|
Records |
Links |
|
Author |
Aura Hernandez-Sabate; Debora Gil; David Roche; Monica M. S. Matsumoto; Sergio S. Furuie |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
|
|
Title |
Inferring the Performance of Medical Imaging Algorithms |
Type |
Conference Article |
|
Year |
2011 |
Publication |
14th International Conference on Computer Analysis of Images and Patterns |
Abbreviated Journal |
|
|
|
Volume |
6854 |
Issue |
|
Pages |
520-528 |
|
|
Keywords |
Validation, Statistical Inference, Medical Imaging Algorithms. |
|
|
Abstract |
Evaluation of the performance and limitations of medical imaging algorithms is essential to estimate their impact in social, economic or clinical aspects. However, validation of medical imaging techniques is a challenging task due to the variety of imaging and clinical problems involved, as well as, the difficulties for systematically extracting a reliable solely ground truth. Although specific validation protocols are reported in any medical imaging paper, there are still two major concerns: definition of standardized methodologies transversal to all problems and generalization of conclusions to the whole clinical data set.
We claim that both issues would be fully solved if we had a statistical model relating ground truth and the output of computational imaging techniques. Such a statistical model could conclude to what extent the algorithm behaves like the ground truth from the analysis of a sampling of the validation data set. We present a statistical inference framework reporting the agreement and describing the relationship of two quantities. We show its transversality by applying it to validation of two different tasks: contour segmentation and landmark correspondence. |
|
|
Address |
Sevilla |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
Springer-Verlag Berlin Heidelberg |
Place of Publication |
Berlin |
Editor |
Pedro Real; Daniel Diaz-Pernil; Helena Molina-Abril; Ainhoa Berciano; Walter Kropatsch |
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
L |
Abbreviated Series Title |
LNCS |
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
CAIP |
|
|
Notes |
IAM; ADAS |
Approved ![sorted by Approved field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
no |
|
|
Call Number |
IAM @ iam @ HGR2011 |
Serial |
1676 |
|
Permanent link to this record |
|
|
|
|
Author |
David Roche; Debora Gil; Jesus Giraldo |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find book details (via ISBN) isbn](http://refbase.cvc.uab.es/img/isbn.gif)
|
|
Title |
An inference model for analyzing termination conditions of Evolutionary Algorithms |
Type |
Conference Article |
|
Year |
2011 |
Publication |
14th Congrès Català en Intel·ligencia Artificial |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
216-225 |
|
|
Keywords |
Evolutionary Computation Convergence, Termination Conditions, Statistical Inference |
|
|
Abstract |
In real-world problems, it is mandatory to design a termination condition for Evolutionary Algorithms (EAs) ensuring stabilization close to the unknown optimum. Distribution-based quantities are good candidates as far as suitable parameters are used. A main limitation for application to real-world problems is that such parameters strongly depend on the topology of the objective function, as well as, the EA paradigm used.
We claim that the termination problem would be fully solved if we had a model measuring to what extent a distribution-based quantity asymptotically behaves like the solution accuracy. We present a regression-prediction model that relates any two given quantities and reports if they can be statistically swapped as termination conditions. Our framework is applied to two issues. First, exploring if the parameters involved in the computation of distribution-based quantities influence their asymptotic behavior. Second, to what extent existing distribution-based quantities can be asymptotically exchanged for the accuracy of the EA solution. |
|
|
Address |
Lleida, Catalonia (Spain) |
|
|
Corporate Author |
Associació Catalana Intel·ligència Artificial |
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
978-1-60750-841-0 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
CCIA |
|
|
Notes |
IAM |
Approved ![sorted by Approved field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
no |
|
|
Call Number |
IAM @ iam @ RGG2011a |
Serial |
1677 |
|
Permanent link to this record |
|
|
|
|
Author |
David Roche; Debora Gil; Jesus Giraldo |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
|
|
Title |
Using statistical inference for designing termination conditions ensuring convergence of Evolutionary Algorithms |
Type |
Conference Article |
|
Year |
2011 |
Publication |
11th European Conference on Artificial Life |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
|
|
|
Keywords |
|
|
|
Abstract |
A main challenge in Evolutionary Algorithms (EAs) is determining a termination condition ensuring stabilization close to the optimum in real-world applications. Although for known test functions distribution-based quantities are good candidates (as far as suitable parameters are used), in real-world problems an open question still remains unsolved. How can we estimate an upper-bound for the termination condition value ensuring a given accuracy for the (unknown) EA solution?
We claim that the termination problem would be fully solved if we defined a quantity (depending only on the EA output) behaving like the solution accuracy. The open question would be, then, satisfactorily answered if we had a model relating both quantities, since accuracy could be predicted from the alternative quantity. We present a statistical inference framework addressing two topics: checking the correlation between the two quantities and defining a regression model for predicting (at a given confidence level) accuracy values from the EA output. |
|
|
Address |
Paris, France |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ECAL |
|
|
Notes |
IAM; |
Approved ![sorted by Approved field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
no |
|
|
Call Number |
IAM @ iam @ RGG2011b |
Serial |
1678 |
|
Permanent link to this record |
|
|
|
|
Author |
David Roche; Debora Gil; Jesus Giraldo |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
|
|
Title |
Assessing agonist efficacy in an uncertain Em world |
Type |
Conference Article |
|
Year |
2012 |
Publication |
40th Keystone Symposia on mollecular and celular biology |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
79 |
|
|
Keywords |
|
|
|
Abstract |
The operational model of agonism has been widely used for the analysis of agonist action since its formulation in 1983. The model includes the Em parameter, which is defined as the maximum response of the system. The methods for Em estimation provide Em values not significantly higher than the maximum responses achieved by full agonists. However, it has been found that that some classes of compounds as, for instance, superagonists and positive allosteric modulators can increase the full agonist maximum response, implying upper limits for Em and thereby posing doubts on the validity of Em estimates. Because of the correlation between Em and operational efficacy, τ, wrong Em estimates will yield wrong τ estimates.
In this presentation, the operational model of agonism and various methods for the simulation of allosteric modulation will be analyzed. Alternatives for curve fitting will be presented and discussed. |
|
|
Address |
Fairmont Banff Springs, Banff, Alberta, Canada |
|
|
Corporate Author |
Keystone Symposia |
Thesis |
|
|
|
Publisher |
Keystone Symposia |
Place of Publication |
|
Editor |
A. Christopoulus and M. Bouvier |
|
|
Language |
english |
Summary Language |
english |
Original Title |
|
|
|
Series Editor |
Keystone Symposia |
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
KSMCB |
|
|
Notes |
IAM |
Approved ![sorted by Approved field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
no |
|
|
Call Number |
IAM @ iam @ RGG2012 |
Serial |
1855 |
|
Permanent link to this record |
|
|
|
|
Author |
David Roche; Debora Gil; Jesus Giraldo |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find book details (via ISBN) isbn](http://refbase.cvc.uab.es/img/isbn.gif)
|
|
Title |
Detecting loss of diversity for an efficient termination of EAs |
Type |
Conference Article |
|
Year |
2013 |
Publication |
15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
561 - 566 |
|
|
Keywords |
EA termination; EA population diversity; EA steady state |
|
|
Abstract |
Termination of Evolutionary Algorithms (EA) at its steady state so that useless iterations are not performed is a main point for its efficient application to black-box problems. Many EA algorithms evolve while there is still diversity in their population and, thus, they could be terminated by analyzing the behavior some measures of EA population diversity. This paper presents a numeric approximation to steady states that can be used to detect the moment EA population has lost its diversity for EA termination. Our condition has been applied to 3 EA paradigms based on diversity and a selection of functions
covering the properties most relevant for EA convergence.
Experiments show that our condition works regardless of the search space dimension and function landscape. |
|
|
Address |
Timisoara; Rumania; |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
978-1-4799-3035-7 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
SYNASC |
|
|
Notes |
IAM; 600.044; 600.060; 605.203 |
Approved ![sorted by Approved field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
no |
|
|
Call Number |
Admin @ si @ RGG2013c |
Serial |
2299 |
|
Permanent link to this record |