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Marco Cremaschi

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2020 – today

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2024
[j4]
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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)
[j3]
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Roberto Avogadro, Fabio D'Adda, Marco Cremaschi:
Feature/vector entity retrieval and disambiguation techniques to create a supervised and unsupervised semantic table interpretation approach. Knowl. Based Syst. 304: 112447 (2024)
[j2]
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Dagmar Gromann, Elena Simona Apostol, Christian Chiarcos, Marco Cremaschi, Jorge Gracia, Katerina Gkirtzou, Chaya Liebeskind, Liudmila Mockiene, Michael Rosner, Ineke Schuurman, Gilles Sérasset, Purificação Silvano, Blerina Spahiu, Ciprian-Octavian Truica, Andrius Utka, Giedre Valunaite Oleskeviciene:
Multilinguality and LLOD: A survey across linguistic description levels. Semantic Web 15(5): 1915-1958 (2024)
[c27]
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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]
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  - journals/corr/abs-2408-06423
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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
[c26]
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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
[c25]
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  - conf/aixhmi/MalaspinaBCGGS23
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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
[c24]
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  - conf/helmeto/GuarnieriC23
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Elia Guarnieri, Marco Cremaschi:
The Digitalisation of Reinforcement Learning and Token Economy in e-Health. HELMeTO 2023: 423-439
[c23]
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  - conf/intellisys/BarbatoCRM23
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Jessica Amianto Barbato, Marco Cremaschi, Anisa Rula, Andrea Maurino:
Toward a Human-in-the-Loop Approach to Create Training Datasets for RDF Lexicalisation. IntelliSys (1) 2023: 84-101
[c22]
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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]
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  - journals/corr/abs-2310-16431
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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]
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Jessica Amianto Barbato, Marco Cremaschi:
Bridging the gap between human-gaze data and table summarisation. AIxHMI@AI*IA 2022: 1-8
[c20]
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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]
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  - conf/semweb/AvogadroCDPP22
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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]
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  - conf/semweb/MarzocchiCPAP22
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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]
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  - conf/semweb/CremaschiAC22
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Marco Cremaschi, Roberto Avogadro, David Chieregato:
s-elBat: A Semantic Interpretation Approach for Messy taBle-s. SemTab@ISWC 2022: 59-71
[c16]
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  - conf/webi/CremaschiBRPA22
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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]
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  - conf/hpcc/CremaschiSM21
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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]
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Roberto Avogadro, Marco Cremaschi:
MantisTable V: A novel and efficient approach to Semantic Table Interpretation. SemTab@ISWC 2021: 79-91
[c13]
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  - conf/semweb/AvogadroCJR21
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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]
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  - phd/it/Cremaschi20
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Marco Cremaschi:
Enabling tabular data understanding by humans and machines through semantic interpretation. University of Milan, Italy, 2020
[j1]
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  - journals/fgcs/CremaschiPRS20
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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]
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  - conf/esws/CremaschiSAJM20
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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]
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  - conf/semweb/CremaschiABC20
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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

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2019
[c10]
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Marco Cremaschi, Federico Bianchi, Andrea Maurino, Andrea Primo Pierotti:
Supporting Journalism by Combining Neural Language Generation and Knowledge Graphs. CLiC-it 2019
[c9]
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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]
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Marco Cremaschi, Roberto Avogadro, David Chieregato:
MantisTable: an Automatic Approach for the Semantic Table Interpretation. SemTab@ISWC 2019: 15-24
[c7]
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Marco Cremaschi, Anisa Rula, Alessandra Siano, Flavio De Paoli:
Semantic Table Interpretation Using MantisTable. OM@ISWC 2019: 195-196
2018
[c6]
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  - conf/esocc/CremaschiP18
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Marco Cremaschi, Flavio De Paoli:
A Practical Approach to Services Composition Through Light Semantic Descriptions. ESOCC 2018: 130-145
2017
[c5]
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Marco Cremaschi, Flavio De Paoli:
Toward Automatic Semantic API Descriptions to Support Services Composition. ESOCC 2017: 159-167
[c4]
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  - conf/esws/BianchiPCF17
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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]
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  - conf/icsoc/LuckyCLMP16
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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]
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  - conf/esws/PalmonariUCCB15
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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]
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  - conf/dexaw/BaldassarreCP13
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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

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