Nicolino J. Pizzi

Nick J. Pizzi, Witold Pedrycz: Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network. Adv. Fuzzy Systems 2012 (2012)

Nick J. Pizzi, Witold Pedrycz: Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network. Adv. Fuzzy Systems 2012 (2012)

Nick J. Pizzi: A Feature Reduction Strategy for the Analysis of Voluminous Biomedical Patterns. IPMU (3) 2012: 132-141

Nick J. Pizzi: Mapping Software Metrics to Module Complexity: A Pattern Classification Approach. JSEA 4(7): 426-432 (2011)

Nick J. Pizzi: Fuzzy quartile encoding as a preprocessing method for biomedical pattern classification. Theor. Comput. Sci. 412(42): 5909-5925 (2011)

Nick J. Pizzi, Witold Pedrycz: Aggregating multiple classification results using fuzzy integration and stochastic feature selection. Int. J. Approx. Reasoning 51(8): 883-894 (2010)

Witold Pedrycz, D. J. Lee, Nicolino J. Pizzi: Representation and classification of high-dimensional biomedical spectral data. Pattern Anal. Appl. 13(4): 423-436 (2010)

Nick J. Pizzi, Aleksander B. Demko, Witold Pedrycz: Variance analysis and biomedical pattern classification. FUZZ-IEEE 2010: 1-8

Witold Pedrycz, Byoung-Jun Park, Nicolino J. Pizzi: Identifying core sets of discriminatory features using particle swarm optimization. Expert Syst. Appl. 36(3): 4610-4616 (2009)

Aleksander B. Demko, Nick J. Pizzi: Scopira: an open source C++ framework for biomedical data analysis applications. Softw., Pract. Exper. 39(6): 641-660 (2009)

Nick J. Pizzi, Witold Pedrycz: Discriminatory Components for Pattern Classification. IFSA/EUSFLAT Conf. 2009: 748-753

Nick J. Pizzi, Witold Pedrycz: Effective classification using feature selection and fuzzy integration. Fuzzy Sets and Systems 159(21): 2859-2872 (2008)

Nick J. Pizzi: Software quality prediction using fuzzy integration: a case study. Soft Comput. 12(1): 67-76 (2008)

Nicolino J. Pizzi, Witold Pedrycz: An analysis of potentially imprecise class labels using a fuzzy similarity measure. FUZZ-IEEE 2008: 667-672

Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz: Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. CIDM 2007: 668-673

Mark D. Alexiuk, Nick J. Pizzi, Witold Pedrycz: Tuning FCMP to Elicit Novel Time Course Signatures in fMRI Neural Activation Studies. Analysis and Design of Intelligent Systems using Soft Computing Techniques 2007: 746-755

Mark D. Alexiuk, G. Sawatzky, Nicolino J. Pizzi, Witold Pedrycz: Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models. CCECE 2006: 1723-1726

Marek Reformat, Aashima Kapoor, Nicolino J. Pizzi: Software Maintenance: Similarity and Inclusion of Rules in Knowledge Extraction. ICTAI 2006: 723-731

Nick J. Pizzi: A Computational Intelligence Strategy for Software Complexity Prediction. IJCNN 2006: 4727-4733

Mark D. Alexiuk, Nicolino J. Pizzi: Robust centroids using fuzzy clustering with feature partitions. Pattern Recognition Letters 26(8): 1039-1046 (2005)

Moongu Jeon, M. Alexander, Witold Pedrycz, Nicolino J. Pizzi: Unsupervised hierarchical image segmentation with level set and additive operator splitting. Pattern Recognition Letters 26(10): 1461-1469 (2005)

Rodrigo A. Vivanco, Nicolino J. Pizzi: Scientific computing with Java and C++: a case study using functional magnetic resonance neuroimages. Softw., Pract. Exper. 35(3): 237-254 (2005)

De-Qiang Li, Witold Pedrycz, Nicolino J. Pizzi: Fuzzy wavelet packet based feature extraction method and its application to biomedical signal classification. IEEE Trans. Biomed. Engineering 52(6): 1132-1139 (2005)

Rodrigo A. Vivanco, Aleksander B. Demko, Nick J. Pizzi: Scopira: a pattern recognition application framework for biomedical datasets. ICMLA 2005

Aleksander B. Demko, Rodrigo A. Vivanco, Nicolino J. Pizzi: Scopira: an open source C++ framework for biomedical data analysis applications -- a research project report. OOPSLA Companion 2005: 138-139

Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi: Genetic design of feature spaces for pattern classifiers. Artificial Intelligence in Medicine 32(2): 115-125 (2004)

Marek Reformat, Witold Pedrycz, Nicolino J. Pizzi: Building a software experience factory using granular-based models. Fuzzy Sets and Systems 145(1): 111-139 (2004)

Ray L. Somorjai, B. Dolenko, Aleksander B. Demko, M. Mandelzweig, A. E. Nikulin, Richard Baumgartner, Nicolino J. Pizzi: Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns. Journal of Biomedical Informatics 37(5): 366-379 (2004)

Rodrigo A. Vivanco, Nicolino J. Pizzi: Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm. GECCO (2) 2004: 1388-1399

Marek Reformat, Petr Musílek, Vanda Wu, Nicolino J. Pizzi: Human Perception of Software Complexity: Knowledge Discovery from Software Data. ICTAI 2004: 202-206

Marek Reformat, Witold Pedrycz, Nicolino J. Pizzi: Software quality analysis with the use of computational intelligence. Information & Software Technology 45(7): 405-417 (2003)

James F. Peters, Zbigniew Suraj, S. Shan, Sheela Ramanna, Witold Pedrycz, Nicolino J. Pizzi: Classification of meteorological volumetric radar data using rough set methods. Pattern Recognition Letters 24(6): 911-920 (2003)

Ray L. Somorjai, Rodrigo A. Vivanco, Nicolino J. Pizzi: A novel, direct spatio-temporal approach for analyzing fMRI experiments. Artificial Intelligence in Medicine 25(1): 5-17 (2002)

Nicolino J. Pizzi: Bleeding predisposition assessments in tonsillectomy/adenoidectomy patients using fuzzy interquartile encoded neural networks. Artificial Intelligence in Medicine 21(1-3): 65-90 (2001)

Nicolino J. Pizzi, Rodrigo A. Vivanco, Ray L. Somorjai: EvIdent(TM): a functional magnetic resonance image analysis system. Artificial Intelligence in Medicine 21(1-3): 263-269 (2001)

Mark D. Alexiuk, Nicolino J. Pizzi, Pak Ching Li, Witold Pedrycz: Neural Network Based Power Flow Predictor. JACIII 4(3): 206-211 (2000)

Nicolino J. Pizzi, Witold Pedrycz: Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures. IJCNN (3) 2000: 109-114

Nicolino J. Pizzi: Classification of Storm Events Using a Fuzzy Encoded Multilayer Perceptron. IJCNN (6) 2000: 547-550

Nicolino J. Pizzi: Fuzzy pre-processing of gold standards as applied to biomedical spectra classification. Artificial Intelligence in Medicine 16(2): 171-182 (1999)

Nicolino J. Pizzi, L. P. Choo, James R. Mansfield, Michael Jackson, W. C. Halliday, Henry H. Mantsch, Ray L. Somorjai: Neural network classification of infrared spectra of control and Alzheimer's diseased tissue. Artificial Intelligence in Medicine 7(1): 67-79 (1995)

Heather Gordon, Nicolino J. Pizzi, Jon M. Gerrard, Ray L. Somorjai: Assessment of Bleeding Predispositions in Tonsillectomy/Adenoidectomy Patients Using Non-Metric Clustering. IJPRAI 9(3): 557-564 (1995)