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Gloria Re Calegari
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2020 – today
- 2023
- [c10]Anisa Rula
, Gloria Re Calegari
K-Hub: A Modular Ontology to Support Document Retrieval and Knowledge Extraction in Industry 5.0. ESWC 2023: 454-470 - [c9]Anisa Rula
Annotation and Extraction of Industrial Procedural Knowledge from Textual Documents. K-CAP 2023: 1-8 - 2022
- [j8]Ilaria Baroni, Gloria Re Calegari, Damiano Scandolari, Irene Celino:
AI-TAM: a model to investigate user acceptance and collaborative intention inhuman-in-the-loop AI applications. Hum. Comput. 9(1): 1-21 (2022) - [c8]Anisa Rula, Gloria Re Calegari, Antonia Azzini, Davide Bucci, Ilaria Baroni, Irene Celino:
Eliciting and Curating Procedural Knowledge in Industry: Challenges and Opportunities. Qurator 2022 - 2021
- [j7]Dumitru Roman
An analysis of pollution Citizen Science projects from the perspective of Data Science and Open Science. Data Technol. Appl. 55(5): 622-642 (2021) - [c7]Mario Scrocca, Damiano Scandolari, Gloria Re Calegari, Ilaria Baroni, Irene Celino:
The Survey Ontology: Packaging Survey Research as Research Objects. DaMaLOS 2021: 1-10 - 2020
- [j6]Irene Celino
Refining Linked Data with Games with a Purpose . Data Intell. 2(3): 417-442 (2020) - [j5]Irene Celino
Submitting surveys via a conversational interface: An evaluation of user acceptance and approach effectiveness. Int. J. Hum. Comput. Stud. 139: 102410 (2020) - [i4]Irene Celino, Gloria Re Calegari:
Submitting surveys via a conversational interface: an evaluation of user acceptance and approach effectiveness. CoRR abs/2003.02537 (2020)
2010 – 2019
- 2018
- [j4]Gloria Re Calegari
Human Computation vs. Machine Learning: an Experimental Comparison for Image Classification. Hum. Comput. 5: 13-30 (2018) - [c6]Gloria Re Calegari, Irene Celino:
Interplay of Game Incentives, Player Profiles and Task Difficulty in Games with a Purpose. EKAW 2018: 306-321 - [c5]Gloria Re Calegari, Andrea Fiano, Irene Celino:
A Framework to Build Games with a Purpose for Linked Data Refinement. ISWC (2) 2018: 154-169 - [i3]Irene Celino, Gloria Re Calegari:
An Incremental Truth Inference Approach to Aggregate Crowdsourcing Contributions in Games with a Purpose. CoRR abs/1810.10771 (2018) - [i2]Gloria Re Calegari, Andrea Fiano, Irene Celino:
A Framework to build Games with a Purpose for Linked Data Refinement. CoRR abs/1811.02848 (2018) - [i1]Gloria Re Calegari, Irene Celino:
Interplay of Game Incentives, Player Profiles and Task Difficulty in Games with a Purpose. CoRR abs/1811.08244 (2018) - 2016
- [j3]Gloria Re Calegari
Filtering and windowing mobile traffic time series for territorial land use classification. Comput. Commun. 95: 15-28 (2016) - [j2]Gloria Re Calegari
City data dating: Emerging affinities between diverse urban datasets. Inf. Syst. 57: 223-240 (2016) - [c4]Gloria Re Calegari, Emanuela Carlino, Irene Celino, Diego Peroni:
Supporting Geo-Ontology Engineering Through Spatial Data Analytics. ESWC 2016: 556-571 - [c3]Irene Celino, Gloria Re Calegari
Towards Talkin'Piazza: Engaging citizens through playful interaction with urban objects. ISC2 2016: 1-5 - 2015
- [j1]Gloria Re Calegari
Extracting Urban Land Use from Linked Open Geospatial Data. ISPRS Int. J. Geo Inf. 4(4): 2109-2130 (2015) - [c2]Gloria Re Calegari
Smart Urban Planning Support through Web Data Science on Open and Enterprise Data. WWW (Companion Volume) 2015: 1407-1412 - 2014
- [c1]Irene Celino, Gloria Re Calegari
Geo-statistical Exploration of Milano Datasets. SemStats@ISWC 2014
Coauthor Index
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