Expert System Approach to Assessments of Bleeding Predispositions in tonsillectomy/Adenoidectomy patients. - Nicolino J. Pizzi; Jon M. Gerrard (Int. J. Pattern Recognit. Artif. Intell., 1990)

Neural network classification of infrared spectra of control and Alzheimer's diseased tissue. - Nicolino J. Pizzi; L. P. Choo; James R. Mansfield; Michael Jackson 002; W. C. Halliday; Henry H. Mantsch; Ray L. Somorjai (Artif. Intell. Medicine, 1995)

Assessment of Bleeding Predispositions in Tonsillectomy/Adenoidectomy Patients Using Non-Metric Clustering. - Heather Gordon; Nicolino J. Pizzi; Jon M. Gerrard; Ray L. Somorjai (Int. J. Pattern Recognit. Artif. Intell., 1995)

Fuzzy pre-processing of gold standards as applied to biomedical spectra classification. - Nicolino J. Pizzi (Artif. Intell. Medicine, 1999)

Pattern recognition using robust discrimination and fuzzy set theoretic preprocessing. - Nicolino J. Pizzi (1999)

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

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

Neural Network Based Power Flow Predictor. - Mark D. Alexiuk; Nicolino J. Pizzi; Pak Ching Li; Witold Pedrycz (J. Adv. Comput. Intell. Intell. Informatics, 2000)

Fast noniterative registration of magnetic resonance images. - Nicolino J. Pizzi; Murray E. Alexander; Rodrigo A. Vivanco; Raymond L. Somorjai (Image Processing, 2001)

Bleeding predisposition assessments in tonsillectomy/adenoidectomy patients using fuzzy interquartile encoded neural networks. - Nicolino J. Pizzi (Artif. Intell. Medicine, 2001)

EvIdent(TM): a functional magnetic resonance image analysis system. - Nicolino J. Pizzi; Rodrigo A. Vivanco; Ray L. Somorjai (Artif. Intell. Medicine, 2001)

A novel, direct spatio-temporal approach for analyzing fMRI experiments. - Ray L. Somorjai; Rodrigo A. Vivanco; Nicolino J. Pizzi (Artif. Intell. Medicine, 2002)

Fuzzy Region Growing of fMRI Activation Areas. - Rodrigo A. Vivanco; Nicolino J. Pizzi (Image Processing, 2003)

Software quality analysis with the use of computational intelligence. - Marek Z. Reformat; Witold Pedrycz; Nicolino J. Pizzi (Inf. Softw. Technol., 2003)

Classification of meteorological volumetric radar data using rough set methods. - James F. Peters; Zbigniew Suraj; S. Shan; Sheela Ramanna; Witold Pedrycz; Nicolino J. Pizzi (Pattern Recognit. Lett., 2003)

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

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

Classification of magnetic resonance spectra using parallel randomized feature selection. - Nicolino J. Pizzi; Witold Pedrycz (IJCNN, 2004)

Genetic design of feature spaces for pattern classifiers. - Witold Pedrycz; Arnon Breuer; Nicolino J. Pizzi (Artif. Intell. Medicine, 2004)

Building a software experience factory using granular-based models. - Marek Z. Reformat; Witold Pedrycz; Nicolino J. Pizzi (Fuzzy Sets Syst., 2004)

Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns. - Ray L. Somorjai; Brion Dolenko; Aleksander B. Demko; Marina Mandelzweig; Aleksander E. Nikulin; Richard Baumgartner; Nicolino J. Pizzi (J. Biomed. Informatics, 2004)

A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data. - Raymund L. Somorjai; Murray E. Alexander; Richard Baumgartner; Stephanie Booth; Christopher Bowman; Aleksander B. Demko; Brion Dolenko; Marina Mandelzweig; Aleksander E. Nikulin; Nicolino J. Pizzi; Erinija Pranckeviciene; Arthur R. Summers; et al. (Artificial Intelligence Methods And Tools For Systems Biology, 2004)

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

Stochastic feature selection for the discrimination of biomedical spectra. - Nick J. Pizzi; Mark D. Alexiuk; Witold Pedrycz (IJCNN, 2005)

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

Robust centroids using fuzzy clustering with feature partitions. - Mark D. Alexiuk; Nicolino J. Pizzi (Pattern Recognit. Lett., 2005)

Unsupervised hierarchical image segmentation with level set and additive operator splitting. - Moongu Jeon; Murray E. Alexander; Witold Pedrycz; Nicolino J. Pizzi (Pattern Recognit. Lett., 2005)

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

Fuzzy wavelet packet based feature extraction method and its application to biomedical signal classification. - De-Qiang Li; Witold Pedrycz; Nicolino J. Pizzi (IEEE Trans. Biomed. Eng., 2005)

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

Software Maintenance: Similarity and Inclusion of Rules in Knowledge Extraction. - Marek Z. Reformat; Aashima Kapoor; Nicolino J. Pizzi (ICTAI, 2006)

A Computational Intelligence Strategy for Software Complexity Prediction. - Nick J. Pizzi (IJCNN, 2006)

Fuzzy Adaptive Logic Networks as Hybrid Models of Quantitative Software Engineering. - Witold Pedrycz; Arnon Breuer; Nicolino J. Pizzi (Intell. Autom. Soft Comput., 2006)

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

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

An analysis of potentially imprecise class labels using a fuzzy similarity measure. - Nicolino J. Pizzi; Witold Pedrycz (FUZZ-IEEE, 2008)

Effective classification using feature selection and fuzzy integration. - Nick J. Pizzi; Witold Pedrycz (Fuzzy Sets Syst., 2008)

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

Discriminatory Components for Pattern Classification. - Nick J. Pizzi; Witold Pedrycz (IFSA/EUSFLAT Conf., 2009)

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

Scopira: an open source C++ framework for biomedical data analysis applications. - Aleksander B. Demko; Nick J. Pizzi (Softw. Pract. Exp., 2009)

Information Processing in Biomedical Applications. - Nick J. Pizzi (Human-Centric Information Processing Through Granular Modelling, 2009)

Variance analysis and biomedical pattern classification. - Nick J. Pizzi; Aleksander B. Demko; Witold Pedrycz (FUZZ-IEEE, 2010)

Aggregating multiple classification results using fuzzy integration and stochastic feature selection. - Nick J. Pizzi; Witold Pedrycz (Int. J. Approx. Reason., 2010)

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

Mapping Software Metrics to Module Complexity: A Pattern Classification Approach. - Nick J. Pizzi (J. Softw. Eng. Appl., 2011)

Fuzzy quartile encoding as a preprocessing method for biomedical pattern classification. - Nick J. Pizzi (Theor. Comput. Sci., 2011)

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

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

On the Role of Soft Computing in Modelling the Spread of Infectious Diseases. - Nick J. Pizzi (EUSFLAT Conf., 2013)

A public health decision support system framework using approximate reasoning methods. - Nick J. Pizzi (IFSA/NAFIPS, 2013)

A fuzzy classifier approach to estimating software quality. - Nick J. Pizzi (Inf. Sci., 2013)

Tactical Clinical Text Mining for Improved Patient Characterization. - Heather Champion; Nick J. Pizzi; Raja Krishnamoorthy (BigData Congress, 2014)

Measuring the Utility of Functional-Based Software Using Centroid-Adjusted Class Labelling. - Nick J. Pizzi (Computational Intelligence and Quantitative Software Engineering, 2016)

A supervised gradient-based learning algorithm for optimized entity resolution. - Orion Fausto Reyes-Galaviz; Witold Pedrycz; Ziyue He; Nick J. Pizzi (Data Knowl. Eng., 2017)

Record linkage based on a three-way decision with the use of granular descriptors. - Tinghui Ouyang; Witold Pedrycz; Nick J. Pizzi (Expert Syst. Appl., 2019)

Rule-Based Modeling With DBSCAN-Based Information Granules. - Tinghui Ouyang; Witold Pedrycz; Nick J. Pizzi (IEEE Trans. Cybern., 2021)

Granular Description of Data Structures: A Two-Phase Design. - Tinghui Ouyang; Witold Pedrycz; Orion Fausto Reyes-Galaviz; Nick J. Pizzi (IEEE Trans. Cybern., 2021)