Improving character recognition rate by a multi-net neural classifier. - Luigi P. Cordella; Claudio De Stefano; Francesco Tortorella; Mario Vento (ICPR (2), 1992)

A method for the recognition of symbols on geographic maps. - Claudio De Stefano; Francesco Tortorella; Mario Vento (ICPR (1), 1992)

Using entropy for drawing reliable templates. - Claudio De Stefano; Francesco Tortorella; Mario Vento (ICDAR, 1993)

Can a sequential thinning algorithm be parallelized? - Antonio d'Acierno; Claudio De Stefano; Francesco Tortorella; Mario Vento (ICPR (3), 1994)

An entropy based method for extracting robust binary-templates. - Claudio De Stefano; Francesco Tortorella; Mario Vento (Mach. Vis. Appl., 1995)

A method for improving classification reliability of multilayer perceptrons. - Luigi P. Cordella; Claudio De Stefano; Francesco Tortorella; Mario Vento (IEEE Trans. Neural Networks, 1995)

A distance measure for structural descriptions using circular arcs as primitives. - Claudio De Stefano; Pasquale Foggia; Francesco Tortorella; Mario Vento (ICPR, 1996)

Character Recognition by Geometrical Moments on Structural Decompositions. - Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (ICDAR, 1997)

Classification Reliability and Its Use in Multi-classifier Systems. - Luigi P. Cordella; Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (ICIAP (1), 1997)

Graph matching: a fast algorithm and its evaluation. - Luigi P. Cordella; Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (ICPR, 1998)

Optimizing the Error/Reject Trade-Off for a Multi-Expert System Using the Bayesian Combining Rule. - Luigi P. Cordella; Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (SSPR/SPR, 1998)

Automatic Classification of Clustered Microcalcifications by a Multiple Expert System. - S. de Vito; Mario Vento; Francesco Tortorella (ICIAP, 1999)

Combining statistical and structural approaches for handwritten character description. - Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (Image Vis. Comput., 1999)

Definition and Validation of a Distance Measure Between Structural Primitives. - Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (Pattern Anal. Appl., 1999)

Multiclassification: reject criteria for the Bayesian combiner. - Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (Pattern Recognit., 1999)

Combining Experts with Different Features for Classifying Clustered Microcalcifications in Mammograms. - Luigi P. Cordella; Francesco Tortorella; Mario Vento (ICPR, 2000)

A Cascaded Multiple Expert System for Verification. - Luigi P. Cordella; Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (Multiple Classifier Systems, 2000)

An Optimal Reject Rule for Binary Classifiers. - Francesco Tortorella (SSPR/SPR, 2000)

Prototyping Structural Shape Descriptions by Inductive Learning. - Luigi P. Cordella; Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (IWVF, 2001)

Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System. - Pasquale Foggia; Carlo Sansone; Francesco Tortorella; Mario Vento (Multiple Classifier Systems, 2001)

A Classification Reliability Driven Reject Rule for Multi-Expert Systems. - Carlo Sansone; Francesco Tortorella; Mario Vento (Int. J. Pattern Recognit. Artif. Intell., 2001)

An empirical comparison of in-learning and post-learning optimization schemes for tuning the support vector machines in cost-sensitive applications. - Francesco Tortorella (ICIAP, 2003)

A ROC-Based Reject Rule for Support Vector Machines. - Francesco Tortorella (MLDM, 2003)

Automatic classification of clustered microcalcifications by a multiple expert system. - Massimo De Santo; Mario Molinara; Francesco Tortorella; Mario Vento (Pattern Recognit., 2003)

Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification. - Ciro D'Elia; Claudio Marrocco; Mario Molinara; Giovanni Poggi; Giuseppe Scarpa; Francesco Tortorella (ICPR (3), 2004)

A Method for Designing Cost-Sensitive ECOC. - Claudio Marrocco; Francesco Tortorella (Multiple Classifier Systems, 2004)

A Cost-Sensitive Paradigm for Multiclass to Binary Decomposition Schemes. - Claudio Marrocco; Francesco Tortorella (SSPR/SPR, 2004)

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

SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems. - Domenico Capriglione; Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP, 2005)

Estimating the ROC Curve of Linearly Combined Dichotomizers. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP, 2005)

Algorithms for Detecting Clusters of Microcalcifications in Mammograms. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP, 2005)

A ROC-based reject rule for dichotomizers. - Francesco Tortorella (Pattern Recognit. Lett., 2005)

AUC-Based Linear Combination of Dichotomizers. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (SSPR/SPR, 2006)

Exploiting AUC for optimal linear combinations of dichotomizers. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (Pattern Recognit. Lett., 2006)

Special issue on "ROC Analysis in Pattern Recognition". - Francesco Tortorella (Pattern Recognit. Lett., 2006)

Facing Imbalanced Classes through Aggregation of Classifiers. - Mario Molinara; Maria Teresa Ricamato; Francesco Tortorella (ICIAP, 2007)

Embedding Reject Option in ECOC Through LDPC Codes. - Claudio Marrocco; Paolo Simeone; Francesco Tortorella (MCS, 2007)

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (MLDM, 2007)

A Framework for Multiclass Reject in ECOC Classification Systems. - Claudio Marrocco; Paolo Simeone; Francesco Tortorella (SCIA, 2007)

Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach. - Ciro D'Elia; Claudio Marrocco; Mario Molinara; Francesco Tortorella (CBMS, 2008)

MCS-based balancing techniques for skewed classes: An empirical comparison. - Maria Teresa Ricamato; Claudio Marrocco; Francesco Tortorella (ICPR, 2008)

A Dynamic Programming approach for segmenting digital planar curves into line segments and circular arcs. - Francesco Tortorella; Rossella Patraccone; Mario Molinara (ICPR, 2008)

Exploring Margin Maximization for Biometric Score Fusion. - Claudio Marrocco; Maria Teresa Ricamato; Francesco Tortorella (SSPR/SPR, 2008)

A Fast Approach to Improve Classification Performance of ECOC Classification Systems. - Paolo Simeone; David M. J. Tax; Robert P. W. Duin; Francesco Tortorella (SSPR/SPR, 2008)

Maximizing the area under the ROC curve by pairwise feature combination. - Claudio Marrocco; Robert P. W. Duin; Francesco Tortorella (Pattern Recognit., 2008)

Towards a Linear Combination of Dichotomizers by Margin Maximization. - Claudio Marrocco; Mario Molinara; Maria Teresa Ricamato; Francesco Tortorella (ICIAP, 2009)

AUC-based Combination of Dichotomizers: Is Whole Maximization also Effective for Partial Maximization? - Maria Teresa Ricamato; Francesco Tortorella (ICPR, 2010)

Exploiting System Knowledge to Improve ECOC Reject Rules. - Paolo Simeone; Claudio Marrocco; Francesco Tortorella (ICPR, 2010)

Artificial immune systems for Artificial Olfaction data analysis: Comparison between AIRS and ANN models. - Saverio De Vito; Eugenio Martinelli; Raffaele Di Fuccio; Francesco Tortorella; Girolamo Di Francia; Arnaldo D'Amico; Corrado Di Natale (IJCNN, 2010)

A Linear Combination of Classifiers via Rank Margin Maximization. - Claudio Marrocco; Paolo Simeone; Francesco Tortorella (SSPR/SPR, 2010)

Combination of Dichotomizers for Maximizing the Partial Area under the ROC Curve. - Maria Teresa Ricamato; Francesco Tortorella (SSPR/SPR, 2010)

A computer-aided detection system for clustered microcalcifications. - Claudio Marrocco; Mario Molinara; Ciro D'Elia; Francesco Tortorella (Artif. Intell. Medicine, 2010)

Knowledge discovery and computer-based decision support in biomedicine. - Paolo Soda; Mykola Pechenizkiy; Francesco Tortorella; Alexey Tsymbal (Artif. Intell. Medicine, 2010)

A multidisciplinary approach to the design and development of a CAD system for the detection of clustered microcalcifications. - Claudio Marrocco; Mario Molinara; Francesco Tortorella; Alfredo Ferrarotti; Pierluigi Rinaldi; Lorenzo Bonomo; Cesare Aragno; Salvatore Schiano lo Moriello (CBMS, 2011)

Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP (1), 2011)

Shaping the Error-Reject Curve of Error Correcting Output Coding Systems. - Paolo Simeone; Claudio Marrocco; Francesco Tortorella (ICIAP (1), 2011)

A machine learning based algorithm for routing bandwidth-guaranteed paths in MPLS TE: Improvements and performance assessment. - Pasquale D'Andreti; Francesco Tortorella (M&N, 2011)

Selection Strategies for pAUC-Based Combination of Dichotomizers. - Maria Teresa Ricamato; Mario Molinara; Francesco Tortorella (MCS, 2011)

Two Stage Reject Rule for ECOC Classification Systems. - Paolo Simeone; Claudio Marrocco; Francesco Tortorella (MCS, 2011)

Partial AUC maximization in a linear combination of dichotomizers. - Maria Teresa Ricamato; Francesco Tortorella (Pattern Recognit., 2011)

On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve. - Claudio Marrocco; Mario Molinara; Francesco Tortorella (IEEE Trans. Syst. Man Cybern. Part B, 2011)

Detection of cluster of microcalcifications based on watershed segmentation algorithm. - Claudio Marrocco; Mario Molinara; Francesco Tortorella; Pierluigi Rinaldi; Lorenzo Bonomo; Alfredo Ferrarotti; Cesare Aragno; Salvatore Schiano lo Moriello (CBMS, 2012)

A ranking-based cascade approach for unbalanced data. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICPR, 2012)

Detecting Clusters of Microcalcifications with a Cascade-Based Approach. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2012)

Design of reject rules for ECOC classification systems. - Paolo Simeone; Claudio Marrocco; Francesco Tortorella (Pattern Recognit., 2012)

Trends in computer-based medical systems. - Paolo Soda; Sameer K. Antani; Francesco Tortorella; Mario Cannataro; Mykola Pechenizkiy; Alexey Tsymbal (SIGHIT Rec., 2012)

Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (AIME, 2013)

Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms. - Mario Molinara; Claudio Marrocco; Francesco Tortorella (CBMS, 2013)

A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography. - Mario Molinara; Claudio Marrocco; Francesco Tortorella (ICIAP (2), 2013)

A novel approach for detecting alerts in urban pollution monitoring with low cost sensors. - Carlo Sansone; Sabato Manfredi; Edmondo Di Tucci; Saverio De Vito; Grazia Fattoruso; Francesco Tortorella (M&N, 2013)

Coding Theory Tools for Improving Recognition Performance in ECOC Systems. - Claudio Marrocco; Paolo Simeone; Francesco Tortorella (MCS, 2013)

Bit Error Recovery in ECOC Systems through LDPC Codes. - Claudio Marrocco; Francesco Tortorella (ICPR, 2014)

Designing LDPC Codes for ECOC Classification Systems. - Claudio Marrocco; Francesco Tortorella (S+SSPR, 2014)

Learning from unbalanced data: A cascade-based approach for detecting clustered microcalcifications. - Alessandro Bria; Nico Karssemeijer; Francesco Tortorella (Medical Image Anal., 2014)

Deep Cascade Classifiers to Detect Clusters of Microcalcifications. - Alessandro Bria; Claudio Marrocco; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2016)

LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. - Alessandro Bria; Claudio Marrocco; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (Digital Mammography / IWDM, 2016)

An effective learning strategy for cascaded object detection. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (Inf. Sci., 2016)

Exploiting coding theory for classification: An LDPC-based strategy for multiclass-to-binary decomposition. - Claudio Marrocco; Francesco Tortorella (Inf. Sci., 2016)

The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. - Agnese Marchesi; Alessandro Bria; Claudio Marrocco; Mario Molinara; Jan-Jurre Mordang; Francesco Tortorella; Nico Karssemeijer (CBMS, 2017)

Illumination Correction by Dehazing for Retinal Vessel Segmentation. - Benedetta Savelli; Alessandro Bria; Adrian Galdran; Claudio Marrocco; Mario Molinara; Aurélio J. C. Campilho; Francesco Tortorella (CBMS, 2017)

Online Anomaly Detection on Rain Gauge Networks for Robust Alerting Services to Citizens at Risk from Flooding. - Grazia Fattoruso; Annalisa Agresta; Saverio De Vito; Antonio Buonanno; Mario Molinara; Claudio Marrocco; Francesco Tortorella; Girolamo Di Francia (ICCSA (3), 2017)

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. - Alessandro Bria; Claudio Marrocco; Adrian Galdran; Aurélio Campilho; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Mario Molinara; Francesco Tortorella (ICIAP (2), 2017)

Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. - Benedetta Savelli; Agnese Marchesi; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella (ICIAP (2), 2017)

Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. - Alessandro Bria; Claudio Marrocco; Mario Molinara; Benedetta Savelli; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IWBI, 2018)

Mammogram denoising to improve the calcification detection performance of convolutional nets. - Claudio Marrocco; Alessandro Bria; Valerio Di Sano; Lucas R. Borges; Benedetta Savelli; Mario Molinara; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IWBI, 2018)

A deep learning framework for micro-calcification detection in 2D mammography and C-view. - Giovanni Trovini; Christian Napoli 001; Robert Marti; Amaya Martin; Alessandro Bria; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Oliver Díaz (IWBI, 2018)

A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition. - Paolo Bruschi; Gianni Cerro; Lorenzo Colace; Andrea De Iacovo; Simone Del Cesta; Marco Ferdinandi; Luigi Ferrigno; Mario Molinara; Andrea Ria; Roberto Simmarano; Francesco Tortorella; Carlo Venettacci (SMARTCOMP, 2018)

Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. - Alessandro Bria; Claudio Marrocco; Lucas R. Borges; Mario Molinara; Agnese Marchesi; Jan-Jurre Mordang; Nico Karssemeijer; Francesco Tortorella (IEEE Trans. Medical Imaging, 2018)

Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. - Benedetta Savelli; Claudio Marrocco; Alessandro Bria; Mario Molinara; Francesco Tortorella (CAIP Workshops, 2019)

Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification. - Alessandro Bria; Claudio Marrocco; Francesco Tortorella (ICPR Workshops (1), 2020)

A multi-context CNN ensemble for small lesion detection. - Benedetta Savelli; Alessandro Bria; Mario Molinara; Claudio Marrocco; Francesco Tortorella (Artif. Intell. Medicine, 2020)

Addressing class imbalance in deep learning for small lesion detection on medical images. - Alessandro Bria; Claudio Marrocco; Francesco Tortorella (Comput. Biol. Medicine, 2020)

Trends in IoT based solutions for health care: Moving AI to the edge. - Luca Greco 001; Gennaro Percannella; Pierluigi Ritrovato; Francesco Tortorella; Mario Vento (Pattern Recognit. Lett., 2020)

Joint Intensity Classification and Specimen Segmentation on HEp-2 Images: a Deep Learning Approach. - Gennaro Percannella; Umberto Petruzzello; Pierluigi Ritrovato; Leonardo Rundo; Francesco Tortorella; Mario Vento (ICPR, 2022)

Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study. - Marya Ryspayeva; Mario Molinara; Alessandro Bria; Claudio Marrocco; Francesco Tortorella (ICPR Workshops (1), 2022)

The Role of Muscle and Tendon in Predicting Cartilage Degeneration and Tendinopathy. - Zakia Khatun; Mariella Tsirilaki; Alessia Lindemann; Francesco Tortorella; Nicola Maffulli; Halldór Jónsson Jr.; Paolo Gargiulo (MetroXRAINE, 2022)

Generative Data Augmentation of Human Biomechanics. - Halldór Kárason; Pierluigi Ritrovato; Nicola Maffulli; Francesco Tortorella (ICIAP Workshops (1), 2023)

Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. - Ruth Kehali Kassahun; Mario Molinara; Alessandro Bria; Claudio Marrocco; Francesco Tortorella (ICIAP Workshops (2), 2023)

Combined Data Augmentation for HEp-2 Cells Image Classification. - Gennaro Percannella; Umberto Petruzzello; Francesco Tortorella; Mario Vento (ICIAP Workshops (2), 2023)

Convolutional Networks and Transformers for Mammography Classification: An Experimental Study. - Marco Cantone; Claudio Marrocco; Francesco Tortorella; Alessandro Bria (Sensors, 2023)

Transformer-based mass detection in digital mammograms. - Amparo S. Betancourt Tarifa; Claudio Marrocco; Mario Molinara; Francesco Tortorella; Alessandro Bria (J. Ambient Intell. Humaniz. Comput., 2023)

Learnable DoG convolutional filters for microcalcification detection. - Marco Cantone; Claudio Marrocco; Francesco Tortorella; Alessandro Bria (Artif. Intell. Medicine, 2023)

Transformer Models for Enhanced Calcifications Detection in Mammography. - Marco Cantone; Claudio Marrocco; Francesco Tortorella; Alessandro Bria (ICPR (13), 2024)

Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. - Claudio Marrocco; Alessandro Bria; Francesco Tortorella; Sara Parrilli; Luca Cicala; Mariano Focareta; Giuseppe Meoli; Mario Molinara (IEEE Access, 2024)

Beyond pixel: Superpixel-based MRI segmentation through traditional machine learning and graph convolutional network. - Zakia Khatun; Halldór Jónsson Jr.; Mariella Tsirilaki; Nicola Maffulli; Francesco Oliva; Pauline Daval; Francesco Tortorella; Paolo Gargiulo (Comput. Methods Programs Biomed., 2024)

Wearable approaches for non-invasive monitoring of tendons: A scoping review. - Halldór Kárason; Pierluigi Ritrovato; Nicola Maffulli; Aldo R. Boccaccini; Francesco Tortorella (Internet Things, 2024)

Transfer learning in breast mass detection and classification. - Marya Ryspayeva; Alessandro Bria; Claudio Marrocco; Francesco Tortorella; Mario Molinara (J. Ambient Intell. Humaniz. Comput., 2024)

A Multi-task learning U-Net model for end-to-end HEp-2 cell image analysis. - Gennaro Percannella; Umberto Petruzzello; Francesco Tortorella; Mario Vento (Artif. Intell. Medicine, 2025)

Innovative Diagnostic Approaches for Predicting Knee Cartilage Degeneration in Osteoarthritis Patients: A Radiomics-Based Study. - Francesca Angelone; Federica Kiyomi Ciliberti; Giovanni Paolo Tobia; Halldór Jónsson Jr.; Alfonso Maria Ponsiglione; Magnús Kjartan Gíslason; Francesco Tortorella; Francesco Amato 001; Paolo Gargiulo (Inf. Syst. Frontiers, 2025)