Mario Molinara

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 56

Top Topics

Writer Identification

Water Pollution

Top Venues

Pattern Recognit. Lett.

Publications

Claudio Marrocco, Alessandro Bria, Francesco Tortorella, Sara Parrilli, Luca Cicala, Mariano Focareta, Giuseppe Meoli, Mario Molinara
Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. IEEE Access 12 (2024)
Amparo S. Betancourt Tarifa, Claudio Marrocco, Mario Molinara, Francesco Tortorella, Alessandro Bria
Transformer-based mass detection in digital mammograms. J. Ambient Intell. Humaniz. Comput. 14 (3) (2023)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello, Mario Molinara, Alessandra Scotto di Freca
A Novel Writer Identification Approach for Greek Papyri Images. ICIAP Workshops (2) (2023)
Svonko Galasso, Renato Baptista, Mario Molinara, Serena Pizzocaro, Rocco Salvatore Calabrò, Alessandro Marco De Nunzio
Predicting physical activity levels from kinematic gait data using machine learning techniques. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Luca Tari, Carmine Bourelly, Michele Vitelli, Filippo Milano, Mario Molinara, Luigi Ferrigno
A Statistical Approach for Electrochemical Impedance Spectroscopy Analysis on LFP Batteries' State of Charge. MetroInd4.0&IoT (2023)
Luca Gerevini, Gianni Cerro, Alessandro Bria, Claudio Marrocco, Luigi Ferrigno, Michele Vitelli, Andrea Ria, Mario Molinara
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. 35 (1) (2023)
Luca Tari, Mario Molinara, Luigi Ferrigno
Load Profile Analysis in Electrical Systems: The Impact of Electrical Signature and Monitoring Quality in the Energy Digitalization Process. IEEE Trans. Instrum. Meas. 72 (2023)
Carmine Bourelly, Michele Vitelli, Filippo Milano, Mario Molinara, Francesco Fontanella, Luigi Ferrigno
EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time. IEEE Access 11 (2023)
Kevin Roitero, Beatrice Portelli, Giuseppe Serra, Vincenzo Della Mea, Stefano Mizzaro, Gianni Cerro, Michele Vitelli, Mario Molinara
Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. IEEE Access 11 (2023)
Michele Vitelli, Gianni Cerro, Luca Gerevini, Gianfranco Miele, Andrea Ria, Mario Molinara
SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain. Comput. 12 (2) (2023)
Cesare Davide Pace, Alessandro Bria, Mariano Focareta, Gabriele Lozupone, Claudio Marrocco, Giuseppe Meoli, Mario Molinara
End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network. ICIAP (1) (2023)
Ruth Kehali Kassahun, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella
Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. ICIAP Workshops (2) (2023)
Mario Molinara, Rocco Cancelliere, Alessio Di Tinno, Luigi Ferrigno, Mikhail V. Shuba, Polina Kuzhir, Antonio Maffucci, Laura Micheli
A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry. Sensors 22 (20) (2022)
Mario Molinara, Carmine Bourelly, Luigi Ferrigno, Luca Gerevini, Michele Vitelli, Andrea Ria, F. Magliocca, L. Ruscitti, Roberto Simmarano, A. Trynda, P. Olejnik
A new Dataset for Detection of Illegal or Suspicious Spilling in Wastewater through Low-cost Real-time Sensors. SMARTCOMP (2022)
Marya Ryspayeva, Mario Molinara, Alessandro Bria, Claudio Marrocco, Francesco Tortorella
Transfer Learning in Breast Mass Detection on the OMI-DB Dataset: A Preliminary Study. ICPR Workshops (1) (2022)
Alessandro Bria, Luigi Ferrigno, Claudio Marrocco, Mario Molinara, Michele Vitelli, Andrea Ria, Mattia Cicalini, Giuseppe Manfredini, Paolo Bruschi
An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform. SMARTCOMP (2022)
Giulia Di Capua, Mario Molinara, Francesco Fontanella, Claudio De Stefano, Nunzio Oliva, Nicola Femia
Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks. WIVACE (2022)
Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Mario Molinara
Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection. SN Comput. Sci. 3 (2) (2022)
Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Mario Molinara
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. IEEE J. Biomed. Health Informatics 25 (12) (2021)
Francesco Fontanella, Mario Molinara, Arturo Gallozzi, Michela Cigola, Luca J. Senatore, Riccardo Florio, Paolo Clini, Flavio Celis D'Amico
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 14 (2) (2021)
Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella, Luca Gerevini, Mario Molinara
A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. EvoApplications (2021)
Alessandro Bria, Luigi Ferrigno, Luca Gerevini, Claudio Marrocco, Mario Molinara, Paolo Bruschi, Mattia Cicalini, Giuseppe Manfredini, Andrea Ria, Gianni Cerro, Roberto Simmarano, Giovanni Teolis, Michele Vitelli
A False Positive Reduction System For Continuous Water Quality Monitoring. SMARTCOMP (2021)
Mario Molinara, Alessandro Bria, Saverio De Vito, Claudio Marrocco
Artificial intelligence for distributed smart systems. Pattern Recognit. Lett. 142 (2021)
Alessandro Bria, Gianni Cerro, Marco Ferdinandi, Claudio Marrocco, Mario Molinara
An IoT-ready solution for automated recognition of water contaminants. Pattern Recognit. Lett. 135 (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
What is the minimum training data size to reliably identify writers in medieval manuscripts? Pattern Recognit. Lett. 129 (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
An end-to-end deep learning system for medieval writer identification. Pattern Recognit. Lett. 129 (2020)
Francesco Fontanella, Francesco Colace, Mario Molinara, Alessandra Scotto di Freca, Filippo Stanco
Pattern recognition and artificial intelligence techniques for cultural heritage. Pattern Recognit. Lett. 138 (2020)
Nicole Dalia Cilia, Claudio De Stefano, Claudio Marrocco, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
Deep Transfer Learning for Alzheimer's disease detection. ICPR (2020)
Benedetta Savelli, Alessandro Bria, Mario Molinara, Claudio Marrocco, Francesco Tortorella
A multi-context CNN ensemble for small lesion detection. Artif. Intell. Medicine 103 (2020)
Carmine Bourelly, Alessandro Bria, Luigi Ferrigno, Luca Gerevini, Claudio Marrocco, Mario Molinara, Gianni Cerro, Mattia Cicalini, Andrea Ria
A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. SMARTCOMP (2020)
Mario Molinara, Marco Ferdinandi, Gianni Cerro, Luigi Ferrigno, Ettore Massera
An End to End Indoor Air Monitoring System Based on Machine Learning and SENSIPLUS Platform. IEEE Access 8 (2020)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. J. Imaging 6 (9) (2020)
Francesco Fontanella, Mario Molinara, Arturo Gallozzi, Michela Cigola, Luca J. Senatore, Riccardo Florio, Paolo Clini, Flavio Celis D'Amico
HeritageGO (HeGO): A Social Media Based Project for Cultural Heritage Valorization. UMAP (Adjunct Publication) (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
Using Handwriting Features to Characterize Cognitive Impairment. ICIAP (2) (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books. CAIP (2) (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study. CAIP (2) (2019)
Giovanni Betta, Gianni Cerro, Marco Ferdinandi, Luigi Ferrigno, Mario Molinara
Contaminants detection and classification through a customized IoT-based platform: A case study. IEEE Instrum. Meas. Mag. 22 (6) (2019)
Benedetta Savelli, Claudio Marrocco, Alessandro Bria, Mario Molinara, Francesco Tortorella
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. CAIP Workshops (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca
A Page-Based Reject Option for Writer Identification in Medieval Books. ICIAP Workshops (2019)
Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Mario Molinara, Alessandra Scotto di Freca
Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts. ICIAP Workshops (2019)
Marco Ferdinandi, Mario Molinara, Gianni Cerro, Luigi Ferrigno, Claudio Marrocco, Alessandro Bria, Pino Di Meo, Carmine Bourelly, Roberto Simmarano
A Novel Smart System for Contaminants Detection and Recognition in Water. SMARTCOMP (2019)
Claudio Marrocco, Alessandro Bria, Valerio Di Sano, Lucas R. Borges, Benedetta Savelli, Mario Molinara, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
Mammogram denoising to improve the calcification detection performance of convolutional nets. IWBI (2018)
Paolo Bruschi, Gianni Cerro, Lorenzo Colace, Andrea De Iacovo, Simone Del Cesta, Marco Ferdinandi, Luigi Ferrigno, Mario Molinara, Andrea Ria, Roberto Simmarano, Francesco Tortorella, Carlo Venettacci
A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition. SMARTCOMP (2018)
Alessandro Bria, Claudio Marrocco, Lucas R. Borges, Mario Molinara, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. IEEE Trans. Medical Imaging 37 (8) (2018)
Giovanni Trovini, Christian Napoli, Robert Marti, Amaya Martin, Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella, Oliver Díaz
A deep learning framework for micro-calcification detection in 2D mammography and C-view. IWBI (2018)
Gianni Cerro, Marco Ferdinandi, Luigi Ferrigno, Marco Laracca, Mario Molinara
Metrological Characterization of a Novel Microsensor Platform for Activated Carbon Filters Monitoring. IEEE Trans. Instrum. Meas. 67 (10) (2018)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Benedetta Savelli, Jan-Jurre Mordang, Nico Karssemeijer, Francesco Tortorella
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. IWBI (2018)
Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Jan-Jurre Mordang, Francesco Tortorella, Nico Karssemeijer
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. CBMS (2017)
Benedetta Savelli, Alessandro Bria, Adrian Galdran, Claudio Marrocco, Mario Molinara, Aurélio J. C. Campilho, Francesco Tortorella
Illumination Correction by Dehazing for Retinal Vessel Segmentation. CBMS (2017)
Alessandro Bria, Claudio Marrocco, Adrian Galdran, Aurélio Campilho, Agnese Marchesi, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. ICIAP (2) (2017)
Gianni Cerro, Marco Ferdinandi, Luigi Ferrigno, Mario Molinara
Preliminary realization of a monitoring system of activated carbon filter RLI based on the SENSIPLUS® microsensor platform. M&N (2017)
Benedetta Savelli, Agnese Marchesi, Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. ICIAP (2) (2017)
Grazia Fattoruso, Annalisa Agresta, Saverio De Vito, Antonio Buonanno, Mario Molinara, Claudio Marrocco, Francesco Tortorella, Girolamo Di Francia
Online Anomaly Detection on Rain Gauge Networks for Robust Alerting Services to Citizens at Risk from Flooding. ICCSA (3) (2017)
Alessandro Bria, Claudio Marrocco, Jan-Jurre Mordang, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. Digital Mammography / IWDM (2016)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
An effective learning strategy for cascaded object detection. Inf. Sci. (2016)
Alessandro Bria, Claudio Marrocco, Nico Karssemeijer, Mario Molinara, Francesco Tortorella
Deep Cascade Classifiers to Detect Clusters of Microcalcifications. Digital Mammography / IWDM (2016)
Giulia Di Capua, Carmine Bourelly, Claudio De Stefano, Francesco Fontanella, Filippo Milano, Mario Molinara, Nunzio Oliva, Francesco Porpora
Using Genetic Programming to Learn Behavioral Models of Lithium Batteries. EvoApplications@EvoStar (2013)
Mario Molinara, Claudio Marrocco, Francesco Tortorella
A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography. ICIAP (2) (2013)
Mario Molinara, Claudio Marrocco, Francesco Tortorella
Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms. CBMS (2013)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. AIME (2013)
Claudio Marrocco, Mario Molinara, Francesco Tortorella, Pierluigi Rinaldi, Lorenzo Bonomo, Alfredo Ferrarotti, Cesare Aragno, Salvatore Schiano lo Moriello
Detection of cluster of microcalcifications based on watershed segmentation algorithm. CBMS (2012)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
Detecting Clusters of Microcalcifications with a Cascade-Based Approach. Digital Mammography / IWDM (2012)
Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella
A ranking-based cascade approach for unbalanced data. ICPR (2012)
Claudio Marrocco, Mario Molinara, Francesco Tortorella
On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve. IEEE Trans. Syst. Man Cybern. Part B 41 (3) (2011)
Claudio Marrocco, Mario Molinara, Francesco Tortorella
Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications. ICIAP (1) (2011)
Maria Teresa Ricamato, Mario Molinara, Francesco Tortorella
Selection Strategies for pAUC-Based Combination of Dichotomizers. MCS (2011)
Claudio Marrocco, Mario Molinara, Francesco Tortorella, Alfredo Ferrarotti, Pierluigi Rinaldi, Lorenzo Bonomo, Cesare Aragno, Salvatore Schiano lo Moriello
A multidisciplinary approach to the design and development of a CAD system for the detection of clustered microcalcifications. CBMS (2011)
Claudio Marrocco, Mario Molinara, Ciro D'Elia, Francesco Tortorella
A computer-aided detection system for clustered microcalcifications. Artif. Intell. Medicine 50 (1) (2010)
Claudio Marrocco, Mario Molinara, Maria Teresa Ricamato, Francesco Tortorella
Towards a Linear Combination of Dichotomizers by Margin Maximization. ICIAP (2009)
Francesco Tortorella, Rossella Patraccone, Mario Molinara
A Dynamic Programming approach for segmenting digital planar curves into line segments and circular arcs. ICPR (2008)
Ciro D'Elia, Claudio Marrocco, Mario Molinara, Francesco Tortorella
Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach. CBMS (2008)
Andrea Bernieri, Luigi Ferrigno, Marco Laracca, Mario Molinara
Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression. IEEE Trans. Instrum. Meas. 57 (9) (2008)
Claudio Marrocco, Mario Molinara, Francesco Tortorella
An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules. MLDM (2007)
Mario Molinara, Maria Teresa Ricamato, Francesco Tortorella
Facing Imbalanced Classes through Aggregation of Classifiers. ICIAP (2007)
Claudio Marrocco, Mario Molinara, Francesco Tortorella
Exploiting AUC for optimal linear combinations of dichotomizers. Pattern Recognit. Lett. 27 (8) (2006)
Claudio Marrocco, Mario Molinara, Francesco Tortorella
AUC-Based Linear Combination of Dichotomizers. SSPR/SPR (2006)
Domenico Capriglione, Claudio Marrocco, Mario Molinara, Francesco Tortorella
SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems. ICIAP (2005)
Claudio Marrocco, Mario Molinara, Francesco Tortorella
Estimating the ROC Curve of Linearly Combined Dichotomizers. ICIAP (2005)
Giovanni Betta, Andrea Bernieri, Domenico Capriglione, Mario Molinara
SVM-based approach for instrument fault accomodation in automotive systems. VECIMS (2005)
Claudio Marrocco, Mario Molinara, Francesco Tortorella
Algorithms for Detecting Clusters of Microcalcifications in Mammograms. ICIAP (2005)
Ciro D'Elia, Claudio Marrocco, Mario Molinara, Giovanni Poggi, Giuseppe Scarpa, Francesco Tortorella
Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification. ICPR (3) (2004)
Massimo De Santo, Mario Molinara, Francesco Tortorella, Mario Vento
Automatic classification of clustered microcalcifications by a multiple expert system. Pattern Recognit. 36 (7) (2003)
Massimo De Santo, Mario Molinara, Gennaro Percannella
On the Applicability of the MultiAgent System Paradigm for Parsing Videos. HICSS (2002)
Massimo De Santo, Nicola Femia, Mario Molinara, Giovanni Spagnuolo
Multi agent systems for circuit tolerance and sensitivity analysis. ISCAS (5) (2001)