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 |
|---|---|---|---|---|
| Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting | 2021 | Carta, Salvatore Mario; Ferreira, Anselmo; Podda, Alessandro Sebastian; Diego, Reforgiato; Sanna,... Antonio | EXPERT SYSTEMS WITH APPLICATIONS | |
| A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning | 2021 | Carta, Salvatore Mario; Corriga, Andrea; Ferreira, Anselmo; Podda, Alessandro Sebastian; Diego, R...eforgiato | APPLIED INTELLIGENCE | |
| Technology enhanced learning using humanoid robots | 2021 | Diego, Reforgiato | FUTURE INTERNET | |
| Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain | 2021 | Dessi', Danilo; Osborne, Francesco; Reforgiato Recupero, Diego Angelo Gaetano; Buscaldi, Davide; ...Motta, Enrico | FUTURE GENERATION COMPUTER SYSTEMS | |
| Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification from Clinical Notes | 2021 | Kumar, V.; Reforgiato Recupero, D.; Riboni, D.; Helaoui, R. | IEEE ACCESS | |
| 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 | |
| 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 | |
| A Boundary Node Method for path planning of mobile robots | 2020 | Saeed, Raza Abdulla Saeed; Diego, Reforgiato; Remagnino, Paolo | ROBOTICS AND AUTONOMOUS SYSTEMS | |
| Knowledge acquisition from parsing natural language expressions for humanoid robot action commands | 2020 | Reforgiato Recupero, Diego; Spiga, Federico | INFORMATION PROCESSING & MANAGEMENT | |
| 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 | |
| AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence | 2020 | Dessi', Danilo; Osborne, Francesco; Diego, Reforgiato; Buscaldi, Davide; Motta, Enrico; Sack, Harald | ||
| Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics | 2020 | Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Diego, Reforgiato; Motta, Enrico | ||
| Video action recognition and prediction architecture for a robotic coach | 2020 | Nino, Cauli; Diego, Reforgiato | ||
| Multiagent system for community energy management | 2020 | Roman, Denysiuk; Fabio, Lilliu; Merixtell, Vinyals; Diego, Reforgiato | ||
| Towards detecting need for empathetic response in motivational interviewing | 2020 | Z, Wu; Rim, Helaoui; Vivek, Kumar; Diego, Reforgiato; Daniele, Riboni | ||
| Popularity prediction of instagram posts | 2020 | Carta, S.; Podda, A. S.; Recupero, D. R.; Saia, R.; Usai, G. | INFORMATION | |
| A flexible and scalable social robot architecture employing voice assistant technologies | 2020 | Ruben, Alonso; Emanuele, Concas; Diego, Reforgiato | ||
| The AIDA dashboard: Analysing conferences with semantic technologies | 2020 | Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Diego, Reforgiato; Motta, Enrico | ||
| SmartPHIL: 1st Workshop on Smart Personal Health Interfaces | 2020 | Sergio, Consoli; Diego, Reforgiato; Daniele, Riboni | ||
| Peer-to-peer energy trading for smart energy communities | 2020 | Roman, Denysiuk; Fabio, Lilliu; Diego, REforgiato; Meritxell, Vinyals | ||
| Multi-domain sentiment analysis with mimicked and polarized word embeddings for human-robot interaction | 2020 | Atzeni, Mattia; Reforgiato Recupero, Diego Angelo Gaetano | FUTURE GENERATION COMPUTER SYSTEMS | |
| 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 discretized enriched technique to enhance machine learning performance in credit scoring | 2019 | Saia, R.; Carta, S.; Reforgiato Recupero, D.; Fenu, G.; Saia, M. | SciTePress | |
| A discretized extended feature space (DEFS) model to improve the anomaly detection performance in network intrusion detection systems | 2019 | Saia, R.; Carta, S.; Reforgiato Recupero, D.; Fenu, G.; Stanciu, M. M. | 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | ||
| Data Science for Healthcare. Methodologies and Applications | 2019 | Consoli, Sergio; Reforgiato Recupero, Diego Angelo Gaetano; Petkovic, Milan | Springer | |
| 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 | |
| Internet of entities (IoE): A blockchain-based distributed paradigm for data exchange between wireless-based devices | 2019 | Saia, Roberto; Carta, Salvatore Mario; Recupero, Diego Reforgiato; Fenu, Gianni | SciTePress | |
| Toward supporting food journaling using air quality data mining and a social robot | 2019 | Gerina, F.; Pes, B.; Reforgiato Recupero, D.; Riboni, D. | Springer | |
| 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 | |
| An uncertainty-aware optimization approach for flexible loads of smart grid prosumers: A use case on the Cardiff energy grid | 2019 | Lilliu, Fabio; Loi, Andrea; Diego, Reforgiato; Sisinni, Mario; Vinyals, Merixtell | SUSTAINABLE ENERGY, GRIDS AND NETWORKS | |
| A Flexible and Scalable Architecture for Human-Robot Interaction | 2019 | Reforgiato Recupero, Diego Angelo Gaetano; Dessi', Danilo; Concas, Emanuele | ||
| Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry | 2019 | Angioni, Simone; Osborne, Francesco; Antonio Salatino, Angelo; Reforgiato Recupero, Diego Angelo ...Gaetano; Motta, Enrico | CEUR WS | |
| Parsing Natural Language Sentences into Robot Actions | 2019 | Bardaro, Gianluca; Dessi', Danilo; Motta, Enrico; Osborne, Francesco; Reforgiato Recupero, Diego ...Angelo Gaetano | CEUR-WS | |
| Path Planning of a Mobile Robot in Grid Space using Boundary Node Method | 2019 | Saeed, Raza.; Reforgiato Recupero, Diego Angelo Gaetano | ||
| A supervised multi-class multi-label word embeddings approach for toxic comment classification | 2019 | Carta, S.; Corriga, A.; Mulas, R.; Reforgiato Recupero, D.; Saia, R. | SciTePress | |
| A holistic auto-configurable ensemble machine learning strategy for financial trading | 2019 | Carta, S.; Corriga, A.; Ferreira, A.; Recupero, D. R.; Saia, R. | COMPUTATION | |
| A recommender system of medical reports leveraging cognitive computing and frame semantics | 2019 | Dessì, D.; Reforgiato Recupero, D; Fenu, G; Sergio, Consoli | 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 | |
| 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 | |
| Frame-Based Detection of Figurative Language in Tweets | 2019 | Reforgiato Recupero, Diego Angelo Gaetano; Alam, Mehwish; Buscaldi, Davide; Grezka, Aude; Tavazoe...e, Farideh | IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | |
| 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 |
