Annabella Astorino

Orcid: 0000-0002-3439-180X

According to our database1, Annabella Astorino authored at least 31 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Ellipsoidal classification via semidefinite programming.
Oper. Res. Lett., March, 2023

Partitional clustering via successive transportation problems.
Oper. Res. Lett., January, 2023

Maximum-margin polyhedral separation for binary Multiple Instance Learning.
EURO J. Comput. Optim., January, 2023

2022
A maximum-margin multisphere approach for binary Multiple Instance Learning.
Eur. J. Oper. Res., 2022

2021
Polyhedral separation via difference of convex (DC) programming.
Soft Comput., 2021

A Lagrangean relaxation approach to lifetime maximization of directional sensor networks.
Networks, 2021

2020
Spherical separation with infinitely far center.
Soft Comput., 2020

Early Detection of Eating Disorders Through Machine Learning Techniques.
Proceedings of the Learning and Intelligent Optimization - 14th International Conference, 2020

2019
A Lagrangian Relaxation Approach for Binary Multiple Instance Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

SVM-Based Multiple Instance Classification via DC Optimization.
Algorithms, 2019

Multiple Instance Learning Algorithm for Medical Image Classification.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

2018
A Multiple Instance Learning Algorithm for Color Images Classification.
Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018

2017
A DC optimization-based clustering technique for edge detection.
Optim. Lett., 2017

Malicious URL detection via spherical classification.
Neural Comput. Appl., 2017

A method for convex minimization based on translated first-order approximations.
Numer. Algorithms, 2017

On a recent algorithm for multiple instance learning. Preliminary applications in image classification.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
The Proximal Trajectory Algorithm in SVM Cross Validation.
IEEE Trans. Neural Networks Learn. Syst., 2016

Optimizing sensor cover energy via DC programming.
Optim. Lett., 2016

Central axes and peripheral points in high dimensional directional datasets.
Comput. Optim. Appl., 2016

2015
Support Vector Machine Polyhedral Separability in Semisupervised Learning.
J. Optim. Theory Appl., 2015

2014
An illumination problem: optimal apex and optimal orientation for a cone of light.
J. Glob. Optim., 2014

Edge detection by spherical separation.
Comput. Manag. Sci., 2014

2013
A Nonmonotone Proximal Bundle Method with (Potentially) Continuous Step Decisions.
SIAM J. Optim., 2013

2012
Margin maximization in spherical separation.
Comput. Optim. Appl., 2012

2011
Piecewise-quadratic Approximations in Convex Numerical Optimization.
SIAM J. Optim., 2011

2010
Scaling up support vector machines using nearest neighbor condensation.
IEEE Trans. Neural Networks, 2010

DC models for spherical separation.
J. Glob. Optim., 2010

2009
A fixed-center spherical separation algorithm with kernel transformations for classification problems.
Comput. Manag. Sci., 2009

2008
Non-smoothness in classification problems.
Optim. Methods Softw., 2008

2007
Nonsmooth Optimization Techniques for Semisupervised Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

2005
Ellipsoidal separation for classification problems.
Optim. Methods Softw., 2005


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