Nicolino J. Pizzi

发表

Multicamera vision-based approach to flexible feature measurement for inspection and reverse engineering

Sabry F. El-Hakim, Nicolino J. Pizzi, 1993 .

Fast noniterative registration of magnetic resonance images

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

Tactical Clinical Text Mining for Improved Patient Characterization

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

Mapping Software Metrics to Module Complexity: A Pattern Classification Approach

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

Classification of meteorological volumetric radar data using rough set methods

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

Fuzzy set theoretic adjustment to training set class labels using robust location measures

Witold Pedrycz, Nicolino J. Pizzi, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Identifying core sets of discriminatory features using particle swarm optimization

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

Aggregating multiple classification results using fuzzy integration and stochastic feature selection

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

Bleeding predisposition assessments in tonsillectomy/adenoidectomy patients using fuzzy interquartile encoded neural networks

Nicolino J. Pizzi, 2001, Artif. Intell. Medicine.

Neural Network Based Power Flow Predictor

Witold Pedrycz, Pak Ching Li, Nicolino J. Pizzi, 2000, J. Adv. Comput. Intell. Intell. Informatics.

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.

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..

Software quality prediction using fuzzy integration: a case study

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

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

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

Tuning FCMP to Elicit Novel Time Course Signatures in fMRI Neural Activation Studies

Witold Pedrycz, Nicolino J. Pizzi, Mark D. Alexiuk, 2007, Analysis and Design of Intelligent Systems using Soft Computing Techniques.

Classification of storm events using a fuzzy encoded multilayer perceptron

Nicolino J. Pizzi, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Scopira: an open source C++ framework for biomedical data analysis applications

Nicolino J. Pizzi, Aleksander B. Demko, 2009, Softw. Pract. Exp..

Information Processing in Biomedical Applications

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

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.

Building a software experience factory using granular-based models

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

A Computational Intelligence Strategy for Software Complexity Prediction

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

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.

The utility of graph theoretic software metrics: a case study

Nicolino J. Pizzi, Aleksander B. Demko, 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

Fuzzy Adaptive Logic Networks as Hybrid Models of Quantitative Software Engineering

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

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.

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..

Fuzzy quartile encoding as a preprocessing method for biomedical pattern classification

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

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).

Effective classification using feature selection and fuzzy integration

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

Software quality analysis with the use of computational intelligence

Witold Pedrycz, Marek Reformat, Nicolino J. Pizzi, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

A supervised gradient-based learning algorithm for optimized entity resolution

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

Robust centroids using fuzzy clustering with feature partitions

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

Severe storm cell classification using derived products optimized by genetic algorithms

W. Pedrycz, Nicolino J. Pizzi, P. C. Li, 2000, 2000 Canadian Conference on Electrical and Computer Engineering. Conference Proceedings. Navigating to a New Era (Cat. No.00TH8492).

An analysis of potentially imprecise class labels using a fuzzy similarity measure

Witold Pedrycz, Nicolino J. Pizzi, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

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

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

Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network

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

A fuzzy classifier approach to estimating software quality

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

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).

Expert System Approach to Assessments of Bleeding Predispositions in tonsillectomy/Adenoidectomy patients

Nicolino J. Pizzi, Jon M. Gerrard, 1990, Int. J. Pattern Recognit. Artif. Intell..

Assessment of Bleeding Predispositions in Tonsillectomy/Adenoidectomy Patients Using Non-Metric Clustering

Ray L. Somorjai, Nicolino J. Pizzi, Heather L. Gordon, 1995, Int. J. Pattern Recognit. Artif. Intell..

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

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

Software quality analysis with the use of computational intelligence

Witold Pedrycz, Marek Reformat, Nicolino J. Pizzi, 2003, Inf. Softw. Technol..

Identifying effective software metrics using genetic algorithms

Nicolino J. Pizzi, R. A. Vivanco, R. Vivanco, 2003, CCECE 2003 - Canadian Conference on Electrical and Computer Engineering. Toward a Caring and Humane Technology (Cat. No.03CH37436).

Scopira: an open source C++ framework for biomedical data analysis applications -- a research project report

Rodrigo A. Vivanco, Nicolino J. Pizzi, Aleksander B. Demko, 2005, OOPSLA '05.

Unsupervised hierarchical image segmentation with level set and additive operator splitting

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

A Feature Reduction Strategy for the Analysis of Voluminous Biomedical Patterns

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

Multilayer perceptron discrimination of software quality in a biomedical data analysis system

Nicolino J. Pizzi, M. D. Alexiuk, 2002, IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373).

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.

Variance analysis and biomedical pattern classification

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

Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models

Witold Pedrycz, Nicolino J. Pizzi, Mark D. Alexiuk, 2006, 2006 Canadian Conference on Electrical and Computer Engineering.

Artificial

Ray L. Somorjai, Rodrigo A. Vivanco, Nicolino J. Pizzi, 2015, Definitions.

Classifying Magnetic Resonance Spectra of Brain Neoplasms Using Fuzzy and Robust Gold Standard Adjustments

Nicolino J. Pizzi, 1998 .

Fuzzy Region Growing of fMRI Activation Areas

Rodrigo A. Vivanco, Nicolino J. Pizzi, 2003, SPIE Medical Imaging.

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).

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

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

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.

Hematology Expert System (HES) For Tonsillectomy/Adenoidectomy Patients

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

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.

Computational performance of Java and C++ in processing large biomedical datasets

Nicolino J. Pizzi, R. A. Vivanco, 2002, IEEE CCECE2002. Canadian Conference on Electrical and Computer Engineering. Conference Proceedings (Cat. No.02CH37373).

Representation and classification of high-dimensional biomedical spectral data

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

Discriminatory Components for Pattern Classification

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

Neurofuzzy Analysis of Software Quality Data

Witold Pedrycz, Marek Reformat, Nicolino J. Pizzi, 2004 .

Object-oriented strategies for a vision dimensional metrology system

Sabry F. El-Hakim, Nicolino J. Pizzi, 1991, 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 .

VCM automated 3-D measurement system: theory, application, and performance evaluation

Sabry F. El-Hakim, David B. Westmore, Nicolino J. Pizzi, 1992, Defense, Security, and Sensing.