A PKI-free key agreement protocol for P2P VoIP applications. - Riccardo Pecori (ICC, 2012)

A statistical blind technique for recognition of internet traffic with dependence enforcement. - Riccardo Pecori; Luca Veltri (IWCMC, 2014)

Trust-based routing for Kademlia in a sybil scenario. - Riccardo Pecori; Luca Veltri (SoftCOM, 2014)

A comparison analysis of trust-adaptive approaches to deliver signed public keys in P2P systems. - Riccardo Pecori (NTMS, 2015)

Trust-based storage in a Kademlia network infected by Sybils. - Riccardo Pecori (NTMS, 2015)

Efficient Search of Relevant Structures in Complex Systems. - Laura Sani; Michele Amoretti; Emilio Vicari; Monica Mordonini; Riccardo Pecori; Andrea Roli; Marco Villani 001; Stefano Cagnoni; Roberto Serra (AI*IA, 2016)

Educational Big Data Mining: How to Enhance Virtual Learning Environments. - Pietro Ducange; Riccardo Pecori; Luigi Sarti; Massimo Vecchio (SOCO-CISIS-ICEUTE, 2016)

GPU-Based Parallel Search of Relevant Variable Sets in Complex Systems. - Emilio Vicari; Michele Amoretti; Laura Sani; Monica Mordonini; Riccardo Pecori; Andrea Roli; Marco Villani 001; Stefano Cagnoni; Roberto Serra (WIVACE, 2016)

S-Kademlia: A trust and reputation method to mitigate a Sybil attack in Kademlia. - Riccardo Pecori (Comput. Networks, 2016)

3AKEP: Triple-authenticated key exchange protocol for peer-to-peer VoIP applications. - Riccardo Pecori; Luca Veltri (Comput. Commun., 2016)

A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers. - Pietro Ducange; Giuseppe Mannara; Francesco Marcelloni; Riccardo Pecori; Massimo Vecchio (FUZZ-IEEE, 2017)

The Day After Mirai: A Survey on MQTT Security Solutions After the Largest Cyber-attack Carried Out through an Army of IoT Devices. - Giovanni Perrone; Massimo Vecchio; Riccardo Pecori; Raffaele Giaffreda (IoTBDS, 2017)

Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO. - Gianluigi Silvestri; Laura Sani; Michele Amoretti; Riccardo Pecori; Emilio Vicari; Monica Mordonini; Stefano Cagnoni (WIVACE, 2017)

A Relevance Index Method to Infer Global Properties of Biological Networks. - Marco Villani 001; Laura Sani; Michele Amoretti; Emilio Vicari; Riccardo Pecori; Monica Mordonini; Stefano Cagnoni; Roberto Serra (WIVACE, 2017)

An Integration-Based Approach to Pattern Clustering and Classification. - Laura Sani; Gianluca D'Addese; Riccardo Pecori; Monica Mordonini; Marco Villani 001; Stefano Cagnoni (AI*IA, 2018)

Social Relevance Index for Studying Communities in a Facebook Group of Patients. - Laura Sani; Gianfranco Lombardo; Riccardo Pecori; Paolo Fornacciari; Monica Mordonini; Stefano Cagnoni (EvoApplications, 2018)

Can the Relevance Index be Used to Evolve Relevant Feature Sets? - Laura Sani; Riccardo Pecori; Emilio Vicari; Michele Amoretti; Monica Mordonini; Stefano Cagnoni (EvoApplications, 2018)

A Token-based Protocol for Securing MQTT Communications. - Marco Calabretta; Riccardo Pecori; Luca Veltri (SoftCOM, 2018)

An Improved Relevance Index Method to Search Important Structures in Complex Systems. - Laura Sani; Alberto Bononi; Riccardo Pecori; Michele Amoretti; Monica Mordonini; Andrea Roli; Marco Villani 001; Stefano Cagnoni; Roberto Serra (WIVACE, 2018)

An Iterative Information-Theoretic Approach to the Detection of Structures in Complex Systems. - Marco Villani 001; Laura Sani; Riccardo Pecori; Michele Amoretti; Andrea Roli; Monica Mordonini; Roberto Serra; Stefano Cagnoni (Complex., 2018)

A Virtual Learning Architecture Enhanced by Fog Computing and Big Data Streams. - Riccardo Pecori (Future Internet, 2018)

A Balanced Trust-Based Method to Counter Sybil and Spartacus Attacks in Chord. - Riccardo Pecori; Luca Veltri (Secur. Commun. Networks, 2018)

A glimpse on big data analytics in the framework of marketing strategies. - Pietro Ducange; Riccardo Pecori; Paolo Mezzina (Soft Comput., 2018)

Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification. - Riccardo Pecori; Pietro Ducange; Francesco Marcelloni (EUSFLAT Conf., 2019)

Smartphones and Exergame Controllers as BYOD Solutions for the e-tivities of an Online Sport and Exercise Sciences University Program. - Pietro Picerno; Riccardo Pecori; Paolo Raviolo; Pietro Ducange (HELMeTO, 2019)

Estimation of a Gaussian Source with Memory in Bursty Impulsive Noise. - Armando Vannucci; Giulio Colavolpe; Riccardo Pecori; Luca Veltri (ISPLC, 2019)

A Relevance Index-Based Method for Improved Detection of Malicious Users in Social Networks. - Laura Sani; Riccardo Pecori; Paolo Fornacciari; Monica Mordonini; Michele Tomaiuolo; Stefano Cagnoni (WIVACE, 2019)

From Complex System Analysis to Pattern Recognition: Experimental Assessment of an Unsupervised Feature Extraction Method Based on the Relevance Index Metrics. - Laura Sani; Riccardo Pecori; Monica Mordonini; Stefano Cagnoni (Comput., 2019)

Augmenting Quality of Experience in Distance Learning Using Fog Computing. - Riccardo Pecori (IEEE Internet Comput., 2019)

NEMO: A flexible and highly scalable network EMulatOr. - Luca Veltri; Luca Davoli; Riccardo Pecori; Armando Vannucci; Francesco Zanichelli (SoftwareX, 2019)

Building Explanations for Fuzzy Decision Trees with the ExpliClas Software. - José Maria Alonso; Pietro Ducange; Riccardo Pecori; Raúl Vilas (FUZZ-IEEE, 2020)

Fuzzy Neural Networks to Detect Parkinson Disease. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (FUZZ-IEEE, 2020)

Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (IJCNN, 2020)

IoT Attack Detection with Deep Learning Analysis. - Riccardo Pecori; Amin Tayebi; Armando Vannucci; Luca Veltri (IJCNN, 2020)

Anomaly Detection of actual IoT traffic flows through Deep Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (ICMLA, 2021)

A systematic review on Deep Learning approaches for IoT security. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (Comput. Sci. Rev., 2021)

Fuzzy Hoeffding Decision Tree for Data Stream Classification. - Pietro Ducange; Francesco Marcelloni; Riccardo Pecori (Int. J. Comput. Intell. Syst., 2021)

Continuous authentication using deep neural networks ensemble on keystroke dynamics. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (PeerJ Comput. Sci., 2021)

Deep neural networks ensemble to detect COVID-19 from CT scans. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (Pattern Recognit., 2021)

ReSS: A tool for discovering relevant sets in complex systems. - Laura Sani; Michele Amoretti; Stefano Cagnoni; Monica Mordonini; Riccardo Pecori (SoftwareX, 2021)

A Scalable and Secure Publish/Subscribe-Based Framework for Industrial IoT. - Michele Amoretti; Riccardo Pecori; Yanina Protskaya; Luca Veltri; Francesco Zanichelli (IEEE Trans. Ind. Informatics, 2021)

An Explainable and Evolving Car Driver Identification System based on Decision Trees. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (EAIS, 2022)

Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees. - Gabriella Casalino; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (HELMeTO, 2022)

Fuzzy Hoeffding Decision Trees for Learning Analytics. - Gabriella Casalino; Pietro Ducange; Michela Fazzolari; Riccardo Pecori (OLUD@WCCI, 2022)

Anomaly Detection of Medical IoT Traffic Using Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori; Luca Veltri (DATA, 2023)

Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori; Chiara Verdone (EUSFLAT/AGOP, 2023)

Leveraging Explainable AI Methods and Tools for Educational Data. - Gabriella Casalino; Giovanna Castellano; Pietro Ducange; Michela Fazzolari; Riccardo Pecori; Gianluca Zaza (HELMeTO, 2023)

Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. - Riccardo Pecori; Paolo Presti; Pietro Avanzini; Lerina Aversano; Fausto Caruana; Marta Cimitile; Debora Montano; Davide Ruzzon; Mario Luca Bernardi; Giovanni Vecchiato (ICMLA, 2023)

Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori (KES, 2023)

Classification and Forecasting of Water Stress in Tomato Plants Using Bioristor Data. - Manuele Bettelli; Filippo Vurro; Riccardo Pecori; Michela Janni; Nicola Coppedè; Andrea Zappettini; Daniele Tessera (IEEE Access, 2023)

A systematic review on artificial intelligence techniques for detecting thyroid diseases. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Andrea Maiellaro; Riccardo Pecori (PeerJ Comput. Sci., 2023)

Leveraging Incremental Decision Trees and In-Vivo Biosensors for an Explainable Plant Health Monitoring System. - Giovanni Panella; Pietro Ducange; Manuele Bettelli; Filippo Vurro; Michela Fazzolari; Riccardo Pecori (EAIS, 2024)

An Explainable Smart Agriculture System based on In- Vivo Biosensors. - Riccardo Pecori; Giovanni Panella; Filippo Vurro; Manuele Bettelli; Michela Fazzolari; Pietro Ducange (FUZZ, 2024)

Automatic Job Safety Report Generation using RAG-based LLMs. - Mario Luca Bernardi; Marta Cimitile; Riccardo Pecori (IJCNN, 2024)

An Explainable Approach to Characterize Heart Diseases Using ECG Images. - Francesco Denaro; Antonella Madau; Chiara Martini; Riccardo Pecori (MetroXRAINE, 2024)

Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori (Sensors, 2024)

Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. - Lerina Aversano; Mario Luca Bernardi; Marta Cimitile; Debora Montano; Riccardo Pecori; Luca Veltri (SN Comput. Sci., 2024)

REDInet: a temporal convolutional network-based classifier for A-to-I RNA editing detection harnessing million known events. - Adriano Fonzino; Pietro Luca Mazzacuva; Adam Handen; Domenico Alessandro Silvestris; Annette Arnold; Riccardo Pecori; Graziano Pesole; Ernesto Picardi (Briefings Bioinform., 2025)