Using Heterogeneous Features for Anti-spam Filters. - Francesco Gargiulo 001; Antonio Penta; Antonio Picariello; Carlo Sansone (DEXA Workshops, 2008)

Combining visual and textual features for filtering spam emails. - Francesco Gargiulo 001; Carlo Sansone (ICPR, 2008)

Visual and OCR-Based Features for Detecting Image Spam. - Francesco Gargiulo 001; Carlo Sansone (PRIS, 2008)

Pattern Recognition Approaches for Classifying IP Flows. - Alice Este; Francesco Gargiulo 001; Francesco Gringoli; Luca Salgarelli; Carlo Sansone (SSPR/SPR, 2008)

A Self-training Approach for Automatically Labeling IP Traffic Traces. - Francesco Gargiulo 001; Claudio Mazzariello; Carlo Sansone (Computer Recognition Systems 2, 2008)

Network Protocol Verification by a Classifier Selection Ensemble. - Francesco Gargiulo 001; Ludmila I. Kuncheva; Carlo Sansone (MCS, 2009)

Multiple Classifier Systems in Adversarial Environments: "Challenges and Solutions". - Francesco Gargiulo 001 (2009)

A Personal Antispam System Based on a Behaviour-Knowledge Space Approach. - Francesco Gargiulo 001; Antonio Penta; Antonio Picariello; Carlo Sansone (Applications of Supervised and Unsupervised Ensemble Methods, 2009)

Identification of Traffic Flows Hiding behind TCP Port 80. - Alberto Dainotti; Francesco Gargiulo 001; Ludmila I. Kuncheva; Antonio Pescapè; Carlo Sansone (ICC, 2010)

Improving Performance of Network Traffic Classification Systems by Cleaning Training Data. - Francesco Gargiulo 001; Carlo Sansone (ICPR, 2010)

SOCIAL: Self-Organizing ClassIfier ensemble for Adversarial Learning. - Francesco Gargiulo 001; Carlo Sansone (MCS, 2010)

Automatically building datasets of labeled IP traffic traces: A self-training approach. - Francesco Gargiulo 001; Claudio Mazzariello; Carlo Sansone (Appl. Soft Comput., 2012)

A Semantic Search Engine in the Cloud. - Flora Amato; Francesco Gargiulo 001; Antonino Mazzeo; Sara Romano; Carlo Sansone (3PGCIC, 2013)

Combining Syntactic and Semantic Vector Space Models in the Health Domain by using a Clustering Ensemble. - Flora Amato; Francesco Gargiulo 001; Antonino Mazzeo; Sara Romano; Carlo Sansone (HEALTHINF, 2013)

Multiple Classifier Systems for Image Forgery Detection. - Davide Cozzolino; Francesco Gargiulo 001; Carlo Sansone; Luisa Verdoliva (ICIAP (2), 2013)

Multiple Classifier Systems: Theory, Applications and Tools. - Francesco Gargiulo 001; Claudio Mazzariello; Carlo Sansone (Handbook on Neural Information Processing, 2013)

A Method for Topic Detection in Great Volumes of Data. - Flora Amato; Francesco Gargiulo 001; Alessandro Maisto; Antonino Mazzeo; Serena Pelosi; Carlo Sansone (DATA (Revised Selected Papers), 2014)

One-Class SVM Based Approach for Detecting Anomalous Audio Events. - Francesco Aurino; Mariano Folla; Francesco Gargiulo 001; Vincenzo Moscato; Antonio Picariello; Carlo Sansone (INCoS, 2014)

A Study on Textual Features for Medical Records Classification. - Anita Alicante; Flora Amato; Giovanni Cozzolino; Francesco Gargiulo 001; Nicla Improda; Antonino Mazzeo (InMed, 2014)

A Topic Detection Method for high dimensional datasets. - Flora Amato; Francesco Gargiulo 001; Pasquale Damiani (SEBD, 2014)

Finding unexplained human behaviors in Social Networks. - Fabio Persia; Silvestro Roberto Poccia; Flora Amato; Francesco Gargiulo 001; Aniello De Santo (SEBD, 2014)

Suitability of a low cost system for quantitative motion capture applications. - Antonio Fratini; Francesco Gargiulo 001; Francesca Lampognana; Vincenzo Moscato; Carlo Sansone; Mario Sansone (FG, 2015)

Decision Tree-Based Multiple Classifier Systems: An FPGA Perspective. - Mario Barbareschi; Salvatore Del Prete; Francesco Gargiulo 001; Antonino Mazzeo; Carlo Sansone (MCS, 2015)

Subject identification via ECG fiducial-based systems: Influence of the type of QT interval correction. - Francesco Gargiulo 001; Antonio Fratini; Mario Sansone; Carlo Sansone (Comput. Methods Programs Biomed., 2015)

A Methodology to Reduce the Complexity of Validation Model Creation from Medical Specification Document. - Francesco Gargiulo 001; Stefano Silvestri; Mariarosaria Fontanella; Mario Ciampi (HEALTHINF, 2017)

A Deep Learning Approach for Scientific Paper Semantic Ranking. - Francesco Gargiulo 001; Stefano Silvestri; Mariarosaria Fontanella; Mario Ciampi; Giuseppe De Pietro (IIMSS, 2017)

A Big Data architecture for knowledge discovery in PubMed articles. - Francesco Gargiulo 001; Stefano Silvestri; Mario Ciampi (ISCC, 2017)

Deep Convolution Neural Network for Extreme Multi-label Text Classification. - Francesco Gargiulo 001; Stefano Silvestri; Mario Ciampi (HEALTHINF, 2018)

A clustering based methodology to support the translation of medical specifications to software models. - Francesco Gargiulo 001; Stefano Silvestri; Mario Ciampi (Appl. Soft Comput., 2018)

Exploit Hierarchical Label Knowledge for Deep Learning. - Francesco Gargiulo 001; Stefano Silvestri; Mario Ciampi (CBMS, 2019)

Improving Biomedical Information Extraction with Word Embeddings Trained on Closed-Domain Corpora. - Stefano Silvestri; Francesco Gargiulo 001; Mario Ciampi (ISCC, 2019)

An IoT-based HIS for Healthcare Risk Management and Cost Control: A Proposal. - Raffaele Chianese; Francesco Gargiulo 001; Michele Arciprete (ISCSIC, 2019)

A Big Data Architecture for the Extraction and Analysis of EHR Data. - Stefano Silvestri; Angelo Esposito; Francesco Gargiulo 001; Mario Sicuranza; Mario Ciampi; Giuseppe De Pietro (SERVICES, 2019)

Deep neural network for hierarchical extreme multi-label text classification. - Francesco Gargiulo 001; Stefano Silvestri; Mario Ciampi; Giuseppe De Pietro (Appl. Soft Comput., 2019)

Exploit Multilingual Language Model at Scale for ICD-10 Clinical Text Classification. - Stefano Silvestri; Francesco Gargiulo 001; Mario Ciampi; Giuseppe De Pietro (ISCC, 2020)

Crosslingual named entity recognition for clinical de-identification applied to a COVID-19 Italian data set. - Rosario Catelli; Francesco Gargiulo 001; Valentina Casola; Giuseppe De Pietro; Hamido Fujita; Massimo Esposito (Appl. Soft Comput., 2020)

A Risk and Priority Model for Cost-Benefit Analysis and Work Scheduling within Predictive Maintenance Scenarios. - Raffaele Chianese; Luca Cicala; Cesario Vincenzo Angelino; Francesco Gargiulo 001; Davide Matarazzo (ETFA, 2021)

Clinical de-identification using sub-document analysis and ELECTRA. - Rosario Catelli; Francesco Gargiulo 001; Emanuele Damiano; Massimo Esposito; Giuseppe De Pietro (ICDH, 2021)

A Novel COVID-19 Data Set and an Effective Deep Learning Approach for the De-Identification of Italian Medical Records. - Rosario Catelli; Francesco Gargiulo 001; Valentina Casola; Giuseppe De Pietro; Hamido Fujita; Massimo Esposito (IEEE Access, 2021)

An ELECTRA-Based Model for Neural Coreference Resolution. - Francesco Gargiulo 001; Aniello Minutolo; Raffaele Guarasci; Emanuele Damiano; Giuseppe De Pietro; Hamido Fujita; Massimo Esposito (IEEE Access, 2022)

Can Justice be a measurable value for AI? Proposed evaluation of the relationship between NLP models and principles of Justice. - Lidia Marassi; Narendra Patwardhan; Francesco Gargiulo 001 (HCAI4U@CHItaly, 2023)

The European AI Tango: Balancing Regulation Innovation and Competitiveness. - Christina Todorova; George Sharkov; Huib Aldewereld; Stefan Leijnen; Alireza Dehghani; Stefano Marrone 002; Carlo Sansone; Maurice Lynch; John Pugh; Tarry Singh; Kitti Mezei; Péter Antal; et al. (HCAIep, 2023)

Dealing with clinical outcome and fair cost: the FIDCARE platform. - Raffaele Chianese; Leopoldo Beneduce; Francesco Gargiulo 001; Stefano Marrone 001; Laura Verde (EASE, 2024)

Understanding Gender and Ethnicity Bias in Large Language Models. - Ojasvi Gupta; Rajesh R. Jaiswal; Stefano Marrone 002; Lidia Marassi; Francesco Gargiulo 001 (HCAIep, 2024)

Enhancing Text Classification Using BERT: A Transfer Learning Approach. - Haider Zaman-Khan; Muddasar Naeem; Raffaele Guarasci; Umamah Bint Khalid; Massimo Esposito; Francesco Gargiulo 001 (Computación y Sistemas (CyS), 2024)

The effects of quantum hardware properties on the performances of variational quantum learning algorithms. - Giuseppe Buonaiuto; Francesco Gargiulo 001; Giuseppe De Pietro; Massimo Esposito; Marco Pota (Quantum Mach. Intell., 2024)