Carlo Sansone

发表

Reliability Parameters to Improve Combination Strategies in Multi-Expert Systems

Mario Vento, Luigi P. Cordella, Pasquale Foggia, 1999, Pattern Analysis & Applications.

Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective

Antonino Mazzeo, Carlo Sansone, Mario Barbareschi, 2015, MCS.

A Neural Multi-expert Classification System for MPEG Audio Segmentation

Mario Vento, Gennaro Percannella, Massimo De Santo, 2001, ICAPR.

Electrocardiogram pattern recognition and analysis based on artificial neural networks and support vector machines: a review.

Carlo Sansone, Mario Sansone, Roberta Fusco, 2013, Journal of healthcare engineering.

Automatic Cut Detection in MPEG Movies: A Multi-expert Approach

Mario Vento, Gennaro Percannella, Massimo De Santo, 2002, SSPR/SPR.

A Graph-Based Algorithm for Cluster Detection

Mario Vento, Gennaro Percannella, Pasquale Foggia, 2008, Int. J. Pattern Recognit. Artif. Intell..

Recommending Multimedia Objects in Cultural Heritage Applications

Ruggero G. Pensa, Vincenzo Moscato, Antonio Picariello, 2013, ICIAP Workshops.

An Adversarial Perturbation Approach Against CNN-based Soft Biometrics Detection

Stefano Marrone, Carlo Sansone, S. Marrone, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Identification of Traffic Flows Hiding behind TCP Port 80

Antonio Pescapè, Alberto Dainotti, Carlo Sansone, 2010, 2010 IEEE International Conference on Communications.

ABC: A knowledge Based Collaborative framework for e-health

Flora Amato, Vincenzo Moscato, Antonio Picariello, 2015, 2015 IEEE 1st International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI).

Subgraph Transformations for the Inexact Matching of Attributed Relational Graphs

Mario Vento, Luigi P. Cordella, Pasquale Foggia, 1997, GbRPR.

Benchmarking graph-based clustering algorithms

Mario Vento, Gennaro Percannella, Pasquale Foggia, 2009, Image Vis. Comput..

Preface

Mario Vento, Pasquale Foggia, Carlo Sansone, 2003, Pattern Recognit. Lett..

The Impact of Reliability Evaluation on a Semi-supervised Learning Approach

Mario Vento, Gennaro Percannella, Pasquale Foggia, 2009, ICIAP.

A Multi-expert Approach for Shot Classification in News Videos

Mario Vento, Gennaro Percannella, Massimo De Santo, 2004, ICIAR.

A Method for Topic Detection in Great Volumes of Data

Flora Amato, Antonino Mazzeo, Carlo Sansone, 2014, DATA.

Segmentation of news videos based on audio-video information

Mario Vento, Gennaro Percannella, Massimo De Santo, 2007, Pattern Analysis and Applications.

Use of artificial neural networks for optimal sensing in complex structures analysis

Carlo Sansone, M. Savastano, Leonardo V. Lecce, 1994, Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9).

Influence of QT correction on temporal and amplitude features for human identification via ECG

Paolo Bifulco, Mario Cesarelli, Carlo Sansone, 2013, 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications.

Evaluation of Residual-Based Local Features for Camera Model Identification

Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, 2015, ICIAP Workshops.

Biometric Spoofing Detection by a Domain-Aware Convolutional Neural Network

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2016, 2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS).

Adversarial Perturbations Against Fingerprint Based Authentication Systems

Stefano Marrone, Carlo Sansone, 2019, 2019 International Conference on Biometrics (ICB).

A Self-training Approach for Automatically Labeling IP Traffic Traces

Carlo Sansone, Francesco Gargiulo, Claudio Mazzariello, 2008, Computer Recognition Systems 2.

Subject identification via ECG fiducial-based systems: Influence of the type of QT interval correction

Carlo Sansone, Francesco Gargiulo, Mario Sansone, 2015, Comput. Methods Programs Biomed..

A graph-theoretical clustering method for detecting clusters of micro-calcifications in mammographic images

Mario Vento, Gennaro Percannella, Luigi P. Cordella, 2005, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05).

Breast Segmentation in MRI via U-Net Deep Convolutional Neural Networks

Carlo Sansone, Mario Sansone, Gabriele Piantadosi, 2018, 2018 24th International Conference on Pattern Recognition (ICPR).

A Multiple Classifier System for Classification of Breast Lesions Using Dynamic and Morphological Features in DCE-MRI

Antonella Petrillo, Carlo Sansone, Mario Sansone, 2012, SSPR/SPR.

Keystroke dynamics recognition based on personal data: A comparative experimental evaluation implementing reproducible research

Julian Fiérrez, Carlo Sansone, Javier Ortega-Garcia, 2015, 2015 IEEE 7th International Conference on Biometrics Theory, Applications and Systems (BTAS).

A real-time text-independent speaker identification system

Mario Vento, Luigi P. Cordella, Pasquale Foggia, 2003, 12th International Conference on Image Analysis and Processing, 2003.Proceedings..

Prototyping Structural Shape Descriptions by Inductive Learning

Mario Vento, Luigi P. Cordella, Francesco Tortorella, 2001, IWVF.

Unsupervised News Video Segmentation by Combined Audio-Video Analysis

Mario Vento, Gennaro Percannella, Massimo De Santo, 2006, MRCS.

An Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2017, ICIAP.

Combining experts for anchorperson shot detection in news videos

Mario Vento, Gennaro Percannella, Massimo De Santo, 2004, Pattern Analysis and Applications.

A Classification Reliability Driven Reject Rule for Multi-Expert Systems

Mario Vento, Francesco Tortorella, Carlo Sansone, 2001, Int. J. Pattern Recognit. Artif. Intell..

HOLMeS: eHealth in the Big Data and Deep Learning Era

Stefano Marrone, Flora Amato, Vincenzo Moscato, 2018, Inf..

A deep learning approach for iris sensor model identification

Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, 2017, Pattern Recognit. Lett..

Cooperative 3D Air Quality Assessment with Wireless Chemical Sensing Networks

Valentina Casola, Carlo Sansone, Ettore Massera, 2011 .

A study of co-occurrence based local features for camera model identification

Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, 2016, Multimedia Tools and Applications.

HOLMeS: eHealth in the Big Data and Deep Learning Era

Stefano Marrone, Flora Amato, Vincenzo Moscato, 2019, Information.

On the Robustness of Fingerprint Liveness Detection Algorithms against New Materials used for Spoofing

Carlo Sansone, Emanuela Marasco, Emanuela Marasco, 2017, BIOSIGNALS.

Pattern Recognition Approaches for Classifying IP Flows

Luca Salgarelli, Carlo Sansone, Francesco Gringoli, 2008, SSPR/SPR.

LivDet iris 2017 — Iris liveness detection competition 2017

Luisa Verdoliva, Tieniu Tan, Richa Singh, 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).

Algorithms for Detecting Intrusions in Computer Networks Using Temporal-Behavior Knowledge Spaces

Luigi P. Cordella, Carlo Sansone, Claudio Mazzariello, 2006 .

Automatically building datasets of labeled IP traffic traces: A self-training approach

Carlo Sansone, Francesco Gargiulo, Claudio Mazzariello, 2012, Appl. Soft Comput..

Look-Up Tables for Efficient Non-Linear Parameters Estimation

Stefano Marrone, Carlo Sansone, Mario Sansone, 2017 .

Approximate Decision Tree-Based Multiple Classifier Systems

Carlo Sansone, Mario Barbareschi, Cristina Papa, 2017 .

PRNU-based forgery detection with regularity constraints and global optimization

Luisa Verdoliva, Giovanni Chierchia, Giovanni Poggi, 2013, 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP).

Using visual and semantic features for anti-spam filters

Carlo Sansone, Antonio Penta, A. Picariello, 2007 .

Predicting identification errors in a multibiometric system based on ranks and scores

Arun Ross, Carlo Sansone, Emanuela Marasco, 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

On the use of classification reliability for improving performance of the one-per-class decomposition method

Gennaro Percannella, Giulio Iannello, Carlo Sansone, 2009, Data Knowl. Eng..

Online IRC botnet detection using a SOINN classifier

Carlo Sansone, Claudio Mazzariello, Francesco Carpine, 2013, 2013 IEEE International Conference on Communications Workshops (ICC).

Correlation clustering for PRNU-based blind image source identification

Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, 2016, 2016 IEEE International Workshop on Information Forensics and Security (WIFS).

Catfish density estimation by aerial images analysis and deep learning

Carlo Sansone, Donatello Conte, Pierre Gaucher, 2019, SAC.

A Multimedia Summarizer Integrating Text and Images

Fabio Persia, Vincenzo Moscato, Antonio Picariello, 2015 .

Managing 3D objects for real world scenes reconstruction

Flora Amato, Vincenzo Moscato, Antonio Picariello, 2015, Int. J. Comput. Sci. Eng..

Graph matching: a fast algorithm and its evaluation

Mario Vento, Luigi P. Cordella, Francesco Tortorella, 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

Classifying audio of movies by a multi-expert system

Mario Vento, Gennaro Percannella, Massimo De Santo, 2001, Proceedings 11th International Conference on Image Analysis and Processing.

Counter-forensics in machine learning based forgery detection

Luisa Verdoliva, Fabio Roli, Giovanni Poggi, 2015, Electronic Imaging.

Multi-planar 3D breast segmentation in MRI via deep convolutional neural networks

Carlo Sansone, Mario Sansone, Roberta Fusco, 2020, Artif. Intell. Medicine.

A Business Reputation Methodology Using Social Network Analysis

Vincenzo Moscato, Antonio Picariello, Carlo Sansone, 2019, I-SPAN.

Assessing the Performance of a Graph-Based Clustering Algorithm

Mario Vento, Gennaro Percannella, Pasquale Foggia, 2007, GbRPR.

A Cascaded Multiple Expert System for Verification

Mario Vento, Luigi P. Cordella, Francesco Tortorella, 2000, Multiple Classifier Systems.

Evaluating Pattern Recognition Techniques in Intrusion Detection Systems

Simon Pietro Romano, Carlo Sansone, Claudio Mazzariello, 2005, PRIS.

Guided filtering for PRNU-based localization of small-size image forgeries

Davide Cozzolino, Luisa Verdoliva, Giovanni Chierchia, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Unsupervised Algorithm for Anchor Shot Detection

Mario Vento, Gennaro Percannella, Massimo De Santo, 2006, 18th International Conference on Pattern Recognition (ICPR'06).

Using a Behaviour Knowledge Space Approach for Detecting Unknown IP Traffic Flows

Antonio Pescapè, Alberto Dainotti, Carlo Sansone, 2011, MCS.

LBP-TOP for Volume Lesion Classification in Breast DCE-MRI

Antonella Petrillo, Carlo Sansone, Mario Sansone, 2015, ICIAP.

A multi-stage classification system for detecting intrusions in computer networks

Luigi P. Cordella, Carlo Sansone, 2006, Pattern Analysis and Applications.

A Database of Graphs for Isomorphism and Sub-Graph Isomorphism Benchmarking

Mario Vento, Pasquale Foggia, Carlo Sansone, 2001 .

An Improved Algorithm for Anchor Shot Detection

Mario Vento, Gennaro Percannella, Massimo De Santo, 2005, ICIAP.

Network Intrusion Detection by a Multi-stage Classification System

Luigi P. Cordella, Carlo Sansone, Alessandro Limongiello, 2004, Multiple Classifier Systems.

Attacking the triangle test in sensor-based camera identification

Davide Cozzolino, Luisa Verdoliva, Fabio Roli, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

A Secure OsiriX Plug-In for Detecting Suspicious Lesions in Breast DCE-MRI

Stefano Marrone, Carlo Sansone, Mario Sansone, 2013, ICA3PP.

An Adaptive Reject Option for LVQ Classifiers

Mario Vento, Luigi P. Cordella, Claudio De Stefano, 1995, ICIAP.

A Multi-expert System for Movie Segmentation

Mario Vento, Gennaro Percannella, Luigi P. Cordella, 2002, Multiple Classifier Systems.

A secure, scalable and versatile multi-layer client–server architecture for remote intelligent data processing

Stefano Marrone, Carlo Sansone, Mario Sansone, 2015, Journal of Reliable Intelligent Environments.

A Multiple Classifier System for Intrusion Detection Using Behavior Knowledge Spaces and Temporal Information

Carlo Sansone, Claudio Mazzariello, 2006, ICEIS Doctoral Consortium.

Multiple Classifier Systems: Theory, Applications and Tools

Carlo Sansone, Francesco Gargiulo, Claudio Mazzariello, 2013, Handbook on Neural Information Processing.

Classification Reliability and Its Use in Multi-classifier Systems

Mario Vento, Luigi P. Cordella, Francesco Tortorella, 1997, ICIAP.

Using Heterogeneous Features for Anti-spam Filters

Antonio Picariello, Carlo Sansone, Francesco Gargiulo, 2008, 2008 19th International Workshop on Database and Expert Systems Applications.

Evaluating Impacts of Motion Correction on Deep Learning Approaches for Breast DCE-MRI Segmentation and Classification

Stefano Marrone, Carlo Sansone, Mario Sansone, 2019, CAIP.

A (sub)graph isomorphism algorithm for matching large graphs

Mario Vento, Luigi P. Cordella, Pasquale Foggia, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

On Reproducibility of Deep Convolutional Neural Networks Approaches

Stefano Marrone, Carlo Sansone, Gabriele Piantadosi, 2018, RRPR.

Information fusion in computer security

Fabio Roli, Carlo Sansone, Giorgio Giacinto, 2009, Inf. Fusion.

Biologically-Inspired Dense Local Descriptor for Indirect Immunofluorescence Image Classification

Luisa Verdoliva, Diego Gragnaniello, Carlo Sansone, 2014, 2014 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images.

A Neural-based Fault Component Identification in Electrical Systems

Carlo Sansone, Andrea Bernieri, 1995 .

Reconstruction of Car Crash Scenes Using a 3D Building and Query Algebra

Flora Amato, Vincenzo Moscato, Antonio Picariello, 2012, 2012 Eighth International Conference on Signal Image Technology and Internet Based Systems.

Liveness-based fusion approaches in multibiometrics

Carlo Sansone, Emanuela Marasco, Luca Marfella, 2012, 2012 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS) Proceedings.

Segmentation of 3D microscopy data with an energy based interaction model

Carlo Sansone, Vincenzo Paduano, Michele Ceccarelli, 2009, 2009 IEEE International Workshop on Medical Measurements and Applications.

Information fusion for computer security: State of the art and open issues

Fabio Roli, Carlo Sansone, Giorgio Giacinto, 2009, Inf. Fusion.

ECG databases for biometric systems: A systematic review

Carlo Sansone, Mario Sansone, Mario Merone, 2017, Expert Syst. Appl..

DCE-MRI Breast Lesions Segmentation with a 3TP U-Net Deep Convolutional Neural Network

Stefano Marrone, Carlo Sansone, Mario Sansone, 2019, 2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS).

A new NARX based Semi Supervised Learning algorithm for pollutant estimation

Sabato Manfredi, Carlo Sansone, Saverio De Vito, 2014, 2014 IEEE Workshop on Environmental, Energy, and Structural Monitoring Systems Proceedings.

A Personal Antispam System Based on a Behaviour-Knowledge Space Approach

Antonio Picariello, Carlo Sansone, Francesco Gargiulo, 2009, Applications of Supervised and Unsupervised Ensemble Methods.

Combining 2D and 3D Features to Classify Protein Mutants in HeLa Cells

Carlo Sansone, Vincenzo Paduano, Michele Ceccarelli, 2010, MCS.

On the security evaluation of a multibiometric system based on a voting strategy involving likelihood ratio statistic tests

Carlo Sansone, Emanuela Marasco, 2011, 2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS).

An efficient algorithm for the inexact matching of ARG graphs using a contextual transformational model

Mario Vento, Luigi P. Cordella, Pasquale Foggia, 1996, Proceedings of 13th International Conference on Pattern Recognition.

Graph matching applications in pattern recognition and image processing

Mario Vento, Pasquale Foggia, Carlo Sansone, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Signature Verification: Increasing Performance by a Multi-Stage System

Mario Vento, Carlo Sansone, 2000, Pattern Analysis & Applications.

Improving Performance of Network Traffic Classification Systems by Cleaning Training Data

Carlo Sansone, Francesco Gargiulo, 2010, 2010 20th International Conference on Pattern Recognition.

Segmentation and classification of breast lesions using dynamic and textural features in Dynamic Contrast Enhanced-Magnetic Resonance Imaging

Antonella Petrillo, Carlo Sansone, Mario Sansone, 2012, 2012 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS).

Document validation by signature: a serial multi-expert approach

Mario Vento, Luigi P. Cordella, Pasquale Foggia, 1999, Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318).

A Method of Topic Detection for Great Volume of Data

Flora Amato, Antonino Mazzeo, Carlo Sansone, 2014, DATA.

An Investigation of Local Descriptors for Biometric Spoofing Detection

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2015, IEEE Transactions on Information Forensics and Security.

Using iris and sclera for detection and classification of contact lenses

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2016, Pattern Recognit. Lett..

Selection of Suspicious ROIs in Breast DCE-MRI

Antonella Petrillo, Carlo Sansone, Mario Sansone, 2011, ICIAP.

Exploiting cohorts information in multibiometric identification systems via graph-based fusion

Carlo Sansone, Emanuela Marasco, Emanuela Marasco, 2013, 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications.

A Framework for Recommending Multimedia Cultural Visiting Paths

Ruggero G. Pensa, Vincenzo Moscato, Antonio Picariello, 2014, SEBD.

General Chair’s Foreword

Dana Petcu, Filip De Turck, Annalisa Massini, 2005, International Conferences on Biological Information and Biomedical Engineering.

Definition and Validation of a Distance Measure Between Structural Primitives

Mario Vento, Francesco Tortorella, Pasquale Foggia, 1999, Pattern Analysis & Applications.

A Multi-stage Approach for Anchor Shot Detection

Mario Vento, Gennaro Percannella, Carlo Sansone, 2006, SSPR/SPR.

Using Behavior Knowledge Space and Temporal Information for Detecting Intrusions in Computer Networks

Luigi P. Cordella, Carlo Sansone, Claudio Mazzariello, 2005, ICAPR.

Learning structural shape descriptions from examples

Mario Vento, Luigi P. Cordella, Pasquale Foggia, 2002, Pattern Recognit. Lett..

Real Time Detection of Novel Attacks by Means of Data Mining Techniques

Simon Pietro Romano, Carlo Sansone, Claudio Mazzariello, 2005, ICEIS.

Diagnosis of actuator faults in AUVs based on neural networks

Luigi Villani, Carlo Sansone, Gianluca Antonelli, 2004 .

Combining perspiration- and morphology-based static features for fingerprint liveness detection

Carlo Sansone, Emanuela Marasco, Emanuela Marasco, 2012, Pattern Recognit. Lett..

Deep learning in the ultrasound evaluation of neonatal respiratory status pdf

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Web personalization based on static information and dynamic user behavior

Antonio Picariello, Massimiliano Albanese, Carlo Sansone, 2004, WIDM '04.

A Performance Comparison of Five Algorithms for Graph Isomorphism

Mario Vento, Pasquale Foggia, Carlo Sansone, 2001 .

Multiclassification: reject criteria for the Bayesian combiner

Mario Vento, Francesco Tortorella, Pasquale Foggia, 1999, Pattern Recognit..

A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection

Luisa Verdoliva, Giovanni Chierchia, Giovanni Poggi, 2014, IEEE Transactions on Information Forensics and Security.

One-Class SVM Based Approach for Detecting Anomalous Audio Events

Vincenzo Moscato, Antonio Picariello, Carlo Sansone, 2014, 2014 International Conference on Intelligent Networking and Collaborative Systems.

Neural network classification reliability: Problems and applications

Mario Vento, Claudio De Stefano, Francesco Tortorella, 1998 .

A Comparison of Unsupervised Shot Classification Algorithms for News Video Segmentation

Mario Vento, Gennaro Percannella, Massimo De Santo, 2004, SSPR/SPR.

Combining statistical and structural approaches for handwritten character description

Mario Vento, Francesco Tortorella, Pasquale Foggia, 1999, Image Vis. Comput..

Combining Audio-Based and Video-Based Shot Classification Systems for News Videos Segmentation

Mario Vento, Gennaro Percannella, Massimo De Santo, 2005, Multiple Classifier Systems.

Automatic Classification of Clustered Microcalcifications by a Multiple Classifier System

Mario Vento, Francesco Tortorella, Pasquale Foggia, 2001, Multiple Classifier Systems.

A Framework for Building Multimedia Ontologies from Web Information Sources

Fabio Persia, Angelo Chianese, Vincenzo Moscato, 2012, SEBD.

New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops

Enrico Puppo, Vittorio Murino, Carlo Sansone, 2015, Lecture Notes in Computer Science.

An anti-spoofing technique using multiple textural features in fingerprint scanners

Carlo Sansone, Emanuela Marasco, Emanuela Marasco, 2010, 2010 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications.

Multiple Classifier Systems for Image Forgery Detection

Davide Cozzolino, Luisa Verdoliva, Carlo Sansone, 2013, ICIAP.

A web usage mining algorithm for web personalization

Antonio Picariello, Carlo Sansone, A. Picariello, 2008, Intell. Decis. Technol..

Dialogue Scenes Detection in MPEG Movies: A Multi-expert Approach

Mario Vento, Gennaro Percannella, Massimo De Santo, 2001, MDIC.

PRNU-Based Forgery Localization in a Blind Scenario

Davide Cozzolino, Luisa Verdoliva, Giovanni Poggi, 2017, ICIAP.

How and Why Pattern Recognition and Computer Vision Applications Use Graphs

Mario Vento, Pasquale Foggia, Carlo Sansone, 2007, Applied Graph Theory in Computer Vision and Pattern Recognition.

A Graph-Based Method for Detecting and Classifying Clusters in Mammographic Images

Mario Vento, Gennaro Percannella, Pasquale Foggia, 2006, SSPR/SPR.

Automatically analyzing groups of crashes for finding correlations

Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, 2017, ESEC/SIGSOFT FSE.

Cell image classification by a scale and rotation invariant dense local descriptor

Luisa Verdoliva, Diego Gragnaniello, Carlo Sansone, 2016, Pattern Recognit. Lett..

Fault diagnosis for AUVs using support vector machines

Luigi Villani, Gianluca Antonelli, Carlo Sansone, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

3TP-CNN: Radiomics and Deep Learning for Lesions Classification in DCE-MRI

Stefano Marrone, Carlo Sansone, Mario Sansone, 2019, ICIAP.

A large database of graphs and its use for benchmarking graph isomorphism algorithms

Mario Vento, Massimo De Santo, Pasquale Foggia, 2003, Pattern Recognit. Lett..

A web personalization system based on web usage mining techniques

Antonio Picariello, Massimiliano Albanese, Carlo Sansone, 2004, WWW Alt. '04.

Thirty Years Of Graph Matching In Pattern Recognition

Mario Vento, Pasquale Foggia, Carlo Sansone, 2004, Int. J. Pattern Recognit. Artif. Intell..

Combining Syntactic and Semantic Vector Space Models in the Health Domain by using a Clustering Ensemble

Flora Amato, Antonino Mazzeo, Carlo Sansone, 2013, HEALTHINF.

A Graph-Based Clustering Method and Its Applications

Mario Vento, Gennaro Percannella, Pasquale Foggia, 2007, BVAI.

A novel approach for detecting alerts in urban pollution monitoring with low cost sensors

Sabato Manfredi, Francesco Tortorella, Carlo Sansone, 2013, 2013 IEEE International Workshop on Measurements & Networking (M&N).

A Semantic Search Engine in the Cloud

Flora Amato, Antonino Mazzeo, Carlo Sansone, 2013, 2013 Eighth International Conference on P2P, Parallel, Grid, Cloud and Internet Computing.

Information Fusion Techniques for Reliably Training Intrusion Detection Systems

Carlo Sansone, Claudio Mazzariello, Francesco Gargiulo, 2007 .

Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review

Carlo Sansone, Mario Sansone, Antonella Petrillo, 2016, Journal of Medical and Biological Engineering.

The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks

Luisa Verdoliva, Sébastien Marcel, Ramachandra Raghavendra, 2015, 2015 International Conference on Biometrics (ICB).

On Rejecting Unreliably Classified Patterns

Mario Vento, Gennaro Percannella, Pasquale Foggia, 2007, MCS.

Comparing Generalization and Recognition Capability of Learning Vector Quantization and Multi-layer Perceptron Architectures

Mario Vento, C. De Stefano, Carlo Sansone, 1995 .

Training convolutional neural networks for semantic classification of remote sensing imagery

Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, 2017, 2017 Joint Urban Remote Sensing Event (JURSE).

Automatic Lesion Detection in Breast DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2013, ICIAP.

Contact Lens Detection and Classification in Iris Images through Scale Invariant Descriptor

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2014, 2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems.

A Novel Model-Based Measure for Quality Evaluation of Image Registration Techniques in DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

Network Protocol Verification by a Classifier Selection Ensemble

Carlo Sansone, Ludmila I. Kuncheva, Francesco Gargiulo, 2009, MCS.

Local contrast phase descriptor for fingerprint liveness detection

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2015, Pattern Recognit..

A Comparative Analysis of Forgery Detection Algorithms

Davide Cozzolino, Luisa Verdoliva, Giovanni Poggi, 2012, SSPR/SPR.

Improving the Accuracy of a Score Fusion Approach Based on Likelihood Ratio in Multimodal Biometric Systems

Carlo Sansone, Emanuela Marasco, Emanuela Marasco, 2009, ICIAP.

Combining visual and textual features for filtering spam emails

Carlo Sansone, Francesco Gargiulo, F. Gargiulo, 2008, 2008 19th International Conference on Pattern Recognition.

A Multiple Classifier Approach for Detecting Naked Human Bodies in Images

Carlo Sansone, Luca Giangiuseppe Esposito, 2013, ICIAP.

Suitability of a low cost system for quantitative motion capture applications

Vincenzo Moscato, Carlo Sansone, Francesco Gargiulo, 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

Introduction to the special issue on robustness, security and regulation aspects in current biometric systems (RSRA-BS)

Andrea F. Abate, Gian Luca Marcialis, Norman Poh, 2019, Pattern Recognit. Lett..

Combining Genetic-Based Misuse and Anomaly Detection for Reliably Detecting Intrusions in Computer Networks

Carlo Sansone, Claudio Mazzariello, I. Finizio, 2005, ICIAP.

Increase the Security of Multibiometric Systems by Incorporating a Spoofing Detection Algorithm in the Fusion Mechanism

Stephanie Schuckers, Carlo Sansone, Emanuela Marasco, 2011, MCS.

On the influence of denoising in PRNU based forgery detection

Luisa Verdoliva, Giovanni Chierchia, Giovanni Poggi, 2010, MiFor '10.

Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures

Stefano Marrone, Carlo Sansone, Stefano Olivieri, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Recommending multimedia visiting paths in cultural heritage applications

Ruggero G. Pensa, Vincenzo Moscato, Antonio Picariello, 2014, Multimedia Tools and Applications.

H.264 video coding for low bit rate error prone channels: An application to TETRA systems

Carlo Sansone, Stefania Colonnese, Gaetano Scarano, 2006, 2006 14th European Signal Processing Conference.

Skin Lesions Classification: A Radiomics Approach with Deep CNN

Carlo Sansone, Giampaolo Bovenzi, Gabriele Piantadosi, 2019, ICIAP Workshops.

Evaluating Classification Reliability for Combining Classifiers

Mario Vento, Gennaro Percannella, Pasquale Foggia, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

Anomaly-Based Detection of IRC Botnets by Means of One-Class Support Vector Classifiers

Carlo Sansone, Claudio Mazzariello, 2009, ICIAP.

An Improved Algorithm for Matching Large Graphs

Mario Vento, Luigi P. Cordella, Pasquale Foggia, 2001 .

Early Classification of Network Traffic through Multi-classification

Antonio Pescapè, Alberto Dainotti, Carlo Sansone, 2011, TMA.

Chatbots Meet eHealth: Automatizing Healthcare

Stefano Marrone, Flora Amato, Vincenzo Moscato, 2017, WAIAH@AI*IA.

A Multi-Expert System For Shot Change Detection In Mpeg Movies

Mario Vento, Gennaro Percannella, Massimo De Santo, 2004, Int. J. Pattern Recognit. Artif. Intell..

Visual and OCR-Based Features for Detecting Image Spam

Carlo Sansone, Francesco Gargiulo, F. Gargiulo, 2008, PRIS.

A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs

Horst Bunke, Mario Vento, Pasquale Foggia, 2002, SSPR/SPR.

Hierarchical image analysis using Radon transform: an application to error concealment

Carlo Sansone, Stefania Colonnese, Gaetano Scarano, 2005, IEEE International Conference on Image Processing 2005.

A computer-aided diagnosis system for HEp-2 fluorescence intensity classification

Carlo Sansone, Mario Merone, Paolo Soda, 2019, Artif. Intell. Medicine.

Cooperating experts for soundtrack analysis of MPEG movies

Mario Vento, Gennaro Percannella, Massimo De Santo, 2002, Inf. Fusion.

Breast segmentation using Fuzzy C-Means and anatomical priors in DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges

G. Elisabeta Marai, John Freymann, Carlo Sansone, 2018, Front. Oncol..

Image Analysis and Processing - ICIAP 2009, 15th International Conference Vietri sul Mare, Italy, September 8-11, 2009, Proceedings

Mario Vento, Pasquale Foggia, Carlo Sansone, 2009, ICIAP.

Iris liveness detection for mobile devices based on local descriptors

Luisa Verdoliva, Diego Gragnaniello, Carlo Sansone, 2015, Pattern Recognit. Lett..

Data-driven selection of motion correction techniques in breast DCE-MRI

Stefano Marrone, Antonella Petrillo, Carlo Sansone, 2015, 2015 IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings.

An Experimental Comparison of Different Methods for Combining Biometric Identification Systems

Carlo Sansone, Emanuela Marasco, 2011, ICIAP.

Land Use Classification in Remote Sensing Images by Convolutional Neural Networks pdf

Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, 2015, ArXiv.

Blind PRNU-Based Image Clustering for Source Identification

Luisa Verdoliva, Giovanni Poggi, Carlo Sansone, 2017, IEEE Transactions on Information Forensics and Security.

SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning

Carlo Sansone, Francesco Gargiulo, F. Gargiulo, 2010, MCS.

To reject or not to reject: that is the question-an answer in case of neural classifiers

Mario Vento, Claudio De Stefano, Carlo Sansone, 2000, IEEE Trans. Syst. Man Cybern. Part C.

A Comparison of Three Maximum Common Subgraph Algorithms on a Large Database of Labeled Graphs

Carlo Sansone, Donatello Conte, C. Guidobaldi, 2003, GbRPR.

Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns

Stefano Marrone, Carlo Sansone, Mario Sansone, 2018, IET Comput. Vis..

On the transferability of adversarial perturbation attacks against fingerprint based authentication systems

Stefano Marrone, Carlo Sansone, 2021, Pattern Recognit. Lett..

A Pipelined Tracer-Aware Approach for Lesion Segmentation in Breast DCE-MRI

Stefano Marrone, Carlo Sansone, Mario Sansone, 2021, J. Imaging.

Effects of hidden layer sizing on CNN fine-tuning

Stefano Marrone, Carlo Sansone, Cristina Papa, 2021, Future Gener. Comput. Syst..

DAE-CNN: Exploiting and disentangling contrast agent effects for breast lesions classification in DCE-MRI

Stefano Marrone, Carlo Sansone, Mario Sansone, 2021, Pattern Recognit. Lett..

Neural Machine Registration for Motion Correction in Breast DCE-MRI

Stefano Marrone, Carlo Sansone, Federica Aprea, 2021, 2020 25th International Conference on Pattern Recognition (ICPR).

Breast DCE-MRI: lesion classification using dynamic and morphological features by means of a multiple classifier system

Carlo Sansone, Mario Sansone, Roberta Fusco, 2017, European Radiology Experimental.

A neural network approach to instrument fault detection and isolation

Antonio Pietrosanto, Carlo Sansone, Andrea Bernieri, 1994, Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9).

Visual assessment versus computer-assisted gray scale analysis in the ultrasound evaluation of neonatal respiratory status

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2018, PloS one.

Fingerprint liveness detection based on Weber Local image Descriptor

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2013, 2013 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications.

Wavelet-Markov local descriptor for detecting fake fingerprints

Luisa Verdoliva, Giovanni Poggi, Diego Gragnaniello, 2014 .

Biologically-Inspired Dense Local Descriptor for Indirect Immunofluorescence Image Classification

Luisa Verdoliva, Diego Gragnaniello, Carlo Sansone, 2014 .