Conferences related to Classification tree analysis

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE Radar Conference (RadarConf20)

Annual IEEE Radar Conference

  • 1996 IEEE Radar Conference

  • 1997 IEEE Radar Conference

  • 1998 IEEE Radar Conference

  • 1999 IEEE Radar Conference

  • 2000 IEEE International Radar Conference

  • 2001 IEEE Radar Conference

  • 2002 IEEE Radar Conference

  • 2003 IEEE Radar Conference

  • 2004 IEEE Radar Conference

  • 2005 IEEE International Radar Conference

  • 2006 IEEE Radar Conference

  • 2007 IEEE Radar Conference

  • 2008 IEEE Radar Conference

    The 2008 IEEE Radar Conference will focus on the key aspects of radar theory and applications as listed below. Exploration of new avenues and methodologies of radar signal processing will also be encouraged. Tutorials will be held in a number of fields of radar technology. The Conference will cover all aspects of radar systems for civil, security and defense applications.

  • 2009 IEEE Radar Conference

    The conference's scope is civil and military radar, including science, technology, and systems. The theme for RADAR '09 is "Radar: From Science to Systems," emphasizing scientific or observational requirements and phenomenology that lead to the systems that we in the radar community develop.

  • 2010 IEEE International Radar Conference

    RADAR Systems, RADAR technology

  • 2011 IEEE Radar Conference (RadarCon)

    RadarCon11 will feature topics in radar systems, technology, applications, phenomenology,modeling, & signal processing. The conference theme, In the Eye of the Storm, highlights the strong regional interest in radar for severe weather analysis and tracking. Broader implications of the theme reflect global interests such as radar's role in assessing climate change, supporting myriad defense applications, as well as issues with spectrum allocation and management.

  • 2012 IEEE Radar Conference (RadarCon)

    The 2012 IEEE Radar Conference will host 400 to 600 attendees interested in innovations and developments in radar technology. The radar related topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, component advances, signal processing and data processing utilizing advanced algorithms. The conference will also include exhibits by vendors of radar systems, radar components, instrumentation, related software and publ

  • 2013 IEEE Radar Conference (RadarCon)

    The conference theme is The Arctic The New Frontier as it presents a vast and challenging environment for which radar systems operating in a multi-sensor environment are currently being developed for deployment on space, air, ship and ground platforms and for both remote sensing of the environment and for the monitoring of human activity. It is one of the major challenges and applications being pursued in the field of radar development in Canada.

  • 2014 IEEE Radar Conference (RadarCon)

    The 2014 IEEE Radar Conference will showcase innovations and developments in radar technology. Topics will include presentations describing developments in radar systems and their implementations, phenomenology, target and clutter modeling, signal processing, component advances, etc.

  • 2015 IEEE Radar Conference (RadarCon)

    The scope of the IEEE 2015 International Radar Conference includes all aspects of civil and military radar. Topics range from fundamental theory to cutting-edge applications, from signal processing, modeling, simulation to hardware implementation and experimental results.

  • 2016 IEEE Radar Conference (RadarCon)

    A continuing series of annual RADAR Conferences IEEE-AESS

  • 2017 IEEE Radar Conference (RadarCon)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems. This includes systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, and spaceborn realizations.

  • 2018 IEEE Radar Conference (RadarConf18)

    This conference will be a continuation of the annual IEEE radar series (formerly the IEEE National Radar conference). These conferences cover the many disciplines that span the applications of modern radar systems, including systems-level through subsystem and component technologies, antennas, and signal processing (deterministic and adaptive). The scope includes systems architectures of monostatic, bistatic and multistatic, and ground-based, airborne, shipborne, and spaceborne realizations.


2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.


ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.



Periodicals related to Classification tree analysis

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...



Most published Xplore authors for Classification tree analysis

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Xplore Articles related to Classification tree analysis

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Binary Trees for Classification, Regression, and Clustering, with Applications to Lossy Data Compression

Proceedings. IEEE International Symposium on Information Theory, 1993

This talk is a survey of binary tree-structured methods for classification, regression, survival analysis, and clustering. The discussion will include a survey of unifying themes, together with applications, and an introduction to mathematical issues that arise in studying their asymptotic properties. There will be special emphasis on the CAR/sup TM/ algorithms of Breiman et al., and on applications of the ...


A Splitting Theorem For Tree Construction

Proceedings. 1991 IEEE International Symposium on Information Theory, 1991

None


Software Engineering Data Analysis Techniques

Proceedings of the (19th) International Conference on Software Engineering, 1997

None


A Comparison Of Growing And Pruning Balanced And Unbalanced Tree-structured Vector Quantizers

Proceedings. 1991 IEEE International Symposium on Information Theory, 1991

None


A connectionist approach to generating oblique decision trees

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1999

Neural networks and decision tree methods are two common approaches to pattern classification. While neural networks can achieve high predictive accuracy rates, the decision boundaries they form are highly nonlinear and generally difficult to comprehend. Decision trees, on the other hand, can be readily translated into a set of rules. In this paper, we present a novel algorithm for generating ...



Educational Resources on Classification tree analysis

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IEEE.tv Videos

"What is Big Data Analytics and Why Should I Care?" - Big Data Analytics Tutorial Part 1
Computing Based on Material Training: Application to Binary Classification Problems - IEEE Rebooting Computing 2017
ICASSP 2012 Plenary-Dr. Stephane Mallat
Solving Sparse Representation for Image Classification using Quantum D-Wave 2X Machine - IEEE Rebooting Computing 2017
Robotics History: Narratives and Networks Oral Histories: Larry Matthies
Mads Nielsen - COVID-19, Deep Learning and Biomedical Imaging Panel
Playing Games with Computational Intelligence
Analytics for Anomaly detection & Classification | DSBC 2020
IMS 2011 Microapps - A Practical Approach to Verifying RFICs with Fast Mismatch Analysis
IMS MicroApps: Multi-Rate Harmonic Balance Analysis
IMS 2011 Microapps - Yield Analysis During EM Simulation
IMS 2012 Microapps - Improve Microwave Circuit Design Flow Through Passive Model Yield and Sensitivity Analysis
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware - Emre Neftci: 2016 International Conference on Rebooting Computing
Spectrum Analysis: RF Boot Camp
New Approach of Vehicle Electrification: Analysis of Performance and Implementation Issue
A Flexible Testbed for 5G Waveform Generation and Analysis: MicroApps 2015 - Keysight Technologies
Surgical Robotics: Analysis and Control Architecture for Semiautonomous Robotic Surgery
IMS 2012 Microapps - Generation and Analysis Techniques for Cost-efficient SATCOM Measurements Richard Overdorf, Agilent
Collaborative Filtering II
Similarity and Fuzzy Logic in Cluster Analysis

IEEE-USA E-Books

  • Binary Trees for Classification, Regression, and Clustering, with Applications to Lossy Data Compression

    This talk is a survey of binary tree-structured methods for classification, regression, survival analysis, and clustering. The discussion will include a survey of unifying themes, together with applications, and an introduction to mathematical issues that arise in studying their asymptotic properties. There will be special emphasis on the CAR/sup TM/ algorithms of Breiman et al., and on applications of the clustering algorithms to predictive, pruned, tree- structured vector quantization (predictive PTSVQ). The talk is a summary of collaborations with many authors over an eighteen year period.

  • A Splitting Theorem For Tree Construction

    None

  • Software Engineering Data Analysis Techniques

    None

  • A Comparison Of Growing And Pruning Balanced And Unbalanced Tree-structured Vector Quantizers

    None

  • A connectionist approach to generating oblique decision trees

    Neural networks and decision tree methods are two common approaches to pattern classification. While neural networks can achieve high predictive accuracy rates, the decision boundaries they form are highly nonlinear and generally difficult to comprehend. Decision trees, on the other hand, can be readily translated into a set of rules. In this paper, we present a novel algorithm for generating oblique decision trees that capitalizes on the strength of both approaches. Oblique decision trees classify the patterns by testing on linear combinations of the input attributes. As a result, an oblique decision tree is usually much smaller than the univariate tree generated for the same domain. Our algorithm consists of two components: connectionist and symbolic. A three- layer feedforward neural network is constructed and pruned, a decision tree is then built from the hidden unit activation values of the pruned network. An oblique decision tree is obtained by expressing the activation values using the original input attributes. We test our algorithm on a wide range of problems. The oblique decision trees generated by the algorithm preserve the high accuracy of the neural networks, while keeping the explicitness of decision trees. Moreover, they outperform univariate decision trees generated by the symbolic approach and oblique decision trees built by other approaches in accuracy and tree size.

  • Tree-based models for speech and language

    Several applications of statistical tree-based modelling are described to problems in speech and language, including prediction of possible phonetic realizations, segment duration modelling in speech synthesis and end of sentence detection in text analysis.

  • Using classification trees for software quality models: lessons learned

    High software reliability is an important attribute of high-assurance systems. Software quality models yield timely predictions of reliability indicators on a module-by-module basis, enabling one to focus on finding faults early in development. This paper introduces the CART (Classification And Regression Trees) algorithm to practitioners in high-assurance systems engineering. This paper presents practical lessons learned in building classification trees for software quality modeling, including an innovative way to control the balance between misclassification rates. A case study of a very large telecommunications system used CART to build software quality models. The models predicted whether or not modules would have faults discovered by customers, based on various sets of software product and process metrics as independent variables. We found that a model based on two software product metrics had an accuracy that was comparable to a model based on 40 product and process metrics.

  • Globally optimal fuzzy decision trees for classification and regression

    A fuzzy decision tree is constructed by allowing the possibility of partial membership of a point in the nodes that make up the tree structure. This extension of its expressive capabilities transforms the decision tree into a powerful functional approximant that incorporates features of connectionist methods, while remaining easily interpretable. Fuzzification is achieved by superimposing a fuzzy structure over the skeleton of a CART decision tree. A training rule for fuzzy trees, similar to backpropagation in neural networks, is designed. This rule corresponds to a global optimization algorithm that fixes the parameters of the fuzzy splits. The method developed for the automatic generation of fuzzy decision trees is applied to both classification and regression problems. In regression problems, it is seen that the continuity constraint imposed by the function representation of the fuzzy tree leads to substantial improvements in the quality of the regression and limits the tendency to overfitting. In classification, fuzzification provides a means of uncovering the structure of the probability distribution for the classification errors in attribute space. This allows the identification of regions for which the error rate of the tree is significantly lower than the average error rate, sometimes even below the Bayes misclassification rate.

  • Neurocomputations in relational systems

    Strong analogies between relational structures involving some composition operators and a certain class of neural networks are described. The problem of learning the connections of the structure is addressed, and relevant learning procedures are proposed. An optimized performance index which has a strong logical flavor is proposed. Some significant implementation details are studied. Numerical examples illustrate various schemes of learning in relational structures of different levels of complexity.<<ETX>>

  • Classification tree models of software quality over multiple releases

    Software quality models are tools for focusing software enhancement efforts. Such efforts are essential for mission-critical embedded software, such as telecommunications systems, because customer-discovered faults have very serious consequences and are very expensive to repair. We present an empirical study that evaluated software quality models over several releases to address the question, "How long will a model yield useful predictions?" We also introduce the Classification And Regression Trees (CART) algorithm to software reliability engineering practitioners. We present our method for exploiting CART features to achieve a preferred balance between the two types of misclassification rates. This is desirable because misclassifications of fault-prone modules often have much more severe consequences than misclassifications of those that are not fault-prone. We developed two classification-tree models based on four consecutive releases of a very large legacy telecommunications system. Forty-two software product, process, and execution metrics were candidate predictors. The first software quality model used measurements of the first release as the training data set and measurements of the subsequent three releases as evaluation data sets. The second model used measurements of the second release as the training data set and measurements of the subsequent two releases as evaluation data sets. Both models had accuracy that would be useful to developers.



Standards related to Classification tree analysis

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No standards are currently tagged "Classification tree analysis"