Nick J. Pizzi
List of publications from the
2009 |
28 | EE | Aleksander B. Demko,
Nick J. Pizzi:
Scopira: an open source C++ framework for biomedical data analysis applications.
Softw., Pract. Exper. 39(6): 641-660 (2009) |
2008 |
27 | EE | Nick J. Pizzi,
Witold Pedrycz:
Effective classification using feature selection and fuzzy integration.
Fuzzy Sets and Systems 159(21): 2859-2872 (2008) |
26 | EE | Nick J. Pizzi:
Software quality prediction using fuzzy integration: a case study.
Soft Comput. 12(1): 67-76 (2008) |
2007 |
25 | EE | Nick J. Pizzi,
Mark D. Alexiuk,
Witold Pedrycz:
Classification of Biomedical Spectra Using Fuzzy Interquartile Encoding and Stochastic Feature Selection.
CIDM 2007: 668-673 |
24 | EE | 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 |
2006 |
23 | EE | Mark D. Alexiuk,
G. Sawatzky,
Nicolino J. Pizzi,
Witold Pedrycz:
Captology in Narrowcast Advertising: A Swarm Simulation of Persuasion Models.
CCECE 2006: 1723-1726 |
22 | EE | Marek Reformat,
Aashima Kapoor,
Nicolino J. Pizzi:
Software Maintenance: Similarity and Inclusion of Rules in Knowledge Extraction.
ICTAI 2006: 723-731 |
21 | EE | Nick J. Pizzi:
A Computational Intelligence Strategy for Software Complexity Prediction.
IJCNN 2006: 4727-4733 |
2005 |
20 | EE | 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 |
19 | EE | Moongu Jeon,
M. Alexander,
Witold Pedrycz,
Nicolino J. Pizzi:
Unsupervised hierarchical image segmentation with level set and additive operator splitting.
Pattern Recognition Letters 26(10): 1461-1469 (2005) |
18 | EE | Mark D. Alexiuk,
Nicolino J. Pizzi:
Robust centroids using fuzzy clustering with feature partitions.
Pattern Recognition Letters 26(8): 1039-1046 (2005) |
17 | EE | Rodrigo A. Vivanco,
Nicolino J. Pizzi:
Scientific computing with Java and C++: a case study using functional magnetic resonance neuroimages.
Softw., Pract. Exper. 35(3): 237-254 (2005) |
2004 |
16 | EE | Rodrigo A. Vivanco,
Nicolino J. Pizzi:
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm.
GECCO (2) 2004: 1388-1399 |
15 | EE | Marek Reformat,
Petr Musílek,
Vanda Wu,
Nicolino J. Pizzi:
Human Perception of Software Complexity: Knowledge Discovery from Software Data.
ICTAI 2004: 202-206 |
14 | EE | Witold Pedrycz,
Arnon Breuer,
Nicolino J. Pizzi:
Genetic design of feature spaces for pattern classifiers.
Artificial Intelligence in Medicine 32(2): 115-125 (2004) |
13 | EE | Marek Reformat,
Witold Pedrycz,
Nicolino J. Pizzi:
Building a software experience factory using granular-based models.
Fuzzy Sets and Systems 145(1): 111-139 (2004) |
12 | EE | Ray L. Somorjai,
B. Dolenko,
Aleksander B. Demko,
M. Mandelzweig,
A. 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.
Journal of Biomedical Informatics 37(5): 366-379 (2004) |
2003 |
11 | EE | Marek Reformat,
Witold Pedrycz,
Nicolino J. Pizzi:
Software quality analysis with the use of computational intelligence.
Information & Software Technology 45(7): 405-417 (2003) |
10 | EE | 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 Recognition Letters 24(6): 911-920 (2003) |
2002 |
9 | | Ray L. Somorjai,
Rodrigo A. Vivanco,
Nicolino J. Pizzi:
A novel, direct spatio-temporal approach for analyzing fMRI experiments.
Artificial Intelligence in Medicine 25(1): 5-17 (2002) |
2001 |
8 | | Nicolino J. Pizzi,
Rodrigo A. Vivanco,
Ray L. Somorjai:
EvIdent(TM): a functional magnetic resonance image analysis system.
Artificial Intelligence in Medicine 21(1-3): 263-269 (2001) |
7 | | Nicolino J. Pizzi:
Bleeding predisposition assessments in tonsillectomy/adenoidectomy patients using fuzzy interquartile encoded neural networks.
Artificial Intelligence in Medicine 21(1-3): 65-90 (2001) |
2000 |
6 | EE | Nicolino J. Pizzi,
Witold Pedrycz:
Fuzzy Set Theoretic Adjustment to Training Set Class Labels Using Robust Location Measures.
IJCNN (3) 2000: 109-114 |
5 | EE | Nicolino J. Pizzi:
Classification of Storm Events Using a Fuzzy Encoded Multilayer Perceptron.
IJCNN (6) 2000: 547-550 |
4 | EE | Mark D. Alexiuk,
Nicolino J. Pizzi,
Pak Ching Li,
Witold Pedrycz:
Neural Network Based Power Flow Predictor.
JACIII 4(3): 206-211 (2000) |
1999 |
3 | | Nicolino J. Pizzi:
Fuzzy pre-processing of gold standards as applied to biomedical spectra classification.
Artificial Intelligence in Medicine 16(2): 171-182 (1999) |
1995 |
2 | | 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.
Artificial Intelligence in Medicine 7(1): 67-79 (1995) |
1 | | Heather Gordon,
Nicolino J. Pizzi,
Jon M. Gerrard,
Ray L. Somorjai:
Assessment of Bleeding Predispositions in Tonsillectomy/Adenoidectomy Patients Using Non-Metric Clustering.
IJPRAI 9(3): 557-564 (1995) |