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2020 – today
- 2024
[j2]Lorenzo Olearo, Fabio D'Adda, Enza Messina, Marco Cremaschi, Stefania Bandini, Francesca Gasparini:
Facing multidimensional poverty in older adults: An artificial intelligence approach that reveals the variable relevance. Intelligenza Artificiale 18(1): 51-65 (2024)- [c25]Giulia Rosemary Avis, Fabio D'Adda, David Chieregato, Elia Guarnieri, Maria Meliante, Andrea Primo Pierotti, Marco Cremaschi:
A Neural Network for Automatic Handwriting Extraction and Recognition in Psychodiagnostic Questionnaires. ICT4AWE 2024: 140-151 - [i2]Federico Belotti, Fabio D'Adda, Marco Cremaschi, Roberto Avogadro, Riccardo Pozzi, Matteo Palmonari:
Evaluating Language Models on Entity Disambiguation in Tables. CoRR abs/2408.06423 (2024) - 2023
- [c24]Lorenzo Olearo, Fabio D'Adda, Vincenzina Messina, Marco Cremaschi, Stefania Bandini, Francesca Gasparini:
An artificial intelligence approach to predict mutidimensional poverty of older people from unlabelled data. AIxAS@AI*IA 2023: 98-112 - [c23]Marika Malaspina, Jessica Amianto Barbato, Marco Cremaschi, Francesca Gasparini, Alessandra Grossi, Aurora Saibene:
An experimental protocol to access immersiveness in video games. AIxHMI@AI*IA 2023: 69-81 - [c22]Fabio D'Adda, Marco Cremaschi, Enza Messina, Marco Terraneo, Stefania Bandini, Francesca Gasparini:
A Three Level Prediction of Multidimensional Poverty in Elderly. Ital-IA 2023: 544-549 - [i1]Marika Malaspina, Jessica Amianto Barbato, Marco Cremaschi, Francesca Gasparini, Alessandra Grossi, Aurora Saibene:
An experimental protocol to access immersiveness in video games. CoRR abs/2310.16431 (2023) - 2022
- [c21]Jessica Amianto Barbato, Marco Cremaschi:
Bridging the gap between human-gaze data and table summarisation. AIxHMI@AI*IA 2022: 1-8 - [c20]Stefania Bandini, Valeria Marina Borodi, David Chieregato, Marco Cremaschi, Federica D'Antico, Vincenzina Messina, Marco Terraneo, Laura Terzera, Francesca Gasparini:
Artificial Intelligence facing Multidimensional Poverty in Elderly. AIxAS@AI*IA 2022: 59-72 - [c19]Roberto Avogadro, Marco Cremaschi, Fabio D'Adda, Flavio De Paoli, Matteo Palmonari:
LamAPI: a comprehensive tool for string-based entity retrieval with type-base filters. OM@ISWC 2022: 25-36 - [c18]Mattia Marzocchi, Marco Cremaschi, Riccardo Pozzi, Roberto Avogadro, Matteo Palmonari:
MammoTab: A Giant and Comprehensive Dataset for Semantic Table Interpretation. SemTab@ISWC 2022: 28-33 - [c17]Marco Cremaschi, Roberto Avogadro, David Chieregato:
s-elBat: A Semantic Interpretation Approach for Messy taBle-s. SemTab@ISWC 2022: 59-71 - [c16]Marco Cremaschi, Jessica Amianto Barbato, Anisa Rula, Matteo Palmonari, Rossana Actis-Grosso:
What Really Matters in a Table? Insights from a User Study. WI/IAT 2022: 263-269 - 2021
- [c15]Marco Cremaschi, Simone Saleri, Andrea Maurino:
A geometrical deep learning model for the lexicalisation of "unseen" RDF triples. HPCC/DSS/SmartCity/DependSys 2021: 2233-2240 - [c14]Roberto Avogadro, Marco Cremaschi:
MantisTable V: A novel and efficient approach to Semantic Table Interpretation. SemTab@ISWC 2021: 79-91 - [c13]Roberto Avogadro
, Marco Cremaschi, Ernesto Jiménez-Ruiz, Anisa Rula:
A Framework for Quality Assessment of Semantic Annotations of Tabular Data. ISWC 2021: 528-545 - 2020
- [b1]Marco Cremaschi:
Enabling tabular data understanding by humans and machines through semantic interpretation. University of Milan, Italy, 2020 - [j1]Marco Cremaschi, Flavio De Paoli, Anisa Rula, Blerina Spahiu:
A fully automated approach to a complete Semantic Table Interpretation. Future Gener. Comput. Syst. 112: 478-500 (2020) - [c12]Marco Cremaschi, Alessandra Siano, Roberto Avogadro, Ernesto Jiménez-Ruiz, Andrea Maurino:
STILTool: A Semantic Table Interpretation evaLuation Tool. ESWC (Satellite Events) 2020: 61-66 - [c11]Marco Cremaschi, Roberto Avogadro, Andrea Barazzetti, David Chieregato:
MantisTable SE: an Efficient Approach for the Semantic Table Interpretation. SemTab@ISWC 2020: 75-85
2010 – 2019
- 2019
- [c10]Marco Cremaschi, Federico Bianchi, Andrea Maurino, Andrea Primo Pierotti:
Supporting Journalism by Combining Neural Language Generation and Knowledge Graphs. CLiC-it 2019 - [c9]Marco Cremaschi, Anisa Rula, Alessandra Siano, Flavio De Paoli:
MantisTable: A Tool for Creating Semantic Annotations on Tabular Data. ESWC (Satellite Events) 2019: 18-23 - [c8]Marco Cremaschi, Roberto Avogadro, David Chieregato:
MantisTable: an Automatic Approach for the Semantic Table Interpretation. SemTab@ISWC 2019: 15-24 - [c7]Marco Cremaschi, Anisa Rula, Alessandra Siano, Flavio De Paoli:
Semantic Table Interpretation Using MantisTable. OM@ISWC 2019: 195-196 - 2018
- [c6]Marco Cremaschi, Flavio De Paoli:
A Practical Approach to Services Composition Through Light Semantic Descriptions. ESOCC 2018: 130-145 - 2017
- [c5]Marco Cremaschi, Flavio De Paoli:
Toward Automatic Semantic API Descriptions to Support Services Composition. ESOCC 2017: 159-167 - [c4]Federico Bianchi, Matteo Palmonari, Marco Cremaschi, Elisabetta Fersini:
Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs. ESWC (1) 2017: 120-135 - 2016
- [c3]Meherun Nesa Lucky, Marco Cremaschi, Barbara Lodigiani, Antonio Menolascina, Flavio De Paoli:
Enriching API Descriptions by Adding API Profiles Through Semantic Annotation. ICSOC 2016: 780-794 - 2015
- [c2]Matteo Palmonari, Giorgio Uboldi, Marco Cremaschi, Daniele Ciminieri, Federico Bianchi:
DaCENA: Serendipitous News Reading with Data Contexts. ESWC (Satellite Events) 2015: 133-137 - 2013
- [c1]Claudio Baldassarre, Marco Cremaschi, Matteo Palmonari:
Bridging the Gap between Citizens and Local Administrations with Knowledge-Based Service Bundle Recommendations. DEXA Workshops 2013: 157-161
Coauthor Index
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last updated on 2024-09-25 01:42 CEST by the dblp team
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