Mario Molinara personal page

Mario Molinara

Telephone : +3907762994357

Email : m.molinara@unicas.it

ASSISTANT PROFESSOR SSD: ING-INF/05

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

2018 - Metrological characterization of a novel microsensor platform for activated carbon filters monitoring

2018 - A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition

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 - Preliminary realization of a monitoring system of activated carbon filter RLI based on the SENSIPLUS® microsensor platform

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 - Design of a smart EIS measurement system

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

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

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 - 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

2011 - Selection Strategies for pAUC-Based Combination of Dichotomizers

2010 - A computer-aided detection system for clustered microcalcifications

2009 - Towards a Linear Combination of Dichotomizers by Margin Maximization

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

2008 - Crack Shape Reconstruction in Eddy Current Testing using Machine Learning Systems for Regression

2008 - A Dynamic Programming Approach for Segmenting Digital Planar Curves into Line Segments and Circular Arcs

2007 - Facing Imbalanced Classes through Aggregation of Classifiers

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

2006 - Exploiting AUC for Optimal Linear Combination of Dichotomizers

2006 - An SVM Approach to Crack Shape Reconstruction in Eddy Current Testing

2006 - AUC-Based Linear Combination of Dichotomizers

2005 - SVM-based approach for instrument fault accommodation in automotive systems

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

2003 - An Automatic Learning Contents Selector Based on Metadata Standards

2003 - MPEG-LAB MOVIE TOOL: AN INTEGRATED AND DISTRIBUTED ENVIRONMENT FOR MPEG VIDEO ANALYSIS

2003 - Noisy motion vectors removal for reliable camera parameters estimation in mpeg coded videos

2003 - Automatic Classification of Clustered Microcalcifications by a Multiple Expert System

2002 - On the applicability of the Multi Agent System Paradigm for Parsing Videos

2001 - Multi Agent Systems for Circuit Tolerance and sensitivity analysis