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ORCIDNicolino J. Pizzi
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- affiliation: University of Manitoba, Winnipeg, Canada
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Books and Theses
- 1999
[b1]Nicolino J. Pizzi:
Pattern recognition using robust discrimination and fuzzy set theoretic preprocessing. University of Manitoba, Winnipeg, Canada, 1999
Journal Articles
- 2021
- [j32]Tinghui Ouyang
, Witold Pedrycz, Orion Fausto Reyes-Galaviz, Nick J. Pizzi:
Granular Description of Data Structures: A Two-Phase Design. IEEE Trans. Cybern. 51(4): 1902-1912 (2021) - [j31]Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi:
Rule-Based Modeling With DBSCAN-Based Information Granules. IEEE Trans. Cybern. 51(7): 3653-3663 (2021) - 2019
- [j30]Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi:
Record linkage based on a three-way decision with the use of granular descriptors. Expert Syst. Appl. 122: 16-26 (2019) - 2017
- [j29]Orion Fausto Reyes-Galaviz, Witold Pedrycz, Ziyue He, Nick J. Pizzi:
A supervised gradient-based learning algorithm for optimized entity resolution. Data Knowl. Eng. 112: 106-129 (2017) - 2013
- [j28]Nick J. Pizzi:
A fuzzy classifier approach to estimating software quality. Inf. Sci. 241: 1-11 (2013) - 2012
- [j27]Nick J. Pizzi, Witold Pedrycz:
Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network. Adv. Fuzzy Syst. 2012: 920920:1-920920:7 (2012) - 2011
- [j26]Nick J. Pizzi:
Mapping Software Metrics to Module Complexity: A Pattern Classification Approach. J. Softw. Eng. Appl. 4(7): 426-432 (2011) - [j25]Nick J. Pizzi:
Fuzzy quartile encoding as a preprocessing method for biomedical pattern classification. Theor. Comput. Sci. 412(42): 5909-5925 (2011) - 2010
- [j24]Nick J. Pizzi, Witold Pedrycz:
Aggregating multiple classification results using fuzzy integration and stochastic feature selection. Int. J. Approx. Reason. 51(8): 883-894 (2010) - [j23]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) - 2009
- [j22]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) - [j21]Aleksander B. Demko, Nick J. Pizzi:
Scopira: an open source C++ framework for biomedical data analysis applications. Softw. Pract. Exp. 39(6): 641-660 (2009) - 2008
- [j20]Nick J. Pizzi, Witold Pedrycz:
Effective classification using feature selection and fuzzy integration. Fuzzy Sets Syst. 159(21): 2859-2872 (2008) - [j19]Nick J. Pizzi:
Software quality prediction using fuzzy integration: a case study. Soft Comput. 12(1): 67-76 (2008) - 2006
- [j18]Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi:
Fuzzy Adaptive Logic Networks as Hybrid Models of Quantitative Software Engineering. Intell. Autom. Soft Comput. 12(2): 189-209 (2006) - 2005
- [j17]Mark D. Alexiuk, Nicolino J. Pizzi:
Robust centroids using fuzzy clustering with feature partitions. Pattern Recognit. Lett. 26(8): 1039-1046 (2005) - [j16]Moongu Jeon, Murray E. Alexander, Witold Pedrycz, Nicolino J. Pizzi:
Unsupervised hierarchical image segmentation with level set and additive operator splitting. Pattern Recognit. Lett. 26(10): 1461-1469 (2005) - [j15]Rodrigo A. Vivanco, Nicolino J. Pizzi:
Scientific computing with Java and C++: a case study using functional magnetic resonance neuroimages. Softw. Pract. Exp. 35(3): 237-254 (2005) - [j14]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. Eng. 52(6): 1132-1139 (2005) - 2004
- [j13]Witold Pedrycz, Arnon Breuer, Nicolino J. Pizzi:
Genetic design of feature spaces for pattern classifiers. Artif. Intell. Medicine 32(2): 115-125 (2004) - [j12]Marek Z. Reformat, Witold Pedrycz, Nicolino J. Pizzi:
Building a software experience factory using granular-based models. Fuzzy Sets Syst. 145(1): 111-139 (2004) - [j11]Ray L. Somorjai, Brion Dolenko, Aleksander B. Demko, Marina Mandelzweig, Aleksander 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. J. Biomed. Informatics 37(5): 366-379 (2004) - 2003
- [j10]Marek Z. Reformat, Witold Pedrycz, Nicolino J. Pizzi:
Software quality analysis with the use of computational intelligence. Inf. Softw. Technol. 45(7): 405-417 (2003) - [j9]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 Recognit. Lett. 24(6): 911-920 (2003) - 2002
- [j8]Ray L. Somorjai, Rodrigo A. Vivanco, Nicolino J. Pizzi:
A novel, direct spatio-temporal approach for analyzing fMRI experiments. Artif. Intell. Medicine 25(1): 5-17 (2002) - 2001
- [j7]Nicolino J. Pizzi:
Bleeding predisposition assessments in tonsillectomy/adenoidectomy patients using fuzzy interquartile encoded neural networks. Artif. Intell. Medicine 21(1-3): 65-90 (2001) - [j6]Nicolino J. Pizzi, Rodrigo A. Vivanco, Ray L. Somorjai:
EvIdent(TM): a functional magnetic resonance image analysis system. Artif. Intell. Medicine 21(1-3): 263-269 (2001) - 2000
- [j5]Mark D. Alexiuk, Nicolino J. Pizzi, Pak Ching Li, Witold Pedrycz:
Neural Network Based Power Flow Predictor. J. Adv. Comput. Intell. Intell. Informatics 4(3): 206-211 (2000) - 1999
- [j4]Nicolino J. Pizzi:
Fuzzy pre-processing of gold standards as applied to biomedical spectra classification. Artif. Intell. Medicine 16(2): 171-182 (1999) - 1995
- [j3]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. Artif. Intell. Medicine 7(1): 67-79 (1995) - [j2]Heather Gordon, Nicolino J. Pizzi, Jon M. Gerrard, Ray L. Somorjai:
Assessment of Bleeding Predispositions in Tonsillectomy/Adenoidectomy Patients Using Non-Metric Clustering. Int. J. Pattern Recognit. Artif. Intell. 9(3): 557-564 (1995) - 1990
- [j1]Nicolino J. Pizzi, Jon M. Gerrard:
Expert System Approach to Assessments of Bleeding Predispositions in tonsillectomy/Adenoidectomy patients. Int. J. Pattern Recognit. Artif. Intell. 4(3): 371-388 (1990)
Conference and Workshop Papers
- 2014
- [c20]Heather Champion, Nick J. Pizzi, Raja Krishnamoorthy:
Tactical Clinical Text Mining for Improved Patient Characterization. BigData Congress 2014: 683-690 - 2013
- [c19]Nick J. Pizzi:
On the Role of Soft Computing in Modelling the Spread of Infectious Diseases. EUSFLAT Conf. 2013 - [c18]Nick J. Pizzi:
A public health decision support system framework using approximate reasoning methods. IFSA/NAFIPS 2013: 128-133 - 2012
- [c17]Nick J. Pizzi:
A Feature Reduction Strategy for the Analysis of Voluminous Biomedical Patterns. IPMU (3) 2012: 132-141 - 2010
- [c16]Nick J. Pizzi, Aleksander B. Demko, Witold Pedrycz:
Variance analysis and biomedical pattern classification. FUZZ-IEEE 2010: 1-8 - 2009
- [c15]Nick J. Pizzi, Witold Pedrycz:
Discriminatory Components for Pattern Classification. IFSA/EUSFLAT Conf. 2009: 748-753 - 2008
- [c14]Nicolino J. Pizzi, Witold Pedrycz:
An analysis of potentially imprecise class labels using a fuzzy similarity measure. FUZZ-IEEE 2008: 667-672 - 2007
- [c13]Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz:
Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection. CIDM 2007: 668-673 - 2006
- [c12]Mark D. Alexiuk, G. Sawatzky, Nicolino J. Pizzi, Witold Pedrycz:
Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models. CCECE 2006: 1723-1726 - [c11]Marek Z. Reformat, Aashima Kapoor, Nicolino J. Pizzi:
Software Maintenance: Similarity and Inclusion of Rules in Knowledge Extraction. ICTAI 2006: 723-731 - [c10]Nick J. Pizzi:
A Computational Intelligence Strategy for Software Complexity Prediction. IJCNN 2006: 4727-4733 - 2005
- [c9]Rodrigo A. Vivanco, Aleksander B. Demko, Nick J. Pizzi:
Scopira: a pattern recognition application framework for biomedical datasets. ICMLA 2005 - [c8]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 - 2004
- [c7]Rodrigo A. Vivanco, Nicolino J. Pizzi:
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm. GECCO (2) 2004: 1388-1399 - [c6]Marek Z. Reformat, Petr Musílek, Vanda Wu, Nicolino J. Pizzi:
Human Perception of Software Complexity: Knowledge Discovery from Software Data. ICTAI 2004: 202-206 - 2003
- [c5]Rodrigo A. Vivanco, Nicolino J. Pizzi:
Fuzzy Region Growing of fMRI Activation Areas. Medical Imaging: Image Processing 2003 - 2002
- [c4]Marek Z. Reformat, Witold Pedrycz, Nicolino J. Pizzi:
Software quality analysis with the use of computational intelligence. FUZZ-IEEE 2002: 1156-1161 - 2001
- [c3]Nicolino J. Pizzi, Murray E. Alexander, Rodrigo A. Vivanco, Raymond L. Somorjai:
Fast noniterative registration of magnetic resonance images. Medical Imaging: Image Processing 2001 - 2000
- [c2]Nicolino J. Pizzi, Witold Pedrycz:
Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures. IJCNN (3) 2000: 109-114 - [c1]Nicolino J. Pizzi:
Classification of Storm Events Using a Fuzzy Encoded Multilayer Perceptron. IJCNN (6) 2000: 547-550
Parts in Books or Collections
- 2016
- [p4]Nick J. Pizzi:
Measuring the Utility of Functional-Based Software Using Centroid-Adjusted Class Labelling. Computational Intelligence and Quantitative Software Engineering 2016: 117-134 - 2009
- [p3]Nick J. Pizzi:
Information Processing in Biomedical Applications. Human-Centric Information Processing Through Granular Modelling 2009: 289-311 - 2007
- [p2]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 - 2004
- [p1]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, Peter Zhilkin:
A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data. Artificial Intelligence Methods And Tools For Systems Biology 2004: 67-85
Coauthor Index
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