Claudio Marrocco personal page

Claudio Marrocco

Telephone : +3907762993381

Email : c.marrocco@unicas.it

ASSISTANT PROFESSOR SSD: ING-INF/05

2020 - An IoT-ready solution for automated recognition of water contaminants

2018 - Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets

2018 - Mammogram denoising to improve the calcification detection performance of convolutional nets

2018 - A deep learning framework for micro-calcification detection in 2D mammography and C-view

2018 - A Sensor Fusion Method Applied to Networked Rain Gauges for Defining Statistically Based Rainfall Thresholds for Landslide Triggering

2017 - Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets

2017 - Retinal Vessel Segmentation Through Denoising and Mathematical Morphology

2017 - The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks

2017 - Illumination Correction by Dehazing for Retinal Vessel Segmentation

2017 - Online Anomaly Detection on Rain Gauge Networks for Robust Alerting Services to Citizens at Risk from Flooding

2017 - Evaluation and design of a rain gauge network using a statistical optimization method in a severe hydro-geological hazard prone area

2016 - LUT-QNE: Look-up-table quantum noise equalization in digital mammograms

2016 - Deep cascade classifiers to detect clusters of microcalcifications

2016 - An effective learning strategy for cascaded object detection

2015 - Optimal Sensors Placement for Flood Forecasting Modelling

2014 - Designing LDPC Codes for ECOC Classification Systems.

2013 - Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms.

2013 - Coding Theory Tools for Improving Recognition Performance in ECOC Systems

2013 - Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications.

2013 - A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography.

2012 - Detecting Clusters of Microcalcifications with a Cascade-Based Approach.

2012 - Design of reject rules for ECOC classification systems.

2012 - Detection of cluster of microcalci?cations based on watershed segmentation algorithm

2011 - On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve.

2011 - Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications

2011 - A multidisciplinary approach to the design and development of a CAD system for the detection of clustered microcalcifications

2010 - Exploiting System Knowledge to Improve ECOC Reject Rules

2010 - A Linear Combination of Classifiers via Rank Margin Maximization

2010 - A computer-aided detection system for clustered microcalcifications

2009 - Towards a Linear Combination of Dichotomizers by Margin Maximization

2008 - Exploring Margin Maximization for Biometric Score Fusion

2008 - Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach

2008 - MCS-based balancing techniques for skewed classes: An empirical comparison

2008 - Maximizing the area under the ROC curve by pairwise feature combination

2007 - An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules

2007 - Embedding Reject Option in ECOC Through LDPC Codes

2007 - A Framework for Multiclass Reject in ECOC Classification Systems

2006 - Exploiting AUC for Optimal Linear Combination of Dichotomizers

2006 - AUC-Based Linear Combination of Dichotomizers

2005 - Algorithms for Detecting Clusters of Microcalcifications in Mammograms

2005 - Estimating the ROC Curve of Linearly Combined Dichotomizers

2005 - SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems

2004 - Detection of Microcalcifications Clusters in Mammograms through TS MRF Segmentation and SVM based Classification