Mario Molinara

Orcid: 0000-0002-6144-0654

According to our database1, Mario Molinara authored at least 84 papers between 2001 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Transformer-based mass detection in digital mammograms.
J. Ambient Intell. Humaniz. Comput., March, 2023

SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain.
Comput., 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

Load Profile Analysis in Electrical Systems: The Impact of Electrical Signature and Monitoring Quality in the Energy Digitalization Process.
IEEE Trans. Instrum. Meas., 2023

Predicting physical activity levels from kinematic gait data using machine learning techniques.
Eng. Appl. Artif. Intell., 2023

Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform.
IEEE Access, 2023

EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time.
IEEE Access, 2023

A Statistical Approach for Electrochemical Impedance Spectroscopy Analysis on LFP Batteries' State of Charge.
Proceedings of the 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 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

A Novel Writer Identification Approach for Greek Papyri Images.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Using Genetic Programming to Learn Behavioral Models of Lithium Batteries.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

2022
Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection.
SN Comput. Sci., 2022

A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry.
Sensors, 2022

Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks.
Proceedings of the Artificial Life and Evolutionary Computation - 16th Italian Workshop, 2022

A new Dataset for Detection of Illegal or Suspicious Spilling in Wastewater through Low-cost Real-time Sensors.
Proceedings of the 2022 IEEE International Conference on Smart Computing, 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

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
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach.
IEEE J. Biomed. Health Informatics, 2021

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

HeGO, a Social Game as a Tool for Cultural Heritage Valorization: The Case Study of the Atina Historical Center.
ACM Journal on Computing and Cultural Heritage, 2021

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

A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
Pattern recognition and artificial intelligence techniques for cultural heritage.
Pattern Recognit. Lett., 2020

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

What is the minimum training data size to reliably identify writers in medieval manuscripts?
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

A multi-context CNN ensemble for small lesion detection.
Artif. Intell. Medicine, 2020

An End to End Indoor Air Monitoring System Based on Machine Learning and SENSIPLUS Platform.
IEEE Access, 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

2019
Contaminants detection and classification through a customized IoT-based platform: A case study.
IEEE Instrum. Meas. Mag., 2019

HeritageGO (HeGO): A Social Media Based Project for Cultural Heritage Valorization.
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 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

Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts.
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019

Using Handwriting Features to Characterize Cognitive Impairment.
Proceedings of the 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

Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study.
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

Metrological Characterization of a Novel Microsensor Platform for Activated Carbon Filters Monitoring.
IEEE Trans. Instrum. Meas., 2018

A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition.
Proceedings of the 2018 IEEE International Conference on Smart Computing, 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
Preliminary realization of a monitoring system of activated carbon filter RLI based on the SENSIPLUS® microsensor platform.
Proceedings of the IEEE International Workshop on Measurement and Networking, 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
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

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
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

Selection Strategies for pAUC-Based Combination of Dichotomizers.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 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

2009
Towards a Linear Combination of Dichotomizers by Margin Maximization.
Proceedings of the Image Analysis and Processing, 2009

2008
Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression.
IEEE Trans. Instrum. Meas., 2008

A Dynamic Programming approach for segmenting digital planar curves into line segments and circular arcs.
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
An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Facing Imbalanced Classes through Aggregation of Classifiers.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 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
SVM-based approach for instrument fault accomodation in automotive systems.
Proceedings of the IEEE International Conference on Virtual Environments, 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
Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003
Individuazione degli shot in filmati MPEG mediante un approccio multi-esperto.
PhD thesis, 2003

Automatic classification of clustered microcalcifications by a multiple expert system.
Pattern Recognit., 2003

2002
On the Applicability of the MultiAgent System Paradigm for Parsing Videos.
Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS-35 2002), 2002

2001
Multi agent systems for circuit tolerance and sensitivity analysis.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001


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