Francesco Tortorella

Orcid: 0000-0002-5033-9323

According to our database1, Francesco Tortorella authored at least 102 papers between 1992 and 2023.

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

Timeline

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Bibliography

2023
Learnable DoG convolutional filters for microcalcification detection.
Artif. Intell. Medicine, September, 2023

Transformer-based mass detection in digital mammograms.
J. Ambient Intell. Humaniz. Comput., March, 2023

Convolutional Networks and Transformers for Mammography Classification: An Experimental Study.
Sensors, February, 2023

Combined Data Augmentation for HEp-2 Cells Image Classification.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Generative Data Augmentation of Human Biomechanics.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

2022
The Role of Muscle and Tendon in Predicting Cartilage Degeneration and Tendinopathy.
Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep Learning Approach.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020
Trends in IoT based solutions for health care: Moving AI to the edge.
Pattern Recognit. Lett., 2020

Addressing class imbalance in deep learning for small lesion detection on medical images.
Comput. Biol. Medicine, 2020

A multi-context CNN ensemble for small lesion detection.
Artif. Intell. Medicine, 2020

Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms.
Proceedings of the Computer Analysis of Images and Patterns, 2019

2018
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization.
IEEE Trans. Medical Imaging, 2018

A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition.
Proceedings of the 2018 IEEE International Conference on Smart Computing, 2018

A deep learning framework for micro-calcification detection in 2D mammography and C-view.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Mammogram denoising to improve the calcification detection performance of convolutional nets.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets.
Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017
Retinal Vessel Segmentation Through Denoising and Mathematical Morphology.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Online Anomaly Detection on Rain Gauge Networks for Robust Alerting Services to Citizens at Risk from Flooding.
Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Illumination Correction by Dehazing for Retinal Vessel Segmentation.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
Exploiting coding theory for classification: An LDPC-based strategy for multiclass-to-binary decomposition.
Inf. Sci., 2016

An effective learning strategy for cascaded object detection.
Inf. Sci., 2016

LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms.
Proceedings of the Breast Imaging, 2016

Deep Cascade Classifiers to Detect Clusters of Microcalcifications.
Proceedings of the Breast Imaging, 2016

2014
Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications.
Medical Image Anal., 2014

Designing LDPC Codes for ECOC Classification Systems.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Bit Error Recovery in ECOC Systems through LDPC Codes.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Coding Theory Tools for Improving Recognition Performance in ECOC Systems.
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

A novel approach for detecting alerts in urban pollution monitoring with low cost sensors.
Proceedings of the 2nd IEEE International Workshop on Measurements & Networking, 2013

A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications.
Proceedings of the Artificial Intelligence in Medicine, 2013

2012
Trends in computer-based medical systems.
SIGHIT Rec., 2012

Design of reject rules for ECOC classification systems.
Pattern Recognit., 2012

Detecting Clusters of Microcalcifications with a Cascade-Based Approach.
Proceedings of the Breast Imaging, 2012

A ranking-based cascade approach for unbalanced data.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Detection of cluster of microcalcifications based on watershed segmentation algorithm.
Proceedings of CBMS 2012, 2012

2011
On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Partial AUC maximization in a linear combination of dichotomizers.
Pattern Recognit., 2011

Two Stage Reject Rule for ECOC Classification Systems.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Selection Strategies for pAUC-Based Combination of Dichotomizers.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

A machine learning based algorithm for routing bandwidth-guaranteed paths in MPLS TE: Improvements and performance assessment.
Proceedings of the IEEE International Workshop on Measurement and Networking, 2011

Shaping the Error-Reject Curve of Error Correcting Output Coding Systems.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

A multidisciplinary approach to the design and development of a CAD system for the detection of clustered microcalcifications.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010
Knowledge discovery and computer-based decision support in biomedicine.
Artif. Intell. Medicine, 2010

A computer-aided detection system for clustered microcalcifications.
Artif. Intell. Medicine, 2010

Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve.
Proceedings of the Structural, 2010

A Linear Combination of Classifiers via Rank Margin Maximization.
Proceedings of the Structural, 2010

Artificial immune systems for Artificial Olfaction data analysis: Comparison between AIRS and ANN models.
Proceedings of the International Joint Conference on Neural Networks, 2010

Exploiting System Knowledge to Improve ECOC Reject Rules.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

AUC-based Combination of Dichotomizers: Is Whole Maximization also Effective for Partial Maximization?
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Towards a Linear Combination of Dichotomizers by Margin Maximization.
Proceedings of the Image Analysis and Processing, 2009

2008
Maximizing the area under the ROC curve by pairwise feature combination.
Pattern Recognit., 2008

A Fast Approach to Improve Classification Performance of ECOC Classification Systems.
Proceedings of the Structural, 2008

Exploring Margin Maximization for Biometric Score Fusion.
Proceedings of the Structural, 2008

A Dynamic Programming approach for segmenting digital planar curves into line segments and circular arcs.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

MCS-based balancing techniques for skewed classes: An empirical comparison.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007
A Framework for Multiclass Reject in ECOC Classification Systems.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Embedding Reject Option in ECOC Through LDPC Codes.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Facing Imbalanced Classes through Aggregation of Classifiers.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

2006
Special issue on "ROC Analysis in Pattern Recognition".
Pattern Recognit. Lett., 2006

Exploiting AUC for optimal linear combinations of dichotomizers.
Pattern Recognit. Lett., 2006

AUC-Based Linear Combination of Dichotomizers.
Proceedings of the Structural, 2006

2005
A ROC-based reject rule for dichotomizers.
Pattern Recognit. Lett., 2005

Algorithms for Detecting Clusters of Microcalcifications in Mammograms.
Proceedings of the Image Analysis and Processing, 2005

Estimating the ROC Curve of Linearly Combined Dichotomizers.
Proceedings of the Image Analysis and Processing, 2005

SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems.
Proceedings of the Image Analysis and Processing, 2005

2004
Reducing the classification cost of support vector classifiers through an ROC-based reject rule.
Pattern Anal. Appl., 2004

A Cost-Sensitive Paradigm for Multiclass to Binary Decomposition Schemes.
Proceedings of the Structural, 2004

A Method for Designing Cost-Sensitive ECOC.
Proceedings of the Multiple Classifier Systems, 5th International Workshop, 2004

Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Automatic classification of clustered microcalcifications by a multiple expert system.
Pattern Recognit., 2003

A ROC-Based Reject Rule for Support Vector Machines.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

An empirical comparison of in-learning and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

2001
A Classification Reliability Driven Reject Rule for Multi-Expert Systems.
Int. J. Pattern Recognit. Artif. Intell., 2001

Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

Prototyping Structural Shape Descriptions by Inductive Learning.
Proceedings of the Visual Form 2001, 4th International Workshop on Visual Form, 2001

2000
An Optimal Reject Rule for Binary Classifiers.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

A Cascaded Multiple Expert System for Verification.
Proceedings of the Multiple Classifier Systems, First International Workshop, 2000

Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Multiclassification: reject criteria for the Bayesian combiner.
Pattern Recognit., 1999

Definition and Validation of a Distance Measure Between Structural Primitives.
Pattern Anal. Appl., 1999

Combining statistical and structural approaches for handwritten character description.
Image Vis. Comput., 1999

Automatic Classification of Clustered Microcalcifications by a Multiple Expert System.
Proceedings of the 1oth International Conference on Image Analysis and Processing (ICIAP 1999), 1999

1998
Optimizing the Error/Reject Trade-Off for a Multi-Expert System Using the Bayesian Combining Rule.
Proceedings of the Advances in Pattern Recognition, 1998

Graph matching: a fast algorithm and its evaluation.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

1997
Classification Reliability and Its Use in Multi-classifier Systems.
Proceedings of the Image Analysis and Processing, 9th International Conference, 1997

Character Recognition by Geometrical Moments on Structural Decompositions.
Proceedings of the 4th International Conference Document Analysis and Recognition (ICDAR '97), 1997

1996
A distance measure for structural descriptions using circular arcs as primitives.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995
A method for improving classification reliability of multilayer perceptrons.
IEEE Trans. Neural Networks, 1995

An entropy based method for extracting robust binary-templates.
Mach. Vis. Appl., 1995

1994
Can a sequential thinning algorithm be parallelized?
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1993
Using entropy for drawing reliable templates.
Proceedings of the 2nd International Conference Document Analysis and Recognition, 1993

1992
A method for the recognition of symbols on geographic maps.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Improving character recognition rate by a multi-net neural classifier.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992


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