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Danilo Dessi'
Danilo Dessi'
Senior Researcher at GESIS - Leibniz-Institut für Sozialwissenschaften
Verified email at gesis.org - Homepage
Title
Cited by
Cited by
Year
Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections
D Dessì, G Fenu, M Marras, DR Recupero
Computers in Human Behavior 92, 468-477, 2019
1072019
AI-KG: an Automatically Generated Knowledge Graph of Artificial Intelligence
D Dessì, F Osborne, DR Recupero, D Buscaldi, E Motta, H Sack
The Semantic Web – ISWC 2020. ISWC 2020. Lecture Notes in Computer Science …, 2020
105*2020
Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain
D Dessì, F Osborne, DR Recupero, D Buscaldi, E Motta
Future Generation Computer Systems 116, 253-264, 2021
98*2021
COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases
D Dessì, G Fenu, M Marras, DR Recupero
World Conference on Information Systems and Technologies, 1386-1396, 2018
472018
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study
D Dessì, R Helaoui, V Kumar, D Reforgiato Recupero, D Riboni
CEUR Workshop Proceedings SmartPhil@IUI 2596, 1-12, 2020
44*2020
An Assessment of Deep Learning Models and Word Embeddings for Toxicity Detection within Online Textual Comments
D Dessì, DR Recupero, H Sack
Electronics 10 (7), 779, 2021
33*2021
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics
D Dessì, DR Recupero, G Fenu, S Consoli
Machine Learning Paradigms, 7-30, 2019
30*2019
CS-KG: A large-scale knowledge graph of research entities and claims in computer science
D Dessí, F Osborne, D Reforgiato Recupero, D Buscaldi, E Motta
The Semantic Web–ISWC 2022: 21st International Semantic Web Conference …, 2022
262022
Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews
D Dessí, M Dragoni, G Fenu, M Marras, DR Recupero
Deep Learning-Based Approaches for Sentiment Analysis, 57-83, 2020
252020
Evaluating neural word embeddings created from online course reviews for sentiment analysis
D Dessì, M Dragoni, G Fenu, M Marras, DR Recupero
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2124-2127, 2019
232019
SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain
D Dessí, F Osborne, DR Recupero, D Buscaldi, E Motta
Knowledge-Based Systems 258, 109945, 2022
212022
Mining Scholarly Publications for Scientific Knowledge Graph Construction
D Buscaldi, D Dessì, E Motta, F Osborne, DR Recupero
European Semantic Web Conference, 8-12, 2019
20*2019
Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos
D Dessì, G Fenu, M Marras, DR Recupero
European Semantic Web Conference, 21-25, 2017
202017
ArDO: An Ontology to Describe the Dynamics of Multimedia Archival Records
O Vsesviatska, T Tietz, F Hoppe, M Sprau, N Meyer, D Dessì, H Sack
ACM, Symposium On Applied Computing, 2021, 2021
182021
Mining Scholarly Data for Fine-Grained Knowledge Graph Construction
D Buscaldi, D Dessì, E Motta, F Osborne, D Reforgiato Recupero
CEUR Workshop Proceedings 2377, 21-30, 2019
172019
Deep Learning meets Knowledge Graphs for Scholarly Data Classification
F Hoppe, D Dessì, H Sack
Companion Proceedings of the Web Conference 2021, 417-421, 2021
152021
Completing Scientific Facts in Knowledge Graphs of Research Concepts
A Borrego, D Dessì, I Hernández, F Osborne, DR Recupero, D Ruiz, ...
IEEE Access 10, 125867-125880, 2022
132022
SuperNoder: a tool to discover over-represented modular structures in networks
D Dessì, J Cirrone, DR Recupero, D Shasha
BMC Bioinformatics 19 (1), 318, 2018
132018
Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering.
D Dessì, DR Recupero, G Fenu, S Consoli
SeWeBMeDA@ ESWC, 20-34, 2017
12*2017
Steps towards a Dislocation Ontology for Crystalline Materials
AZ Ihsan, D Dessì, M Alam, H Sack, S Sandfeld
Second International Workshop on Semantic Digital Twins, 2021
10*2021
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