Prodotti della ricerca
UNICA IRIS Institutional Research Information System
IRIS è il sistema di gestione integrata dei dati della ricerca (persone, progetti, pubblicazioni, attività) adottato dall'Università degli Studi di Cagliari dal mese di luglio 2015.
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| A combined entropy-based approach for a proactive credit scoring | 2020 | Carta, Salvatore Mario; Castelo Branco Ferreira, Anselmo; Reforgiato Recupero, Diego Angelo Gaeta...no; Saia, M.; Saia, Roberto | ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE | |
| Recognition of cooking activities through air quality sensor data for supporting food journaling | 2020 | Gerina, F.; Massa, S. M.; Moi, F.; Reforgiato Recupero, D.; Riboni, D. | HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES | |
| Deep learning and time series-to-image encoding for financial forecasting | 2020 | Barra, S.; Carta, S. M.; Corriga, A.; Podda, A. S.; Reforgiato Recupero, D. | IEEE/CAA JOURNAL OF AUTOMATICA SINICA | |
| TF-IDF vs word embeddings for morbidity identification in clinical notes: An initial study | 2020 | Dessi, D.; Helaoui, R.; Kumar, V.; Reforgiato Recupero, D.; Riboni, D. | CEUR-WS | |
| Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections | 2019 | DESSI', DANILO; FENU, GIANNI; MARRAS, MIRKO; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | COMPUTERS IN HUMAN BEHAVIOR | |
| Leveraging semantics for sentiment polarity detection in social media | 2019 | Dridi, Amna; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | |
| A recommender system of medical reports leveraging cognitive computing and frame semantics | 2019 | Dessì, D.; Reforgiato Recupero, D; Fenu, G; Sergio, Consoli | Springer | |
| Data Science for Healthcare. Methodologies and Applications | 2019 | Consoli, Sergio; Reforgiato Recupero, Diego Angelo Gaetano; Petkovic, Milan | Springer | |
| Analysis of topic propagation in therapy sessions using Partially Labeled Dirichlet Allocation | 2019 | Chaoua, Ilyas; Consoli, Sergio; Härmä, Aki; Helaoui, Rim; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model | 2019 | Carta, Salvatore; Fenu, Gianni; Reforgiato Recupero, Diego; Saia, Roberto | JOURNAL OF INFORMATION SECURITY AND APPLICATIONS | |
| Data Science in Healthcare: Benefits, Challenges and Opportunities | 2019 | Abedjan, Ziawasch; Boujemaa, Nozha; Campbell, Stuart; Casla, Patricia; Chatterjea, Supriyo; Conso...li, Sergio; Costa Soria, Cristóbal; Czech, Paul; Despenic, Marija; Garattini, Chiara; Hamelinck, Dirk; Heinrich, Adrienne; Kraaij, Wessel; Kustra, Jacek; Lojo, Aizea; Martin Sanchez, Marga; Angel Mayer, Miguel; Melideo, Matteo; Menasalvas, Ernestina; Moller Aarestrup, Frank; Narro Artigot, Elvira; Petkovic, Milan; Reforgiato Recupero, Diego Angelo Gaetano; Rodríguez González, Alejandro; Roesems Kerremans, Gisele; Roller, Roland; Romão, Mário; Rüping, Stefan; Sasaki, Felix; Spek, Wouter; Stojanovic, Nenad; Thoms, Jack; Vasiljevs, Andrejs; Verachtert, Wilfried; Wuyts, Roel | Springer | |
| Toward supporting food journaling using air quality data mining and a social robot | 2019 | Gerina, F.; Pes, B.; Reforgiato Recupero, D.; Riboni, D. | Springer | |
| Internet of entities (IoE): A blockchain-based distributed paradigm for data exchange between wireless-based devices | 2019 | Saia, Roberto; Carta, Salvatore; Recupero, Diego Reforgiato; Fenu, Gianni | SciTePress | |
| Mining scholarly data for fine-grained knowledge graph construction | 2019 | BUSCALDI, DAVIDE; DESSI', DANILO; Motta, Enrico; Osborne, Francesco; REFORGIATO RECUPERO, DIEGO A...NGELO GAETANO | CEUR-WS | |
| Knowledge acquisition from parsing natural language expressions for humanoid robot action commands | 2019 | Reforgiato Recupero, Diego; Spiga, Federico | INFORMATION PROCESSING & MANAGEMENT | |
| FineNews: fine-grained semantic sentiment analysis on financial microblogs and news | 2019 | DRIDI, AMNA; Atzeni, Mattia; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS | |
| Mining Scholarly Publications for Scientific Knowledge Graph Construction | 2019 | BUSCALDI, DAVIDE; DESSI', DANILO; Motta, Enrico; Osborne, Francesco; REFORGIATO RECUPERO, DIEGO A...NGELO GAETANO | ||
| Workshop on Deep Learning for Knowledge Graphs | 2019 | Alam, Mehwish; BUSCALDI, DAVIDE; Cochez, Michael; Osborne, Francesco; REFORGIATO RECUPERO, DIEGO ...ANGELO GAETANO; Sack, Harald | CEUR | |
| Evaluating neural word embeddings created from online course reviews for sentiment analysis | 2019 | DESSI', DANILO; Dragoni, Mauro; FENU, GIANNI; MARRAS, MIRKO; REFORGIATO RECUPERO, DIEGO ANGELO GA...ETANO | Association for Computing Machinery | |
| MARIO Project: experimentation in the hospital setting | 2019 | D'onofrio Grazia, .; Daniele, Sancarlo; Massimiliano, Raciti; REFORGIATO RECUPERO, DIEGO ANGELO G...AETANO; Antonio, Mangiacotti; Alessandro, Russo; Francesco, Ricciardi; Alessandra, Vitanza; Filippo, Cantucci; Valentina, Presutti; Thomas, Messervey; Stefano, Nolfi; Filippo, Cavallo; Eva, Barrett; Sally, Whelan; Dympna, Casey; Keith, Murphy; Francesco, Giuliani; Antonio, Greco | Springer Verlag | |
| A novel payment scheme for trading renewable energy in smart grid | 2019 | Lilliu, Fabio; Vinyals, Meritxell; Denysiuk, Roman; Reforgiato Recupero, Diego Angelo Gaetano | Association for Computing Machinery | |
| Ontology-Based Knowledge Management for Comprehensive Geriatric Assessment and Reminiscence Therapy on Social Robots | 2019 | Asprino, Luigi; Gangemi, Aldo; Giovanni Nuzzolese, Andrea; Presutti, Valentina; Reforgiato Recupe...ro, Diego Angelo Gaetano; Russo, Alessandro | Springer | |
| Forecasting E-commerce products prices by combining an autoregressive integrated moving average (ARIMA) model and Google Trends data | 2019 | Carta, Salvatore; Medda, Andrea; Pili, Alessio; Recupero, Diego Reforgiato; Saia, Roberto | FUTURE INTERNET | |
| NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system | 2018 | Armano, Giuliano; Battiato, Sebastiano; Bennato, Davide; Boratto, Ludovico; Carta, Salvatore M.; ...Di Noia, Tommaso; Di Sciascio, Eugenio; Ortis, Alessandro; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| Detecting and tracking ongoing topics in psychotherapeutic conversations | 2018 | Chaoua, Lyas; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Consoli, Sergio; Harma, Aki; Helaoui, Rim | ||
| Sentic Computing, Sentiment Analysis, Opinion Mining, and Emotion Detection | 2018 | REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Dragoni, Mauro; Buscaldi, Davide; Alam, Mehwish; Cambr...ia, Erik | CEUR | |
| Deep learning and sentiment analysis for human-robot interaction | 2018 | Atzeni, Matia; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| SuperNoder: a tool to discover over-represented modular structures in networks | 2018 | Dessi', Danilo; Cirrone, Jacopo; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Shasha, Dennis E. | BMC BIOINFORMATICS | |
| Proceedings of EMSASW2018 - 4th Workshop on Sentic Computing, Sentiment Analysis, Opinion Mining, and Emotion Detection Co-located with ESWC 2018 15th European Semantic Web Conference Heraklion, Crete, Greece 4th June 2018 | 2018 | REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Dragoni, Mauro; Buscaldi, Davide; Alam, Mehwish; Cambr...ia, Erik | CEUR | |
| Leveraging cognitive computing for gender and emotion detection | 2018 | Corriga, Andrea; Cusimano, Simone; Malloci, FRANCESCA MARIDINA; Marchesi, Lodovica; REFORGIATO RE...CUPERO, DIEGO ANGELO GAETANO | ||
| Using frame-based resources for sentiment analysis within the financial domain | 2018 | Atzeni, Mattia; Dridi, Amna; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | PROGRESS IN ARTIFICIAL INTELLIGENCE | |
| A probabilistic-driven ensemble approach to perform event classification in intrusion detection system | 2018 | Saia, Roberto; Carta, Salvatore; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| Semantic Web Challenges - 5th SemWebEval Challenge at ESWC 2018 | 2018 | Buscaldi, Davide; Gangemi, Aldo; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | Springer | |
| Fine-Tuning of Word Embeddings for Semantic Sentiment Analysis | 2018 | Mattia, Atzeni; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | Springer | |
| COCO: Semantic-enriched collection of online courses at scale with experimental use cases | 2018 | Dessi', Danilo; Fenu, Gianni; Marras, Mirko; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| Supervised Topic-Based Message Polarity Classification using Cognitive Computing | 2018 | Ibba, Federico; Ferru, Stefano; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| Language independent sentiment analysis of the Shukran social network using apache spark | 2017 | Iguider, W.; Reforgiato, Recupero | Springer | |
| Semantic sentiment analysis challenge at ESWC2017 | 2017 | Reforgiato, Recupero; D., Cambria; Di, Rosa | Springer | |
| Fine-grained sentiment analysis on financial microblogs and news headlines | 2017 | Atzeni, M.; Dridi, A.; Reforgiato, Recupero | Springer | |
| Leveraging the Arduino platform to develop information technology devices | 2017 | REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Valentino, Artizzu; Francesca, Cella; Alessandro, Cotz...a; Davide, Curcio; Giorgio Amedeo, Iengo; Riccardo, Macis; Andrea, Marras; Simone, Picci; Michael, Planu; Riccardo, Scasseddu | IGI Global | |
| AMR2FRED, a tool for translating AMR to Motif-based Linguistic Knowledge Graphs | 2017 | Meloni, Antonello; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Aldo, Gangemi | ||
| Semantic web machine reading with FRED | 2017 | Aldo, Gangemi; Valentina, Presutti; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Andrea, Giovanni N...uzzolese; Francesco, Draicchio; Misael, Mongiovi’ | SEMANTIC WEB | |
| Interacting with dementia: the MARIO approach | 2017 | Kouroupetroglou, Christos; Casey, Dympna; Raciti, Massimiliano; Barrett, Eva; D'Onofrio, Grazia; ...Ricciardi, Francesco; Giuliani, Francesco; Greco, Antonio; Sancarlo, Daniele; Mannion, Arlene; Whelan, Sally; Pegman, Geoff; Koumpis, Adamantios; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Kouroupetroglou, Angelos; Santorelli, Adam | ||
| Producing Linked Data for Smart Cities: The Case of Catania | 2017 | Consoli, Sergio; Presutti, Valentina; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Giovanni Nuzzole...se, Andrea; Peroni, Silvio; Mongiovì, Misael; Gangemi, Aldo | BIG DATA RESEARCH | |
| MORE SENSE: MOvie REviews SENtiment analysis boosted with Semantics | 2017 | Dridi, Amna; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| Frame semantic parsing using Framester knowledge graphs | 2017 | REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Alam, Mehwish; Gangemi, Aldo; Presutti, Valentina | ||
| An approach for discovering and exploring semantic relationships between genes | 2017 | Dessi, Nicoletta; Pani, Matteo; Pes, Barbara; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | CEUR-WS | |
| Bearish-bullish sentiment analysis on financial microblogs | 2017 | Dridi, Amna; Atzeni, Mattia; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | CEUR-WS | |
| Leveraging cognitive computing for multi-class classification of e-learning videos | 2017 | Dessi', Danilo; Fenu, Gianni; Marras, Mirko; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO | ||
| Event-based knowledge reconciliation using frame embeddings and frame similarity | 2017 | Alam, Mehwish; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Mongiovì, Misael; Gangemi, Aldo; Ristos...ki, Petar | KNOWLEDGE-BASED SYSTEMS |
