GRECO, SALVATORE

GRECO, SALVATORE  

Dipartimento di Automatica e Informatica  

067778  

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Building Foundations for Inclusiveness through Expert-Annotated Data / La Quatra, Moreno; Greco, Salvatore; Cagliero, Luca; Tonti, Michela; Dragotto, Francesca; Raus, Rachele; Cavagnoli, Stefania; Cerquitelli, Tania. - 3651:(2024). (Intervento presentato al convegno Data Analytics solutions for Real-LIfe APplications (DARLI-AP) workshop tenutosi a Paestum (IT) nel March 25-28, 2024). 1-gen-2024 La Quatra, MorenoGreco, Salvatore GrecoCagliero, LucaTonti, MichelaCerquitelli, Tania + Building Foundations for Inclusiveness through Expert-Annotated Data.pdf
DriftLens: A Concept Drift Detection Tool / Greco, Salvatore; Vacchetti, Bartolomeo; Apiletti, Daniele; Cerquitelli, Tania. - ELETTRONICO. - 27:(2024), pp. 806-809. (Intervento presentato al convegno Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ) tenutosi a Paestum (IT) nel 25th March - 28th March, 2024). 1-gen-2024 Greco, SalvatoreVacchetti, BartolomeoApiletti, DanieleCerquitelli, Tania DriftLens - A Concept Drift Detection Tool.pdf
DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy / Gallipoli, Giuseppe; LA QUATRA, Moreno; REGE CAMBRIN, Daniele; Greco, Salvatore; Cagliero, Luca. - 3473:(2023). (Intervento presentato al convegno EVALITA 2023 tenutosi a Parma nel September 7th-8th 2023). 1-gen-2023 Giuseppe GallipoliMoreno La QuatraDaniele Rege CambrinSalvatore GrecoLuca Cagliero paper14.pdf
Explaining deep convolutional models by measuring the influence of interpretable features in image classification / Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania. - In: DATA MINING AND KNOWLEDGE DISCOVERY. - ISSN 1573-756X. - (2023). [10.1007/s10618-023-00915-x] 1-gen-2023 Ventura, FrancescoGreco, SalvatoreApiletti, DanieleCerquitelli, Tania s10618-023-00915-x.pdf
Inclusively: An AI-Based Assistant for Inclusive Writing / LA QUATRA, Moreno; Greco, Salvatore; Cagliero, Luca; Cerquitelli, Tania. - 14175:(2023), pp. 361-365. (Intervento presentato al convegno European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases tenutosi a Turin (ITA) nel September 18th-22th 2023) [10.1007/978-3-031-43430-3_31]. 1-gen-2023 Moreno La QuatraSalvatore GrecoLuca CaglieroTania Cerquitelli 978-3-031-43430-3_31.pdf
A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery / Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; Apiletti, Daniele; Baralis, Elena; Cerquitelli, Tania. - ELETTRONICO. - (2022), pp. 3893-3897. (Intervento presentato al convegno International Conference on Information and Knowledge Management (CIKM) 2022 tenutosi a Atlanta (Georgia, USA) nel 17/10/2022 - 21/10/2022) [10.1145/3511808.3557528]. 1-gen-2022 Colomba,LucaFarasin,AlessandroMonaco,SimoneGreco,SalvatoreGarza,PaoloApiletti,DanieleBaralis,ElenaCerquitelli,Tania 3511808.3557528.pdfBurnedAreaDatasetPaper.pdf
L’analyse du discours et l’intelligence artificielle pour réaliser une écriture inclusive : le projet EMIMIC / Raus, Rachele; Tonti, Michela; Cerquitelli, Tania; Cagliero, Luca; Attanasio, Giuseppe; La Quatra, Moreno; Greco, Salvatore. - In: SHS WEB OF CONFERENCES. - ISSN 2261-2424. - 138:(2022), p. 01007. (Intervento presentato al convegno 8e Congrès Mondial de Linguistique Française) [10.1051/shsconf/202213801007]. 1-gen-2022 Tonti, MichelaCerquitelli, TaniaCagliero, LucaAttanasio, GiuseppeLa Quatra, MorenoGreco, Salvatore + shsconf_cmlf2022_01007.pdf
Trusting deep learning natural-language models via local and global explanations / Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania. - In: KNOWLEDGE AND INFORMATION SYSTEMS. - ISSN 0219-1377. - 64:(2022), pp. 1863-1907. [10.1007/s10115-022-01690-9] 1-gen-2022 Ventura,FrancescoGreco,SalvatoreApiletti,DanieleCerquitelli,Tania Trusting deep learning natural-language models via local and global explanations.pdfs10115-022-01690-9.pdf
Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction / Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; Garza, Paolo; Cerquitelli, Tania; Baralis, Elena. - In: APPLIED SCIENCES. - ISSN 2076-3417. - ELETTRONICO. - 11:22(2021). [10.3390/app112211060] 1-gen-2021 Monaco, SimoneGreco, SalvatoreFarasin, AlessandroColomba, LucaApiletti, DanieleGarza, PaoloCerquitelli, TaniaBaralis, Elena applsci-11-11060.pdf
DRIFT LENS: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions / Greco, Salvatore; Cerquitelli, Tania. - ELETTRONICO. - (2021), pp. 1-9. (Intervento presentato al convegno 2021 International Conference on Data Mining Workshops (ICDMW) tenutosi a Auckland, New Zealand nel December 7-10, 2021) [10.1109/ICDMW53433.2021.00049]. 1-gen-2021 Greco, SalvatoreCerquitelli, Tania Drift_Lens_Real-time_unsupervised_Concept_Drift_detection_by_evaluating_per-label_embedding_distributions.pdf
E-MIMIC: Empowering Multilingual Inclusive Communication / Attanasio, Giuseppe; Greco, Salvatore; LA QUATRA, Moreno; Cagliero, Luca; Tonti, Michela; Cerquitelli, Tania; Raus, Rachele. - ELETTRONICO. - (2021), pp. 4227-4234. (Intervento presentato al convegno First International Workshop on Data science for equality, inclusion and well-being challenges tenutosi a Virtual, Online nel 15-18 December 2021) [10.1109/BigData52589.2021.9671868]. 1-gen-2021 Giuseppe AttanasioSalvatore GrecoMoreno La QuatraLuca CaglieroMichela TontiTania Cerquitelli + E_MIMIC.pdfE-MIMIC_Empowering_Multilingual_Inclusive_Communication.pdf
Empowering Commercial Vehicles through Data-Driven Methodologies / Bethaz, Paolo; Cavaglion, Sara; Cricelli, Sofia; Liore, Elena; Manfredi, Emanuele; Salio, Stefano; Regalia, Andrea; Conicella, Fabrizio; Greco, Salvatore; Cerquitelli, Tania. - In: ELECTRONICS. - ISSN 2079-9292. - 10:19 (2381)(2021). [10.3390/electronics10192381] 1-gen-2021 Paolo BethazSalvatore GrecoTania Cerquitelli + Empowering_commercial_vehicles_through_data_driven_methodologies.pdf