Francesco Tortorella personal page

Francesco Tortorella

Telephone : +3907762993605

Email : tortorella@unicas.it

FULL PROFESSOR SSD: ING-INF/05

Bit Error Recovery in ECOC Systems through LDPC Codes.

Designing LDPC Codes for ECOC Classification Systems.

Partial AUC maximization in a linear combination of dichotomizers

AUC-based Combination of Dichotomizers: Is Whole Maximization also Effective for Partial Maximization?

Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve

Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications.

A Framework for Multiclass Reject in ECOC Classification Systems

Embedding Reject Option in ECOC Through LDPC Codes

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules

Facing Imbalanced Classes through Aggregation of Classifiers

Maximizing the area under the ROC curve by pairwise feature combination

MCS-based balancing techniques for skewed classes: An empirical comparison

Exploring Margin Maximization for Biometric Score Fusion

A Linear Combination of Classifiers via Rank Margin Maximization

Exploiting System Knowledge to Improve ECOC Reject Rules

Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications

On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve.

Design of reject rules for ECOC classification systems.

A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography.

Coding Theory Tools for Improving Recognition Performance in ECOC Systems

Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms.

A computer-aided detection system for clustered microcalcifications

Towards a Linear Combination of Dichotomizers by Margin Maximization

Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach

Detecting Clusters of Microcalcifications with a Cascade-Based Approach.

Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications.