Claudio Marrocco

Orcid: 0000-0003-0840-7350

According to our database1, Claudio Marrocco authored at least 79 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
Transfer learning in breast mass detection and classification.
J. Ambient Intell. Humaniz. Comput., October, 2024

On the Cross-Dataset Generalization of Machine Learning for Network Intrusion Detection.
CoRR, 2024

GravityNet for end-to-end small lesion detection.
Artif. Intell. Medicine, 2024

Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach.
IEEE Access, 2024

Machine Learning in Network Intrusion Detection: A Cross-Dataset Generalization Study.
IEEE Access, 2024



Transformer Models for Enhanced Calcifications Detection in Mammography.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

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

An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform.
J. King Saud Univ. Comput. Inf. Sci., January, 2023

Gravity Network for end-to-end small lesion detection.
CoRR, 2023

End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 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

2022
An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 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

2021
Artificial intelligence for distributed smart systems.
Pattern Recognit. Lett., 2021

A False Positive Reduction System For Continuous Water Quality Monitoring.
Proceedings of the IEEE International Conference on Smart Computing, 2021

2020
An end-to-end deep learning system for medieval writer identification.
Pattern Recognit. Lett., 2020

An IoT-ready solution for automated recognition of water contaminants.
Pattern Recognit. Lett., 2020

An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents.
J. Imaging, 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

A Preliminary Solution for Anomaly Detection in Water Quality Monitoring.
Proceedings of the IEEE International Conference on Smart Computing, 2020

Deep Transfer Learning for Alzheimer's disease detection.
Proceedings of the 25th International Conference on Pattern Recognition, 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
A Novel Smart System for Contaminants Detection and Recognition in Water.
Proceedings of the IEEE International Conference on Smart Computing, 2019

A Page-Based Reject Option for Writer Identification in Medieval Books.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

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

A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books.
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 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
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 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
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

Two Stage Reject Rule for ECOC Classification Systems.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 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
A computer-aided detection system for clustered microcalcifications.
Artif. Intell. Medicine, 2010

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

Exploiting System Knowledge to Improve ECOC Reject Rules.
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

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

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
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
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


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