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Francesco Tortorella personal page
Francesco Tortorella
Telephone : +3907762993605
Email :
tortorella@unicas.it
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Publications
Research
FULL PROFESSOR SSD: ING-INF/05
ECOC1
ECOC
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.
ECOC