Francesco Gargiulo

Orcid: 0000-0003-0400-3332

Affiliations:
  • National Research Council, Institute for High Performance Computing and Networking (ICAR-CNR), Naples, Italy
  • University of Naples Federico II, Department of Computer Science and Systems, Italy (PhD 2009)


According to our database1, Francesco Gargiulo authored at least 42 papers between 2008 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
The European AI Tango: Balancing Regulation Innovation and Competitiveness.
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.
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.
IEEE Access, 2022

2021
A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records.
IEEE Access, 2021

Clinical de-identification using sub-document analysis and ELECTRA.
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.
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.
Appl. Soft Comput., 2020

Exploit Multilingual Language Model at Scale for ICD-10 Clinical Text Classification.
Proceedings of the IEEE Symposium on Computers and Communications, 2020

2019
Deep neural network for hierarchical extreme multi-label text classification.
Appl. Soft Comput., 2019

A Big Data Architecture for the Extraction and Analysis of EHR Data.
Proceedings of the 2019 IEEE World Congress on Services, 2019

An IoT-based HIS for Healthcare Risk Management and Cost Control: A Proposal.
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.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Exploit Hierarchical Label Knowledge for Deep Learning.
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.
Appl. Soft Comput., 2018

Deep Convolution Neural Network for Extreme Multi-label Text Classification.
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.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

A Deep Learning Approach for Scientific Paper Semantic Ranking.
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.
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.
Comput. Methods Programs Biomed., 2015

Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective.
Proceedings of the Multiple Classifier Systems - 12th International Workshop, 2015

Suitability of a low cost system for quantitative motion capture applications.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2014
Finding unexplained human behaviors in Social Networks.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

A Topic Detection Method for high dimensional datasets.
Proceedings of the 22nd Italian Symposium on Advanced Database Systems, 2014

A Study on Textual Features for Medical Records Classification.
Proceedings of the Innovation in Medicine and Healthcare 2014, 2014

One-Class SVM Based Approach for Detecting Anomalous Audio Events.
Proceedings of the 2014 International Conference on Intelligent Networking and Collaborative Systems, 2014

A Method for Topic Detection in Great Volumes of Data.
Proceedings of the Data Management Technologies and Applications, 2014

2013
Multiple Classifier Systems: Theory, Applications and Tools.
Proceedings of the Handbook on Neural Information Processing, 2013

Multiple Classifier Systems for Image Forgery Detection.
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.
Proceedings of the HEALTHINF 2013, 2013

A Semantic Search Engine in the Cloud.
Proceedings of the Eighth International Conference on P2P, 2013

2012
Automatically building datasets of labeled IP traffic traces: A self-training approach.
Appl. Soft Comput., 2012

2010
SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning.
Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Improving Performance of Network Traffic Classification Systems by Cleaning Training Data.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Identification of Traffic Flows Hiding behind TCP Port 80.
Proceedings of IEEE International Conference on Communications, 2010

2009
A Personal Antispam System Based on a Behaviour-Knowledge Space Approach.
Proceedings of the Applications of Supervised and Unsupervised Ensemble Methods, 2009

Multiple Classifier Systems in Adversarial Environments: "Challenges and Solutions".
PhD thesis, 2009

Network Protocol Verification by a Classifier Selection Ensemble.
Proceedings of the Multiple Classifier Systems, 8th International Workshop, 2009

2008
A Self-training Approach for Automatically Labeling IP Traffic Traces.
Proceedings of the Computer Recognition Systems 2, 2008

Pattern Recognition Approaches for Classifying IP Flows.
Proceedings of the Structural, 2008

Visual and OCR-Based Features for Detecting Image Spam.
Proceedings of the Pattern Recognition in Information Systems, 2008

Combining visual and textual features for filtering spam emails.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Using Heterogeneous Features for Anti-spam Filters.
Proceedings of the 19th International Workshop on Database and Expert Systems Applications (DEXA 2008), 2008


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