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ORCIDDiego Reforgiato Recupero
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- affiliation: Università degli Studi di Cagliari, Italy
- affiliation (foermer): University of Maryland, College Park, USA
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2020 – today
- 2024
[j86]Simone Angioni
, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino:
Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. IEEE Access 12: 77269-77283 (2024)- [j85]Rubén Alonso, Danilo Dessì, Antonello Meloni, Diego Reforgiato Recupero:
A Novel Knowledge Plug-In for Incorporating Information About Employability From the O*NET Database Into Conversational Agents. IEEE Access 12: 92663-92681 (2024) - [j84]Gianfranco Lombardo, Andrea Bertogalli, Sergio Consoli, Diego Reforgiato Recupero:
Natural Language Processing and Deep Learning for Bankruptcy Prediction: An End-to-End Architecture. IEEE Access 12: 151075-151091 (2024) - [j83]Rubén Alonso, Danilo Dessì, Antonello Meloni, Marco Murgia, Diego Reforgiato Recupero, Giuseppe Scarpi:
A Seamless ChatGPT Knowledge Plug-in for the Labour Market. IEEE Access 12: 155821-155837 (2024) - [j82]Nino Cauli, Diego Reforgiato Recupero:
Synthetic Data Augmentation for Video Action Classification Using Unity. IEEE Access 12: 156172-156183 (2024) - [j81]Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
A comparative analysis of knowledge injection strategies for large language models in the scholarly domain. Eng. Appl. Artif. Intell. 133: 108166 (2024) - [j80]Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Inf. 15(7): 398 (2024) - [j79]Davide Buscaldi, Danilo Dessì, Enrico Motta, Marco Murgia, Francesco Osborne, Diego Reforgiato Recupero:
Citation prediction by leveraging transformers and natural language processing heuristics. Inf. Process. Manag. 61(1): 103583 (2024) - [j78]Nino Cauli, Marco Murgia, Diego Reforgiato Recupero, Giuseppe Scarpi:
Leveraging transformers architectures and augmentation for efficient classification of fasteners and natural language searches. Discov. Comput. 27(1): 10 (2024) - [c131]Simone Balloccu, Ehud Reiter, Karen Li, Rafael Sargsyan, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni, Ondrej Dusek:
Ask the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration. EMNLP (Findings) 2024: 11519-11545 - [c130]Jens Lehmann, Antonello Meloni, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Sahar Vahdati:
Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. ESWC (1) 2024: 199-217 - [c129]Aldo Gangemi, Arianna Graciotti, Antonello Meloni, Eleonora Marzi, Andrea Giovanni Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero, Alessandro Russo, Rocco Tripodi:
MusicBO, an Application of Text2AMR2FRED to the Musical Heritage Domain. ESWC Satellite Events (1) 2024: 212-216 - [c128]Diego Reforgiato Recupero, Lorenzo Boi:
Towards Seamless Human-Robot Dialogue through a Robot Action Ontology. ESWC Workshops 2024 - [c127]Diego Reforgiato Recupero, Lorenzo Boi:
Integrating Action Robot Ontology for Enhanced Human-Robot Interaction: A NAO Robot Case Study. ESWC Satellite Events (1) 2024: 306-310 - [c126]Alessia Pisu, Livio Pompianu, Angelo A. Salatino, Francesco Osborne, Daniele Riboni, Enrico Motta, Diego Reforgiato Recupero:
Classifying Scientific Topic Relationships with SciBERT. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c125]Mehwish Alam, Davide Buscaldi, Michael Cochez, Genet Asefa Gesese, Francesco Osborne, Diego Reforgiato Recupero:
Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG). KDD 2024: 6704-6705 - [c124]Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino:
Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. SemTech4STLD@ESWC 2024: 49-60 - [c123]Davide Buscaldi, Danilo Dessì, Enrico Motta, Marco Murgia, Francesco Osborne, Diego Reforgiato Recupero:
Automating Citation Placement with Natural Language Processing and Transformers. SemTech4STLD@ESWC 2024: 68-75 - [c122]Enrico Motta, Angelo A. Salatino, Francesco Osborne, Livio Pompianu, Alessia Pisu, Diego Reforgiato Recupero, Daniele Riboni:
Leveraging Language Models for Generating Ontologies of Research Topics. TEXT2KG/DQMLKG@ESWC 2024: 11 - [c121]Danilo Dessì, Gianni Fenu, Sergio Consoli, Vanni Zavarella, Francesco Osborne, Davide Buscaldi, Simone Angioni, Diego Reforgiato Recupero:
Knowledge Graphs for Digital Transformation Monitoring in Social Media. TEXT2KG/DQMLKG@ESWC 2024: 13 - [c120]Paola Busia, Claudio Marche, Paolo Meloni, Diego Reforgiato Recupero:
Design of an AI-driven Architecture with Cobots for Digital Transformation to Enhance Quality Control in the Food Industry. UMAP (Adjunct Publication) 2024 - [c119]Gianni Fenu, Roberta Galici, Mirko Marras, Diego Reforgiato Recupero:
Exploring Student Interactions with AI in Programming Training. UMAP (Adjunct Publication) 2024 - [c118]Vanni Zavarella, Diego Reforgiato Recupero, Sergio Consoli, Gianni Fenu:
Charting the Landscape of Digital Health: Towards A Knowledge Graph Approach to News Media Analysis. UMAP (Adjunct Publication) 2024 - [e14]Gianfranco Lombardo, Felix Theusch, Marco Picone, Diego Reforgiato Recupero, Giuseppe Vizzari:
The Second Workshop on AI for Digital Twins and Cyber-Physical Applications in conjunction with 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju - South Korea, August 3rd 2024. CEUR Workshop Proceedings 3807, CEUR-WS.org 2024 [contents] - [i16]Simone Balloccu, Ehud Reiter, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
Ask the experts: sourcing high-quality datasets for nutritional counselling through Human-AI collaboration. CoRR abs/2401.08420 (2024) - [i15]Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah, Zixiu Wu, Ivan Rodin, Asfand Yaar, Simone Balloccu, Marharyta Beraziuk, Sebastiano Battiato, Giovanni Maria Farinella, Aki Härmä, Rim Helaoui, Milan Petkovic, Diego Reforgiato Recupero, Ehud Reiter, Daniele Riboni, Raymond Sterling:
PhilHumans: Benchmarking Machine Learning for Personal Health. CoRR abs/2405.02770 (2024) - [i14]Vanni Zavarella, Sergio Consoli, Diego Reforgiato Recupero, Gianni Fenu, Simone Angioni, Davide Buscaldi, Danilo Dessì, Francesco Osborne:
Triplètoile: Extraction of Knowledge from Microblogging Text. CoRR abs/2408.14908 (2024) - [i13]Vivek Kumar, Eirini Ntoutsi, Pushpraj Singh Rajawat, Giacomo Medda, Diego Reforgiato Recupero:
Unlocking LLMs: Addressing Scarce Data and Bias Challenges in Mental Health. CoRR abs/2412.12981 (2024) - 2023
- [j77]Antonello Meloni, Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain. IEEE Access 11: 22468-22489 (2023) - [j76]Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain. IEEE Access 11: 67567-67599 (2023) - [j75]Farid Bagheri, Diego Reforgiato Recupero, Espen Sirnes:
Leveraging Return Prediction Approaches for Improved Value-at-Risk Estimation. Data 8(8): 133 (2023) - [j74]Golshid Ranjbaran, Diego Reforgiato Recupero, Gianfranco Lombardo, Sergio Consoli:
Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach. EPJ Data Sci. 12(1): 24 (2023) - [j73]Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni:
Creation, Analysis and Evaluation of AnnoMI, a Dataset of Expert-Annotated Counselling Dialogues. Future Internet 15(3): 110 (2023) - [j72]Joze M. Rozanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli Ghinani, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaz Fortuna, Dunja Mladenic, John Soldatos:
Human-centric artificial intelligence architecture for industry 5.0 applications. Int. J. Prod. Res. 61(20): 6847-6872 (2023) - [j71]Ahlam Kourid, Salim Chikhi, Diego Reforgiato Recupero:
Fuzzy optimized V-detector algorithm on Apache Spark for class imbalance issue of intrusion detection in big data. Neural Comput. Appl. 35(27): 19821-19845 (2023) - [j70]Simone Angioni, Nathan Lincoln-DeCusatis, Andrea Ibba, Diego Reforgiato Recupero:
A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks. PeerJ Comput. Sci. 9: e1410 (2023) - [c117]Zixiu Wu, Simone Balloccu, Ehud Reiter, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni:
Are Experts Needed? On Human Evaluation of Counselling Reflection Generation. ACL (1) 2023: 6906-6930 - [c116]Vivek Kumar, Giacomo Medda, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui, Gianni Fenu:
How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment. BIAS 2023: 119-133 - [c115]Vincenzo De Leo, Gianni Fenu, David Greco, Nicolo Bidotti, Paolo Platter, Enrico Motta, Andrea Giovanni Nuzzolese, Francesco Osborne, Diego Reforgiato Recupero:
Ontology-Based Generation of Data Platform Assets. IEEE Big Data 2023: 2937-2941 - [c114]Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enhancing Large Language Models with Knowledge Graphs for Classification Tasks in the Tourism Domain. DL4KG@ISWC 2023 - [c113]Vincenzo De Leo, Andrea Cadeddu, Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models. DL4KG@ISWC 2023 - [c112]Zixiu Wu, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni:
Towards Effective Automatic Evaluation of Generated Reflections for Motivational Interviewing. ICMI Companion 2023: 368-373 - [c111]Rubén Alonso, Danilo Dessì, Antonello Meloni, Diego Reforgiato Recupero:
A General and NLP-based Architecture to perform Recommendation: A Use Case for Online Job Search and Skills Acquisition. SAC 2023: 936-938 - [c110]Aldo Gangemi, Arianna Graciotti, Antonello Meloni, Andrea Giovanni Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero, Alessandro Russo, Rocco Tripodi:
Text2AMR2FRED, a Tool for Transforming Text into RDF/OWL Knowledge Graphs via Abstract Meaning Representation. ISWC (Posters/Demos/Industry) 2023 - [c109]Antonello Meloni, Simone Angioni, Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta:
AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape. ISWC 2023: 400-418 - [e13]Gianfranco Lombardo, Marco Picone, Diego Reforgiato Recupero, Giuseppe Vizzari:
The First Workshop on AI for Digital Twins and Cyber-Physical Applications in conjunction with 32nd International Joint Conference on Artificial Intelligence (AI4DT&CP@IJCAI 2023), Macao S.A.R, August 19th 2023. CEUR Workshop Proceedings 3541, CEUR-WS.org 2023 [contents] - [i12]Angelo A. Salatino, Simone Angioni, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science. CoRR abs/2306.15344 (2023) - 2022
- [j69]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific Conferences. IEEE Access 10: 39471-39486 (2022) - [j68]Vivek Kumar, Diego Reforgiato Recupero, Rim Helaoui, Daniele Riboni:
K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain. IEEE Access 10: 91802-91815 (2022) - [j67]Agustín Borrego, Danilo Dessì, Inma Hernández, Francesco Osborne, Diego Reforgiato Recupero, David Ruiz, Davide Buscaldi, Enrico Motta:
Completing Scientific Facts in Knowledge Graphs of Research Concepts. IEEE Access 10: 125867-125880 (2022) - [j66]Salvatore M. Carta, Sergio Consoli, Alessandro Giuliani, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence. IEEE Access 10: 127328-127344 (2022) - [j65]Salvatore Carta, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
VSTAR: Visual Semantic Thumbnails and tAgs Revitalization. Expert Syst. Appl. 193: 116375 (2022) - [j64]Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Statistical arbitrage powered by Explainable Artificial Intelligence. Expert Syst. Appl. 206: 117763 (2022) - [j63]Mehwish Alam, Anna Fensel, Jorge Martínez Gil, Bernhard Moser, Diego Reforgiato Recupero, Harald Sack:
Special Issue on Machine Learning and Knowledge Graphs. Future Gener. Comput. Syst. 129: 50-53 (2022) - [j62]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) - [j61]Nino Cauli, Diego Reforgiato Recupero:
Survey on Videos Data Augmentation for Deep Learning Models. Future Internet 14(3): 93 (2022) - [j60]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Simulating crowd behaviour combining both microscopic and macroscopic rules. Inf. Sci. 583: 137-158 (2022) - [j59]Danilo Dessì, Diego Reforgiato Recupero:
LexTex: a framework to generate lexicons using WordNet word senses in domain specific categories. J. Intell. Inf. Syst. 59(1): 21-44 (2022) - [j58]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain. Knowl. Based Syst. 258: 109945 (2022) - [j57]Rubén Alonso, Alessandro Bonini, Diego Reforgiato Recupero, Lucio Davide Spano:
Exploiting virtual reality and the robot operating system to remote-control a humanoid robot. Multim. Tools Appl. 81(11): 15565-15592 (2022) - [j56]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Modelling group dynamics for crowd simulations. Pers. Ubiquitous Comput. 26(5): 1299-1319 (2022) - [j55]Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
Editorial of the Special Issue on Deep Learning and Knowledge Graphs. Semantic Web 13(3): 293-297 (2022) - [j54]Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
An eXplainable Artificial Intelligence tool for statistical arbitrage. Softw. Impacts 14: 100354 (2022) - [c108]Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enriching Data Lakes with Knowledge Graphs (short paper). TEXT2KG/MK@ESWC 2022: 123-131 - [c107]Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Ehud Reiter, Diego Reforgiato Recupero, Daniele Riboni:
Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues. ICASSP 2022: 6177-6181 - [c106]Zixiu Wu, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni:
Towards Automated Counselling Decision-Making: Remarks on Therapist Action Forecasting on the AnnoMI Dataset. INTERSPEECH 2022: 1906-1910 - [c105]Silvio Barra, Salvatore Carta, Antonello Meloni, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
A Practical Approach for Vehicle Speed Estimation in Smart Cities. LOD (1) 2022: 253-267 - [c104]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science. ISWC 2022: 678-696 - [c103]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta:
Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature. ISWC 2022: 735-752 - [i11]Joze M. Rozanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaz Fortuna, Dunja Mladenic, John Soldatos:
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications. CoRR abs/2203.10794 (2022) - 2021
- [j53]Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui:
Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification From Clinical Notes. IEEE Access 9: 7107-7126 (2021) - [j52]Salvatore M. Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage. IEEE Access 9: 29942-29959 (2021) - [j51]Salvatore M. Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting. IEEE Access 9: 30193-30205 (2021) - [j50]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Andrey Kravchenko, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Enrico Motta, Jens Lehmann:
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. IEEE Access 9: 116002-116014 (2021) - [j49]Salvatore Carta, Andrea Corriga, Anselmo Ferreira, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning. Appl. Intell. 51(2): 889-905 (2021) - [j48]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
The boundary node method for multi-robot multi-goal path planning problems. Expert Syst. J. Knowl. Eng. 38(6) (2021) - [j47]Salvatore Carta, Anselmo Ferreira, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Antonio Sanna:
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting. Expert Syst. Appl. 164: 113820 (2021) - [j46]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) - [j45]Diego Reforgiato Recupero:
Technology Enhanced Learning Using Humanoid Robots. Future Internet 13(2): 32 (2021) - [j44]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link prediction on scholarly knowledge graphs. Neurocomputing 461: 530-542 (2021) - [j43]Rubén Alonso, Daniele Bortoluzzi, Andrea Costa, Thomas Messervey, Massimiliano Raciti, Diego Reforgiato Recupero:
A flexible and extensible project planning and management tool tailored for European projects. Int. J. Serv. Technol. Manag. 27(4/5/6): 421-448 (2021) - [j42]Mehwish Alam, Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero:
Semantic role labeling for knowledge graph extraction from text. Prog. Artif. Intell. 10(3): 309-320 (2021) - [j41]Salvatore Carta, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space. Prog. Artif. Intell. 10(4): 417-432 (2021) - [j40]Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Event detection in finance using hierarchical clustering algorithms on news and tweets. PeerJ Comput. Sci. 7: e438 (2021) - [j39]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
AIDA: A knowledge graph about research dynamics in academia and industry. Quant. Sci. Stud. 2(4): 1356-1398 (2021) - [j38]Roberto Saia, Alessandro Sebastian Podda, Livio Pompianu, Diego Reforgiato Recupero, Gianni Fenu:
A Blockchain-Based Distributed Paradigm to Secure Localization Services. Sensors 21(20): 6814 (2021) - [c102]Simone Angioni, Salvatore Carta, Sergio Consoli, Diego Reforgiato Recupero, Maria Madalina Stanciu:
A Big Data framework based on Apache Spark for Industry-specific Lexicon Generation for Stock Market Prediction. ICFNDS 2021: 616-624 - [c101]Joze M. Rozanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaz Fortuna, Dunja Mladenic, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos:
STARdom: An Architecture for Trusted and Secure Human-Centered Manufacturing Systems. APMS (4) 2021: 199-207 - [c100]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Simulating People Dynamics. Intelligent Environments 2021: 1-8 - [c99]Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Explainable AI for Financial Forecasting. LOD 2021: 51-69 - [c98]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta:
Assessing Scientific Conferences through Knowledge Graphs. ISWC (Posters/Demos/Industry) 2021 - [c97]Antonello Meloni, Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs. ISWC (Posters/Demos/Industry) 2021 - [e12]Mehwish Alam, Davide Buscaldi, Michael Cochez, Diego Reforgiato Recupero, Harald Sack:
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG 2021) co-located with the 20th International Semantic Web Conference (ISWC 2021), Virtual Conference, online, October 25, 2021. CEUR Workshop Proceedings 3034, CEUR-WS.org 2021 [contents] - [e11]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] - [i10]Joze M. Rozanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaz Fortuna, Dunja Mladenic, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos:
STARdom: an architecture for trusted and secure human-centered manufacturing systems. CoRR abs/2104.00983 (2021) - [i9]Yousef Alizadeh-Q, Behrouz Minaei-Bidgoli, Sayyed-Ali Hossayni, Mohammad-R. Akbarzadeh-T., Diego Reforgiato Recupero, Mohammad Reza Rajati, Aldo Gangemi:
Interval Probabilistic Fuzzy WordNet. CoRR abs/2104.10660 (2021) - [i8]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. CoRR abs/2105.09632 (2021) - [i7]Zixiu Wu, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
Towards Detecting Need for Empathetic Response in Motivational Interviewing. CoRR abs/2105.09649 (2021) - [i6]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link Prediction on Scholarly Knowledge Graphs. CoRR abs/2107.03297 (2021) - 2020
- [j37]Salvatore Carta, Anselmo Ferreira, Diego Reforgiato Recupero, Marco Saia, Roberto Saia:
A combined entropy-based approach for a proactive credit scoring. Eng. Appl. Artif. Intell. 87 (2020) - [j36]Mattia Atzeni, Diego Reforgiato Recupero:
Multi-domain sentiment analysis with mimicked and polarized word embeddings for human-robot interaction. Future Gener. Comput. Syst. 110: 984-999 (2020) - [j35]Federica Gerina, Silvia M. Massa, Francesca Moi, Diego Reforgiato Recupero, Daniele Riboni:
Recognition of cooking activities through air quality sensor data for supporting food journaling. Hum. centric Comput. Inf. Sci. 10: 27 (2020) - [j34]Silvio Barra, Salvatore M. Carta, Andrea Corriga, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Deep learning and time series-to-image encoding for financial forecasting. IEEE CAA J. Autom. Sinica 7(3): 683-692 (2020) - [j33]Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Roberto Saia, Giovanni Usai:
Popularity Prediction of Instagram Posts. Inf. 11(9): 453 (2020) - [j32]Diego Reforgiato Recupero, Federico Spiga:
Knowledge acquisition from parsing natural language expressions for humanoid robot action commands. Inf. Process. Manag. 57(6): 102094 (2020) - [j31]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
A Boundary Node Method for path planning of mobile robots. Robotics Auton. Syst. 123 (2020) - [c96]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics. ADBIS/TPDL/EDA Workshops 2020: 219-225 - [c95]Rubén Alonso, Emanuele Concas, Diego Reforgiato Recupero:
A Flexible and Scalable Social Robot Architecture Employing Voice Assistant Technologies. cAESAR 2020: 36-40 - [c94]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu:
A Feature Space Transformation to Intrusion Detection Systems. KDIR 2020: 137-144 - [c93]Roman Denysiuk, Fabio Lilliu, Meritxell Vinyals, Diego Reforgiato Recupero:
Intelligent Local Energy Communities: A Multiagent System Approach. ICAART (Revised Selected Papers) 2020: 26-51 - [c92]Roman Denysiuk, Fabio Lilliu, Meritxell Vinyals, Diego Reforgiato Recupero:
Multiagent System for Community Energy Management. ICAART (1) 2020: 28-39 - [c91]Roman Denysiuk, Fabio Lilliu, Diego Reforgiato Recupero, Meritxell Vinyals:
Peer-to-peer Energy Trading for Smart Energy Communities. ICAART (1) 2020: 40-49 - [c90]Fabio Lilliu, Roman Denysiuk, Diego Reforgiato Recupero, Meritxell Vinyals:
A Game-Theoretical Incentive Mechanism for Local Energy Communities. ICAART (Revised Selected Papers) 2020: 52-72 - [c89]Salvatore Carta, Sergio Consoli, Andrea Corriga, Raffaele Dapiaggi, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
HawkEye: a Visual Framework for Agile Cross-Validation of Deep Learning Approaches in Financial Forecasting. ICFNDS 2020: 46:1-46:6 - [c88]Zixiu Wu, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
Towards Detecting Need for Empathetic Response in Motivational Interviewing. ICMI Companion 2020: 497-502 - [c87]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 - [c86]Sergio Consoli, Diego Reforgiato Recupero, Daniele Riboni:
SmartPHIL: 1st Workshop on Smart Personal Health Interfaces. IUI Companion 2020: 5-6 - [c85]Nino Cauli, Diego Reforgiato Recupero:
Video Action Recognition and Prediction Architecture for a Robotic Coach (short paper). SmartPhil@IUI 2020: 69-77 - [c84]Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast. LOD (1) 2020: 162-176 - [c83]Salvatore Carta, Diego Reforgiato Recupero, Roberto Saia, Maria Madalina Stanciu:
A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage. LOD (1) 2020: 489-503 - [c82]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 - [c81]Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
The AIDA Dashboard: Analysing Conferences with Semantic Technologies. ISWC (Demos/Industry) 2020: 271-276 - [c80]Antonella Arca, Salvatore Carta, Alessandro Giuliani, Maria Madalina Stanciu, Diego Reforgiato Recupero:
Automated Tag Enrichment by Semantically Related Trends. WEBIST 2020: 183-193 - [c79]Salvatore Carta, Eugenio Gaeta, Alessandro Giuliani, Leonardo Piano, Diego Reforgiato Recupero:
Efficient Thumbnail Identification through Object Recognition. WEBIST 2020: 209-216 - [e10]Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020 - moved online. CEUR Workshop Proceedings 2635, CEUR-WS.org 2020 [contents] - [e9]Sergio Consoli, Diego Reforgiato Recupero, Daniele Riboni:
Proceedings of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces, SmartPhil@IUI 2020, Cagliari, Italy, March 17, 2020. CEUR Workshop Proceedings 2596, CEUR-WS.org 2020 [contents] - [i5]Sayyed-Ali Hossayni, Mohammad-R. Akbarzadeh-T., Diego Reforgiato Recupero, Aldo Gangemi, Esteve del Acebo, Josep Lluís de la Rosa i Esteva:
An Algorithm for Fuzzification of WordNets, Supported by a Mathematical Proof. CoRR abs/2006.04042 (2020) - [i4]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
- [j30]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) - [j29]Diego Reforgiato Recupero, Mehwish Alam, Davide Buscaldi, Aude Grezka, Farideh Tavazoee:
Frame-Based Detection of Figurative Language in Tweets [Application Notes]. IEEE Comput. Intell. Mag. 14(4): 77-88 (2019) - [j28]Salvatore Carta, Andrea Corriga, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading. Comput. 7(4): 67 (2019) - [j27]Salvatore Carta, Andrea Medda, Alessio Pili, Diego Reforgiato Recupero, Roberto Saia:
Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data. Future Internet 11(1): 5 (2019) - [j26]Salvatore Carta, Gianni Fenu, Diego Reforgiato Recupero, Roberto Saia:
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model. J. Inf. Secur. Appl. 46: 13-22 (2019) - [j25]Amna Dridi, Diego Reforgiato Recupero:
Leveraging semantics for sentiment polarity detection in social media. Int. J. Mach. Learn. Cybern. 10(8): 2045-2055 (2019) - [j24]Amna Dridi, Mattia Atzeni, Diego Reforgiato Recupero:
FineNews: fine-grained semantic sentiment analysis on financial microblogs and news. Int. J. Mach. Learn. Cybern. 10(8): 2199-2207 (2019) - [c78]Diego Reforgiato Recupero, Danilo Dessì, Emanuele Concas:
A Flexible and Scalable Architecture for Human-Robot Interaction. AmI 2019: 311-317 - [c77]Federica Gerina, Barbara Pes, Diego Reforgiato Recupero, Daniele Riboni:
Toward Supporting Food Journaling Using Air Quality Data Mining and a Social Robot. AmI 2019: 318-323 - [c76]Fabio Lilliu, Meritxell Vinyals, Roman Denysiuk, Diego Reforgiato Recupero:
A novel payment scheme for trading renewable energy in smart grid. e-Energy 2019: 111-115 - [c75]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 - [c74]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 - [c73]Salvatore Carta, Andrea Corriga, Riccardo Mulas, Diego Reforgiato Recupero, Roberto Saia:
A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification. KDIR 2019: 105-112 - [c72]Salvatore Carta, Gianni Fenu, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance. IC3K 2019: 134-157 - [c71]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Marco Saia:
A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring. KDIR 2019: 202-213 - [c70]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Maria Madalina Stanciu:
A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection Systems. KDIR 2019: 322-329 - [c69]Raza Abdulla Saeed, Diego Reforgiato Recupero:
Path Planning of a Mobile Robot in Grid Space using Boundary Node Method. ICINCO (2) 2019: 159-166 - [c68]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 - [c67]Simone Angioni, Francesco Osborne, Angelo Antonio Salatino, Diego Reforgiato Recupero, Enrico Motta:
Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. ISWC (Satellites) 2019: 85-88 - [c66]Gianluca Bardaro, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Parsing Natural Language Sentences into Robot Actions. ISWC (Satellites) 2019: 93-96 - [c65]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu:
Internet of Entities (IoE): A Blockchain-based Distributed Paradigm for Data Exchange between Wireless-based Devices. SENSORNETS 2019: 77-84 - [p3]Ziawasch Abedjan, Nozha Boujemaa, Stuart Campbell, Patricia Casla, Supriyo Chatterjea, Sergio Consoli, Cristóbal Costa Soria, Paul Czech, Marija Despenic, Chiara Garattini, Dirk Hamelinck, Adrienne Heinrich, Wessel Kraaij, Jacek Kustra, Aizea Lojo, Marga Martin Sanchez, Miguel Angel Mayer, Matteo Melideo, Ernestina Menasalvas, Frank Møller Aarestrup, Elvira Narro Artigot, Milan Petkovic, Diego Reforgiato Recupero, Alejandro Rodríguez González, Gisele Roesems Kerremans, Roland Roller, Mário Romão, Stefan Rüping, Felix Sasaki, Wouter Spek, Nenad Stojanovic, Jack Thoms, Andrejs Vasiljevs, Wilfried Verachtert, Roel Wuyts:
Data Science in Healthcare: Benefits, Challenges and Opportunities. Data Science for Healthcare 2019: 3-38 - [p2]Luigi Asprino, Aldo Gangemi, Andrea Giovanni Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero, Alessandro Russo:
Ontology-Based Knowledge Management for Comprehensive Geriatric Assessment and Reminiscence Therapy on Social Robots. Data Science for Healthcare 2019: 173-193 - [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 - [e8]Sergio Consoli, Diego Reforgiato Recupero, Milan Petkovic:
Data Science for Healthcare - Methodologies and Applications. Springer 2019, ISBN 978-3-030-05248-5 [contents] - [e7]Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019) Co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019), Portoroz, Slovenia, June 2, 2019. CEUR Workshop Proceedings 2377, CEUR-WS.org 2019 [contents] - 2018
- [j23]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) - [j22]Mattia Atzeni, Amna Dridi, Diego Reforgiato Recupero:
Using frame-based resources for sentiment analysis within the financial domain. Prog. Artif. Intell. 7(4): 273-294 (2018) - [c64]Federico Ibba, Stefano Ferru, Diego Reforgiato Recupero:
Supervised Topic-Based Message Polarity Classification using Cognitive Computing. EMSASW@ESWC 2018: 11-21 - [c63]Mattia Atzeni, Diego Reforgiato Recupero:
Deep Learning and Sentiment Analysis for Human-Robot Interaction. ESWC (Satellite Events) 2018: 14-18 - [c62]Andrea Corriga, Simone Cusimano, Francesca Maridina Malloci, Lodovica Marchesi, Diego Reforgiato Recupero:
Leveraging Cognitive Computing for Gender and Emotion Detection. EMSASW@ESWC 2018: 47-56 - [c61]Mattia Atzeni, Diego Reforgiato Recupero:
Fine-Tuning of Word Embeddings for Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 140-150 - [c60]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero:
A Probabilistic-driven Ensemble Approach to Perform Event Classification in Intrusion Detection System. KDIR 2018: 139-146 - [c59]Ilyas Chaoua, Sergio Consoli, Aki Härmä, Rim Helaoui, Diego Reforgiato Recupero:
Analysis of Topic Propagation in Therapy Sessions Using Partially Labeled Latent Dirichlet Allocation. AIH@IJCAI (Revised Selected Papers) 2018: 59-75 - [c58]Ilyas Chaoua, Diego Reforgiato Recupero, Sergio Consoli, Aki Härmä, Rim Helaoui:
Detecting and tracking ongoing topics in psychotherapeutic conversations. AIH@IJCAI 2018: 97-108 - [c57]Giuliano Armano, Sebastiano Battiato, Davide Bennato, Ludovico Boratto, Salvatore M. Carta, Tommaso Di Noia, Eugenio Di Sciascio, Alessandro Ortis, Diego Reforgiato Recupero:
NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system. SEBD 2018 - [c56]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 - [e6]Davide Buscaldi, Aldo Gangemi, Diego Reforgiato Recupero:
Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018, Heraklion, Greece, June 3-7, 2018, Revised Selected Papers. Communications in Computer and Information Science 927, Springer 2018, ISBN 978-3-030-00071-4 [contents] - [e5]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] - [r3]V. S. Subrahmanian, Maria Vanina Martinez, Diego Reforgiato Recupero:
Multimedia Presentation Databases. Encyclopedia of Database Systems (2nd ed.) 2018 - [i3]Mehwish Alam, Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero:
Semantic Role Labeling for Knowledge Graph Extraction from Text. CoRR abs/1811.01409 (2018) - 2017
- [j21]Sergio Consoli, Valentina Presutti, Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Silvio Peroni, Misael Mongiovì, Aldo Gangemi:
Producing Linked Data for Smart Cities: The Case of Catania. Big Data Res. 7: 1-15 (2017) - [j20]Mehwish Alam, Diego Reforgiato Recupero, Misael Mongiovì, Aldo Gangemi, Petar Ristoski:
Event-based knowledge reconciliation using frame embeddings and frame similarity. Knowl. Based Syst. 135: 192-203 (2017) - [j19]Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Francesco Draicchio, Misael Mongiovì:
Semantic Web Machine Reading with FRED. Semantic Web 8(6): 873-893 (2017) - [c55]Christos Kouroupetroglou, Dympna Casey, Massimiliano Raciti, Eva Barrett, Grazia D'Onofrio, Francesco Ricciardi, Francesco Giuliani, Antonio Greco, Daniele Sancarlo, Arlene Mannion, Sally Whelan, Geoff Pegman, Adamantios Koumpis, Diego Reforgiato Recupero, Angelos Kouroupetroglou, Adam Santorelli:
Interacting with Dementia: The MARIO Approach. AAATE Conf. 2017: 38-47 - [c54]Nicoletta Dessì, Matteo Pani, Barbara Pes, Diego Reforgiato Recupero:
An Approach for Discovering and Exploring Semantic Relationships between Genes. SeWeBMeDA@ESWC 2017: 1-15 - [c53]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 - [c52]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 - [c51]Luigi Asprino, Aldo Gangemi, Andrea Giovanni Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero, Alessandro Russo:
Autonomous Comprehensive Geriatric Assessment. AnSWeR@ESWC 2017: 42-45 - [c50]Amna Dridi, Mattia Atzeni, Diego Reforgiato Recupero:
Bearish-Bullish Sentiment Analysis on Financial Microblogs. EMSASW@ESWC 2017 - [c49]Amna Dridi, Diego Reforgiato Recupero:
MORE SENSE: MOvie REviews SENtiment analysis boosted with SEmantics. EMSASW@ESWC 2017 - [c48]Antonello Meloni, Diego Reforgiato Recupero, Aldo Gangemi:
AMR2FRED, A Tool for Translating Abstract Meaning Representation to Motif-Based Linguistic Knowledge Graphs. ESWC (Satellite Events) 2017: 43-47 - [c47]Diego Reforgiato Recupero, Erik Cambria, Emanuele Di Rosa:
Semantic Sentiment Analysis Challenge at ESWC2017. SemWebEval@ESWC 2017: 109-123 - [c46]Mattia Atzeni, Amna Dridi, Diego Reforgiato Recupero:
Fine-Grained Sentiment Analysis on Financial Microblogs and News Headlines. SemWebEval@ESWC 2017: 124-128 - [c45]Walid Iguider, Diego Reforgiato Recupero:
Language Independent Sentiment Analysis of the Shukran Social Network Using Apache Spark. SemWebEval@ESWC 2017: 129-132 - [c44]Grazia D'Onofrio, Daniele Sancarlo, Massimiliano Raciti, Diego Reforgiato Recupero, Antonio Mangiacotti, Alessandro Russo, Francesco Ricciardi, Alessandra Vitanza, Filippo Cantucci, Valentina Presutti, Thomas Messervey, Stefano Nolfi, Filippo Cavallo, Eva Barrett, Sally Whelan, Dympna Casey, Francesco Giuliani, Antonio Greco:
MARIO Project: Experimentation in the Hospital Setting. ForItAAL 2017: 289-303 - [c43]Mehwish Alam, Diego Reforgiato Recupero, Misael Mongiovì, Aldo Gangemi, Petar Ristoski:
Frame Embeddings for Event-Based Knowledge Reconciliation. ISWC (Posters, Demos & Industry Tracks) 2017 - [c42]Mehwish Alam, Diego Reforgiato Recupero, Misael Mongiovì, Aldo Gangemi, Petar Ristoski:
Reconciling Event-Based Knowledge Through RDF2VEC. HybridSemStats@ISWC 2017 - [c41]Diego Reforgiato Recupero, Mehwish Alam, Aldo Gangemi, Valentina Presutti:
Frame Semantic Parsing using Framester Knowledge Graphs. ISWC (Posters, Demos & Industry Tracks) 2017 - [e4]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] - 2016
- [j18]Aldo Gangemi, Diego Reforgiato Recupero, Misael Mongiovì, Andrea Giovanni Nuzzolese, Valentina Presutti:
Identifying motifs for evaluating open knowledge extraction on the Web. Knowl. Based Syst. 108: 33-41 (2016) - [j17]Misael Mongiovì, Diego Reforgiato Recupero, Aldo Gangemi, Valentina Presutti, Sergio Consoli:
Merging open knowledge extracted from text with MERGILO. Knowl. Based Syst. 108: 155-167 (2016) - [j16]Valentina Presutti, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi, Diego Reforgiato Recupero:
From hyperlinks to Semantic Web properties using Open Knowledge Extraction. Semantic Web 7(4): 351-378 (2016) - [c40]Sayyed-Ali Hossayni, Mohammad Reza Rajati, Esteve del Acebo, Diego Reforgiato Recupero, Aldo Gangemi, Mohammad-R. Akbarzadeh-T., Josep Lluís de la Rosa i Esteva:
Towards Interval Version of Fuzzy Synsets. CCIA 2016: 297-302 - [c39]Aldo Gangemi, Mehwish Alam, Luigi Asprino, Valentina Presutti, Diego Reforgiato Recupero:
Framester: A Wide Coverage Linguistic Linked Data Hub. EKAW 2016: 239-254 - [c38]Mauro Dragoni, Diego Reforgiato Recupero:
Challenge on Fine-Grained Sentiment Analysis Within ESWC2016. SemWebEval@ESWC 2016: 79-94 - [c37]Sayyed-Ali Hossayni, Mohammad-R. Akbarzadeh-T., Diego Reforgiato Recupero, Aldo Gangemi, Josep Lluís de la Rosa i Esteva:
Fuzzy Synsets, and Lexicon-Based Sentiment Analysis. EMSA-RMed@ESWC 2016 - [c36]Andrea Giovanni Nuzzolese, Silvio Peroni, Diego Reforgiato Recupero:
ACM: Article Content Miner for Assessing the Quality of Scientific Output. SemWebEval@ESWC 2016: 281-292 - [c35]Aldo Gangemi, Andrea Giovanni Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero:
Adjective Semantics in Open Knowledge Extraction. FOIS 2016: 167-180 - [c34]Nicoletta Dessì, Gianfranco Garau, Diego Reforgiato Recupero, Barbara Pes:
Increasing Open Government Data Transparency with Spatial Dimension. WETICE 2016: 247-249 - [e3]Mauro Dragoni, Diego Reforgiato Recupero, Kerstin Denecke, Yihan Deng, Thierry Declerck:
Joint Proceedings of the 2th Workshop on Emotions, Modality, Sentiment Analysis and the Semantic Web and the 1st International Workshop on Extraction and Processing of Rich Semantics from Medical Texts co-located with ESWC 2016, Heraklion, Greece, May 29, 2016. CEUR Workshop Proceedings 1613, CEUR-WS.org 2016 [contents] - [i2]Diego Reforgiato Recupero, Mario Castronovo, Sergio Consoli, Tarcisio Costanzo, Aldo Gangemi, Luigi Grasso, Giorgia Lodi, Gianluca Merendino, Misael Mongiovì, Valentina Presutti, Salvatore Davide Rapisarda, Salvo Rosa, Emanuele Spampinato:
An Innovative, Open, Interoperable Citizen Engagement Cloud Platform for Smart Government and Users' Interaction. CoRR abs/1605.07343 (2016) - 2015
- [j15]Diego Reforgiato Recupero, Valentina Presutti, Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese:
Sentilo: Frame-Based Sentiment Analysis. Cogn. Comput. 7(2): 211-225 (2015) - [c33]Sergio Consoli, Diego Reforgiato Recupero:
Using FRED for Named Entity Resolution, Linking and Typing for Knowledge Base Population. SemWebEval@ESWC 2015: 40-50 - [c32]Andrea Giovanni Nuzzolese, Silvio Peroni, Diego Reforgiato Recupero:
MACJa: Metadata and Citations Jailbreaker. SemWebEval@ESWC 2015: 117-128 - [c31]Diego Reforgiato Recupero, Mauro Dragoni, Valentina Presutti:
ESWC 15 Challenge on Concept-Level Sentiment Analysis. SemWebEval@ESWC 2015: 211-222 - [c30]Misael Mongiovì, Diego Reforgiato Recupero, Aldo Gangemi, Valentina Presutti, Andrea Giovanni Nuzzolese, Sergio Consoli:
Semantic reconciliation of knowledge extracted from text through a novel machine reader. K-CAP 2015: 25:1-25:4 - [c29]Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Sergio Consoli, Valentina Presutti, Misael Mongiovì, Silvio Peroni:
Extracting knowledge from text using SHELDON, a Semantic Holistic framEwork for LinkeD ONtology data. WWW (Companion Volume) 2015: 235-238 - [c28]Sergio Consoli, Diego Reforgiato Recupero, Misael Mongiovì, Valentina Presutti, Gianni Cataldi, Wladimiro Patatu:
An Urban Fault Reporting and Management Platform for Smart Cities. WWW (Companion Volume) 2015: 535-540 - [c27]Anna Lisa Gentile, Maribel Acosta, Luca Costabello, Andrea Giovanni Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero:
Conference Live: Accessible and Sociable Conference Semantic Data. WWW (Companion Volume) 2015: 1007-1012 - [c26]Sergio Consoli, Misael Mongiovì, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Diego Reforgiato Recupero, Daria Spampinato:
A Smart City Data Model based on Semantics Best Practice and Principles. WWW (Companion Volume) 2015: 1395-1400 - [e2]Aldo Gangemi, Harith Alani, Malvina Nissim, Erik Cambria, Diego Reforgiato Recupero, Vitaveska Lanfranchi, Tomi Kauppinen:
Joint Proceedings of the 1th Workshop on Semantic Sentiment Analysis (SSA2014), and the Workshop on Social Media and Linked Data for Emergency Response (SMILE 2014) co-located with 11th European Semantic Web Conference (ESWC 2014), Crete, Greece, May 25th, 2014. CEUR Workshop Proceedings 1329, CEUR-WS.org 2015 [contents] - 2014
- [j14]Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero:
Frame-Based Detection of Opinion Holders and Topics: A Model and a Tool. IEEE Comput. Intell. Mag. 9(1): 20-30 (2014) - [j13]Raffaele Bolla, Roberto Bruschi, Franco Davoli, Pasquale Donadio, Leonardo Fialho, Martin Collier, Alfio Lombardo, Diego Reforgiato Recupero, Vincenzo Riccobene, Tivadar Szemethy:
A northbound interface for power management in next generation network devices. IEEE Commun. Mag. 52(1): 149-157 (2014) - [c25]Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi, Valentina Presutti:
SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data. EKAW (Satellite Events) 2014: 136-139 - [c24]Sergio Consoli, Andrea Giovanni Nuzzolese, Valentina Presutti, Diego Reforgiato Recupero, Aldo Gangemi:
Legalo: Revealing the Semantics of Links. EKAW (Satellite Events) 2014: 140-144 - [c23]Valentina Presutti, Sergio Consoli, Andrea Giovanni Nuzzolese, Diego Reforgiato Recupero, Aldo Gangemi, Ines Bannour, Haïfa Zargayouna:
Uncovering the Semantics of Wikipedia Pagelinks. EKAW 2014: 413-428 - [c22]Diego Reforgiato Recupero, Erik Cambria:
ESWC'14 Challenge on Concept-Level Sentiment Analysis. SemWebEval@ESWC 2014: 3-20 - [c21]Diego Reforgiato Recupero, Aldo Gangemi, Andrea Giovanni Nuzzolese, Sergio Consoli, Daria Spampinato, Valentina Presutti:
Semantic Web-based Sentiment Analysis. SSA-SMILE@ESWC 2014: 25-28 - [c20]Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Diego Reforgiato Recupero, Daria Spampinato:
Towards emergency vehicle routing using Geolinked Open Data: the case study of the Municipality of Catania. SSA-SMILE@ESWC 2014: 31-42 - [c19]Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Diego Reforgiato Recupero, Daria Spampinato:
Setting the Course of Emergency Vehicle Routing Using Geolinked Open Data for the Municipality of Catania. ESWC (Satellite Events) 2014: 42-53 - [c18]Diego Reforgiato Recupero, Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese, Daria Spampinato:
A Semantic Web Based Core Engine to Efficiently Perform Sentiment Analysis. ESWC (Satellite Events) 2014: 245-248 - [c17]Sergio Consoli, Aldo Gangemi, Andrea Giovanni Nuzzolese, Silvio Peroni, Valentina Presutti, Diego Reforgiato Recupero, Daria Spampinato:
Geolinked Open Data for the Municipality of Catania. WIMS 2014: 58:1-58:8 - [e1]Valentina Presutti, Milan Stankovic, Erik Cambria, Iván Cantador, Angelo Di Iorio, Tommaso Di Noia, Christoph Lange, Diego Reforgiato Recupero, Anna Tordai:
Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers. Communications in Computer and Information Science 475, Springer 2014, ISBN 978-3-319-12023-2 [contents] - [i1]Sergio Consoli, Diego Reforgiato Recupero, Vanni Zavarella:
A survey on tidal analysis and forecasting methods for Tsunami detection. CoRR abs/1403.0135 (2014) - 2013
- [j12]Alfio Lombardo, Diego Reforgiato Recupero, Vincenzo Riccobene, Giovanni Schembra:
Design of a Temperature-Constrained Governor to Save Energy in an Open Multi-Frequency Green Router. Int. J. Bus. Data Commun. Netw. 9(3): 16-34 (2013) - [j11]Raffaele Bolla, Roberto Bruschi, Franco Davoli, Lorenzo Di Gregorio, Pasquale Donadio, Leonardo Fialho, Martin Collier, Alfio Lombardo, Diego Reforgiato Recupero, Tivadar Szemethy:
The Green Abstraction Layer: A Standard Power-Management Interface for Next-Generation Network Devices. IEEE Internet Comput. 17(2): 82-86 (2013) - [j10]Giuseppe Incarbone, Alfio Lombardo, Diego Reforgiato Recupero, Giovanni Schembra:
A comprehensive platform to manage peer churn and bandwidth fluctuations in real-time multimedia P2P networks. Multim. Tools Appl. 63(3): 851-873 (2013) - [c16]Raffaele Bolla, Roberto Bruschi, Franco Davoli, Pasquale Donadio, Leonardo Fialho, Martin Collier, Alfio Lombardo, Diego Reforgiato Recupero, Vincenzo Riccobene, Tivadar Szemethy:
Exposing energy-aware capabilities in next generation network devices. ICC Workshops 2013: 1286-1290 - [c15]Aldo Gangemi, Ehab Hassan, Valentina Presutti, Diego Reforgiato Recupero:
FRED as an Event Extraction Tool. DeRiVE@ISWC 2013: 14-17 - [c14]Aldo Gangemi, Francesco Draicchio, Valentina Presutti, Andrea Giovanni Nuzzolese, Diego Reforgiato Recupero:
A Machine Reader for the Semantic Web. ISWC (Posters & Demos) 2013: 149-152 - 2012
- [j9]Lorenzo Favalli, Marco Folli, Alfio Lombardo, Diego Reforgiato Recupero, Giovanni Schembra:
Design of a service platform for delay-sensitive video streaming applications based on multicast p2p and scalable MDC encoding. Comput. Commun. 35(18): 2254-2263 (2012) - [j8]Alfio Lombardo, Antonio Masto, Diego Reforgiato Recupero, Giovanni Schembra:
A Dynamic Jitter-Controlled Tree-Based P2P Network Topology for Multipoint Multimedia Applications. J. Interconnect. Networks 13(1-2) (2012) - [c13]Alfio Lombardo, Carla Panarello, Diego Reforgiato Recupero, Giovanni Schembra:
Power control and management in the NetFPGA gigabit router. Future Network & Mobile Summit 2012: 1-8 - [c12]Alfio Lombardo, Carla Panarello, Diego Reforgiato Recupero, Giovanni Schembra:
Measuring and modeling energy consumption to design a green NetFPGA giga-router. GLOBECOM 2012: 3062-3067 - [c11]Alfio Lombardo, Diego Reforgiato Recupero, Vincenzo Riccobene, Giovanni Schembra:
A Markov model to control heat dissipation in open multi-frequency green routers. SustainIT 2012: 1-9 - [c10]Alfio Lombardo, Diego Reforgiato Recupero, Vincenzo Riccobene, Giovanni Schembra:
Modeling temperature and dissipation behavior of an open multi-frequency green router. OnlineGreenComm 2012: 120-125 - 2011
- [c9]Giovanni Giuffrida, Diego Reforgiato Recupero, Giuseppe Tribulato, Calogero G. Zarba:
A banner recommendation system based on web navigation history. CIDM 2011: 291-296 - [c8]Alfio Lombardo, Carla Panarello, Diego Reforgiato Recupero, Enrico Santagati, Giovanni Schembra:
A Module for Packet Hijacking in NetFPGA Platform. DSD 2011: 283-286 - [c7]Alfio Lombardo, Diego Reforgiato Recupero, Giovanni Schembra:
An accelerated and energy-efficient traffic monitor using the NetFPGA (abstract only). FPGA 2011: 277 - 2010
- [j7]Octavian Udrea, Diego Reforgiato Recupero, V. S. Subrahmanian:
Annotated RDF. ACM Trans. Comput. Log. 11(2): 10:1-10:41 (2010)
2000 – 2009
- 2009
- [j6]Alfio Lombardo, Diego Reforgiato Recupero, Giovanni Schembra:
P2P and MPEG FGS Encoding: A Good Recipe for Multipoint Video Transmission on the Internet. Int. J. Digit. Multim. Broadcast. 2009: 453471:1-453471:21 (2009) - [r2]Diego Reforgiato Recupero:
Efficient Graph Matching. Encyclopedia of Data Warehousing and Mining 2009: 736-743 - [r1]V. S. Subrahmanian, Maria Vanina Martinez, Diego Reforgiato Recupero:
Multimedia Presentation Databases. Encyclopedia of Database Systems 2009: 1829-1831 - 2008
- [j5]V. S. Subrahmanian, Diego Reforgiato Recupero:
AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis. IEEE Intell. Syst. 23(4): 43-50 (2008) - [j4]Diego Reforgiato Recupero, Rodrigo A. Gutiérrez, Dennis E. Shasha:
Graphclust: a Method for Clustering Database of Graphs. J. Inf. Knowl. Manag. 7(4): 231-241 (2008) - 2007
- [j3]V. S. Subrahmanian, Massimiliano Albanese, Maria Vanina Martinez, Dana S. Nau, Diego Reforgiato Recupero, Gerardo I. Simari, Amy Sliva, Octavian Udrea, Jonathan Wilkenfeld:
CARA: A Cultural-Reasoning Architecture. IEEE Intell. Syst. 22(2): 12-16 (2007) - [j2]Diego Reforgiato Recupero:
A new unsupervised method for document clustering by using WordNet lexical and conceptual relations. Inf. Retr. 10(6): 563-579 (2007) - [c6]Farah Benamara, Carmine Cesarano, Antonio Picariello, Diego Reforgiato Recupero, V. S. Subrahmanian:
Sentiment Analysis: Adjectives and Adverbs are Better than Adjectives Alone. ICWSM 2007 - [c5]Carmine Cesarano, Antonio Picariello, Diego Reforgiato Recupero, V. S. Subrahmanian:
The OASYS 2.0 Opinion Analysis System. ICWSM 2007 - 2006
- [c4]Carmine Cesarano, Antonio Picariello, Diego Reforgiato Recupero, A. Sagoff, V. S. Subrahmanian, Bonnie J. Dorr:
Opinion Analysis in Document Databases. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 21-26 - [c3]Octavian Udrea, Diego Reforgiato Recupero, V. S. Subrahmanian:
Annotated RDF. ESWC 2006: 487-501 - 2005
- [j1]Domenico Cantone, Alfredo Ferro, Alfredo Pulvirenti, Diego Reforgiato Recupero, Dennis E. Shasha:
Antipole Tree Indexing to Support Range Search and K-Nearest Neighbor Search in Metric Spaces. IEEE Trans. Knowl. Data Eng. 17(4): 535-550 (2005) - [c2]Rosalba Giugno, Alfredo Pulvirenti, Diego Reforgiato Recupero:
Clustered Trie Structures for Approximate Search in Hierarchical Objects Collections. ICAPR (1) 2005: 63-70 - 2003
- [c1]Sebastiano Battiato, Alfredo Pulvirenti, Diego Reforgiato Recupero:
Antipole Clustering for Fast Texture Synthesis. WSCG 2003
Coauthor Index
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