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Mauro Dragoni
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- affiliation: Fondazione Bruno Kessler, Trento, Italy
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2020 – today
- 2024
- [j29]Paulo Vitor de Campos Souza, Mauro Dragoni:
EFNN-Nul0- a trustworthy knowledge extraction about stress identification through evolving fuzzy neural networks. Fuzzy Sets Syst. 487: 109008 (2024) - [j28]Paulo Vitor de Campos Souza, Mauro Dragoni:
IFNN: Enhanced interpretability and optimization in FNN via Adam algorithm. Inf. Sci. 678: 121002 (2024) - [j27]Fabio Stella, Francesco Calimeri, Mauro Dragoni:
Special issue on learning from multiple data sources for decision making in health care. J. Biomed. Informatics 153: 104645 (2024) - [c133]Paulo Vitor de Campos Souza, Mauro Dragoni:
Fuzzy Neural Network Model Based on Uni-Nullneuron in Extracting Knowledge About Risk Factors of Maternal Health. AIME (1) 2024: 70-75 - [c132]Saba Ghanbari Haez, Marina Segala, Patrizio Bellan, Simone Magnolini, Leonardo Sanna, Monica Consolandi, Mauro Dragoni:
A Retrieval-Augmented Generation Strategy to Enhance Medical Chatbot Reliability. AIME (1) 2024: 213-223 - [c131]Marina Andric, Mauro Dragoni, Francesco Ricci:
Anticipating Stress: Harnessing Biomarker Signals from a Wrist-Worn Device for Early Prediction. AIME (1) 2024: 397-408 - [c130]Paulo Vitor de Campos Souza, Mauro Dragoni:
Knowledge extraction in auction verification employing techniques from machine learning and fuzzy neural networks. EAIS 2024: 1-8 - [c129]Paulo Vitor de Campos Souza, Mauro Dragoni:
PEFNN: Parallel Evolving Fuzzy Neural Network for Sepsis Identification in Patients. FUZZ 2024: 1-9 - [c128]Paulo Vitor de Campos Souza, Mauro Dragoni:
OFNN-UNI: Enhanced Optimized Fuzzy Neural Networks Based on Unineurons for Advanced Sepsis Classification. ICANN (8) 2024: 116-131 - [c127]Paulo Vitor de Campos Souza, Gianluca Apriceno, Mauro Dragoni:
Enhancing Logical Tensor Networks: Integrating Uninorm-Based Fuzzy Operators for Complex Reasoning. NeSy (2) 2024: 68-79 - [c126]Patrizio Bellan, Mauro Dragoni:
PET Annotation Visualizer: A Tool to Visualize the Process Model Extraction from Text (PET) Dataset. NLDB (2) 2024: 79-84 - [c125]Patrizio Bellan, Mauro Dragoni, Chiara Ghidini:
Process Knowledge Extraction and Knowledge Graph Construction Through Prompting: A Quantitative Analysis. SAC 2024: 1634-1641 - 2023
- [j26]Mauro Dragoni, Claudio Eccher, Antonella Ferro, Tania Bailoni, Rosa Maimone, Andrea Zorzi, Alessandro Bacchiega, Gabriele Stulzer, Chiara Ghidini:
Supporting patients and clinicians during the breast cancer care path with AI: The Arianna solution. Artif. Intell. Medicine 138: 102514 (2023) - [j25]Mauro Dragoni, Tania Bailoni, Ivan Donadello, Jean-Claude Martin, Helena Lindgren:
Integrating Functional Status Information into Knowledge Graphs to Support Self-Health Management. Data Intell. 5(3): 636-662 (2023) - [j24]Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, Damien Graux:
Large Language Models and Knowledge Graphs: Opportunities and Challenges. TGDK 1(1): 2:1-2:38 (2023) - [c124]Mauro Dragoni, Tania Bailoni, Gabriele Sacco, Loris Bozzato:
A Modular Strategy to Build a Large-Scale Functional Status Knowledge Graph. JOWO 2023 - [c123]Monica Consolandi, Simone Magnolini, Mauro Dragoni:
Misunderstanding and Risk Communication in Healthcare. NL4AI@AI*IA 2023 - [c122]Milene Santos Teixeira, Mauro Dragoni:
Plan and Ontology-Based Dialogue Policies for Healthcare. PLATO@ICAPS 2023 - [e12]Francesco Calimeri, Mauro Dragoni, Fabio Stella:
Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), Rome, Italy, 08 November 2023. CEUR Workshop Proceedings 3578, CEUR-WS.org 2023 [contents] - [e11]Catia Pesquita, Ernesto Jiménez-Ruiz, Jamie P. McCusker, Daniel Faria, Mauro Dragoni, Anastasia Dimou, Raphaël Troncy, Sven Hertling:
The Semantic Web - 20th International Conference, ESWC 2023, Hersonissos, Crete, Greece, May 28 - June 1, 2023, Proceedings. Lecture Notes in Computer Science 13870, Springer 2023, ISBN 978-3-031-33454-2 [contents] - [i6]Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, Damien Graux:
Large Language Models and Knowledge Graphs: Opportunities and Challenges. CoRR abs/2308.06374 (2023) - 2022
- [j23]Milene Santos Teixeira, Mauro Dragoni:
A Review of Plan-Based Approaches for Dialogue Management. Cogn. Comput. 14(3): 1019-1038 (2022) - [j22]Piergiorgio Bertoli, Francesco Corcoglioniti, Chiara Di Francescomarino, Mauro Dragoni, Chiara Ghidini, Marco Pistore:
Semantic modeling and analysis of complex data-aware processes and their executions. Expert Syst. Appl. 198: 116702 (2022) - [j21]Mauro Dragoni, Ivan Donadello, Erik Cambria:
OntoSenticNet 2: Enhancing Reasoning Within Sentiment Analysis. IEEE Intell. Syst. 37(2): 103-110 (2022) - [j20]Davide Buscaldi, Mauro Dragoni, Flavius Frasincar, Diego Reforgiato Recupero:
Special issue on senti-mental health: Future generation sentiment analysis systems. Future Gener. Comput. Syst. 129: 170-173 (2022) - [j19]Ivan Donadello, Mauro Dragoni:
AI-enabled persuasive personal health assistant. Soc. Netw. Anal. Min. 12(1): 106 (2022) - [c121]Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. AAAI 2022: 5592-5599 - [c120]Tania Bailoni, Mauro Dragoni, Ivan Donadello:
Modeling a Functional Status Knowledge Graph For Personal Health. HC@AIxIA 2022: 31-46 - [c119]Patrizio Bellan, Mauro Dragoni, Chiara Ghidini:
Assisted Process Knowledge Graph Building Using Pre-trained Language Models. AI*IA 2022: 60-74 - [c118]Patrizio Bellan, Chiara Ghidini, Mauro Dragoni, Simone Paolo Ponzetto, Han van der Aa:
Process Extraction from Natural Language Text: the PET Dataset and Annotation Guidelines. NL4AI@AI*IA 2022: 177-191 - [c117]Patrizio Bellan, Han van der Aa, Mauro Dragoni, Chiara Ghidini, Simone Paolo Ponzetto:
PET: An Annotated Dataset for Process Extraction from Natural Language Text Tasks. Business Process Management Workshops 2022: 315-321 - [c116]Patrizio Bellan, Mauro Dragoni, Chiara Ghidini:
Extracting Business Process Entities and Relations from Text Using Pre-trained Language Models and In-Context Learning. EDOC 2022: 182-199 - [c115]Patrizio Bellan, Mauro Dragoni, Chiara Ghidini:
Experiment Maker: A Tool to Create Experiments with GPT-3 Easily. EKAW (Companion) 2022 - [e10]Francesco Calimeri, Mauro Dragoni, Fabio Stella:
1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022) co-located with the 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022), Udine, Italy, November 30 2022. CEUR Workshop Proceedings 3307, CEUR-WS.org 2022 [contents] - [d2]Ivan Donadello, Mauro Dragoni:
The Food and Food Categories (FFoCat) Dataset. Zenodo, 2022 - [d1]Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
A Dataset for Utility Prediction in Computational Persuasion with Machine Learning Techniques. Zenodo, 2022 - [i5]Patrizio Bellan, Han van der Aa, Mauro Dragoni, Chiara Ghidini, Simone Paolo Ponzetto:
PET: A new Dataset for Process Extraction from Natural Language Text. CoRR abs/2203.04860 (2022) - [i4]Patrizio Bellan, Mauro Dragoni, Chiara Ghidini:
Leveraging pre-trained language models for conversational information seeking from text. CoRR abs/2204.03542 (2022) - 2021
- [c114]Roger Ferrod, Enrico Brunetti, Luigi Di Caro, Chiara Di Francescomarino, Mauro Dragoni, Chiara Ghidini, Renata Marinello, Emilio Sulis:
A Support for Understanding Medical Notes: Correcting Spelling Errors in Italian Clinical Records. SMARTERCARE@AI*IA 2021: 19-28 - [c113]Roberto Aringhieri, Guido Boella, Enrico Brunetti, Luigi Di Caro, Chiara Di Francescomarino, Mauro Dragoni, Roger Ferrod, Chiara Ghidini, Renata Marinello, Massimiliano Ronzani, Emilio Sulis:
Leveraging Structured Data in Predictive Process Monitoring: the Case of the ICD-9-CM in the Scenario of the Home Hospitalization Service. SMARTERCARE@AI*IA 2021: 48-60 - [c112]Massimiliano Ronzani, Roger Ferrod, Chiara Di Francescomarino, Emilio Sulis, Roberto Aringhieri, Guido Boella, Enrico Brunetti, Luigi Di Caro, Mauro Dragoni, Chiara Ghidini, Renata Marinello:
Unstructured Data in Predictive Process Monitoring: Lexicographic and Semantic Mapping to ICD-9-CM Codes for the Home Hospitalization Service. AI*IA 2021: 700-715 - [c111]Milene Santos Teixeira, Ivan Donadello, Mauro Dragoni:
Explanations in Digital Health: The Case of Supporting People Lifestyles. AIME 2021: 287-292 - [c110]Roberto Aringhieri, Guido Boella, Enrico Brunetti, Luigi Di Caro, Chiara Di Francescomarino, Mauro Dragoni, Roger Ferrod, Chiara Ghidini, Renata Marinello, Massimiliano Ronzani, Emilio Sulis:
Towards the Application of Process Mining for Supporting the Home Hospitalization Service. ITBPM@BPM 2021: 33-38 - [c109]Milene Santos Teixeira, Vinícius Maran, Mauro Dragoni:
Towards Semantic-Awareness for Information Management and Planning in Health Dialogues. CBMS 2021: 372-377 - [c108]Mauro Dragoni, Tania Bailoni, Jean-Claude Martin, Helena Lindgren, Esteban Guerrero Rosero:
An Ontology-Based Coaching Solution for Increasing Self-Awareness of Own Functional Status. AI4Function@IJCAI 2021: 1-11 - [c107]Milene Santos Teixeira, Vinícius Maran, Mauro Dragoni:
The interplay of a conversational ontology and AI planning for health dialogue management. SAC 2021: 611-619 - [e9]Sarra Ben Abbès, Rim Hantach, Philippe Calvez, Davide Buscaldi, Danilo Dessì, Mauro Dragoni, Diego Reforgiato Recupero, Harald Sack:
Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021) co-located with co-located with 18th Extended Semantic Web Conference 2021, Hersonissos, Greece, June 6th - 7th, 2021 (moved online). CEUR Workshop Proceedings 2918, CEUR-WS.org 2021 [contents] - [e8]Andreas Hotho, Eva Blomqvist, Stefan Dietze, Achille Fokoue, Ying Ding, Payam M. Barnaghi, Armin Haller, Mauro Dragoni, Harith Alani:
The Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, ISWC 2021, Virtual Event, October 24-28, 2021, Proceedings. Lecture Notes in Computer Science 12922, Springer 2021, ISBN 978-3-030-88360-7 [contents] - [i3]Patrizio Bellan, Mauro Dragoni, Chiara Ghidini:
Process Extraction from Text: state of the art and challenges for the future. CoRR abs/2110.03754 (2021) - [i2]Adrien Bennetot, Ivan Donadello, Ayoub El Qadi, Mauro Dragoni, Thomas Frossard, Benedikt Wagner, Anna Saranti, Silvia Tulli, Maria Trocan, Raja Chatila, Andreas Holzinger, Artur S. d'Avila Garcez, Natalia Díaz Rodríguez:
A Practical Tutorial on Explainable AI Techniques. CoRR abs/2111.14260 (2021) - [i1]Ivan Donadello, Anthony Hunter, Stefano Teso, Mauro Dragoni:
Machine Learning for Utility Prediction in Argument-Based Computational Persuasion. CoRR abs/2112.04953 (2021) - 2020
- [j18]Mauro Dragoni, Ivan Donadello, Claudio Eccher:
Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice. Artif. Intell. Medicine 105: 101840 (2020) - [c106]Patrizio Bellan, Mauro Dragoni, Chiara Ghidini:
A Qualitative Analysis of the State of the Art in Process Extraction from Text. DP@AI*IA 2020: 19-30 - [c105]Ivan Donadello, Mauro Dragoni:
SeXAI: Introducing Concepts into Black Boxes for Explainable Artificial Intelligence. XAI.it@AI*IA 2020: 41-54 - [c104]Ivan Donadello, Mauro Dragoni:
SeXAI: A Semantic Explainable Artificial Intelligence Framework. AI*IA 2020: 51-66 - [c103]Andi Rexha, Mauro Dragoni, Roman Kern:
A Neural-based Architecture For Small Datasets Classification. JCDL 2020: 319-327 - [c102]Matteo Antonio Senese, Giuseppe Rizzo, Mauro Dragoni, Maurizio Morisio:
MTSI-BERT: A Session-aware Knowledge-based Conversational Agent. LREC 2020: 717-725 - [c101]Milene Santos Teixeira, Célia da Costa Pereira, Mauro Dragoni:
A Goal-Based Framework for Supporting Medical Assistance: The Case of Chronic Diseases. PRIMA 2020: 281-298 - [c100]Ivan Donadello, Mauro Dragoni, Claudio Eccher:
Explaining reasoning algorithms with persuasiveness: a case study for a behavioural change system. SAC 2020: 646-653 - [c99]Milene Santos Teixeira, Célia da Costa Pereira, Mauro Dragoni:
Information Usefulness as a Strategy for Action Selection in Health Dialogues. WI/IAT 2020: 323-330
2010 – 2019
- 2019
- [j17]Mauro Dragoni:
An Evolutionary Strategy For Concept-Based Multi-Domain Sentiment Analysis. IEEE Comput. Intell. Mag. 14(2): 18-27 (2019) - [j16]Mauro Dragoni, Marco Federici, Andi Rexha:
ReUS: a Real-time Unsupervised System For Monitoring Opinion Streams. Cogn. Comput. 11(4): 469-488 (2019) - [j15]Mauro Dragoni, Marco Federici, Andi Rexha:
An unsupervised aspect extraction strategy for monitoring real-time reviews stream. Inf. Process. Manag. 56(3): 1103-1118 (2019) - [j14]Marco Rospocher, Francesco Corcoglioniti, Mauro Dragoni:
Boosting Document Retrieval with Knowledge Extraction and Linked Data. Semantic Web 10(4): 753-778 (2019) - [c98]Ivan Donadello, Mauro Dragoni:
Ontology-Driven Food Category Classification in Images. ICIAP (2) 2019: 607-617 - [c97]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 - [c96]Mauro Dragoni:
Semantic AI for Healthcare: The HORUS.AI platform. SWH@ISWC 2019: 1-4 - [c95]Mauro Dragoni, Valentina A. M. Tamma:
Extending HeLiS: From Chronic Diseases to Behavior Change. SWH@ISWC 2019: 9-19 - [c94]Mauro Dragoni, Claudio Eccher, Stefano Forti, Sara Puccini, Barbara Purin, Alessandro Valentini:
TreC Diabetes: A Semantic Platform For Supporting The Self-management of Patients. SWH@ISWC 2019: 30-41 - [c93]Milene Santos Teixeira, Mauro Dragoni, Claudio Eccher:
A Planning Strategy For Dialogue Management in Healthcare. SWH@ISWC 2019: 42-50 - [c92]Ivan Donadello, Mauro Dragoni, Claudio Eccher:
Persuasive Explanation of Reasoning Inferences on Dietary Data. PROFILES/SEMEX@ISWC 2019: 46-61 - [c91]Ivan Donadello, Mauro Dragoni:
An End-to-End Semantic Platform for Nutritional Diseases Management. ISWC (2) 2019: 363-381 - [p3]Mauro Dragoni, Tania Bailoni, Rosa Maimone, Michele Marchesoni, Claudio Eccher:
A Flexible Knowledge-Based Architecture for Supporting the Adoption of Healthy Lifestyles with Persuasive Dialogs. Data Science for Healthcare 2019: 239-265 - 2018
- [j13]Mauro Dragoni, Célia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata:
Combining argumentation and aspect-based opinion mining: The SMACk system. AI Commun. 31(1): 75-95 (2018) - [j12]Mauro Dragoni, Soujanya Poria, Erik Cambria:
OntoSenticNet: A Commonsense Ontology for Sentiment Analysis. IEEE Intell. Syst. 33(3): 77-85 (2018) - [j11]Mauro Dragoni, Giulio Petrucci:
A fuzzy-based strategy for multi-domain sentiment analysis. Int. J. Approx. Reason. 93: 59-73 (2018) - [j10]Rosa Maimone, Marco Guerini, Mauro Dragoni, Tania Bailoni, Claudio Eccher:
PerKApp: A general purpose persuasion architecture for healthy lifestyles. J. Biomed. Informatics 82: 70-87 (2018) - [j9]Mauro Dragoni, Marco Rospocher:
Applied cognitive computing: challenges, approaches, and real-world experiences. Prog. Artif. Intell. 7(4): 249-250 (2018) - [c90]Bernardo Magnini, Vevake Balaraman, Mauro Dragoni, Marco Guerini, Simone Magnolini, Valerio Piccioni:
CH1: A Conversational System to Calculate Carbohydrates in a Meal. AI*IA 2018: 110-122 - [c89]Mauro Dragoni:
Learning Fuzzy User Models for News Recommender Systems. AI*IA 2018: 502-515 - [c88]Mauro Dragoni, Erik Cambria:
Semantic Sentiment Analysis Challenge at ESWC2018. SemWebEval@ESWC 2018: 117-128 - [c87]Marco Federici, Mauro Dragoni:
The KABSA System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 151-166 - [c86]Giulio Petrucci, Mauro Dragoni:
The IRMUDOSA System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 167-185 - [c85]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
The CLAUSY System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 186-196 - [c84]Mauro Dragoni:
The NeuroSent System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 197-215 - [c83]Mauro Dragoni:
The FeatureSent System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 216-231 - [c82]Mauro Dragoni:
Computational advertising in social networks: an opinion mining-based approach. SAC 2018: 1798-1804 - [c81]Mauro Dragoni:
NEUROSENT-PDI at SemEval-2018 Task 1: Leveraging a Multi-Domain Sentiment Model for Inferring Polarity in Micro-blog Text. SemEval@NAACL-HLT 2018: 102-108 - [c80]Mauro Dragoni:
NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model. SemEval@NAACL-HLT 2018: 512-519 - [c79]Mauro Dragoni:
NEUROSENT-PDI at SemEval-2018 Task 7: Discovering Textual Relations With a Neural Network Model. SemEval@NAACL-HLT 2018: 848-852 - [c78]Mauro Dragoni, Tania Bailoni, Rosa Maimone, Claudio Eccher:
HeLiS: An Ontology for Supporting Healthy Lifestyles. ISWC (2) 2018: 53-69 - [c77]Mauro Dragoni, Tania Bailoni, Rosa Maimone, Michele Marchesoni, Claudio Eccher:
HORUS.AI - A Knowledge-based Solution Supporting Health Persuasive Self-Monitoring. ISWC (P&D/Industry/BlueSky) 2018 - [c76]Mauro Dragoni, Marco Rospocher, Tania Bailoni, Rosa Maimone, Claudio Eccher:
Semantic Technologies for Healthy Lifestyle Monitoring. ISWC (2) 2018: 307-324 - [e7]Diego Reforgiato Recupero, Mauro Dragoni, Davide Buscaldi, Mehwish Alam, Erik Cambria:
Proceedings of 4th Workshop on Sentic Computing, Sentiment Analysis, Opinion Mining, and Emotion Detection (EMSASW 2018) Co-located with the 15th Extended Semantic Web Conference 2018 (ESWC 2018), Heraklion, Greece, June 4, 2018. CEUR Workshop Proceedings 2111, CEUR-WS.org 2018 [contents] - 2017
- [j8]Mauro Dragoni:
A Three-Phase Approach for Exploiting Opinion Mining in Computational Advertising. IEEE Intell. Syst. 32(3): 21-27 (2017) - [j7]Mauro Dragoni, Sara Tonelli, Giovanni Moretti:
A Knowledge Management Architecture for Digital Cultural Heritage. ACM Journal on Computing and Cultural Heritage 10(3): 15:1-15:18 (2017) - [j6]Mauro Dragoni, Giulio Petrucci:
A Neural Word Embeddings Approach for Multi-Domain Sentiment Analysis. IEEE Trans. Affect. Comput. 8(4): 457-470 (2017) - [c75]Mauro Dragoni, Serena Villata, Williams Rizzi, Guido Governatori:
Combining Natural Language Processing Approaches for Rule Extraction from Legal Documents. AICOL 2017: 287-300 - [c74]Mauro Dragoni:
Extracting Linguistic Features From Opinion Data Streams For Multi-Domain Sentiment Analysis. EMSASW@ESWC 2017 - [c73]Marco Federici, Mauro Dragoni:
A Branching Strategy For Unsupervised Aspect-based Sentiment Analysis. EMSASW@ESWC 2017 - [c72]Marco Federici, Mauro Dragoni:
Aspect-Based Opinion Mining Using Knowledge Bases. SemWebEval@ESWC 2017: 133-147 - [c71]Giulio Petrucci, Mauro Dragoni:
The IRMUDOSA System at ESWC-2017 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2017: 148-165 - [c70]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Opinion Mining with a Clause-Based Approach. SemWebEval@ESWC 2017: 166-175 - [c69]Mauro Dragoni, Andi Rexha, Hermann Ziak, Roman Kern:
A semantic federated search engine for domain-specific document retrieval. SAC 2017: 303-308 - [c68]Mauro Dragoni, Tania Bailoni, Claudio Eccher, Marco Guerini, Rosa Maimone:
A semantic-enabled platform for supporting healthy lifestyles. SAC 2017: 315-322 - [e6]Mauro Dragoni, Monika Solanki, Eva Blomqvist:
Semantic Web Challenges - 4th SemWebEval Challenge at ESWC 2017, Portoroz, Slovenia, May 28 - June 1, 2017, Revised Selected Papers. Communications in Computer and Information Science 769, Springer 2017, ISBN 978-3-319-69145-9 [contents] - [e5]Mauro Dragoni, Diego Reforgiato Recupero:
Proceedings of the 3rd International Workshop at ESWC on Emotions, Modality, Sentiment Analysis and the Semantic Web co-located with 14th ESWC 2017, Portroz, Slovenia, May 28, 2017. CEUR Workshop Proceedings 1874, CEUR-WS.org 2017 [contents] - [e4]Mauro Dragoni, María Poveda-Villalón, Ernesto Jiménez-Ruiz:
OWL: - Experiences and Directions - Reasoner Evaluation - 13th International Workshop, OWLED 2016, and 5th International Workshop, ORE 2016, Bologna, Italy, November 20, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10161, Springer 2017, ISBN 978-3-319-54626-1 [contents] - 2016
- [c67]Mauro Dragoni, Diego Reforgiato Recupero:
Challenge on Fine-Grained Sentiment Analysis Within ESWC2016. SemWebEval@ESWC 2016: 79-94 - [c66]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Exploiting Propositions for Opinion Mining. SemWebEval@ESWC 2016: 121-125 - [c65]Giulio Petrucci, Mauro Dragoni:
The IRMUDOSA System at ESWC-2016 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2016: 126-140 - [c64]Marco Federici, Mauro Dragoni:
A Knowledge-Based Approach for Aspect-Based Opinion Mining. SemWebEval@ESWC 2016: 141-152 - [c63]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Polarity Classification for Target Phrases in Tweets: A Word2Vec Approach. ESWC (Satellite Events) 2016: 217-223 - [c62]Francesco Corcoglioniti, Mauro Dragoni, Marco Rospocher, Alessio Palmero Aprosio:
Knowledge Extraction for Information Retrieval. ESWC 2016: 317-333 - [c61]Mauro Dragoni, Elena Cabrio, Sara Tonelli, Serena Villata:
Enriching a Small Artwork Collection Through Semantic Linking. ESWC 2016: 724-740 - [c60]Marco Federici, Mauro Dragoni:
Towards Unsupervised Approaches For Aspects Extraction. EMSA-RMed@ESWC 2016 - [c59]Mauro Dragoni, Célia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata:
SMACk: An Argumentation Framework for Opinion Mining. IJCAI 2016: 4242-4243 - [c58]Tania Bailoni, Mauro Dragoni, Claudio Eccher, Marco Guerini, Rosa Maimone:
PerKApp: A context aware motivational system for healthier lifestyles. ISC2 2016: 1-4 - [c57]