Publications

Marco LOMBARDI Publications


2020
Articolo in rivista
CHAT-Bot: A cultural heritage aware teller-bot for supporting touristic experiences
PATTERN RECOGNITION LETTERS. Vol. 131. Pag.234-243
ISSN:0167-8655.
Casillo, Mario; Clarizia, Fabio; D'Aniello, Giuseppe; DE SANTO, Massimo; Lombardi, Marco; Santaniello, Domenico
Versione online
Digital Object Identifier (DOI): 10.1016/j.patrec.2020.01.003
Codice identificativo ISI: WOS:000521971700033
Codice identificativo SCOPUS: 2-s2.0-85078479323
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2020
Articolo in rivista
A multilevel graph approach for rainfall forecasting: A preliminary study case on London area
CONCURRENCY AND COMPUTATION. Vol. 32. Pag.1-12
ISSN:1532-0626.
Clarizia, F.; Colace, F.; De Santo, M.; Lombardi, M.; Pascale, F.; Santaniello, D.; Tuker, A.
Versione online
Digital Object Identifier (DOI): 10.1002/cpe.5289
Codice identificativo ISI: WOS:000528674400009
Codice identificativo SCOPUS: 2-s2.0-85065230050
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2020
Articolo in rivista
A multilayer approach for recommending contextual learning paths
JOURNAL OF INTERNET SERVICES AND INFORMATION SECURITY. Vol. 10. Pag.91-102
ISSN:2182-2069.
Colace, F.; De Santo, M.; Lombardi, M.; Mosca, R.; Santaniello, D.
Versione online
Digital Object Identifier (DOI): 10.22667/JISIS.2020.05.31.091
Codice identificativo SCOPUS: 2-s2.0-85090706740
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2020
Articolo in rivista
Securing the internet of vehicles through lightweight block ciphers
PATTERN RECOGNITION LETTERS. Vol. 135. Pag.264-270
ISSN:0167-8655.
Castiglione, A.; Palmieri, F.; Colace, F.; Lombardi, M.; Santaniello, D.; D'Aniello, G.
Versione online
Digital Object Identifier (DOI): 10.1016/j.patrec.2020.04.038
Codice identificativo ISI: WOS:000541706100035
Codice identificativo SCOPUS: 2-s2.0-85084650313
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2020
Contributo in Atti di convegno
A chatbot for supporting users in cultural heritage contexts.
In: DMSVIVA 2020 - Proceedings of the 26th International DMS conference on visualization and visual languages Knowledge Systems Institute Graduate School, KSI Research Inc. Vol.2020, Pag.22-27
ISBN:1-891706-51-9
DMSVIVA2020 - 26th International DMS conference on visualization and visual languages
Pittsburgh (USA) 7-8 Luglio 2020
Clarizia, F.; Colace, F.; Lombardi, M.; Santaniello, D.
Digital Object Identifier (DOI): 10.18293/DMSVIVA20-009
Codice identificativo SCOPUS: 2-s2.0-85091636361
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2020
Contributo in Atti di convegno
Chatbot in industry 4.0: An approach for training new employees.
In: Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 Institute of Electrical and Electronics Engineers Inc. Pag.371-376
ISBN:978-1-7281-6942-2
2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
jpn 2020
Casillo, M.; Colace, F.; Fabbri, L.; Lombardi, M.; Romano, A.; Santaniello, D.
Versione online
Digital Object Identifier (DOI): 10.1109/TALE48869.2020.9368339
Codice identificativo ISI: WOS:000662184600055
Codice identificativo SCOPUS: 2-s2.0-85102967298
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2020
Contributo in Atti di convegno
Sentiment analysis in social networks: A methodology based on the latent dirichlet allocation approach.
In: Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 Atlantis Press Pag.241-248
11th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019
Czech Technical University, cze 2019
Clarizia, F.; Colace, F.; Pascale, F.; Lombardi, M.; Santaniello, D.
Codice identificativo ISI: WOS:000558710000036
Codice identificativo SCOPUS: 2-s2.0-85090909029
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2020
Contributo in Atti di convegno
On the impact of lightweight ciphers in automotive networks.
In: DMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages Knowledge Systems Institute Graduate School, KSI Research Inc. Vol.2020, Pag.87-92
ISBN:1-891706-51-9
26th International DMS Conference on Visualization and Visual Languages, DMSVIVA 2020
KSI Research Virtual Conference Center, usa 2020
Castiglione, A.; Palmieri, F.; Colace, F.; Lombardi, M.; Santaniello, D.
Digital Object Identifier (DOI): 10.18293/DMSVIVA20-010
Codice identificativo SCOPUS: 2-s2.0-85091671109
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2020
Contributo in Atti di convegno
A Multilevel approach to recommend working paths in industry 4.0.
In: Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020 Institute of Electrical and Electronics Engineers Inc. Pag.754-757
ISBN:978-1-7281-6942-2
2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering, TALE 2020
jpn 2020
Santo, M. D.; Fabbri, L.; Mosca, R.; Lombardi, M.; Romano, A.; Santaniello, D.
Versione online
Digital Object Identifier (DOI): 10.1109/TALE48869.2020.9368327
Codice identificativo ISI: WOS:000662184600119
Codice identificativo SCOPUS: 2-s2.0-85102972137
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2020
Contributo in Atti di convegno
EIDS: Embedded intrusion detection system using machine learning to detect attack over the can-bus.
In: Proceedings of the 30th European Safety and Reliability Conference and the 15th Probabilistic Safety Assessment and Management Conference Research Publishing, Singapore Pag.2028-2035
ISBN:978-981-14-8593-0
30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020
Venice, Italy 2020
Lombardi, M.; Pascale, F.; Santaniello, D.
Versione online
Digital Object Identifier (DOI): 10.3850/978-981-14-8593-0_5090-cd
Codice identificativo SCOPUS: 2-s2.0-85107288238
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2020
Contributo in volume (Capitolo o Saggio)
A Multilevel Graph Approach for Predicting Bicycle Usage in London Area.
In Fourth International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing Pag.353-362 Singapore Springer.
ISBN:978-981-32-9342-7; 978-981-32-9343-4
ISSN:2194-5357.
Colace, Francesco; De Santo, Massimo; Lombardi, Marco; Pascale, Francesco; Santaniello, Domenico; Tucker, Allan
Versione online
Digital Object Identifier (DOI): 10.1007/978-981-32-9343-4_28
Codice identificativo ISI: WOS:000656948800027
Codice identificativo SCOPUS: 2-s2.0-85078414068
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2020
Contributo in volume (Capitolo o Saggio)
A Multi-feature Bayesian Approach for Fake News Detection.
In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Pag.333-344 Springer Science and Business Media Deutschland GmbH.
ISBN:978-3-030-66045-1; 978-3-030-66046-8
Casillo, M.; Colace, F.; Conte, D.; De Santo, M.; Lombardi, M.; Mottola, S.; Santaniello, D.
Versione online
Digital Object Identifier (DOI): 10.1007/978-3-030-66046-8_27
Codice identificativo SCOPUS: 2-s2.0-85101328115
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