Giorgio Fumera

Orcid: 0000-0001-5300-226X

According to our database1, Giorgio Fumera authored at least 118 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Synthetic Data for Video Surveillance Applications of Computer Vision: A Review.
Int. J. Comput. Vis., October, 2024

A Risk Estimation Study of Native Code Vulnerabilities in Android Applications.
CoRR, 2024

2023
Dropout injection at test time for post hoc uncertainty quantification in neural networks.
Inf. Sci., October, 2023

Human-in-the-loop cross-domain person re-identification.
Expert Syst. Appl., September, 2023

Trustworthy AI in Video Surveillance: The IMMAGINA Project.
Proceedings of the Italia Intelligenza Artificiale, 2023

Evaluation of Robustness Metrics for Defense of Machine Learning Systems.
Proceedings of the International Conference on Military Communications and Information Systems, 2023

Specialise to Generalise: The Person Re-identification Case.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

BLUES: Before-reLU-EStimates Bayesian Inference for Crowd Counting.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Human-in-the-Loop Person Re-Identification as a Defence Against Adversarial Attacks.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Adversarial Attacks Against Uncertainty Quantification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Scene-specific crowd counting using synthetic training images.
Pattern Recognit., 2022

A Robust SVM Color-Based Food Segmentation Algorithm for the Production Process of a Traditional Carasau Bread.
IEEE Access, 2022

On the Effectiveness of Synthetic Data Sets for Training Person Re-identification Models.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

On the Evaluation of Video-Based Crowd Counting Models.
Proceedings of the Image Analysis and Processing - ICIAP 2022, 2022

2021
Microwave Tomography of the Neck with ANNs: Preliminary Results with Simplified Numerical Phantoms.
Proceedings of the IEEE International Conference on Imaging Systems and Techniques, 2021

Automatic Myelofibrosis Grading from Silver-Stained Images.
Proceedings of the Computer Analysis of Images and Patterns, 2021

How Realistic Should Synthetic Images Be for Training Crowd Counting Models?
Proceedings of the Computer Analysis of Images and Patterns, 2021

2020
F-measure curves: A tool to visualize classifier performance under imbalance.
Pattern Recognit., 2020

Deep neural rejection against adversarial examples.
EURASIP J. Inf. Secur., 2020

An Empirical Evaluation of Cross-scene Crowd Counting Performance.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Investigating Synthetic Data Sets for Crowd Counting in Cross-scene Scenarios.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Online Domain Adaptation for Person Re-Identification with a Human in the Loop.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
DEICTIC: A compositional and declarative gesture description based on hidden markov models.
Int. J. Hum. Comput. Stud., 2019

2018
Multi-stage ranking approach for fast person re-identification.
IET Comput. Vis., 2018

Progressive boosting for class imbalance and its application to face re-identification.
Expert Syst. Appl., 2018

F-Measure Curves for Visualizing Classifier Performance with Imbalanced Data.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2018

2017
A parameter randomization approach for constructing classifier ensembles.
Pattern Recognit., 2017

Designing multi-label classifiers that maximize F measures: State of the art.
Pattern Recognit., 2017

Statistical Meta-Analysis of Presentation Attacks for Secure Multibiometric Systems.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Security Evaluation of Pattern Classifiers under Attack.
CoRR, 2017

Progressive Boosting for Class Imbalance.
CoRR, 2017

Infinity-Norm Support Vector Machines Against Adversarial Label Contamination.
Proceedings of the First Italian Conference on Cybersecurity (ITASEC17), 2017

Gesture Modelling and Recognition by Integrating Declarative Models and Pattern Recognition Algorithms.
Proceedings of the Image Analysis and Processing - ICIAP 2017, 2017

Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Social Engineering 2.0: A Foundational Work: Invited Paper.
Proceedings of the Computing Frontiers Conference, 2017

2016
Multimodal Person Reidentification Using RGB-D Cameras.
IEEE Trans. Circuits Syst. Video Technol., 2016

Super-Sparse Learning in Similarity Spaces.
IEEE Comput. Intell. Mag., 2016

A Multi-Stage Approach for Fast Person Re-identification.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

On Security and Sparsity of Linear Classifiers for Adversarial Settings.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Classifier Ensembles with Trajectory Under-Sampling for Face Re-Identification.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Loss factors for learning Boosting ensembles from imbalanced data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Secure Kernel Machines against Evasion Attacks.
Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016

An Extended Sparse Classification Framework for Domain Adaptation in Video Surveillance.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
Anti-spoofing, Multimodal.
Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Adversarial Biometric Recognition : A review on biometric system security from the adversarial machine-learning perspective.
IEEE Signal Process. Mag., 2015

An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Is Feature Selection Secure against Training Data Poisoning?
Proceedings of the 32nd International Conference on Machine Learning, 2015

Fast Image Classification with Reduced Multiclass Support Vector Machines.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Super-Sparse Regression for Fast Age Estimation from Faces at Test Time.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

Sparse support faces.
Proceedings of the International Conference on Biometrics, 2015

Yet Another Cybersecurity Roadmapping Methodology.
Proceedings of the 10th International Conference on Availability, Reliability and Security, 2015

2014
People Search with Textual Queries About Clothing Appearance Attributes.
Proceedings of the Person Re-Identification, 2014

Multimodal Anti-spoofing in Biometric Recognition Systems.
Proceedings of the Handbook of Biometric Anti-Spoofing, 2014

Security Evaluation of PatternClassifiers under Attack.
IEEE Trans. Knowl. Data Eng., 2014

Pattern Recognition Systems under Attack: Design Issues and Research Challenges.
Int. J. Pattern Recognit. Artif. Intell., 2014

Security Evaluation of Support Vector Machines in Adversarial Environments.
CoRR, 2014

Sample Size Issues in the Choice between the Best Classifier and Fusion by Trainable Combiners.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Learning of Multilabel Classifiers.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Multi-label classification with a reject option.
Pattern Recognit., 2013

Threshold optimisation for multi-label classifiers.
Pattern Recognit., 2013

Real-time Appearance-based Person Re-identification Over Multiple KinectTM Cameras.
Proceedings of the VISAPP 2013, 2013

Diversity in Classifier Ensembles: Fertile Concept or Dead End?
Proceedings of the Multiple Classifier Systems, 11th International Workshop, 2013

Poisoning attacks to compromise face templates.
Proceedings of the International Conference on Biometrics, 2013

Pattern Recognition Systems under Attack.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2013

2012
Fast person re-identification based on dissimilarity representations.
Pattern Recognit. Lett., 2012

Security evaluation of biometric authentication systems under real spoofing attacks.
IET Biom., 2012

Analysis of Co-training Algorithm with Very Small Training Sets.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Poisoning Adaptive Biometric Systems.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

Appearance-based people recognition by local dissimilarity representations.
Proceedings of the Multimedia and Security Workshop, 2012

F-measure optimisation in multi-label classifiers.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Evaluation of multimodal biometric score fusion rules under spoof attacks.
Proceedings of the 5th IAPR International Conference on Biometrics, 2012

A General Method for Appearance-Based People Search Based on Textual Queries.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Learning sparse kernel machines with biometric similarity functions for identity recognition.
Proceedings of the IEEE Fifth International Conference on Biometrics: Theory, 2012

Evaluation of serial and parallel multibiometric systems under spoofing attacks.
Proceedings of the IEEE Fifth International Conference on Biometrics: Theory, 2012

2011
A survey and experimental evaluation of image spam filtering techniques.
Pattern Recognit. Lett., 2011

Design of robust classifiers for adversarial environments.
Proceedings of the IEEE International Conference on Systems, 2011

Exploiting Dissimilarity Representations for Person Re-identification.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Classifier Selection Approaches for Multi-label Problems.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

Bagging Classifiers for Fighting Poisoning Attacks in Adversarial Classification Tasks.
Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

A Multiple Component Matching Framework for Person Re-identification.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Exploiting Depth Information for Indoor-Outdoor Scene Classification.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

A Classification Approach with a Reject Option for Multi-label Problems.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Robustness Evaluation of Biometric Systems under Spoof Attacks.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Robustness analysis of likelihood ratio score fusion rule for multimodal biometric systems under spoof attacks.
Proceedings of the International Carnahan Conference on Security Technology, 2011

Robustness of multi-modal biometric verification systems under realistic spoofing attacks.
Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011

Robustness of multi-modal biometric systems under realistic spoof attacks against all traits.
Proceedings of the IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications, 2011

2010
Multiple classifier systems for robust classifier design in adversarial environments.
Int. J. Mach. Learn. Cybern., 2010

Multiple Classifier Systems under Attack.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

2009
Evade Hard Multiple Classifier Systems.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Bayesian Linear Combination of Neural Networks.
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Multiple Classifier Systems for Adversarial Classification Tasks.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

2008
A Theoretical Analysis of Bagging as a Linear Combination of Classifiers.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Adversarial Pattern Classification Using Multiple Classifiers and Randomisation.
Proceedings of the Structural, 2008

Improving Image Spam Filtering Using Image Text Features.
Proceedings of the CEAS 2008, 2008

2007
Ensemble Learning in Linearly Combined Classifiers Via Negative Correlation.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Bayesian Analysis of Linear Combiners.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Image Spam Filtering Using Visual Information.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Image Spam Filtering by Content Obscuring Detection.
Proceedings of the CEAS 2007, 2007

2006
Spam Filtering Based On The Analysis Of Text Information Embedded Into Images.
J. Mach. Learn. Res., 2006

2005
A Theoretical and Experimental Analysis of Linear Combiners for Multiple Classifier Systems.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Dynamics of Variance Reduction in Bagging and Other Techniques Based on Randomisation.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

2004
Analysis of error-reject trade-off in linearly combined multiple classifiers.
Pattern Recognit., 2004

A Two-Stage Classifier with Reject Option for Text Categorisation.
Proceedings of the Structural, 2004

2003
Linear Combiners for Classifier Fusion: Some Theoretical and Experimental Results.
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

Classification with reject option in text categorisation systems.
Proceedings of the 12th International Conference on Image Analysis and Processing (ICIAP 2003), 2003

2002
Support Vector Machines with Embedded Reject Option.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

Performance Analysis and Comparison of Linear Combiners for Classifier Fusion.
Proceedings of the Structural, 2002

An Experimental Comparison of Classifier Fusion Rules for Multimodal Personal Identity Verification Systems.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Analysis of Linear and Order Statistics Combiners for Fusion of Imbalanced Classifiers.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Analysis of Error-Reject Trade-off in Linearly Combined Classifiers.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Adaptive Query Shifting for Content-Based Image Retrieval.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2001

Error Rejection in Linearly Combined Multiple Classifiers.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

A Method for Error Rejection in Multiple Classifier Systems.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001

2000
Reject option with multiple thresholds.
Pattern Recognit., 2000

Selection of Classifiers Based on Multiple Classifier Behaviour.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Multiple Reject Thresholds for Improving Classification Reliability.
Proceedings of the Advances in Pattern Recognition, Joint IAPR International Workshops SSPR 2000 and SPR 2000, [8th International Workshop on Structural and Syntactic Pattern Recognition, 3rd International Workshop on Statistical Techniques in Pattern Recognition], Alicante, Spain, August 30, 2000

Unsupervised Learning of Neural Network Ensembles for Image Classification.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Design of Effective Multiple Classifier Systems by Clustering of Classifiers.
Proceedings of the 15th International Conference on Pattern Recognition, 2000


  Loading...