Giorgio Giacinto

发表

Dynamic Score Selection for Fusion of Multiple Biometric Matchers

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

Enhancing Image Retrieval by an Exploration-Exploitation Approach

Roberto Paredes, Giorgio Giacinto, Luca Piras, 2012, MLDM.

On the Mathematical Formulation of the SAR Oil-Spill Observation Problem

Giorgio Giacinto, Maurizio Migliaccio, Attilio Gambardella, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

A Tabu Search algorithm for the optimisation of telecommunication networks

Giorgio Giacinto, Eugenio Costamagna, Alessandra Fanni, 1998, Eur. J. Oper. Res..

Intrusion detection in computer networks by multiple classifier systems

Fabio Roli, Giorgio Giacinto, 2002, Object recognition supported by user interaction for service robots.

A study on the performances of dynamic classifier selection based on local accuracy estimation

Gian Luca Marcialis, Fabio Roli, Luca Didaci, 2005, Pattern Recognit..

A Pattern Recognition System for Malicious PDF Files Detection

Giorgio Giacinto, Igino Corona, Davide Maiorca, 2012, MLDM.

Dynamic Classifier Selection by Adaptive k-Nearest-Neighbourhood Rule

Luca Didaci, Giorgio Giacinto, G. Giacinto, 2004, Multiple Classifier Systems.

Dynamic Score Combination: A Supervised and Unsupervised Score Combination Method

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2009, MLDM.

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Fabio Roli, Marco Melis, Konrad Rieck, 2017, IEEE Transactions on Dependable and Secure Computing.

ImageHunter: a Novel Tool for Relevance Feedback in Content Based Image Retrieval

Roberto Tronci, Giorgio Giacinto, Luca Piras, 2011, DART@AI*IA.

Diversity in Ensembles of Codebooks for Visual Concept Detection

Roberto Tronci, Giorgio Giacinto, Luca Piras, 2013, ICIAP.

On the Feasibility of Adversarial Sample Creation Using the Android System API

Giorgio Giacinto, Davide Maiorca, Fabrizio Cara, 2020, Inf..

Infinity-Norm Support Vector Machines Against Adversarial Label Contamination

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2017, ITASEC.

Early Detection of Malicious Flux Networks via Large-Scale Passive DNS Traffic Analysis

Roberto Perdisci, Giorgio Giacinto, Igino Corona, 2012, IEEE Transactions on Dependable and Secure Computing.

Dissimilarity Representation of Images for Relevance Feedback in Content-Based Image Retrieval

Fabio Roli, Giorgio Giacinto, F. Roli, 2003, MLDM.

R-PackDroid: Practical On-Device Detection of Android Ransomware pdf

Fabio Martinelli, Corrado Aaron Visaggio, Giorgio Giacinto, 2018, ArXiv.

Unbalanced learning in content-based image classification and retrieval

Giorgio Giacinto, Luca Piras, 2010, 2010 IEEE International Conference on Multimedia and Expo.

Clustering android malware families by http traffic

Mansour Ahmadi, Giorgio Giacinto, Davide Ariu, 2015, 2015 10th International Conference on Malicious and Unwanted Software (MALWARE).

Lux0R: Detection of Malicious PDF-embedded JavaScript code through Discriminant Analysis of API References

Giorgio Giacinto, Davide Ariu, Igino Corona, 2014, AISec '14.

DLLMiner: structural mining for malware detection

Mansour Ahmadi, Hassan Takabi, Giorgio Giacinto, 2015, Secur. Commun. Networks.

Application of neural networks and statistical pattern recognition algorithms to earthquake risk evaluation

Fabio Roli, Giorgio Giacinto, R. Paolucci, 1997, Pattern Recognit. Lett..

Tabu search coupled with deterministic strategies for the optimal design of MRI devices

Michele Marchesi, Giorgio Giacinto, Alessandra Fanni, 1996 .

A (Cyber)ROAD to the Future: A Methodology for Building Cybersecurity Research Roadmaps

Fabio Roli, Luca Didaci, Giorgio Fumera, 2016 .

Passive-aggressive Online Learning for Relevance Feedback in Content based Image Retrieval

Roberto Paredes, Giorgio Giacinto, Luca Piras, 2013, ICPRAM.

Towards Adversarial Malware Detection

Giorgio Giacinto, Battista Biggio, Davide Maiorca, 2018, ACM Comput. Surv..

Ten Years of Relevance Score for Content Based Image Retrieval

Giorgio Giacinto, Luca Piras, Lorenzo Putzu, 2018, MLDM.

Adversarial Detection of Flash Malware: Limitations and Open Issues

Giorgio Giacinto, Battista Biggio, Davide Maiorca, 2017, Comput. Secur..

Image Hunter at ImageCLEF 2012 Personal Photo Retrieval Task

Roberto Tronci, Giorgio Giacinto, Luca Piras, 2012, CLEF.

Adversarial Malware Binaries: Evading Deep Learning for Malware Detection in Executables

Claudia Eckert, Fabio Roli, Giorgio Giacinto, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

On the effectiveness of system API-related information for Android ransomware detection

Fabio Martinelli, Corrado Aaron Visaggio, Giorgio Giacinto, 2018, Comput. Secur..

Selection of Classifiers Based on Multiple Classifier Behaviour

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2000, SSPR/SPR.

Automotive Cybersecurity: Foundations for Next-Generation Vehicles

Giorgio Giacinto, Michele Scalas, 2019, 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS).

A Modular Multiple Classifier System for the Detection of Intrusions in Computer Networks

Fabio Roli, Luca Didaci, Giorgio Giacinto, 2003, Multiple Classifier Systems.

Pharmaguard WebApp: An Application for the Detection of Illegal Online Pharmacies

Giorgio Giacinto, Davide Ariu, Igino Corona, 2016, KDWeb.

Synthetic pattern generation for imbalanced learning in image retrieval

Giorgio Giacinto, Luca Piras, G. Giacinto, 2012, Pattern Recognit. Lett..

Explaining Black-box Android Malware Detection

Fabio Roli, Marco Melis, Giorgio Giacinto, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Giorgio Giacinto, 1996, ICDM.

Evasion Attacks against Machine Learning at Test Time pdf

Fabio Roli, Blaine Nelson, Giorgio Giacinto, 2013, ECML/PKDD.

SuStorID: A multiple classifier system for the protection of web services

Roberto Tronci, Giorgio Giacinto, Igino Corona, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Dynamic Classifier Selection

Fabio Roli, Giorgio Giacinto, F. Roli, 2000, Multiple Classifier Systems.

Selection of Experts for the Design of Multiple Biometric Systems

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2007, MLDM.

Intrusion Detection Systems based on anomaly detection techniques

Fabio Roli, Giorgio Giacinto, Davide Ariu, 2007 .

PowerDrive: Accurate De-Obfuscation and Analysis of PowerShell Malware pdf

Giorgio Giacinto, Davide Maiorca, Fabrizio Cara, 2019, DIMVA.

IntelliAV: Building an Effective On-Device Android Malware Detector pdf

Mansour Ahmadi, Giorgio Giacinto, Angelo Sotgiu, 2018, ArXiv.

Automatic Design of Multiple Classifier Systems by Unsupervised Learning

Fabio Roli, Giorgio Giacinto, 1999, MLDM.

Deepsquatting: Learning-Based Typosquatting Detection at Deeper Domain Levels

Fabio Roli, Giorgio Giacinto, Luca Piras, 2017, AI*IA.

Stealth attacks: An extended insight into the obfuscation effects on Android malware

Giorgio Giacinto, Davide Ariu, Igino Corona, 2015, Comput. Secur..

Index Driven Combination of Multiple Biometric Experts for AUC Maximisation

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2007, MCS.

Information fusion in computer security

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

2020 Cybercrime Economic Costs: No Measure No Solution

Fabio Roli, Giorgio Giacinto, Davide Ariu, 2015, 2015 10th International Conference on Availability, Reliability and Security.

Machine learning for computer security: A guide to prospective authors

Belur V. Dasarathy, Giorgio Giacinto, 2011, Inf. Fusion.

A Modular Architecture for the Analysis of HTTP Payloads Based on Multiple Classifiers

Giorgio Giacinto, Davide Ariu, 2011, MCS.

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

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

A structural and content-based approach for a precise and robust detection of malicious PDF files

Giorgio Giacinto, Davide Ariu, Igino Corona, 2015, 2015 International Conference on Information Systems Security and Privacy (ICISSP).

A nearest-neighbor approach to relevance feedback in content based image retrieval

Giorgio Giacinto, G. Giacinto, 2007, CIVR '07.

Nearest-prototype relevance feedback for content based image retrieval

Giorgio Giacinto, F. RoIi, 2004, ICPR 2004.

Methods for dynamic classifier selection

Fabio Roli, Giorgio Giacinto, F. Roli, 1999, Proceedings 10th International Conference on Image Analysis and Processing.

Adaptive Query Shifting for Content-Based Image Retrieval

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2001, MLDM.

Information fusion in content based image retrieval: A comprehensive overview

Giorgio Giacinto, Luca Piras, G. Giacinto, 2017, Inf. Fusion.

Performance Evaluation of Relevance Feedback for Image Retrieval by "Real-World" Multi-Tagged Image Datasets

Roberto Tronci, Giorgio Giacinto, Luca Piras, 2012, Int. J. Multim. Data Eng. Manag..

Evaluating Analysis Tools for Android Apps: Status Quo and Robustness Against Obfuscation

Thorsten Holz, Giorgio Giacinto, Marcel Winandy, 2016, CODASPY.

User-driven Nearest Neighbour Exploration of Image Archives

Giorgio Giacinto, Luca Piras, Deiv Furcas, 2015, ICPRAM.

One-class classification for oil spill detection

Giorgio Giacinto, Maurizio Migliaccio, Attilio Gambardella, 2010, Pattern Analysis and Applications.

R-PackDroid: API package-based characterization and detection of mobile ransomware

Fabio Martinelli, Corrado Aaron Visaggio, Giorgio Giacinto, 2017, SAC.

Design of effective neural network ensembles for image classification purposes

Fabio Roli, Giorgio Giacinto, F. Roli, 2001, Image Vis. Comput..

Assessment of Seismic Site Effects in 2-D Alluvial Valleys Using Neural Networks

Roberto Paolucci, Giorgio Giacinto, Pietro Colli, 2000 .

Adaptive Selection of Image Classifiers

Fabio Roli, Giorgio Giacinto, F. Roli, 1997, ICIAP.

Giorgio Giacinto, 2015, Trans. Mach. Learn. Data Min..

On the Robustness of Mobile Device Fingerprinting: Can Mobile Users Escape Modern Web-Tracking Mechanisms?

Thorsten Holz, Giorgio Giacinto, Davide Maiorca, 2015, ACSAC 2015.

Defensive Programming for Smart Home Cybersecurity

Ludovico Iovino, Giorgio Giacinto, Maria Teresa Rossi, 2020, 2020 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW).

Pattern Recognition and Information Fusion for Ambient and Computer Network Security

Fabio Roli, Luca Didaci, Giorgio Giacinto, 2004 .

IntelliAV: Toward the Feasibility of Building Intelligent Anti-malware on Android Devices

Mansour Ahmadi, Giorgio Giacinto, Angelo Sotgiu, 2017, CD-MAKE.

Combination of Experts by Classifiers in Similarity Score Spaces

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2008, SSPR/SPR.

Dynamic Linear Combination of Two-Class Classifiers

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2010, SSPR/SPR.

On the Effectiveness of Fingerprinting Mobile Devices Investigating Modern Web-Tracking Mechanisms

Thorsten Holz, Giorgio Giacinto, Davide Maiorca, 2015 .

Instance-Based Relevance Feedback for Image Retrieval

Fabio Roli, Giorgio Giacinto, F. Roli, 2004, NIPS.

Comparison and combination of adaptive query shifting and feature relevance learning for content-based image retrieval

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2001, Proceedings 11th International Conference on Image Analysis and Processing.

PharmaGuard: Automatic identification of illegal search-indexed online pharmacies

Fabio Roli, Michael Lund, Giorgio Giacinto, 2015, 2015 IEEE 2nd International Conference on Cybernetics (CYBCONF).

HMM-Web: A Framework for the Detection of Attacks Against Web Applications

Giorgio Giacinto, Davide Ariu, Igino Corona, 2009, 2009 IEEE International Conference on Communications.

Machine Learning in Security Applications

Roberto Tronci, Giorgio Giacinto, Davide Ariu, 2015, Trans. Mach. Learn. Data Min..

Poisoning behavioral malware clustering pdf

Fabio Roli, Konrad Rieck, Giorgio Giacinto, 2014, AISec '14.

A Study on the Evaluation of Relevance Feedback in Multi-tagged Image Datasets

Roberto Tronci, Giorgio Giacinto, Luca Piras, 2011, 2011 IEEE International Symposium on Multimedia.

A theoretical framework for dynamic classifier selection

Fabio Roli, Giorgio Giacinto, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Scalable fine-grained behavioral clustering of HTTP-based malware

Roberto Perdisci, Giorgio Giacinto, Davide Ariu, 2013, Comput. Networks.

K-Nearest Neighbors directed synthetic images injection

Giorgio Giacinto, Luca Piras, 2010, 11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10.

Ensemble learning for Intrusion Detection in Computer Networks

Fabio Roli, Luca Didaci, Giorgio Giacinto, 2002 .

The PRA and AmILAB at ImageCLEF 2012 Photo Flickr Annotation Task

Roberto Tronci, Giorgio Giacinto, Luca Piras, 2012, CLEF.

Neighborhood-based feature weighting for relevance feedback in content-based retrieval

Giorgio Giacinto, Luca Piras, 2009, 2009 10th Workshop on Image Analysis for Multimedia Interactive Services.

Comparison and combination of statistical and Neural Network algorithms for remote-sensing image classification

Fabio Roli, Giorgio Giacinto, Gianni Vernazza, 1997 .

Fast Image Classification with Reduced Multiclass Support Vector Machines

Fabio Roli, Marco Melis, Giorgio Fumera, 2015, ICIAP.

Multimodal-based Diversified Summarization in Social Image Retrieval

Francesco G. B. De Natale, Giulia Boato, Duc-Tien Dang-Nguyen, 2015, MediaEval.

The COMPARES Project: COnnectionist Methods for Preprocessing and Analysis of REmote Sensing Data

Fabio Roli, Jim Austin, Gianni Vernazza, 1997, ICIAP.

A hybrid approach for retrieving diverse social images of landmarks

Francesco G. B. De Natale, Giulia Boato, Duc-Tien Dang-Nguyen, 2015, 2015 IEEE International Conference on Multimedia and Expo (ICME).

Design of effective multiple classifier systems by clustering of classifiers

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

Do Gradient-based Explanations Tell Anything About Adversarial Robustness to Android Malware? pdf

Fabio Roli, Marco Melis, Giorgio Giacinto, 2020, ArXiv.

Who Are You? A Statistical Approach to Measuring User Authenticity

Sakshi Jain, Markus Dürmuth, Giorgio Giacinto, 2016, NDSS.

Detecting Misuse of Google Cloud Messaging in Android Badware

Mansour Ahmadi, Steven Arzt, Giorgio Giacinto, 2016, SPSM@CCS.

Bayesian relevance feedback for content-based image retrieval

Fabio Roli, Giorgio Giacinto, 2004, Pattern Recognit..

Security Evaluation of Support Vector Machines in Adversarial Environments pdf

Fabio Roli, Blaine Nelson, Benjamin I. P. Rubinstein, 2014, ArXiv.

Selection of image classifiers

Fabio Roli, Giorgio Giacinto, Giorgio Fumera, 2000 .

DroidSieve: Fast and Accurate Classification of Obfuscated Android Malware

Mansour Ahmadi, Lorenzo Cavallaro, Giorgio Giacinto, 2017, CODASPY.

HMMPayl: an application of HMM to the analysis of the HTTP Payload

Giorgio Giacinto, Davide Ariu, 2010, WAPA.

Fusion of multiple classifiers for intrusion detection in computer networks

Fabio Roli, Luca Didaci, Giorgio Giacinto, 2003, Pattern Recognit. Lett..

Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2011, MCS.

Sensing Attacks in Computers Networks with Hidden Markov Models

Roberto Perdisci, Giorgio Giacinto, Davide Ariu, 2007, MLDM.

Dissimilarity Representation in Multi-feature Spaces for Image Retrieval

Giorgio Giacinto, Luca Piras, 2011, ICIAP.

Retrieval of Diverse Images by Pre-filtering and Hierarchical Clustering

Francesco G. B. De Natale, Giulia Boato, Duc-Tien Dang-Nguyen, 2014, MediaEval.

Looking at the bag is not enough to find the bomb: an evasion of structural methods for malicious PDF files detection

Giorgio Giacinto, Igino Corona, Davide Maiorca, 2013, ASIA CCS '13.

Ensembles of Neural Networks for Soft Classification of Remote Sensing Images

Fabio Roli, Giorgio Giacinto, F. Roli, 1997 .

Yet Another Cybersecurity Roadmapping Methodology

Fabio Roli, Luca Didaci, Giorgio Fumera, 2015, 2015 10th International Conference on Availability, Reliability and Security.

Machine learning in computer forensics (and the lessons learned from machine learning in computer security)

Fabio Roli, Giorgio Giacinto, Davide Ariu, 2011, AISec '11.

Score Selection Techniques for Fingerprint Multi-modal Biometric Authentication

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2005, ICIAP.

Designing multiple biometric systems: Measures of ensemble effectiveness

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2009, Eng. Appl. Artif. Intell..

Detection of Malicious Scripting Code Through Discriminant and Adversary-Aware API Analysis

Giorgio Giacinto, Battista Biggio, Igino Corona, 2017, ITASEC.

Multimodal Retrieval with Diversification and Relevance Feedback for Tourist Attraction Images

Francesco G. B. De Natale, Giulia Boato, Duc-Tien Dang-Nguyen, 2017, ACM Trans. Multim. Comput. Commun. Appl..

Nearest-prototype relevance feedback for content based image retrieval

Fabio Roli, Giorgio Giacinto, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Moving Targets in Computer Security and Multimedia Retrieval

Giorgio Giacinto, 2011, Trans. Mach. Learn. Data Min..

McPAD and HMMWeb: two different approaches for the detection of attacks against Web applications

Fabio Roli, Giorgio Giacinto, Davide Ariu, 2008 .

Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

Mansour Ahmadi, Giorgio Giacinto, Dmitry Ulyanov, 2015, CODASPY.

Convolutional neural networks for relevance feedback in content based image retrieval

Giorgio Giacinto, Lorenzo Putzu, Luca Piras, 2020, Multimedia Tools and Applications.

Detection of Server-side Web Attacks

Giorgio Giacinto, Igino Corona, 2010, WAPA.

Dynamic score combination of binary experts

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2008, 2008 19th International Conference on Pattern Recognition.

Reject option with multiple thresholds

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2000, Pattern Recognit..

Intrusion detection in computer networks by a modular ensemble of one-class classifiers

Fabio Roli, Roberto Perdisci, Giorgio Giacinto, 2008, Inf. Fusion.

Network Intrusion Detection by Combining One-Class Classifiers

Fabio Roli, Roberto Perdisci, Giorgio Giacinto, 2005, ICIAP.

McPAD: A multiple classifier system for accurate payload-based anomaly detection

Wenke Lee, Roberto Perdisci, Giorgio Giacinto, 2009, Comput. Networks.

Moving targets: when data classes depend on subjective judgement, or they are crafted by an adversary to mislead pattern analysis algorithms - the cases of content based image retrieval and adversarial classification

Giorgio Giacinto, 2010, ICDM 2010.

Instance-Based Relevance Feedback in Image Retrieval Using Dissimilarity Spaces

Fabio Roli, Giorgio Giacinto, F. Roli, 2008, Case-Based Reasoning on Images and Signals.

A simulated annealing algorithm for the optimization of communication networks

Giorgio Giacinto, Eugenio Costamagna, Alessandra Fanni, 1995, Proceedings of ISSE'95 - International Symposium on Signals, Systems and Electronics.

Design of Multiple Classifier Systems

Fabio Roli, Giorgio Giacinto, F. Roli, 2002 .

Alarm clustering for intrusion detection systems in computer networks

Fabio Roli, Roberto Perdisci, Giorgio Giacinto, 2005, Eng. Appl. Artif. Intell..

Multiple Reject Thresholds for Improving Classification Reliability

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2000, SSPR/SPR.

A Score Decidability Index for Dynamic Score Combination

Fabio Roli, Roberto Tronci, Giorgio Giacinto, 2010, 2010 20th International Conference on Pattern Recognition.

Adversarial attacks against intrusion detection systems: Taxonomy, solutions and open issues

Fabio Roli, Giorgio Giacinto, Igino Corona, 2013, Inf. Sci..

Unsupervised learning of neural network ensembles for image classification

Fabio Roli, Giorgio Fumera, Giorgio Giacinto, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

AUTOMATIC DE-NOISING FOR IMAGE ANNOTATION USING LATENT SEMANTIC ANALYSIS

Hussein Chible, Giorgio Giacinto, Ammar J. Fattah, 2014 .

One-and-a-Half-Class Multiple Classifier Systems for Secure Learning Against Evasion Attacks at Test Time

Patrick P. K. Chan, Daniel S. Yeung, Zhi-Min He, 2015, MCS.

HMMPayl: An intrusion detection system based on Hidden Markov Models

Roberto Tronci, Giorgio Giacinto, Davide Ariu, 2011, Comput. Secur..

Open Issues on Codebook Generation in Image Classification Tasks

Giorgio Giacinto, Luca Piras, G. Giacinto, 2014, MLDM.

Dynamic classifier selection based on multiple classifier behaviour

Fabio Roli, Giorgio Giacinto, F. Roli, 2001, Pattern Recognit..

Query Shifting Based on Bayesian Decision Theory for Content-Based Image Retrieval

Fabio Roli, Giorgio Giacinto, F. Roli, 2002, SSPR/SPR.

Combination of neural and statistical algorithms for supervised classification of remote-sensing image

Lorenzo Bruzzone, Fabio Roli, Giorgio Giacinto, 2000, Pattern Recognit. Lett..

Classifier fusion for multisensor image recognition

Sebastiano B. Serpico, Fabio Roli, Giorgio Giacinto, 2001, SPIE Remote Sensing.

DETECTING DANGEROUS BEHAVIORS OF MOBILE OBJECTS IN PARKING AREAS

Fabio Roli, Gian Luca Foresti, Giorgio Giacinto, 2003 .

Methods for Designing Multiple Classifier Systems

Fabio Roli, Gianni Vernazza, Giorgio Giacinto, 2001, Multiple Classifier Systems.

An approach to the automatic design of multiple classifier systems

Fabio Roli, Giorgio Giacinto, F. Roli, 2001, Pattern Recognit. Lett..

Pattern Recognition for Intrusion Detection in Computer Networks

Fabio Roli, Giorgio Giacinto, F. Roli, 2003 .

Intrusion Detection in Computer Systems Using Multiple Classifier Systems

Fabio Roli, Giorgio Giacinto, Igino Corona, 2008 .

Do gradient-based explanations tell anything about adversarial robustness to android malware?

Fabio Roli, Marco Melis, Giorgio Giacinto, 2020, International Journal of Machine Learning and Cybernetics.

PowerDecode: A PowerShell Script Decoder Dedicated to Malware Analysis

Giorgio Giacinto, Davide Maiorca, Giuseppe Mario Malandrone, 2021, ITASEC.

APPLICATION OF THE SUFFICIENCY PRINCIPLE IN ACCELERATION OF NEURAL NETWORKS TRAINING

Fabio Roli, Didier Puzenat, Giorgio Giacinto, 2007 .

3D RECONSTRUCTION OF VESSELS USING ‘CGVIEW’

Antonio Berlanga, Giorgio Giacinto, Riccardo Scateni, 2012 .

SUPERVISED PATTERN CLASSIFICATION TECHNIQUES FOR OIL SPILL CLASSIFICATION IN SAR IMAGES: PRELIMINARY RESULTS

Giorgio Giacinto, Maurizio Migliaccio, A. Gambardella, 2006 .