Mario Molinara
Orcid: 0000-0002-6144-0654
According to our database1,
Mario Molinara
authored at least 92 papers
between 2001 and 2024.
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Bibliography
2024
J. Ambient Intell. Humaniz. Comput., October, 2024
Profiling Running Applications in Connected Devices Through Side-Channel and Machine Learning Techniques.
IEEE Access, 2024
Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach.
IEEE Access, 2024
IEEE Access, 2024
Proceedings of the Ital-IA Intelligenza Artificiale, 2024
A Deep Learning System for Water Pollutant Detection Based on the SENSIPLUS Microsensor.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the 14th IEEE International Workshop on Applied Measurements for Power Systems, 2024
2023
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
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023
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
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
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
Proceedings of the IEEE International Conference on Smart Computing, 2021
Proceedings of the Applications of Evolutionary Computation, 2021
2020
Pattern Recognit. Lett., 2020
Pattern Recognit. Lett., 2020
What is the minimum training data size to reliably identify writers in medieval manuscripts?
Pattern Recognit. Lett., 2020
Pattern Recognit. Lett., 2020
An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents.
J. Imaging, 2020
Artif. Intell. Medicine, 2020
An End to End Indoor Air Monitoring System Based on Machine Learning and SENSIPLUS Platform.
IEEE Access, 2020
Proceedings of the IEEE International Conference on Smart Computing, 2020
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
Proceedings of the Adjunct Publication of the 27th Conference on User Modeling, 2019
Proceedings of the IEEE International Conference on Smart Computing, 2019
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019
Proceedings of the New Trends in Image Analysis and Processing - ICIAP 2019, 2019
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
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
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
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
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
Proceedings of the Breast Imaging, 2016
Proceedings of the Breast Imaging, 2016
2013
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
Proceedings of the Artificial Intelligence in Medicine, 2013
2012
Proceedings of the Breast Imaging, 2012
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
IEEE Trans. Syst. Man Cybern. Part B, 2011
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011
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
Artif. Intell. Medicine, 2010
2009
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
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
2006
Pattern Recognit. Lett., 2006
2005
Proceedings of the IEEE International Conference on Virtual Environments, 2005
Proceedings of the Image Analysis and Processing, 2005
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
PhD thesis, 2003
Automatic classification of clustered microcalcifications by a multiple expert system.
Pattern Recognit., 2003
2002
Proceedings of the 35th Hawaii International Conference on System Sciences (HICSS-35 2002), 2002
2001
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001