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Mario Molinara
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2020 – today
- 2024
- [j32]Claudio Marrocco
, Alessandro Bria
Illegal Microdumps Detection in Multi-Mission Satellite Images With Deep Neural Network and Transfer Learning Approach. IEEE Access 12: 79585-79601 (2024) - [j31]Svonko Galasso
A Novel Measurement Procedure for Error Correction in Single Camera Gait Analysis. IEEE Access 12: 158052-158064 (2024) - [j30]Vincenzo Rega
Profiling Running Applications in Connected Devices Through Side-Channel and Machine Learning Techniques. IEEE Access 12: 170923-170935 (2024) - [j29]Marya Ryspayeva, Alessandro Bria, Claudio Marrocco, Francesco Tortorella, Mario Molinara:
Transfer learning in breast mass detection and classification. J. Ambient Intell. Humaniz. Comput. 15(10): 3587-3602 (2024) - [c59]Alessio Miele, Michele Vitelli, Alessandro Sardellitti, Filippo Milano, Mario Molinara, Luigi Ferrigno, Fabrizio Ciancetta, Simone Mari:
Comparative Analysis of SoC Estimation in Batteries Using SFRA and EIS. AMPS 2024: 1-6 - [c58]Hamza Mustafa, Mario Molinara, Luigi Ferrigno, Michele Vitelli:
A Deep Learning System for Water Pollutant Detection Based on the SENSIPLUS Microsensor. ICPR (23) 2024: 192-203 - [c57]Alessio Miele, Hamza Mustafa, Michele Vitelli, Alessandro Bria, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
UniCas for Industry. Ital-IA 2024: 253-258 - [c56]Marco Cantone, Svonko Galasso, Gabriele Lozupone, Emanuele Nardone, Cesare Davide Pace, Ciro Russo, Alessandro Bria, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Claudio Marrocco, Mario Molinara, Alessandra Scotto di Freca:
UniCas for Medicine and Healthcare. Ital-IA 2024: 330-335 - 2023
- [j28]Kevin Roitero
Detection of Wastewater Pollution Through Natural Language Generation With a Low-Cost Sensing Platform. IEEE Access 11: 50272-50284 (2023) - [j27]Carmine Bourelly
EIS-Based SoC Estimation: A Novel Measurement Method for Optimizing Accuracy and Measurement Time. IEEE Access 11: 91472-91484 (2023) - [j26]Michele Vitelli
SENSIPLUS-LM: A Low-Cost EIS-Enabled Microchip Enhanced with an Open-Source Tiny Machine Learning Toolchain. Comput. 12(2): 23 (2023) - [j25]Svonko Galasso
Predicting physical activity levels from kinematic gait data using machine learning techniques. Eng. Appl. Artif. Intell. 123(Part C): 106487 (2023) - [j24]Amparo S. Betancourt Tarifa, Claudio Marrocco, Mario Molinara
Transformer-based mass detection in digital mammograms. J. Ambient Intell. Humaniz. Comput. 14(3): 2723-2737 (2023) - [j23]Luca Gerevini, Gianni Cerro, Alessandro Bria, Claudio Marrocco, Luigi Ferrigno, Michele Vitelli
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): 499-513 (2023) - [j22]Luca Tari
Load Profile Analysis in Electrical Systems: The Impact of Electrical Signature and Monitoring Quality in the Energy Digitalization Process. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c55]Giulia Di Capua
Using Genetic Programming to Learn Behavioral Models of Lithium Batteries. EvoApplications@EvoStar 2023: 461-474 - [c54]Ruth Kehali Kassahun
Breast Mass Detection and Classification Using Transfer Learning on OPTIMAM Dataset Through RadImageNet Weights. ICIAP Workshops (2) 2023: 71-82 - [c53]Cesare Davide Pace
End-to-End Asbestos Roof Detection on Orthophotos Using Transformer-Based YOLO Deep Neural Network. ICIAP (1) 2023: 232-244 - [c52]Nicole Dalia Cilia, Tiziana D'Alessandro, Claudio De Stefano, Francesco Fontanella, Isabelle Marthot-Santaniello
A Novel Writer Identification Approach for Greek Papyri Images. ICIAP Workshops (2) 2023: 422-436 - [c51]Luca Tari
A Statistical Approach for Electrochemical Impedance Spectroscopy Analysis on LFP Batteries' State of Charge. MetroInd4.0&IoT 2023: 421-426 - 2022
- [j21]Mario Molinara
A Deep Learning Approach to Organic Pollutants Classification Using Voltammetry. Sensors 22(20): 8032 (2022) - [j20]Claudio De Stefano, Luigi Ferrigno, Francesco Fontanella
Evolutionary Computation to Implement an IoT-Based System for Water Pollution Detection. SN Comput. Sci. 3(2): 111 (2022) - [c50]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: 529-538 - [c49]Alessandro Bria, Luigi Ferrigno, Claudio Marrocco
An Open Source C Code Generator and a Tiny Machine Learning Toolchain for the SENSIPLUS Platform. SMARTCOMP 2022: 263-268 - [c48]Mario Molinara, Carmine Bourelly, Luigi Ferrigno, Luca Gerevini, Michele Vitelli
A new Dataset for Detection of Illegal or Suspicious Spilling in Wastewater through Low-cost Real-time Sensors. SMARTCOMP 2022: 293-298 - [c47]Giulia Di Capua
Modeling of Ferrite Inductors Power Loss Based on Genetic Programming and Neural Networks. WIVACE 2022: 245-253 - 2021
- [j19]Francesco Fontanella
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): 12:1-12:16 (2021) - [j18]Mario Molinara, Alessandro Bria, Saverio De Vito, Claudio Marrocco
Artificial intelligence for distributed smart systems. Pattern Recognit. Lett. 142: 48-50 (2021) - [j17]Nicole Dalia Cilia, Tiziana D'Alessandro
From Online Handwriting to Synthetic Images for Alzheimer's Disease Detection Using a Deep Transfer Learning Approach. IEEE J. Biomed. Health Informatics 25(12): 4243-4254 (2021) - [c46]Claudio De Stefano
A Novel Evolutionary Approach for IoT-Based Water Contaminant Detection. EvoApplications 2021: 781-794 - [c45]Alessandro Bria, Luigi Ferrigno, Luca Gerevini, Claudio Marrocco
A False Positive Reduction System For Continuous Water Quality Monitoring. SMARTCOMP 2021: 311-316 - 2020
- [j16]Mario Molinara
An End to End Indoor Air Monitoring System Based on Machine Learning and SENSIPLUS Platform. IEEE Access 8: 72204-72215 (2020) - [j15]Benedetta Savelli, Alessandro Bria, Mario Molinara, Claudio Marrocco
A multi-context CNN ensemble for small lesion detection. Artif. Intell. Medicine 103: 101749 (2020) - [j14]Nicole Dalia Cilia
An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents. J. Imaging 6(9): 89 (2020) - [j13]Nicole Dalia Cilia
An end-to-end deep learning system for medieval writer identification. Pattern Recognit. Lett. 129: 137-143 (2020) - [j12]Nicole Dalia Cilia
What is the minimum training data size to reliably identify writers in medieval manuscripts? Pattern Recognit. Lett. 129: 198-204 (2020) - [j11]Alessandro Bria
An IoT-ready solution for automated recognition of water contaminants. Pattern Recognit. Lett. 135: 188-195 (2020) - [j10]Francesco Fontanella, Francesco Colace, Mario Molinara, Alessandra Scotto di Freca
Pattern recognition and artificial intelligence techniques for cultural heritage. Pattern Recognit. Lett. 138: 23-29 (2020) - [c44]Nicole Dalia Cilia, Claudio De Stefano
Deep Transfer Learning for Alzheimer's disease detection. ICPR 2020: 9904-9911 - [c43]Carmine Bourelly, Alessandro Bria, Luigi Ferrigno, Luca Gerevini, Claudio Marrocco
A Preliminary Solution for Anomaly Detection in Water Quality Monitoring. SMARTCOMP 2020: 410-415
2010 – 2019
- 2019
- [j9]Giovanni Betta
Contaminants detection and classification through a customized IoT-based platform: A case study. IEEE Instrum. Meas. Mag. 22(6): 35-44 (2019) - [c42]Benedetta Savelli, Claudio Marrocco
Combining Convolutional Neural Networks for Multi-context Microcalcification Detection in Mammograms. CAIP Workshops 2019: 36-44 - [c41]Nicole Dalia Cilia
Handwriting Analysis to Support Alzheimer's Disease Diagnosis: A Preliminary Study. CAIP (2) 2019: 143-151 - [c40]Nicole Dalia Cilia
A Two-Step System Based on Deep Transfer Learning for Writer Identification in Medieval Books. CAIP (2) 2019: 305-316 - [c39]Nicole Dalia Cilia
A Page-Based Reject Option for Writer Identification in Medieval Books. ICIAP Workshops 2019: 187-197 - [c38]Nicole Dalia Cilia
Minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts. ICIAP Workshops 2019: 198-208 - [c37]Nicole Dalia Cilia
Using Handwriting Features to Characterize Cognitive Impairment. ICIAP (2) 2019: 683-693 - [c36]Marco Ferdinandi, Mario Molinara, Gianni Cerro
A Novel Smart System for Contaminants Detection and Recognition in Water. SMARTCOMP 2019: 186-191 - [c35]Francesco Fontanella
HeritageGO (HeGO): A Social Media Based Project for Cultural Heritage Valorization. UMAP (Adjunct Publication) 2019: 377-382 - 2018
- [j8]Gianni Cerro
Metrological Characterization of a Novel Microsensor Platform for Activated Carbon Filters Monitoring. IEEE Trans. Instrum. Meas. 67(10): 2504-2515 (2018) - [j7]Alessandro Bria
Improving the Automated Detection of Calcifications Using Adaptive Variance Stabilization. IEEE Trans. Medical Imaging 37(8): 1857-1864 (2018) - [c34]Claudio Marrocco
Mammogram denoising to improve the calcification detection performance of convolutional nets. IWBI 2018: 107180W - [c33]Alessandro Bria, Claudio Marrocco
Improving the automated detection of calcifications by combining deep cascades and deep convolutional nets. IWBI 2018: 1071808 - [c32]Giovanni Trovini, Christian Napoli, Robert Marti
A deep learning framework for micro-calcification detection in 2D mammography and C-view. IWBI 2018: 1071811 - [c31]Paolo Bruschi, Gianni Cerro
A Novel Integrated Smart System for Indoor Air Monitoring and Gas Recognition. SMARTCOMP 2018: 470-475 - 2017
- [c30]Agnese Marchesi, Alessandro Bria, Claudio Marrocco
The Effect of Mammogram Preprocessing on Microcalcification Detection with Convolutional Neural Networks. CBMS 2017: 207-212 - [c29]Benedetta Savelli, Alessandro Bria, Adrian Galdran
Illumination Correction by Dehazing for Retinal Vessel Segmentation. CBMS 2017: 219-224 - [c28]Grazia Fattoruso, Annalisa Agresta, Saverio De Vito, Antonio Buonanno, Mario Molinara
Online Anomaly Detection on Rain Gauge Networks for Robust Alerting Services to Citizens at Risk from Flooding. ICCSA (3) 2017: 427-442 - [c27]Benedetta Savelli, Agnese Marchesi, Alessandro Bria, Claudio Marrocco
Retinal Vessel Segmentation Through Denoising and Mathematical Morphology. ICIAP (2) 2017: 267-276 - [c26]Alessandro Bria, Claudio Marrocco
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets. ICIAP (2) 2017: 288-298 - [c25]Gianni Cerro
Preliminary realization of a monitoring system of activated carbon filter RLI based on the SENSIPLUS® microsensor platform. M&N 2017: 1-5 - 2016
- [j6]Alessandro Bria, Claudio Marrocco
An effective learning strategy for cascaded object detection. Inf. Sci. 340-341: 17-26 (2016) - [c24]Alessandro Bria, Claudio Marrocco
LUT-QNE: Look-Up-Table Quantum Noise Equalization in Digital Mammograms. Digital Mammography / IWDM 2016: 27-34 - [c23]Alessandro Bria, Claudio Marrocco
Deep Cascade Classifiers to Detect Clusters of Microcalcifications. Digital Mammography / IWDM 2016: 415-422 - 2013
- [c22]Alessandro Bria, Claudio Marrocco
Cascaded Rank-Based Classifiers for Detecting Clusters of Microcalcifications. AIME 2013: 166-170 - [c21]Mario Molinara
Automatic segmentation of the pectoral muscle in mediolateral oblique mammograms. CBMS 2013: 506-509 - [c20]Mario Molinara
A Boosting-Based Approach to Refine the Segmentation of Masses in Mammography. ICIAP (2) 2013: 572-580 - 2012
- [c19]Claudio Marrocco
Detection of cluster of microcalcifications based on watershed segmentation algorithm. CBMS 2012: 1-5 - [c18]Alessandro Bria, Claudio Marrocco, Mario Molinara, Francesco Tortorella:
A ranking-based cascade approach for unbalanced data. ICPR 2012: 3439-3442 - [c17]Alessandro Bria
Detecting Clusters of Microcalcifications with a Cascade-Based Approach. Digital Mammography / IWDM 2012: 111-118 - 2011
- [j5]Claudio Marrocco
On Linear Combinations of Dichotomizers for Maximizing the Area Under the ROC Curve. IEEE Trans. Syst. Man Cybern. Part B 41(3): 610-620 (2011) - [c16]Claudio Marrocco
A multidisciplinary approach to the design and development of a CAD system for the detection of clustered microcalcifications. CBMS 2011: 1-6 - [c15]Claudio Marrocco
Exploring Cascade Classifiers for Detecting Clusters of Microcalcifications. ICIAP (1) 2011: 384-392 - [c14]Maria Teresa Ricamato, Mario Molinara
Selection Strategies for pAUC-Based Combination of Dichotomizers. MCS 2011: 177-186 - 2010
- [j4]Claudio Marrocco
A computer-aided detection system for clustered microcalcifications. Artif. Intell. Medicine 50(1): 23-32 (2010)
2000 – 2009
- 2009
- [c13]Claudio Marrocco
Towards a Linear Combination of Dichotomizers by Margin Maximization. ICIAP 2009: 1043-1052 - 2008
- [j3]Andrea Bernieri, Luigi Ferrigno
Crack Shape Reconstruction in Eddy Current Testing Using Machine Learning Systems for Regression. IEEE Trans. Instrum. Meas. 57(9): 1958-1968 (2008) - [c12]Ciro D'Elia, Claudio Marrocco
Detection of Clusters of Microcalcifications in Mammograms: A Multi Classifier Approach. CBMS 2008: 572-577 - [c11]Francesco Tortorella, Rossella Patraccone, Mario Molinara:
A Dynamic Programming approach for segmenting digital planar curves into line segments and circular arcs. ICPR 2008: 1-4 - 2007
- [c10]Mario Molinara
Facing Imbalanced Classes through Aggregation of Classifiers. ICIAP 2007: 43-48 - [c9]Claudio Marrocco, Mario Molinara, Francesco Tortorella:
An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules. MLDM 2007: 47-60 - 2006
- [j2]Claudio Marrocco
Exploiting AUC for optimal linear combinations of dichotomizers. Pattern Recognit. Lett. 27(8): 900-907 (2006) - [c8]Claudio Marrocco, Mario Molinara, Francesco Tortorella:
AUC-Based Linear Combination of Dichotomizers. SSPR/SPR 2006: 714-722 - 2005
- [c7]Claudio Marrocco
Estimating the ROC Curve of Linearly Combined Dichotomizers. ICIAP 2005: 778-785 - [c6]Claudio Marrocco
Algorithms for Detecting Clusters of Microcalcifications in Mammograms. ICIAP 2005: 884-891 - [c5]Domenico Capriglione
SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems. ICIAP 2005: 1117-1124 - [c4]Giovanni Betta
SVM-based approach for instrument fault accomodation in automotive systems. VECIMS 2005: 6 - 2004
- [c3]Ciro D'Elia, Claudio Marrocco
Detection of Microcalcifications Clusters in Mammograms through TS-MRF Segmentation and SVM-based Classification. ICPR (3) 2004: 742-745 - 2003
- [b1]Mario Molinara:
Individuazione degli shot in filmati MPEG mediante un approccio multi-esperto. University of Salerno, Italy, 2003 - [j1]Massimo De Santo, Mario Molinara
Automatic classification of clustered microcalcifications by a multiple expert system. Pattern Recognit. 36(7): 1467-1477 (2003) - 2002
- [c2]Massimo De Santo, Mario Molinara
On the Applicability of the MultiAgent System Paradigm for Parsing Videos. HICSS 2002: 111 - 2001
- [c1]Massimo De Santo, Nicola Femia, Mario Molinara, Giovanni Spagnuolo:
Multi agent systems for circuit tolerance and sensitivity analysis. ISCAS (5) 2001: 343-346
Coauthor Index
[j32] [j29] [c57] [c56] [j24] [j23] [c54] [c53] [c50] [c49] [j18] [c45] [j15] [j14] [j13] [j11] [c44] [c43] [c42] [c40] [c39] [c36] [j7] [c34] [c33] [c32] [c30] [c29] [c28] [c27] [c26] [j6] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [j5] [c16] [c15] [j4] [c13] [c12] [c9] [j2] [c8] [c7] [c6] [c5] [c3]
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last updated on 2024-12-13 19:15 CET by the dblp team
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