparative classification method for human microRNA gene prediction. BIBE 2008: 1-6 | |
| 37 | Douglas A. G. Vieira, X. L. Travassos Jr., Vasile Palade, Rodney R. Saldanha: Filtering Noise in Regression Problems Using a Multiobjective Learning Algorithm. ICTAI (2) 2008: 452-456 | |
| 36 | Douglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas: The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem. IEEE Transactions on Neural Networks 19(8): 1415-1430 (2008) | |
| 2007 | ||
| 35 | Lakhmi C. Jain, Vasile Palade, Dipti Srinivasan: Advances in Evolutionary Computing for System Design Springer 2007 | |
| 34 | Zhenyu Wang, Vasile Palade: A Comprehensive Fuzzy-Based Framework for Cancer Microarray Data Gene Expression Analysis. BIBE 2007: 1003-1010 | |
| 33 | Romesh Ranawana, Vasile Palade, Daniel Howard: Genetic Algorithm Approach to Construction of Specialized Multi-Classifier Systems: Application to DNA Analysis. FBIT 2007: 341-346 | |
| 32 | Viorel Nicolau, Vasile Palade, Dorel Aiordachioaie, Constantin Miholca: Neural Network Prediction of the Roll Motion of a Ship for Intelligent Course Control. KES (3) 2007: 284-291 | |
| 31 | Romesh Ranawana, Vasile Palade: A Neuro-Genetic Framework for Multi-Classifier Design: An Application to Promoter Recognition in DNA Sequences. Advances in Evolutionary Computing for System Design 2007: 71-94 | |
| 30 | Juan D. Velásquez, Vasile Palade: Building a Knowledge Base for Implementing a Web-Based Computerized Recommendation System. International Journal on Artificial Intelligence Tools 16(5): 793-828 (2007) | |
| 29 | Juan D. Velásquez, Vasile Palade: A Knowledge Base for the maintenance of knowledge extracted from web data. Knowl.-Based Syst. 20(3): 238-248 (2007) | |
| 2006 | ||
| 28 | Juan D. Velásquez, Vasile Palade: Testing Online Navigation Recommendations in a Web Site. KES (3) 2006: 487-496 | |
| 27 | Romesh Ranawana, Vasile Palade: Multi-Classifier Systems: Review and a roadmap for developers. Int. J. Hybrid Intell. Syst. 3(1): 35-61 (2006) | |
| 26 | Radu Belea, Sergiu Caraman, Vasile Palade: Genetic algorithm convergence analysis using a unified representation of genes and the hamming distance. KES Journal 10(1): 29-40 (2006) | |
| 2005 | ||
| 25 | Romesh Ranawana, Vasile Palade, G. E. M. D. C. Bandara: Automatic fuzzy rule base generation for on-line handwritten alphanumeric character recognition. KES Journal 9(4): 327-339 (2005) | |
| 24 | Romesh Ranawana, Vasile Palade: A neural network based multi-classifier system for gene identification in DNA sequences. Neural Computing and Applications 14(2): 122-131 (2005) | |
| 23 | Viorel Ariton, Vasile Palade: Human-like fault diagnosis using a neural network implementation of plausibility and relevance. Neural Computing and Applications 14(2): 149-165 (2005) | |
| 22 | Vasile Palade, Lakhmi C. Jain: Practical applications of neural networks. Neural Computing and Applications 14(2): 95-96 (2005) | |
| 2004 | ||
| 21 | Radu Belea, Sergiu Caraman, Vasile Palade: Diagnosing the Population State in a Genetic Algorithm Using Hamming Distance. KES 2004: 246-255 | |
| 20 | Cosmin Danut Bocaniala, José L. Sá da Costa, Vasile Palade: Refinement of the Diagnosis Process Performed with a Fuzzy Classifier. KES 2004: 365-372 | |
| 19 | Romesh Ranawana, Vasile Palade, G. E. M. D. C. Bandara: An Efficient Fuzzy Method for Handwritten Character Recognition. KES 2004: 698-707 | |
| 18 | Romesh Ranawana, Vasile Palade: MultiNNProm: A Multi-Classifier System for Finding Genes. WSC 2004: 451-463 | |
| 17 | Vasile Palade, Ajith Abraham, Lakhmi C. Jain: Editorial First Issue. Int. J. Hybrid Intell. Syst. 1(1): 2 (2004) | |
| 16 | Krisana Chinnasarn, Chidchanok Lursinsap, Vasile Palade: Blind Separation Of Mixed Kurtosis Signed Signals Using Partial Observations And Low Complexity Activation Functions. International Journal of Computational Intelligence and Applications 4(2): 207-223 (2004) | |
| 15 | Vasile Palade, Lakhmi C. Jain: Engineering applications of computational intelligence. Journal of Intelligent and Fuzzy Systems 15(3-4): 137-138 (2004) | |
| 14 | Cosmin Danut Bocaniala, José L. Sá da Costa, Vasile Palade: A novel fuzzy classification solution for fault diagnosis. Journal of Intelligent and Fuzzy Systems 15(3-4): 195-205 (2004) | |
| 13 | Grigore Fetecau, Vasile Palade, Viorel Nicolau: Neural network based optimal control of a biosynthesis process. KES Journal 8(2): 107-116 (2004) | |
| 2003 | ||
| 12 | Vasile Palade, Robert J. Howlett, Lakhmi C. Jain: Knowledge-Based Intelligent Information and Engineering Systems, 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part I Springer 2003 | |
| 11 | Vasile Palade, Robert J. Howlett, Lakhmi C. Jain: Knowledge-Based Intelligent Information and Engineering Systems, 7th International Conference, KES 2003, Oxford, UK, September 3-5, 2003, Proceedings, Part II Springer 2003 | |
| 10 | Krisana Chinnasarn, Chidchanok Lursinsap, Vasile Palade: Low Complexity Functions for Stationary Independent Component Mixtures. KES 2003: 660-668 | |
| 9 | Grigore Fetecau, Viorel Nicolau, Vasile Palade, Maria Fetecau: Intelligent Optimal Control of a Biosynthesis Process Using a Neural Network Based Estimator. KES 2003: 941-949 | |
| 8 | Daniel Neagu, Vasile Palade: A neuro-fuzzy approach for functional genomics data interpretation and analysis. Neural Computing and Applications 12(3-4): 153-159 (2003) | |
| 2002 | ||
| 7 | Ciprian-Daniel Neagu, Vasile Palade: Modular Neuro-Fuzzy Networks Used in Explicit and Implicit Knowledge Integration. FLAIRS Conference 2002: 277-281 | |
| 6 | Ciprian-Daniel Neagu, Nikolaos M. Avouris, Elias Kalapanidas, Vasile Palade: Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction. Appl. Intell. 17(2): 141-169 (2002) | |
| 2001 | ||
| 5 | Vasile Palade, Ciprian-Daniel Neagu, Ronald J. Patton: Interpretation of Trained Neural Networks by Rule Extraction. Fuzzy Days 2001: 152-161 | |
| 2000 | ||
| 4 | Ciprian-Daniel Neagu, Vasile Palade: Neural explicit and implicit knowledge representation. KES 2000: 213-216 | |
| 3 | Vasile Palade, D.-C. Neagu, G. Puscasu: Rule extraction from neural networks by interval propagation. KES 2000: 217-220 | |
| 1999 | ||
| 2 | Ciprian-Daniel Neagu, Vasile Palade: Fuzzy Computing in a MultiPurpose Neural Network Implementation. Fuzzy Days 1999: 697-700 | |
| 1998 | ||
| 1 | Vasile Palade, Severin Bumbaru, G. Negoita: A method for compiling neural networks into fuzzy rules using genetic algorithms and hierarchical approach. KES (2) 1998: 353-358 | |