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ORCIDRiccardo Pecori
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- affiliation: Università degli Studi eCampus, Novedrate, Italy
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2020 – today
- 2024
[j19]Lerina Aversano
, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori:
Characterization of Heart Diseases per Single Lead Using ECG Images and CNN-2D. Sensors 24(11): 3485 (2024)- [j18]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri:
Explainable Anomaly Detection of Synthetic Medical IoT Traffic Using Machine Learning. SN Comput. Sci. 5(5): 488 (2024) - [c36]Giovanni Panella, Pietro Ducange, Manuele Bettelli, Filippo Vurro, Michela Fazzolari, Riccardo Pecori:
Leveraging Incremental Decision Trees and In-Vivo Biosensors for an Explainable Plant Health Monitoring System. EAIS 2024: 1-8 - [c35]Riccardo Pecori, Giovanni Panella, Filippo Vurro, Manuele Bettelli, Michela Fazzolari, Pietro Ducange:
An Explainable Smart Agriculture System based on In- Vivo Biosensors. FUZZ 2024: 1-8 - [c34]Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Automatic Job Safety Report Generation using RAG-based LLMs. IJCNN 2024: 1-8 - 2023
- [j17]Manuele Bettelli, Filippo Vurro, Riccardo Pecori, Michela Janni, Nicola Coppedè, Andrea Zappettini, Daniele Tessera:
Classification and Forecasting of Water Stress in Tomato Plants Using Bioristor Data. IEEE Access 11: 34795-34807 (2023) - [j16]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Andrea Maiellaro, Riccardo Pecori:
A systematic review on artificial intelligence techniques for detecting thyroid diseases. PeerJ Comput. Sci. 9: e1394 (2023) - [c33]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori, Luca Veltri:
Anomaly Detection of Medical IoT Traffic Using Machine Learning. DATA 2023: 173-182 - [c32]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori, Chiara Verdone:
Explainable Deep Ensemble to Diagnose COVID-19 from CT Scans. EUSFLAT/AGOP 2023: 642-654 - [c31]Riccardo Pecori, Paolo Presti, Pietro Avanzini, Lerina Aversano, Fausto Caruana, Marta Cimitile, Debora Montano, Davide Ruzzon, Mario Luca Bernardi, Giovanni Vecchiato:
Machine and Deep Learning Techniques to Classify Arousal Judgments in Dynamic Virtual Experience of Architecture. ICMLA 2023: 2087-2094 - [c30]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Debora Montano, Riccardo Pecori:
Early Diagnosis of Cardiac Diseases using ECG Images and CNN-2D. KES 2023: 2866-2875 - 2022
- [c29]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
An Explainable and Evolving Car Driver Identification System based on Decision Trees. EAIS 2022: 1-8 - [c28]Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
Incremental and Interpretable Learning Analytics Through Fuzzy Hoeffding Decision Trees. HELMeTO 2022: 674-690 - [c27]Gabriella Casalino, Pietro Ducange, Michela Fazzolari, Riccardo Pecori:
Fuzzy Hoeffding Decision Trees for Learning Analytics. OLUD@WCCI 2022 - 2021
- [j15]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
A systematic review on Deep Learning approaches for IoT security. Comput. Sci. Rev. 40: 100389 (2021) - [j14]Pietro Ducange, Francesco Marcelloni, Riccardo Pecori:
Fuzzy Hoeffding Decision Tree for Data Stream Classification. Int. J. Comput. Intell. Syst. 14(1): 946-964 (2021) - [j13]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Continuous authentication using deep neural networks ensemble on keystroke dynamics. PeerJ Comput. Sci. 7: e525 (2021) - [j12]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Deep neural networks ensemble to detect COVID-19 from CT scans. Pattern Recognit. 120: 108135 (2021) - [j11]Laura Sani, Michele Amoretti, Stefano Cagnoni, Monica Mordonini, Riccardo Pecori:
ReSS: A tool for discovering relevant sets in complex systems. SoftwareX 14: 100693 (2021) - [j10]Michele Amoretti, Riccardo Pecori, Yanina Protskaya, Luca Veltri, Francesco Zanichelli:
A Scalable and Secure Publish/Subscribe-Based Framework for Industrial IoT. IEEE Trans. Ind. Informatics 17(6): 3815-3825 (2021) - [c26]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Anomaly Detection of actual IoT traffic flows through Deep Learning. ICMLA 2021: 1736-1741 - 2020
- [c25]José Maria Alonso, Pietro Ducange, Riccardo Pecori, Raúl Vilas:
Building Explanations for Fuzzy Decision Trees with the ExpliClas Software. FUZZ-IEEE 2020: 1-8 - [c24]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Fuzzy Neural Networks to Detect Parkinson Disease. FUZZ-IEEE 2020: 1-8 - [c23]Lerina Aversano, Mario Luca Bernardi, Marta Cimitile, Riccardo Pecori:
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics. IJCNN 2020: 1-8 - [c22]Riccardo Pecori, Amin Tayebi, Armando Vannucci, Luca Veltri:
IoT Attack Detection with Deep Learning Analysis. IJCNN 2020: 1-8
2010 – 2019
- 2019
- [j9]Laura Sani, Riccardo Pecori, Monica Mordonini, Stefano Cagnoni:
From Complex System Analysis to Pattern Recognition: Experimental Assessment of an Unsupervised Feature Extraction Method Based on the Relevance Index Metrics. Comput. 7(3): 39 (2019) - [j8]Riccardo Pecori:
Augmenting Quality of Experience in Distance Learning Using Fog Computing. IEEE Internet Comput. 23(5): 49-58 (2019) - [j7]Luca Veltri, Luca Davoli, Riccardo Pecori, Armando Vannucci, Francesco Zanichelli:
NEMO: A flexible and highly scalable network EMulatOr. SoftwareX 10: 100248 (2019) - [c21]Riccardo Pecori, Pietro Ducange, Francesco Marcelloni:
Incremental Learning of Fuzzy Decision Trees for Streaming Data Classification. EUSFLAT Conf. 2019 - [c20]Pietro Picerno, Riccardo Pecori, Paolo Raviolo, Pietro Ducange:
Smartphones and Exergame Controllers as BYOD Solutions for the e-tivities of an Online Sport and Exercise Sciences University Program. HELMeTO 2019: 217-227 - [c19]Armando Vannucci, Giulio Colavolpe, Riccardo Pecori, Luca Veltri:
Estimation of a Gaussian Source with Memory in Bursty Impulsive Noise. ISPLC 2019: 1-6 - [c18]Laura Sani, Riccardo Pecori, Paolo Fornacciari, Monica Mordonini, Michele Tomaiuolo, Stefano Cagnoni:
A Relevance Index-Based Method for Improved Detection of Malicious Users in Social Networks. WIVACE 2019: 78-89 - [e2]Daniel Burgos, Marta Cimitile, Pietro Ducange, Riccardo Pecori, Pietro Picerno, Paolo Raviolo, Christian M. Stracke:
Higher Education Learning Methodologies and Technologies Online - First International Workshop, HELMeTO 2019, Novedrate, CO, Italy, June 6-7, 2019, Revised Selected Papers. Communications in Computer and Information Science 1091, Springer 2019, ISBN 978-3-030-31283-1 [contents] - [e1]Stefano Cagnoni, Monica Mordonini, Riccardo Pecori, Andrea Roli, Marco Villani:
Artificial Life and Evolutionary Computation - 13th Italian Workshop, WIVACE 2018, Parma, Italy, September 10-12, 2018, Revised Selected Papers. Communications in Computer and Information Science 900, Springer 2019, ISBN 978-3-030-21732-7 [contents] - 2018
- [j6]Marco Villani, Laura Sani, Riccardo Pecori, Michele Amoretti, Andrea Roli, Monica Mordonini, Roberto Serra, Stefano Cagnoni:
An Iterative Information-Theoretic Approach to the Detection of Structures in Complex Systems. Complex. 2018: 3687839:1-3687839:15 (2018) - [j5]Riccardo Pecori:
A Virtual Learning Architecture Enhanced by Fog Computing and Big Data Streams. Future Internet 10(1): 4 (2018) - [j4]Riccardo Pecori, Luca Veltri:
A Balanced Trust-Based Method to Counter Sybil and Spartacus Attacks in Chord. Secur. Commun. Networks 2018: 4963932:1-4963932:16 (2018) - [j3]Pietro Ducange, Riccardo Pecori, Paolo Mezzina:
A glimpse on big data analytics in the framework of marketing strategies. Soft Comput. 22(1): 325-342 (2018) - [c17]Laura Sani, Gianluca D'Addese, Riccardo Pecori, Monica Mordonini, Marco Villani, Stefano Cagnoni:
An Integration-Based Approach to Pattern Clustering and Classification. AI*IA 2018: 362-374 - [c16]Laura Sani, Gianfranco Lombardo, Riccardo Pecori, Paolo Fornacciari, Monica Mordonini, Stefano Cagnoni:
Social Relevance Index for Studying Communities in a Facebook Group of Patients. EvoApplications 2018: 125-140 - [c15]Laura Sani, Riccardo Pecori, Emilio Vicari, Michele Amoretti, Monica Mordonini, Stefano Cagnoni:
Can the Relevance Index be Used to Evolve Relevant Feature Sets? EvoApplications 2018: 472-479 - [c14]Marco Calabretta, Riccardo Pecori, Luca Veltri:
A Token-based Protocol for Securing MQTT Communications. SoftCOM 2018: 1-6 - [c13]Laura Sani, Alberto Bononi, Riccardo Pecori, Michele Amoretti, Monica Mordonini, Andrea Roli, Marco Villani, Stefano Cagnoni, Roberto Serra:
An Improved Relevance Index Method to Search Important Structures in Complex Systems. WIVACE 2018: 3-16 - 2017
- [c12]Pietro Ducange, Giuseppe Mannara, Francesco Marcelloni, Riccardo Pecori, Massimo Vecchio:
A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers. FUZZ-IEEE 2017: 1-6 - [c11]Giovanni Perrone, Massimo Vecchio, Riccardo Pecori, Raffaele Giaffreda:
The Day After Mirai: A Survey on MQTT Security Solutions After the Largest Cyber-attack Carried Out through an Army of IoT Devices. IoTBDS 2017: 246-253 - [c10]Marco Villani, Laura Sani, Michele Amoretti, Emilio Vicari, Riccardo Pecori, Monica Mordonini, Stefano Cagnoni, Roberto Serra:
A Relevance Index Method to Infer Global Properties of Biological Networks. WIVACE 2017: 129-141 - [c9]Gianluigi Silvestri, Laura Sani, Michele Amoretti, Riccardo Pecori, Emilio Vicari, Monica Mordonini, Stefano Cagnoni:
Searching Relevant Variable Subsets in Complex Systems Using K-Means PSO. WIVACE 2017: 308-321 - 2016
- [j2]Riccardo Pecori:
S-Kademlia: A trust and reputation method to mitigate a Sybil attack in Kademlia. Comput. Networks 94: 205-218 (2016) - [j1]Riccardo Pecori, Luca Veltri:
3AKEP: Triple-authenticated key exchange protocol for peer-to-peer VoIP applications. Comput. Commun. 85: 28-40 (2016) - [c8]Laura Sani, Michele Amoretti, Emilio Vicari, Monica Mordonini, Riccardo Pecori, Andrea Roli, Marco Villani, Stefano Cagnoni, Roberto Serra:
Efficient Search of Relevant Structures in Complex Systems. AI*IA 2016: 35-48 - [c7]Pietro Ducange, Riccardo Pecori, Luigi Sarti, Massimo Vecchio:
Educational Big Data Mining: How to Enhance Virtual Learning Environments. SOCO-CISIS-ICEUTE 2016: 681-690 - [c6]Emilio Vicari, Michele Amoretti, Laura Sani, Monica Mordonini, Riccardo Pecori, Andrea Roli, Marco Villani, Stefano Cagnoni, Roberto Serra:
GPU-Based Parallel Search of Relevant Variable Sets in Complex Systems. WIVACE 2016: 14-25 - 2015
- [c5]Riccardo Pecori:
A comparison analysis of trust-adaptive approaches to deliver signed public keys in P2P systems. NTMS 2015: 1-5 - [c4]Riccardo Pecori:
Trust-based storage in a Kademlia network infected by Sybils. NTMS 2015: 1-5 - 2014
- [c3]Riccardo Pecori, Luca Veltri:
A statistical blind technique for recognition of internet traffic with dependence enforcement. IWCMC 2014: 328-333 - [c2]Riccardo Pecori, Luca Veltri:
Trust-based routing for Kademlia in a sybil scenario. SoftCOM 2014: 279-283 - 2012
- [c1]Riccardo Pecori:
A PKI-free key agreement protocol for P2P VoIP applications. ICC 2012: 6748-6752
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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