Francesco Gargiulo

Proceedings of the 2023 Conference on Human Centered Artificial Intelligence: Education and Practice, 2023

Can Justice be a measurable value for AI? Proposed evaluation of the relationship between NLP models and principles of Justice.

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[DOI]

Lidia Marassi

Narendra Patwardhan

Cesario Vincenzo Angelino

Proceedings of the First Workshop on User Perspectives in Human-Centred Artificial Intelligence (HCAI4U 2023) co-located with the 15th Biannual Conference of the Italian SIGCHI Chapter (CHItaly 2023), 2023

2022

An ELECTRA-Based Model for Neural Coreference Resolution.

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[DOI]

IEEE Access, 2022

2021

A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records.

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[DOI]

IEEE Access, 2021

Clinical de-identification using sub-document analysis and ELECTRA.

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[DOI]

Proceedings of the IEEE International Conference on Digital Health, 2021

A Risk and Priority Model for Cost-Benefit Analysis and Work Scheduling within Predictive Maintenance Scenarios.

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[DOI]

Raffaele Chianese

Luca Cicala

Davide Matarazzo

Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021

2020

Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set.

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[DOI]

Appl. Soft Comput., 2020

Exploit Multilingual Language Model at Scale for ICD-10 Clinical Text Classification.

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[DOI]

Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019

Deep neural network for hierarchical extreme multi-label text classification.

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[DOI]

Appl. Soft Comput., 2019

A Big Data Architecture for the Extraction and Analysis of EHR Data.

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[DOI]

Proceedings of the 2019 IEEE World Congress on Services, 2019

An IoT-based HIS for Healthcare Risk Management and Cost Control: A Proposal.

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[DOI]

Raffaele Chianese

Michele Arciprete

Proceedings of the ISCSIC 2019: 3rd International Symposium on Computer Science and Intelligent Control, 2019

Improving Biomedical Information Extraction with Word Embeddings Trained on Closed-Domain Corpora.

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[DOI]

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Exploit Hierarchical Label Knowledge for Deep Learning.

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[DOI]

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

A clustering based methodology to support the translation of medical specifications to software models.

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[DOI]

Appl. Soft Comput., 2018

Deep Convolution Neural Network for Extreme Multi-label Text Classification.

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[DOI]

Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018), 2018

2017

A Big Data architecture for knowledge discovery in PubMed articles.

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[DOI]

Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

A Deep Learning Approach for Scientific Paper Semantic Ranking.

[BibT_eX]

[DOI]

Mariarosaria Fontanella

Giuseppe De Pietro

Proceedings of the Intelligent Interactive Multimedia Systems and Services 2017, 2017

A Methodology to Reduce the Complexity of Validation Model Creation from Medical Specification Document.

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[DOI]

Mariarosaria Fontanella

Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017

2015

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

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[DOI]

Comput. Methods Programs Biomed., 2015

Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective.

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[DOI]

Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Suitability of a low cost system for quantitative motion capture applications.

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[DOI]

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014

Finding unexplained human behaviors in Social Networks.

[BibT_eX]

Fabio Persia

Silvestro Roberto Poccia

Flora Amato

Aniello De Santo

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

A Topic Detection Method for high dimensional datasets.

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Flora Amato

Pasquale Damiani

Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

A Study on Textual Features for Medical Records Classification.

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[DOI]

Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

One-Class SVM Based Approach for Detecting Anomalous Audio Events.

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[DOI]

Proceedings of the 2014 International Conference on Intelligent Networking and Collaborative Systems, 2014

A Method for Topic Detection in Great Volumes of Data.

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[DOI]

Proceedings of the Data Management Technologies and Applications, 2014

2013

Multiple Classifier Systems: Theory, Applications and Tools.

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[DOI]

Claudio Mazzariello

Proceedings of the Handbook on Neural Information Processing, 2013

Multiple Classifier Systems for Image Forgery Detection.

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[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

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

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Proceedings of the HEALTHINF 2013, 2013

A Semantic Search Engine in the Cloud.

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[DOI]

Proceedings of the Eighth International Conference on P2P, 2013

2012

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

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[DOI]

Claudio Mazzariello

Appl. Soft Comput., 2012

2010

SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning.

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[DOI]

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

Improving Performance of Network Traffic Classification Systems by Cleaning Training Data.

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[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Identification of Traffic Flows Hiding behind TCP Port 80.

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[DOI]

Proceedings of IEEE International Conference on Communications, 2010

2009

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

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[DOI]

Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Multiple Classifier Systems in Adversarial Environments: "Challenges and Solutions".

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[DOI]

PhD thesis, 2009

Network Protocol Verification by a Classifier Selection Ensemble.

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[DOI]

Ludmila I. Kuncheva

Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

2008

A Self-training Approach for Automatically Labeling IP Traffic Traces.

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[DOI]

Claudio Mazzariello

Proceedings of the Computer Recognition Systems 2, 2008

Pattern Recognition Approaches for Classifying IP Flows.

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[DOI]

Proceedings of the Structural, 2008

Visual and OCR-Based Features for Detecting Image Spam.

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Proceedings of the Pattern Recognition in Information Systems, 2008

Combining visual and textual features for filtering spam emails.

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[DOI]