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=Publications by [[ Danilo Dessì]]=





article

Danilo Dessì, Diego Reforgiato Recupero, Harald Sack
An Assessment of Deep Learning Models and Word Embeddings for Toxicity Detection within Online Textual Comments
MDPI Electronics, 10, (7), 2021
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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 Generation Computer Systems, 116, pages 253-264, Januar, 2021
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Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero
Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections
Computers in Human Behavior, 92, pages 468-477, 2019
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Danilo Dessì, Jacopo Cirrone, Diego Reforgiato Recupero, Dennis Shasha
SuperNoder: a tool to discover over-represented modular structures in networks
BMC Bioinformatics, 19, (318), 2018
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Gianni Fenu, Pier Luigi Pau, Danilo Dessì
Functional models and extending strategies for ecological networks
Applied Network Science, 2, (10), 2017
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inproceedings

Oleksandra Vsesviatska, Tabea Tietz, Fabian Hoppe, Mirjam Sprau, Nils Meyer, Danilo Dessì, Harald Sack
ArDO: An Ontology to Describe the Dynamics of Multimedia Archival Records
In Proc. of the 36th ACM/SIGAPP Symposium On Applied Computing (ACM SAC 2021), pages: 1855-1863, ACM
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Tabea Tietz, Oleksandra Bruns, Sandra Göller, Matthias Razum, Danilo Dessì, Harald Sack
Knowledge Graph enabled Curation and Exploration of Nuremberg’s City Heritage
In Proc. of the Conference on Digital Curation Technologies 2021 (Qurator 2021), CEUR
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Consoli Sergio, Danilo Dessì, Gianni Fenu, Mirko Marras
Deep Attention-based Model for Helpfulness Prediction of Healthcare Online Reviews
In Proc. of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), pages: 33-49, CEUR, 2596
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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
In Proc. of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), pages: 1-12, CEUR, 2596
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Fabian Hoppe, Tabea Tietz, Danilo Dessì, Nils Meyer, Mirjam Sprau, Mehwish Alam, Harald Sack
The Challenges of German Archival Document Categorization on Insufficient Labeled Data
Proceedings of Workshop on Humanities in the Semantic Web co-located with ESWC 2020, CEUR, Juni, 2020
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Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta, Harald Sack
AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence.
International Semantic Web Conference ISWC 2020, Springer, Lecture Notes in Computer Science
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Gianluca Bardaro, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero
Parsing Natural Language Sentences in Robot Actions
In Proc. of the 18th International Semantic Web Conference (ISWC 2019) Satellite Tracks, Poster Track, pages: 93-96, CEUR
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Danilo Dessì, Mauro Dragoni, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero
Evaluating neural word embeddings created from online course reviews for sentiment analysis
In Proc. of the 34th ACM/SIGAPP Symposium on Applied Computing, pages: 2124-2127, ACM
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Diego Reforgiato Recupero, Danilo Dessì, Emanuele Concas
A Flexible and Scalable Architecture for Human-Robot Interaction
In Proc. of the 15th European Conference on Ambient Intelligence (AmI 2019), pages: 57-83, Springer, 11912
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Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero
Mining Scholarly Publications for Scientific Knowledge Graph Construction
In Proc. of 16th European Semantic Web Conference (ESWC 2019) Satellite Events Poster and Demo Track, pages: 8-12, Springer, 11762
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Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero
Mining Scholarly Data for Fine-Grained Knowledge Graph Construction
In Proc. of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2019) co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019), pages: 21-30, CEUR Workshop Proceedings, 2377
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Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero
COCO: Semantic-Enriched Collection of Online Courses at Scale with Experimental Use Cases
In Proc. of World Conference on Information Systems and Technologies (WorldCIST 2018), pages: 1386-1396, Springer, 746
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Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero
Leveraging Cognitive Computing for Multi-Class Classification of E-Learning Videos.
In Proc. of 14th European Semantic Web Conference (ESWC 2017) Satellite Events, Poster Track, pages: 21-25, Springer
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Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli
Exploiting Cognitive Computing and Frame Semantic Features for Biomedical Document Clustering
In Proc. of the Workshop on Semantic Web Solutions for Large-scale Biomedical Data Analytics co-located with 14th Extended Semantic Web Conference (ESWC 2017), pages: 20-34, CEUR
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Gianni Fenu, Pier Luigi Pau, Danilo Dessì
Modeling and Extending Ecological Networks Using Land Similarity
In Proc. of the 5th International Workshop on Complex Networks and their Applications (COMPLEX NETWORKS 2016), pages: 709-718, Springer
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incollection

Danilo Dessì, Mauro Dragoni, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero
Deep Learning Adaptation with Word Embeddings for Sentiment Analysis on Online Course Reviews
Deep Learning-Based Approaches for Sentiment Analysis - Algorithms for Intelligent Systems, pages 57-83, Springer, 2020
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Danilo Dessì, Diego Reforgiato Recupero, Gianni Fenu, Sergio Consoli
A Recommender System of Medical Reports Leveraging Cognitive Computing and Frame Semantics
Machine Learning Paradigms, pages 7-30, Springer, Vol. 149, 2019
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