Geo-statistical Exploration of Milano Datasets. - Irene Celino; Gloria Re Calegari (SemStats@ISWC, 2014)

Smart Urban Planning Support through Web Data Science on Open and Enterprise Data. - Gloria Re Calegari; Irene Celino (WWW (Companion Volume), 2015)

Extracting Urban Land Use from Linked Open Geospatial Data. - Gloria Re Calegari; Emanuela Carlino; Diego Peroni; Irene Celino (ISPRS Int. J. Geo Inf., 2015)

Supporting Geo-Ontology Engineering Through Spatial Data Analytics. - Gloria Re Calegari; Emanuela Carlino; Irene Celino; Diego Peroni (ESWC, 2016)

Towards Talkin'Piazza: Engaging citizens through playful interaction with urban objects. - Irene Celino; Gloria Re Calegari; Andrea Fiano (ISC2, 2016)

Filtering and windowing mobile traffic time series for territorial land use classification. - Gloria Re Calegari; Emanuela Carlino; Diego Peroni; Irene Celino (Comput. Commun., 2016)

City data dating: Emerging affinities between diverse urban datasets. - Gloria Re Calegari; Irene Celino; Diego Peroni (Inf. Syst., 2016)

Interplay of Game Incentives, Player Profiles and Task Difficulty in Games with a Purpose. - Gloria Re Calegari; Irene Celino (EKAW, 2018)

A Framework to Build Games with a Purpose for Linked Data Refinement. - Gloria Re Calegari; Andrea Fiano; Irene Celino (ISWC (2), 2018)

An Incremental Truth Inference Approach to Aggregate Crowdsourcing Contributions in Games with a Purpose. - Irene Celino; Gloria Re Calegari (CoRR, 2018)

Human Computation vs. Machine Learning: an Experimental Comparison for Image Classification. - Gloria Re Calegari; Gioele Nasi; Irene Celino (Hum. Comput., 2018)

Refining Linked Data with Games with a Purpose . - Irene Celino; Gloria Re Calegari; Andrea Fiano (Data Intell., 2020)

Submitting surveys via a conversational interface: An evaluation of user acceptance and approach effectiveness. - Irene Celino; Gloria Re Calegari (Int. J. Hum. Comput. Stud., 2020)

The Survey Ontology: Packaging Survey Research as Research Objects. - Mario Scrocca; Damiano Scandolari; Gloria Re Calegari; Ilaria Baroni; Irene Celino (DaMaLOS, 2021)

An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science. - Dumitru Roman; Neal Reeves; Esteban González; Irene Celino; Shady Abd El Kader; Philip Turk; Ahmet Soylu; Óscar Corcho; Raquel Cedazo; Gloria Re Calegari; Damiano Scandolari; Elena Simperl (Data Technol. Appl., 2021)

Eliciting and Curating Procedural Knowledge in Industry: Challenges and Opportunities. - Anisa Rula; Gloria Re Calegari; Antonia Azzini; Davide Bucci; Ilaria Baroni; Irene Celino (Qurator, 2022)

AI-TAM: a model to investigate user acceptance and collaborative intention inhuman-in-the-loop AI applications. - Ilaria Baroni; Gloria Re Calegari; Damiano Scandolari; Irene Celino (Hum. Comput., 2022)

K-Hub: A Modular Ontology to Support Document Retrieval and Knowledge Extraction in Industry 5.0. - Anisa Rula; Gloria Re Calegari; Antonia Azzini; Davide Bucci; Alessio Carenini; Ilaria Baroni; Irene Celino (ESWC, 2023)

Annotation and Extraction of Industrial Procedural Knowledge from Textual Documents. - Anisa Rula; Gloria Re Calegari; Antonia Azzini; Ilaria Baroni; Irene Celino (K-CAP, 2023)