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2020 – today
- 2021
[j4]Danilo Dessì, Francesco Osborne
, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain. Future Gener. Comput. Syst. 116: 253-264 (2021)- 2020
- [c13]Fabian Hoppe, Tabea Tietz, Danilo Dessì, Mirjam Sprau, Mehwish Alam, Harald Sack:
The Challenges of German Archival Document Categorization on Insufficient Labeled Data. WHiSe@ESWC 2020: 15-20 - [c12]Danilo Dessì, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. SmartPhil@IUI 2020: 1-12 - [c11]Sergio Consoli, Danilo Dessì, Gianni Fenu, Mirko Marras:
Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews. SmartPhil@IUI 2020: 33-49 - [c10]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta, Harald Sack:
AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence. ISWC (2) 2020: 127-143 - [i2]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain. CoRR abs/2011.01103 (2020)
2010 – 2019
- 2019
- [j3]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections. Comput. Hum. Behav. 92: 468-477 (2019) - [c9]Diego Reforgiato Recupero, Danilo Dessì, Emanuele Concas:
A Flexible and Scalable Architecture for Human-Robot Interaction. AmI 2019: 311-317 - [c8]Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Mining Scholarly Publications for Scientific Knowledge Graph Construction. ESWC (Satellite Events) 2019: 8-12 - [c7]Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Mining Scholarly Data for Fine-Grained Knowledge Graph Construction. DL4KG@ESWC 2019: 21-30 - [c6]Danilo Dessì, Mauro Dragoni, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Evaluating neural word embeddings created from online course reviews for sentiment analysis. SAC 2019: 2124-2127 - [c5]Gianluca Bardaro, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Parsing Natural Language Sentences into Robot Actions. ISWC Satellites 2019: 93-96 - [p1]Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli:
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics. Machine Learning Paradigms 2019: 7-30 - [i1]Tayeb Abderrahmani Ghor, Esha Agrawal, Mehwish Alam, Omar Alqawasmeh, Claudia d'Amato, Amina Annane, Amr Azzam, Andrew Berezovskyi, Russa Biswas, Mathias Bonduel, Quentin Brabant, Cristina-Iulia Bucur, Elena Camossi, Valentina Anita Carriero, Shruthi Chari, David Chaves-Fraga, Fiorela Ciroku, Michael Cochez, Hubert Curien, Vincenzo Cutrona, Rahma Dandan, Danilo Dessì, Valerio Di Carlo, Ahmed El Amine Djebri, Marieke van Erp, Faiq Miftakhul Falakh, Alba Fernndez Izquierdo, Giuseppe Futia, Aldo Gangemi, Simone Gasperoni, Arnaud Grall, Lars Heling, Pierre Henri, Noura Herradi, Subhi Issa, Samaneh Jozashoori, Nyoman Juniarta, Lucie-Aimée Kaffee, Ilkcan Keles, Prashant Khare, Viktor Kovtun, Valentina Leone, Siying Li, Sven Lieber, Pasquale Lisena, Tatiana Makhalova, Ludovica Marinucci, Thomas Minier, Benjamin Moreau, Alberto Moya Loustaunau, Durgesh Nandini, Sylwia Ozdowska, Amanda Pacini de Moura, Swati Padhee, Guillermo Palma, Pedro Del Pozo Jimnez, Valentina Presutti, Roberto Reda, Ettore Rizza, Henry Rosales-mndez, Sebastian Rudolph, Harald Sack, Luca Sciullo, Humasak Simanjuntak, Carlo Stomeo, Thiviyan Thanapalasingam, Tabea Tietz, Dalia Varanka, Maria-Esther Vidal, Michael Wolowyk, Maximilian Zocholl:
Linked Open Data Validity - A Technical Report from ISWS 2018. CoRR abs/1903.12554 (2019) - 2018
- [j2]Danilo Dessì, Jacopo Cirrone, Diego Reforgiato Recupero, Dennis E. Shasha:
SuperNoder: a tool to discover over-represented modular structures in networks. BMC Bioinform. 19(1): 318:1-318:12 (2018) - [c4]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases. WorldCIST (2) 2018: 1386-1396 - 2017
- [j1]Gianni Fenu, Pier Luigi Pau, Danilo Dessì:
Functional models and extending strategies for ecological networks. Appl. Netw. Sci. 2: 10 (2017) - [c3]Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli:
Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering. SeWeBMeDA@ESWC 2017: 20-34 - [c2]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos. ESWC (Satellite Events) 2017: 21-25 - 2016
- [c1]Gianni Fenu, Pier Luigi Pau, Danilo Dessì:
Modeling and Extending Ecological Networks Using Land Similarity. COMPLEX NETWORKS 2016: 709-718
Coauthor Index
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