Data Mining Applications Using Artificial Adaptive Systems
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Published By Springer New York

9781461442226, 9781461442233

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning

Data Mining Applications Using Artificial Adaptive Systems ◽

10.1007/978-1-4614-4223-3_7 ◽

2012 ◽

pp. 211-230 ◽

Cited By ~ 1

Author(s):

Massimo Buscema ◽

Pier Luigi Sacco

Keyword(s):

Competitive Learning ◽

New Paradigm

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Optimal Informational Sorting: The ACS-ULA Approach

Data Mining Applications Using Artificial Adaptive Systems ◽

10.1007/978-1-4614-4223-3_6 ◽

2012 ◽

pp. 183-209

Author(s):

Massimo Buscema ◽

Pier Luigi Sacco

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Semantics of Point Spaces Through the Topological Weighted Centroid and Other Mathematical Quantities: Theory and Applications

Data Mining Applications Using Artificial Adaptive Systems ◽

10.1007/978-1-4614-4223-3_4 ◽

2012 ◽

pp. 75-139

Author(s):

Massimo Buscema ◽

Marco Breda ◽

Enzo Grossi ◽

Luigi Catzola ◽

Pier Luigi Sacco

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Meta Net: A New Meta-Classifier Family

Data Mining Applications Using Artificial Adaptive Systems ◽

10.1007/978-1-4614-4223-3_5 ◽

2012 ◽

pp. 141-182 ◽

Cited By ~ 5

Author(s):

Massimo Buscema ◽

William J. Tastle ◽

Stefano Terzi

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Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation

Data Mining Applications Using Artificial Adaptive Systems ◽

10.1007/978-1-4614-4223-3_8 ◽

2012 ◽

pp. 231-275 ◽

Cited By ~ 1

Author(s):

Massimo Buscema ◽

Pier Luigi Sacco ◽

Enzo Grossi ◽

Weldon A. Lodwick

Keyword(s):

Systematic Approach ◽

Diffusion Models ◽

Time And Space

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J-Net: An Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization

Data Mining Applications Using Artificial Adaptive Systems ◽

10.1007/978-1-4614-4223-3_2 ◽

2012 ◽

pp. 25-61

Author(s):

Massimo Buscema ◽

Roberto Passariello ◽

Enzo Grossi ◽

Giulia Massini ◽

Francesco Fraioli ◽

...

Keyword(s):

Adaptive System ◽

Lung Nodule ◽

Computer Aided Diagnosis ◽

Computer Aided ◽

Aided Diagnosis

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Population Algorithm: A New Method of Multi-Dimensional Scaling

Data Mining Applications Using Artificial Adaptive Systems ◽

10.1007/978-1-4614-4223-3_3 ◽

2012 ◽

pp. 63-74

Author(s):

Giulia Massini ◽

Stefano Terzi ◽

Massimo Buscema

Keyword(s):

New Method ◽

Dimensional Scaling ◽

Multi Dimensional Scaling

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Assessing Post-Radiotherapy Treatment Involving Brain Volume Differences in Children: An Application of Adaptive Systems Methodology

Data Mining Applications Using Artificial Adaptive Systems ◽

10.1007/978-1-4614-4223-3_1 ◽

2012 ◽

pp. 1-23 ◽

Cited By ~ 3

Author(s):

Massimo Buscema ◽

Francis Newman ◽

Giulia Massini ◽

Enzo Grossi ◽

William J. Tastle ◽

...

Keyword(s):

Adaptive Systems ◽

Brain Volume ◽

Systems Methodology ◽

Radiotherapy Treatment

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Data Mining Applications Using Artificial Adaptive SystemsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer New York

GUACAMOLE: A New Paradigm for Unsupervised Competitive Learning

Optimal Informational Sorting: The ACS-ULA Approach

Semantics of Point Spaces Through the Topological Weighted Centroid and Other Mathematical Quantities: Theory and Applications

Meta Net: A New Meta-Classifier Family

Spatiotemporal Mining: A Systematic Approach to Discrete Diffusion Models for Time and Space Extrapolation

J-Net: An Adaptive System for Computer-Aided Diagnosis in Lung Nodule Characterization

Population Algorithm: A New Method of Multi-Dimensional Scaling

Assessing Post-Radiotherapy Treatment Involving Brain Volume Differences in Children: An Application of Adaptive Systems Methodology

Data Mining Applications Using Artificial Adaptive Systems
Latest Publications