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)

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)

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)

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)

Exploring Margin Maximization for Biometric Score Fusion. - Claudio Marrocco; Maria Teresa Ricamato; 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)

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

A Linear Combination of Classifiers via Rank Margin Maximization. - Claudio Marrocco; Paolo Simeone; 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)

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)

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

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)

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)

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)

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)

A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (CAIP (2), 2019)

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

A Page-Based Reject Option for Writer Identification in Medieval Books. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (ICIAP Workshops, 2019)

A Novel Smart System for Contaminants Detection and Recognition in Water. - Marco Ferdinandi; Mario Molinara; Gianni Cerro; Luigi Ferrigno; Claudio Marrocco; Alessandro Bria; Pino Di Meo; Carmine Bourelly; Roberto Simmarano (SMARTCOMP, 2019)

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

Deep Transfer Learning for Alzheimer's disease detection. - Nicole Dalia Cilia; Claudio De Stefano; Claudio Marrocco; Francesco Fontanella; Mario Molinara; Alessandra Scotto di Freca (ICPR, 2020)

A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. - Carmine Bourelly; Alessandro Bria; Luigi Ferrigno; Luca Gerevini; Claudio Marrocco; Mario Molinara; Gianni Cerro; Mattia Cicalini; Andrea Ria (SMARTCOMP, 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)

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (J. Imaging, 2020)

An IoT-ready solution for automated recognition of water contaminants. - Alessandro Bria; Gianni Cerro; Marco Ferdinandi; Claudio Marrocco; Mario Molinara (Pattern Recognit. Lett., 2020)

An end-to-end deep learning system for medieval writer identification. - Nicole Dalia Cilia; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Pattern Recognit. Lett., 2020)

A False Positive Reduction System For Continuous Water Quality Monitoring. - Alessandro Bria; Luigi Ferrigno; Luca Gerevini; Claudio Marrocco; Mario Molinara; Paolo Bruschi; Mattia Cicalini; Giuseppe Manfredini; Andrea Ria; Gianni Cerro; Roberto Simmarano; Giovanni Teolis; et al. (SMARTCOMP, 2021)

Artificial intelligence for distributed smart systems. - Mario Molinara; Alessandro Bria; Saverio De Vito; Claudio Marrocco (Pattern Recognit. Lett., 2021)

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)

Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images. - Marawan Elbatel; Christina Bornberg; Manasi Kattel; Enrique Almar; Claudio Marrocco; Alessandro Bria (DART@MICCAI, 2022)

An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform. - Alessandro Bria; Luigi Ferrigno; Claudio Marrocco; Mario Molinara; Michele Vitelli; Andrea Ria; Mattia Cicalini; Giuseppe Manfredini; Paolo Bruschi (SMARTCOMP, 2022)

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)

End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network. - Cesare Davide Pace; Alessandro Bria; Mariano Focareta; Gabriele Lozupone; Claudio Marrocco; Giuseppe Meoli; Mario Molinara (ICIAP (1), 2023)

Gravity Network for end-to-end small lesion detection. - Ciro Russo; Alessandro Bria; Claudio Marrocco (CoRR, 2023)

An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform. - Luca Gerevini; Gianni Cerro; Alessandro Bria; Claudio Marrocco; Luigi Ferrigno; Michele Vitelli; Andrea Ria; Mario Molinara (J. King Saud Univ. Comput. Inf. Sci., 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)

Pathologic Complete Response Prediction with Machine Learning Using Hierarchical Attention Feature Extraction. - Domenico Paolo; Ciro Russo; Giulio Russo; Carlo Greco; Alessio Cortellini; Marco Russano; Sara Ramella; Paolo Soda; Claudio Marrocco; Alessandro Bria; Rosa Sicilia (ICPR (Workshops and Challenges, 2), 2024)

A Pixel-Based Anchor Approach for Nuclei Detection in Cervical Cytology Imaging. - Ciro Russo; Yusuf B. Tanriverdi; Alessandro Bria; Claudio Marrocco (ICPR (Workshops and Challenges, 2), 2024)

UniCas for Medicine and Healthcare. - Marco Cantone; Svonko Galasso; Gabriele Lozupone; Emanuele Nardone; Cesare Davide Pace; Ciro Russo; Alessandro Bria; Tiziana D'Alessandro; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; et al. (Ital-IA, 2024)

UniCas for Industry. - Alessio Miele; Hamza Mustafa; Michele Vitelli; Alessandro Bria; Claudio De Stefano; Francesco Fontanella; Claudio Marrocco; Mario Molinara; Alessandra Scotto di Freca (Ital-IA, 2024)

Machine Learning in Network Intrusion Detection: A Cross-Dataset Generalization Study. - Marco Cantone; Claudio Marrocco; Alessandro Bria (IEEE Access, 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)

GravityNet for end-to-end small lesion detection. - Ciro Russo; Alessandro Bria; Claudio Marrocco (Artif. Intell. Medicine, 2024)

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection. - Marco Cantone; Claudio Marrocco; Alessandro Bria (CoRR, 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 Two-Stage Deep Learning Approach for Large Vessel Occlusion Detection and Volume Assessment. - Ciro Russo; Giulio Russo; Arnau Oliver; Xavier Lladó; Mikel Terceño; Yolanda Silva; Alessandro Bria; Claudio Marrocco (CBMS, 2025)