Nick J. Pizzi

25 papers B 3C 2Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2021 J jnl
Granular Description of Data Structures: A Two-Phase Design.
IEEE Trans. Cybern.
Tinghui Ouyang, Witold Pedrycz, Orion Fausto Reyes-Galaviz, Nick J. Pizzi
2021 J jnl
Rule-Based Modeling With DBSCAN-Based Information Granules.
IEEE Trans. Cybern.
Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi
2019 J jnl
Record linkage based on a three-way decision with the use of granular descriptors.
Expert Syst. Appl.
Tinghui Ouyang, Witold Pedrycz, Nick J. Pizzi
2017 J jnl
A supervised gradient-based learning algorithm for optimized entity resolution.
Data Knowl. Eng.
Orion Fausto Reyes-Galaviz, Witold Pedrycz, Ziyue He, Nick J. Pizzi
2016 — ch.
Measuring the Utility of Functional-Based Software Using Centroid-Adjusted Class Labelling.
Computational Intelligence and Quantitative Software Engineering
Nick J. Pizzi
2014 — conf
Tactical Clinical Text Mining for Improved Patient Characterization.
BigData Congress
Heather Champion, Nick J. Pizzi, Raja Krishnamoorthy
2013 J jnl
A fuzzy classifier approach to estimating software quality.
Inf. Sci.
Nick J. Pizzi
2013 — conf
A public health decision support system framework using approximate reasoning methods.
IFSA/NAFIPS
Nick J. Pizzi
2013 — conf
On the Role of Soft Computing in Modelling the Spread of Infectious Diseases.
EUSFLAT Conf.
Nick J. Pizzi
2012 — conf
A Feature Reduction Strategy for the Analysis of Voluminous Biomedical Patterns.
IPMU (3)
Nick J. Pizzi
2012 J jnl
Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network.
Adv. Fuzzy Syst.
Nick J. Pizzi, Witold Pedrycz
2011 J jnl
Fuzzy quartile encoding as a preprocessing method for biomedical pattern classification.
Theor. Comput. Sci.
Nick J. Pizzi
2011 J jnl
Mapping Software Metrics to Module Complexity: A Pattern Classification Approach.
J. Softw. Eng. Appl.
Nick J. Pizzi
2010 J jnl
Aggregating multiple classification results using fuzzy integration and stochastic feature selection.
Int. J. Approx. Reason.
Nick J. Pizzi, Witold Pedrycz
2010 B conf
Variance analysis and biomedical pattern classification.
FUZZ-IEEE
Nick J. Pizzi, Aleksander B. Demko, Witold Pedrycz
2009 — conf
Discriminatory Components for Pattern Classification.
IFSA/EUSFLAT Conf.
Nick J. Pizzi, Witold Pedrycz
2009 — ch.
Information Processing in Biomedical Applications.
Human-Centric Information Processing Through Granular Modelling
Nick J. Pizzi
2009 J jnl
Scopira: an open source C++ framework for biomedical data analysis applications.
Softw. Pract. Exp.
Aleksander B. Demko, Nick J. Pizzi
2008 J jnl
Effective classification using feature selection and fuzzy integration.
Fuzzy Sets Syst.
Nick J. Pizzi, Witold Pedrycz
2008 J jnl
Software quality prediction using fuzzy integration: a case study.
Soft Comput.
Nick J. Pizzi
2007 C conf
Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection.
CIDM
Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz
2007 — ch.
Tuning FCMP to Elicit Novel Time Course Signatures in fMRI Neural Activation Studies.
Analysis and Design of Intelligent Systems using Soft Computing Techniques
Mark D. Alexiuk, Nick J. Pizzi, Witold Pedrycz
2006 B conf
A Computational Intelligence Strategy for Software Complexity Prediction.
IJCNN
Nick J. Pizzi
2005 C conf
Scopira: a pattern recognition application framework for biomedical datasets.
ICMLA
Rodrigo A. Vivanco, Aleksander B. Demko, Nick J. Pizzi
2005 B conf
Stochastic feature selection for the discrimination of biomedical spectra.
IJCNN
Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz