Claudio Marrocco

Amparo S. Betancourt Tarifa

CoRR, 2024

2023

Learnable DoG convolutional filters for microcalcification detection.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, September, 2023

Transformer-based mass detection in digital mammograms.

[BibT_eX]

[DOI]

J. Ambient Intell. Humaniz. Comput., March, 2023

Convolutional Networks and Transformers for Mammography Classification: An Experimental Study.

[BibT_eX]

[DOI]

Sensors, February, 2023

An end-to-end real-time pollutants spilling recognition in wastewater based on the IoT-ready SENSIPLUS platform.

[BibT_eX]

[DOI]

J. King Saud Univ. Comput. Inf. Sci., January, 2023

Gravity Network for end-to-end small lesion detection.

[BibT_eX]

[DOI]

Ciro Russo

CoRR, 2023

End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Smart Computing, 2022

Seamless Iterative Semi-supervised Correction of Imperfect Labels in Microscopy Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021

Artificial intelligence for distributed smart systems.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2021

A False Positive Reduction System For Continuous Water Quality Monitoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Computing, 2021

2020

An end-to-end deep learning system for medieval writer identification.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

An IoT-ready solution for automated recognition of water contaminants.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

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

[BibT_eX]

[DOI]

J. Imaging, 2020

Addressing class imbalance in deep learning for small lesion detection on medical images.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2020

A multi-context CNN ensemble for small lesion detection.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2020

A Preliminary Solution for Anomaly Detection in Water Quality Monitoring.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Computing, 2020

Deep Transfer Learning for Alzheimer's disease detection.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019

A Novel Smart System for Contaminants Detection and Recognition in Water.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Smart Computing, 2019

A Page-Based Reject Option for Writer Identification in Medieval Books.

[BibT_eX]

[DOI]

Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

A deep learning framework for micro-calcification detection in 2D mammography and C-view.

[BibT_eX]

[DOI]

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Mammogram denoising to improve the calcification detection performance of convolutional nets.

[BibT_eX]

[DOI]

Proceedings of the 14th International Workshop on Breast Imaging, 2018

Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets.

[BibT_eX]

[DOI]

Proceedings of the 14th International Workshop on Breast Imaging, 2018

2017

Retinal Vessel Segmentation Through Denoising and Mathematical Morphology.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

Illumination Correction by Dehazing for Retinal Vessel Segmentation.

[BibT_eX]

[DOI]

Aurélio J. C. Campilho

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Inf. Sci., 2016

An effective learning strategy for cascaded object detection.

[BibT_eX]

[DOI]

Inf. Sci., 2016

LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms.

[BibT_eX]

[DOI]

Proceedings of the Breast Imaging, 2016

Deep Cascade Classifiers to Detect Clusters of Microcalcifications.

[BibT_eX]

[DOI]

Proceedings of the Breast Imaging, 2016

2014

Designing LDPC Codes for ECOC Classification Systems.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014

Bit Error Recovery in ECOC Systems through LDPC Codes.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Coding Theory Tools for Improving Recognition Performance in ECOC Systems.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Medicine, 2013

2012

Design of reject rules for ECOC classification systems.

[BibT_eX]

[DOI]

Salvatore Schiano lo Moriello

Pattern Recognit., 2012

Detecting Clusters of Microcalcifications with a Cascade-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Breast Imaging, 2012

A ranking-based cascade approach for unbalanced data.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Detection of cluster of microcalcifications based on watershed segmentation algorithm.

[BibT_eX]

[DOI]

Proceedings of CBMS 2012, 2012

2011

On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

Two Stage Reject Rule for ECOC Classification Systems.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Shaping the Error-Reject Curve of Error Correcting Output Coding Systems.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications.

[BibT_eX]

[DOI]

Salvatore Schiano lo Moriello

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.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010

A computer-aided detection system for clustered microcalcifications.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2010

A Linear Combination of Classifiers via Rank Margin Maximization.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2010

Exploiting System Knowledge to Improve ECOC Reject Rules.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009

Towards a Linear Combination of Dichotomizers by Margin Maximization.

[BibT_eX]

[DOI]

Maria Teresa Ricamato

Proceedings of the Image Analysis and Processing, 2009

2008

Maximizing the area under the ROC curve by pairwise feature combination.

[BibT_eX]

[DOI]

Robert P. W. Duin

Pattern Recognit., 2008

Exploring Margin Maximization for Biometric Score Fusion.

[BibT_eX]

[DOI]

Maria Teresa Ricamato

Proceedings of the Structural, 2008

MCS-based balancing techniques for skewed classes: An empirical comparison.

[BibT_eX]

[DOI]

Maria Teresa Ricamato

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach.

[BibT_eX]

[DOI]

Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

2007

A Framework for Multiclass Reject in ECOC Classification Systems.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Embedding Reject Option in ECOC Through LDPC Codes.

[BibT_eX]

[DOI]

Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

2006

Exploiting AUC for optimal linear combinations of dichotomizers.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2006

AUC-Based Linear Combination of Dichotomizers.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

2005

Algorithms for Detecting Clusters of Microcalcifications in Mammograms.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing, 2005

Estimating the ROC Curve of Linearly Combined Dichotomizers.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing, 2005

SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing, 2005

2004

A Cost-Sensitive Paradigm for Multiclass to Binary Decomposition Schemes.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2004

A Method for Designing Cost-Sensitive ECOC.

[BibT_eX]

[DOI]