N. Pizzi

发表

Robust centroid determination of noisy data using FCM and domain specific partitioning

M. Alexiuk, N. Pizzi, 2003, 22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003.

Narrowcast Advertising Retail Metrics: A Simulation with Fuzzy Product Profitability Potential

W. Pedrycz, M. Alexiuk, N. Pizzi, 2007, 2007 Canadian Conference on Electrical and Computer Engineering.

Bleeding/Bruising Symptomatology in Children with and without Bleeding Disorders

M. Cheang, E. Israels, N. Pizzi, 1991, Thrombosis and Haemostasis.

PREPROCESSING AND CLASSIFICATION OF BIOMEDICAL SPECTRA USING NEURAL NETWORKS

N. Pizzi, 2000 .

A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data

Murray E. Alexander, Erinija Pranckeviciene, Nicolino J. Pizzi, 2004, Artificial Intelligence Methods And Tools For Systems Biology.

Hematology Expert System (HES) For Tonsillectomy/Adenoidectomy Patients

Nicolino J. Pizzi, Jon M. Gerrard, Sandhya Kapoor, 1989, Defense, Security, and Sensing.

Neural network classification of infrared spectra of control and Alzheimer's diseased tissue

Ray L. Somorjai, James R. Mansfield, Henry H. Mantsch, 1995, Artif. Intell. Medicine.

Mapping Software Metrics to Module Complexity: A Pattern Classification Approach

Nicolino J. Pizzi, N. Pizzi, 2011, J. Softw. Eng. Appl..

Aggregating multiple classification results using fuzzy integration and stochastic feature selection

Witold Pedrycz, Nicolino J. Pizzi, W. Pedrycz, 2010, Int. J. Approx. Reason..

Fuzzy pre-processing of gold standards as applied to biomedical spectra classification

Nicolino J. Pizzi, N. Pizzi, 1999, Artif. Intell. Medicine.

Information Processing in Biomedical Applications

Nicolino J. Pizzi, N. Pizzi, 2009, Human-Centric Information Processing Through Granular Modelling.

A Computational Intelligence Strategy for Software Complexity Prediction

Nicolino J. Pizzi, N. Pizzi, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Human perception of software complexity: knowledge discovery from software data

Petr Musílek, Marek Reformat, Vanda Wu, 2004, 16th IEEE International Conference on Tools with Artificial Intelligence.

A Feature Reduction Strategy for the Analysis of Voluminous Biomedical Patterns

Nicolino J. Pizzi, N. Pizzi, 2012, IPMU.

Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network

Witold Pedrycz, Nicolino J. Pizzi, W. Pedrycz, 2012, Adv. Fuzzy Syst..

Fuzzy quartile encoding as a preprocessing method for biomedical pattern classification

Nicolino J. Pizzi, N. Pizzi, 2011, Theor. Comput. Sci..

Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns

Richard Baumgartner, Ray L. Somorjai, Nicolino J. Pizzi, 2004, J. Biomed. Informatics.

Semantic-based Analysis of Rules for Decision Support for Software Maintenance

Petr Musilek, Marek Reformat, Nicolino J. Pizzi, 2016 .

Variance analysis and biomedical pattern classification

Witold Pedrycz, Nicolino J. Pizzi, Aleksander B. Demko, 2010, International Conference on Fuzzy Systems.

On the Role of Soft Computing in Modelling the Spread of Infectious Diseases

Nicolino J. Pizzi, N. Pizzi, 2013, EUSFLAT Conf..

Comparative review of knowledge engineering and inductive learning using data in a medical domain

Nicolino J. Pizzi, Dick Jackson, N. Pizzi, 1990, Defense, Security, and Sensing.

Infrared spectra of human central nervous system tissue: Diagnosis of alzheimer's disease by multivariate analyses

R. L. Somorjai, James R. Mansfield, Henry H. Mantsch, 1995 .

Classification of meteorological volumetric radar data using rough set methods

Witold Pedrycz, Zbigniew Suraj, James F. Peters, 2003, Pattern Recognit. Lett..

A fuzzy classifier approach to estimating software quality

Nicolino J. Pizzi, N. Pizzi, 2013, Inf. Sci..

Software quality prediction using fuzzy integration: a case study

Nicolino J. Pizzi, N. Pizzi, 2007, Soft Comput..

Identifying core sets of discriminatory features using particle swarm optimization

Witold Pedrycz, Byoung-Jun Park, Nicolino J. Pizzi, 2009, Expert Syst. Appl..

Building a software experience factory using granular-based models

Witold Pedrycz, Marek Reformat, Nicolino J. Pizzi, 2004, Fuzzy Sets Syst..

Fuzzy Adaptive Logic Networks as Hybrid Models of Quantitative Software Engineering

Witold Pedrycz, Nicolino J. Pizzi, Arnon Breuer, 2006, Intell. Autom. Soft Comput..

Geometry and Logic in Pattern Classifiers

Witold Pedrycz, Nicolino J. Pizzi, W. Pedrycz, 2003 .

Scientific computing with Java and C++: a case study using functional magnetic resonance neuroimages

Rodrigo A. Vivanco, Nicolino J. Pizzi, N. Pizzi, 2005, Softw. Pract. Exp..

EvIdent(TM): a functional magnetic resonance image analysis system

N J Pizzi, R A Vivanco, R L Somorjai, 2001, Artif. Intell. Medicine.

Software Maintenance: Similarity and Inclusion of Rules in Knowledge Extraction

Marek Reformat, Nicolino J. Pizzi, Aashima Kapoor, 2006, 2006 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06).

Classification of 1H MR spectra of human brain neoplasms: The influence of preprocessing and computerized consensus diagnosis on classification accuracy

D Fewer, R L Somorjai, B Dolenko, 1996, Journal of magnetic resonance imaging : JMRI.

Computerized Consensus Diagnosis: A Classification Strategy for the Robust Analysis of MR Spectra. I. Application to 1H Spectra of Thyroid Neoplasms

Peter Russell, Ray L. Somorjai, Alexander E. Nikulin, 1995, Magnetic resonance in medicine.

Biomedical data classification using hierarchical clustering

Hu Yang, N.J. Pizzi, N. Pizzi, 2004, Canadian Conference on Electrical and Computer Engineering 2004 (IEEE Cat. No.04CH37513).

Effective classification using feature selection and fuzzy integration

Witold Pedrycz, Nicolino J. Pizzi, W. Pedrycz, 2008, Fuzzy Sets Syst..

Representation and classification of high-dimensional biomedical spectral data

Witold Pedrycz, Nicolino J. Pizzi, D. J. Lee, 2010, Pattern Analysis and Applications.

Unsupervised hierarchical image segmentation with level set and additive operator splitting

Witold Pedrycz, Murray E. Alexander, Moongu Jeon, 2005, Pattern Recognit. Lett..

Fast noniterative registration of magnetic resonance images

Murray E. Alexander, Rodrigo A. Vivanco, Nicolino J. Pizzi, 2001, SPIE Medical Imaging.

Record linkage based on a three-way decision with the use of granular descriptors

Witold Pedrycz, Tinghui Ouyang, Nicolino J. Pizzi, 2019, Expert Syst. Appl..

Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm

Rodrigo A. Vivanco, Nicolino J. Pizzi, N. Pizzi, 2004, GECCO.

Fuzzy wavelet packet based feature extraction method and its application to biomedical signal classification

Witold Pedrycz, Nicolino J. Pizzi, De-Qiang Li, 2005, IEEE Transactions on Biomedical Engineering.

A supervised gradient-based learning algorithm for optimized entity resolution

Witold Pedrycz, Orion Fausto Reyes-Galaviz, Nicolino J. Pizzi, 2017, Data Knowl. Eng..

Severe storm cell classification using support vector machines and radial basis function approaches

W. Pedrycz, L. Ramirez, N. Pizzi, 2001, Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555).

Scopira: a pattern recognition application framework for biomedical datasets

Rodrigo A. Vivanco, Nicolino J. Pizzi, Aleksander B. Demko, 2005, Fourth International Conference on Machine Learning and Applications (ICMLA'05).

Tactical Clinical Text Mining for Improved Patient Characterization

Raja Krishnamoorthy, Nicolino J. Pizzi, Heather Champion, 2014, 2014 IEEE International Congress on Big Data.

Biomedical pattern classification using an optimized fuzzy adaptive logic network

N.J. Pizzi, N. Retnakaran, N. Pizzi, 2005, Canadian Conference on Electrical and Computer Engineering, 2005..

A public health decision support system framework using approximate reasoning methods

Nicolino J. Pizzi, N. Pizzi, 2013, 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS).

Discriminatory Components for Pattern Classification

Witold Pedrycz, Nicolino J. Pizzi, W. Pedrycz, 2009, IFSA/EUSFLAT Conf..

EvIdent: a Java-based fMRI data analysis application

Rodrigo A. Vivanco, Nicolino J. Pizzi, R. Somorjai, 1999, Optics & Photonics.

Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection

Witold Pedrycz, Nicolino J. Pizzi, Mark D. Alexiuk, 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.

Robust centroids using fuzzy clustering with feature partitions

Nicolino J. Pizzi, Mark D. Alexiuk, M. Alexiuk, 2005, Pattern Recognit. Lett..