Master of Science

• Data science and machine learning for engineering applications. A.A. 2023/24, INGEGNERIA CHIMICA E DEI PROCESSI SOSTENIBILI. Collaboratore del corso
• Explainable and trustworthy AI. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Applied data science project. A.A. 2021/22, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Bachelor of Science

• Basi di dati. A.A. 2021/22, INGEGNERIA INFORMATICA. Collaboratore del corso
• Basi di dati. A.A. 2022/23, INGEGNERIA INFORMATICA. Collaboratore del corso

• La Quatra, Moreno; Greco, Salvatore; Cagliero, Luca; Tonti, Michela; Dragotto, ... (2024)
  Building Foundations for Inclusiveness through Expert-Annotated Data. In: Data Analytics solutions for Real-LIfe APplications (DARLI-AP) workshop, Paestum (IT), March 25-28, 2024. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)
• Greco, Salvatore (2024)
  Inspecting Deep NLP Models - Innovative Techniques for Explainability, Fairness, and Concept Drift in Natural Language Classification. relatore: CERQUITELLI, TANIA; BARALIS, ELENA MARIA; , 36. XXXVI Ciclo, P.: 175
  Doctoral Thesis
• Greco, Salvatore; Vacchetti, Bartolomeo; Apiletti, Daniele; Cerquitelli, Tania (2024)
  DriftLens: A Concept Drift Detection Tool. In: Proceedings 27th International Conference on Extending Database Technology ( EDBT 2024 ), Paestum (IT), 25th March - 28th March, 2024, pp. 806-809. ISBN: 978-3-89318-091-2
  Contributo in Atti di Convegno (Proceeding)
• Greco, Salvatore; Zhou, Ke; Capra, Licia; Cerquitelli, Tania; Quercia, Daniele (2024)
  NLPGuard: A Framework for Mitigating the Use of Protected Attributes by NLP Classifiers. In: 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW) 2024, San José (CRI), November 9-13, 2024, pp. 1-25. ISSN 2573-0142
  Contributo in Atti di Convegno (Proceeding)
• Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania (2024)
  Explaining deep convolutional models by measuring the influence of interpretable features in image classification. In: DATA MINING AND KNOWLEDGE DISCOVERY, vol. 38, pp. 3169-3226. ISSN 1573-756X
  Contributo su Rivista
• Berta, Matteo; Greco, Salvatore; Tipaldo, Giuseppe; Cerquitelli, Tania (2024)
  Decoding Narratives: Towards a Classification Analysis for Stereotypical Patterns in Italian News Headlines. In: 2024 IEEE International Conference on Big Data (BigData), Washington DC (USA), 15-18 December 2024, pp. 5253-5262. ISBN: 979-8-3503-6248-0
  Contributo in Atti di Convegno (Proceeding)
• Gallipoli, Giuseppe; LA QUATRA, Moreno; REGE CAMBRIN, Daniele; Greco, Salvatore; ... (2023)
  DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy. In: EVALITA 2023, Parma, September 7th-8th 2023
  Contributo in Atti di Convegno (Proceeding)
• Raus, Rachele; Tonti, Michela; Cerquitelli, Tania; Cagliero, Luca; Attanasio, Giuseppe; ... (2022)
  L’analyse du discours et l’intelligence artificielle pour réaliser une écriture inclusive : le projet EMIMIC. In: 8e Congrès Mondial de Linguistique Française. ISSN 2261-2424
  Contributo in Atti di Convegno (Proceeding)
• Colomba, Luca; Farasin, Alessandro; Monaco, Simone; Greco, Salvatore; Garza, Paolo; ... (2022)
  A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery. In: International Conference on Information and Knowledge Management (CIKM) 2022, Atlanta (Georgia, USA), 17/10/2022 - 21/10/2022, pp. 3893-3897. ISBN: 978-1-4503-9236-5
  Contributo in Atti di Convegno (Proceeding)
• Ventura, Francesco; Greco, Salvatore; Apiletti, Daniele; Cerquitelli, Tania (2022)
  Trusting deep learning natural-language models via local and global explanations. In: KNOWLEDGE AND INFORMATION SYSTEMS, vol. 64, pp. 1863-1907. ISSN 0219-1377
  Contributo su Rivista
• Attanasio, Giuseppe; Greco, Salvatore; LA QUATRA, Moreno; Cagliero, Luca; Tonti, ... (2021)
  E-MIMIC: Empowering Multilingual Inclusive Communication. In: First International Workshop on Data science for equality, inclusion and well-being challenges, Virtual, Online, 15-18 December 2021, pp. 4227-4234
  Contributo in Atti di Convegno (Proceeding)
• Monaco, Simone; Greco, Salvatore; Farasin, Alessandro; Colomba, Luca; Apiletti, Daniele; ... (2021)
  Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction. In: APPLIED SCIENCES, vol. 11. ISSN 2076-3417
  Contributo su Rivista
• Bethaz, Paolo; Cavaglion, Sara; Cricelli, Sofia; Liore, Elena; Manfredi, Emanuele; ... (2021)
  Empowering Commercial Vehicles through Data-Driven Methodologies. In: ELECTRONICS, vol. 10. ISSN 2079-9292
  Contributo su Rivista