GIUSEPPE D'ANIELLO | Publications
GIUSEPPE D'ANIELLO Publications
| 2026 | |
| Articolo in rivista | |
| A Recommendation System Based on Fuzzy Signature IEEE ACCESS. Vol. 14. Pag.9975-9985 ISSN:2169-3536. | |
| D'Aniello, Giuseppe; Della Corte, Mario; Gaeta, Matteo | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1109/ACCESS.2026.3656087 Codice identificativo ISI: WOS:001669249400001 Codice identificativo SCOPUS: 2-s2.0-105028389730 | |
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| 2026 | |
| Articolo in rivista | |
| GARDA: Granular Association-rule-based Data Imputation Approach for IoT Sensor Networks IEEE INTERNET OF THINGS JOURNAL. Pag.1-1 ISSN:2327-4662. | |
| D'Aniello, Giuseppe; Corte, Mario Della; Gaeta, Rosario; Hong, Tzung-Pei | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1109/jiot.2026.3704862 Codice identificativo SCOPUS: 2-s2.0-105043102429 | |
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| 2026 | |
| Articolo in rivista | |
| Situation-aware recommender systems: a systematic review and framework for trustworthy recommendations ARTIFICIAL INTELLIGENCE REVIEW. Vol. 59. Pag.1-38 ISSN:0269-2821. | |
| Aliberti, Luca; D'Aniello, Giuseppe; Gaeta, Matteo | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1007/s10462-026-11503-y Codice identificativo ISI: WOS:001687688600001 Codice identificativo SCOPUS: 2-s2.0-105029766797 | |
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| 2026 | |
| Contributo in Atti di convegno | |
| Integrating Situation Awareness into Intelligent Recommender Systems. In: 2026 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2026 Institute of Electrical and Electronics Engineers Inc. Pag.23-30 ISBN:979-8-3315-7978-4 | |
| 2026 IEEE Conference on Cognitive and Computational Aspects of Situation Management, CogSIMA 2026 Tempe, USA 9-12, March 2026 | |
| Aliberti, Luca; D'Aniello, Giuseppe; Gaeta, Matteo; Perfetto, Davide; Soffker, Dirk | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1109/CogSIMA68896.2026.11481237 Codice identificativo SCOPUS: 2-s2.0-105040185466 | |
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| 2026 | |
| Contributo in Atti di convegno | |
| Explainable Machine Learning for Photovoltaic Fault Diagnosis: A Comparative Study. In: IEEE Conference on Artificial Intelligence (CAI 2026) IEEE Pag.478-483 | |
| 2026 IEEE Conference on Artificial Intelligence, CAI 2026 Granada, Spain May 8-10, 2026 | |
| D'Aniello, Giuseppe; Della Corte, Mario; Gaeta, Matteo; Spagnuolo, Giovanni | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1109/CAI68641.2026.11536248 Codice identificativo SCOPUS: 2-s2.0-105042131612 | |
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