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About Me
Diego Reforgiato Recupero has been an Associate Professor at the Department of Mathematics and Computer Science of the University of Cagliari, Italy since December 2015, where he is director and creator of the Human-Robot-Interaction Laboratory (http://hri.unica.it), co-director and creator of the Artificial Intelligence and Big Data Laboratory (http://aibd.unica.it), quality responsible for the department and member of the Commission for start-up and spin-off of the University. There he teaches Computers Architecture for the bachelor degree in Computer Science, Big Data for the master degree in Computer Science and Web Design and Digital Storytelling for the Master degree in Philosophy and Theories of Communication.
His full cv can be looked at https://people.unica.it/diegoreforgiato/curriculum/
Here his Scopus page
Publications (167)
| Document title | Author | Years | Source |
|---|---|---|---|
| The boundary node method for multi-robot multi-goal path planning problems | Saeed R.A., Reforgiato Recupero D., Remagnino P., | 2021 | Expert Systems |
| Semantic role labeling for knowledge graph extraction from text | Alam M., Gangemi A., Presutti V., Reforgiato Recupero D., | 2021 | Progress in Artificial Intelligence |
| Simulating People Dynamics | Saeed R.A., Recupero D.R., Remagnino P., | 2021 | 2021 17th International Conference on Intelligent Environments, IE 2021 - Proceedings |
| An assessment of deep learning models and word embeddings for toxicity detection within online textual comments | Dessì D., Recupero D.R., Sack H., | 2021 | Electronics (Switzerland) |
| Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain | Dessì D., Osborne F., Reforgiato Recupero D., Buscaldi D., Motta E., | 2021 | Future Generation Computer Systems |
| Technology enhanced learning using humanoid robots | Recupero D.R., | 2021 | Future Internet |
| A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning | Carta S., Corriga A., Ferreira A., Podda A.S., Recupero D.R., | 2021 | Applied Intelligence |
| Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting | Carta S., Ferreira A., Podda A.S., Reforgiato Recupero D., Sanna A., | 2021 | Expert Systems with Applications |
| Link Prediction of Weighted Triples for Knowledge Graph Completion within the Scholarly Domain | Nayyeri M., Cil G.M., Vahdati S., Osborne F., Kravchenko A., Angioni S., Salatino A., Recupero D.R., Motta E., Lehmann J., | 2021 | IEEE Access |
| Preface | Buscaldi D., Dessì D., Dragoni M., Recupero D.R., Sack H., | 2021 | CEUR Workshop Proceedings |
| Trans4E: Link prediction on scholarly knowledge graphs | Nayyeri M., Cil G.M., Vahdati S., Osborne F., Rahman M., Angioni S., Salatino A., Recupero D.R., Vassilyeva N., Motta E., Lehmann J., | 2021 | Neurocomputing |
| Event Detection in Finance Using Hierarchical Clustering Algorithms on News and Tweets | Carta S., Consoli S., Piras L., Podda A.S., Recupero D.R., | 2021 | PeerJ Computer Science |
| Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space | Carta S., Ferreira A., Reforgiato Recupero D., Saia R., | 2021 | Progress in Artificial Intelligence |
| A Game-Theoretical Incentive Mechanism for Local Energy Communities | Lilliu F., Denysiuk R., Reforgiato Recupero D., Vinyals M., | 2021 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Intelligent Local Energy Communities: A Multiagent System Approach | Denysiuk R., Lilliu F., Vinyals M., Reforgiato Recupero D., | 2021 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage | Carta S.M., Consoli S., Podda A.S., Recupero D.R., Stanciu M.M., | 2021 | IEEE Access |
| Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting | Carta S.M., Consoli S., Piras L., Podda A.S., Recupero D.R., | 2021 | IEEE Access |
| Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification from Clinical Notes | Kumar V., Recupero D.R., Riboni D., Helaoui R., | 2021 | IEEE Access |
| Recognition of cooking activities through air quality sensor data for supporting food journaling | Gerina F., Massa S.M., Moi F., Reforgiato Recupero D., Riboni D., | 2020 | Human-centric Computing and Information Sciences |
| HawkEye: A visual framework for agile cross-validation of deep learning approaches in financial forecasting | Carta S., Consoli S., Corriga A., Dapiaggi R., Podda A.S., Reforgiato Recupero D., | 2020 | ACM International Conference Proceeding Series |
| Knowledge acquisition from parsing natural language expressions for humanoid robot action commands | Reforgiato Recupero D., Spiga F., | 2020 | Information Processing and Management |
| Towards detecting need for empathetic response in motivational interviewing | Wu Z., Helaoui R., Kumar V., Reforgiato Recupero D., Riboni D., | 2020 | ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction |
| A local feature engineering strategy to improve network anomaly detection | Carta S., Podda A.S., Recupero D.R., Saia R., | 2020 | Future Internet |
| Popularity prediction of instagram posts | Carta S., Podda A.S., Recupero D.R., Saia R., Usai G., | 2020 | Information (Switzerland) |
| Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction | Atzeni M., Reforgiato Recupero D., | 2020 | Future Generation Computer Systems |
| Deep learning and time series-To-image encoding for financial forecasting | Barra S., Carta S.M., Corriga A., Podda A.S., Recupero D.R., | 2020 | IEEE/CAA Journal of Automatica Sinica |
| SmartPHIL: 1st workshop on smart personal health interfaces | Consoli S., Recupero D.R., Riboni D., | 2020 | International Conference on Intelligent User Interfaces, Proceedings IUI |
| Automated tag enrichment by semantically related trends | Arca A., Carta S., Giuliani A., Stanciu M.M., Recupero D.R., | 2020 | WEBIST 2020 - Proceedings of the 16th International Conference on Web Information Systems and Technologies |
| Efficient thumbnail identification through object recognition | Carta S., Gaeta E., Giuliani A., Piano L., Recupero D.R., | 2020 | WEBIST 2020 - Proceedings of the 16th International Conference on Web Information Systems and Technologies |
| A feature space transformation to intrusion detection systems | Saia R., Carta S., Recupero D.R., Fenu G., | 2020 | IC3K 2020 - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance | Carta S., Fenu G., Ferreira A., Reforgiato Recupero D., Saia R., | 2020 | Communications in Computer and Information Science |
| Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast | Carta S., Consoli S., Piras L., Podda A.S., Reforgiato Recupero D., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage | Carta S., Recupero D.R., Saia R., Stanciu M.M., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence | Dessì D., Osborne F., Reforgiato Recupero D., Buscaldi D., Motta E., Sack H., | 2020 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| The AIDA dashboard: Analysing conferences with semantic technologies | Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., | 2020 | CEUR Workshop Proceedings |
| A flexible and scalable social robot architecture employing voice assistant technologies | Alonso R., Concas E., Recupero D.R., | 2020 | CEUR Workshop Proceedings |
| Preface | Alam M., Buscaldi D., Cochez M., Osborne F., Recupero D.R., Sack H., | 2020 | CEUR Workshop Proceedings |
| Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics | Angioni S., Salatino A.A., Osborne F., Recupero D.R., Motta E., | 2020 | Communications in Computer and Information Science |
| Video action recognition and prediction architecture for a robotic coach | Cauli N., Recupero D.R., | 2020 | CEUR Workshop Proceedings |
| TF-IDF vs word embeddings for morbidity identification in clinical notes: An initial study | Dessì D., Helaoui R., Kumar V., Recupero D.R., Riboni D., | 2020 | CEUR Workshop Proceedings |
| Peer-to-peer energy trading for smart energy communities | Denysiuk R., Lilliu F., Recupero D.R., Vinyals M., | 2020 | ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence |
| Multiagent system for community energy management | Denysiuk R., Lilliu F., Vinyals M., Recupero D.R., | 2020 | ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence |
| A Boundary Node Method for path planning of mobile robots | Saeed R., Recupero D., Remagnino P., | 2020 | Robotics and Autonomous Systems |
| A combined entropy-based approach for a proactive credit scoring | Carta S., Ferreira A., Reforgiato Recupero D., Saia M., Saia R., | 2020 | Engineering Applications of Artificial Intelligence |
| An uncertainty-aware optimization approach for flexible loads of smart grid prosumers: A use case on the Cardiff energy grid | Lilliu F., Loi A., Reforgiato Recupero D., Sisinni M., Vinyals M., | 2019 | Sustainable Energy, Grids and Networks |
| Frame-Based Detection of Figurative Language in Tweets [Application Notes] | Reforgiato Recupero D., Alam M., Buscaldi D., Grezka A., Tavazoee F., | 2019 | IEEE Computational Intelligence Magazine |
| FineNews: fine-grained semantic sentiment analysis on financial microblogs and news | Dridi A., Atzeni M., Reforgiato Recupero D., | 2019 | International Journal of Machine Learning and Cybernetics |
| Leveraging semantics for sentiment polarity detection in social media | Dridi A., Reforgiato Recupero D., | 2019 | International Journal of Machine Learning and Cybernetics |
| A novel payment scheme for trading renewable energy in smart grid | Lilliu F., Vinyals M., Denysiuk R., Recupero D.R., | 2019 | e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems |
| Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model | Carta S., Fenu G., Reforgiato Recupero D., Saia R., | 2019 | Journal of Information Security and Applications |
| Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections | Dessì D., Fenu G., Marras M., Reforgiato Recupero D., | 2019 | Computers in Human Behavior |
| Preface | Consoli S., Recupero D.R., Petković M., | 2019 | Data Science for Healthcare: Methodologies and Applications |
| A holistic auto-configurable ensemble machine learning strategy for financial trading | Carta S., Corriga A., Ferreira A., Recupero D.R., Saia R., | 2019 | Computation |
| A flexible and scalable architecture for human-robot interaction | Reforgiato Recupero D., Dessì D., Concas E., | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Toward supporting food journaling using air quality data mining and a social robot | Gerina F., Pes B., Reforgiato Recupero D., Riboni D., | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Mining Scholarly Publications for Scientific Knowledge Graph Construction | Buscaldi D., Dessì D., Motta E., Osborne F., Reforgiato Recupero D., | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| A discretized enriched technique to enhance machine learning performance in credit scoring | Saia R., Carta S., Recupero D.R., Fenu G., Saia M., | 2019 | IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| A discretized extended feature space (DEFS) model to improve the anomaly detection performance in network intrusion detection systems | Saia R., Carta S., Recupero D.R., Fenu G., Stanciu M.M., | 2019 | IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| A supervised multi-class multi-label word embeddings approach for toxic comment classification | Carta S., Corriga A., Mulas R., Recupero D.R., Saia R., | 2019 | IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| Integrating knowledge graphs for comparing the scientific output of academia and industry | Angioni S., Osborne F., Salatino A., Recupero D., Motta E., | 2019 | CEUR Workshop Proceedings |
| Parsing natural language sentences into robot actions | Bardaro G., Dessí D., Motta E., Osborne F., Recupero D.R., | 2019 | CEUR Workshop Proceedings |
| Path planning of a mobile robot in grid space using boundary node method | Saeed R.A., Recupero D.R., | 2019 | ICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics |
| Mining scholarly data for fine-grained knowledge graph construction | Buscaldi D., Dessì D., Motta E., Osborne F., Recupero D.R., | 2019 | CEUR Workshop Proceedings |
| Evaluating neural word embeddings created from online course reviews for sentiment analysis | Dessì D., Dragoni M., Fenu G., Marras M., Recupero D.R., | 2019 | Proceedings of the ACM Symposium on Applied Computing |
| Data science in healthcare: Benefits, challenges and opportunities | Abedjan Z., Boujemaa N., Campbell S., Casla P., Chatterjea S., Consoli S., Costa-Soria C., Czech P., Despenic M., Garattini C., Hamelinck D., Heinrich A., Kraaij W., Kustra J., Lojo A., Sanchez M.M., Mayer M.A., Melideo M., Menasalvas E., Aarestrup F.M., Artigot E.N., Petković M., Recupero D.R., Gonzalez A.R., Kerremans G.R., Roller R., Romao M., Ruping S., Sasaki F., Spek W., Stojanovic N., Thoms J., Vasiljevs A., Verachtert W., Wuyts R., | 2019 | Data Science for Healthcare: Methodologies and Applications |
| Data science for healthcare: Methodologies and applications | Consoli S., Recupero D.R., Petković M., | 2019 | Data Science for Healthcare: Methodologies and Applications |
| Ontology-based knowledge management for comprehensive geriatric assessment and reminiscence therapy on social robots | Asprino L., Gangemi A., Nuzzolese A.G., Presutti V., Recupero D.R., Russo A., | 2019 | Data Science for Healthcare: Methodologies and Applications |
| Internet of entities (IoE): A blockchain-based distributed paradigm for data exchange between wireless-based devices | Saia R., Carta S., Recupero D.R., Fenu G., | 2019 | SENSORNETS 2019 - Proceedings of the 8th International Conference on Sensor Networks |
| Analysis of topic propagation in therapy sessions using partially labeled latent dirichlet allocation | Chaoua I., Consoli S., Härmä A., Helaoui R., Reforgiato Recupero D., | 2019 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| MARIO Project: Experimentation in the Hospital Setting | D’Onofrio G., Sancarlo D., Raciti M., Reforgiato D., Mangiacotti A., Russo A., Ricciardi F., Vitanza A., Cantucci F., Presutti V., Messervey T., Nolfi S., Cavallo F., Barret E., Whelan S., Casey D., Giuliani F., Greco A., | 2019 | Lecture Notes in Electrical Engineering |
| A recommender system of medical reports leveraging cognitive computing and frame semantics | Dessì D., Reforgiato Recupero D., Fenu G., Consoli S., | 2019 | Intelligent Systems Reference Library |
| Forecasting E-commerce products prices by combining an autoregressive integrated moving average (ARIMA) model and Google Trends data | Carta S., Medda A., Pili A., Recupero D.R., Saia R., | 2018 | Future Internet |
| Using frame-based resources for sentiment analysis within the financial domain | Atzeni M., Dridi A., Reforgiato Recupero D., | 2018 | Progress in Artificial Intelligence |
| SuperNoder: a tool to discover over-represented modular structures in networks | Dessì D., Cirrone J., Recupero D.R., Shasha D., | 2018 | BMC bioinformatics |
| A probabilistic-driven ensemble approach to perform event classification in intrusion detection system | Saia R., Carta S., Recupero D.R., | 2018 | IC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management |
| Fine-Tuning of Word Embeddings for Semantic Sentiment Analysis | Atzeni M., Reforgiato Recupero D., | 2018 | Communications in Computer and Information Science |
| Preface | Buscaldi D., Gangemi A., Recupero D., | 2018 | Communications in Computer and Information Science |
| NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system | Armano G., Battiato S., Bennato D., Boratto L., Carta S., Noia T., Sciascio E., Ortis A., Recupero D., | 2018 | CEUR Workshop Proceedings |
| Deep learning and sentiment analysis for human-robot interaction | Atzeni M., Reforgiato Recupero D., | 2018 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Detecting and tracking ongoing topics in psychotherapeutic conversations | Chaoua I., Recupero D., Consoli S., Härmä A., Helaoui R., | 2018 | CEUR Workshop Proceedings |
| Supervised topic-based message polarity classification using cognitive computing | Ferru D.S., Ibba F., Recupero D.R., | 2018 | CEUR Workshop Proceedings |
| Leveraging cognitive computing for gender and emotion detection | Corriga A., Cusimano S., Malloci F., Marchesi L., Recupero D., | 2018 | CEUR Workshop Proceedings |
| COCO: Semantic-enriched collection of online courses at scale with experimental use cases | Dessì D., Fenu G., Marras M., Reforgiato Recupero D., | 2018 | Advances in Intelligent Systems and Computing |
| Event-based knowledge reconciliation using frame embeddings and frame similarity | Alam M., Reforgiato Recupero D., Mongiovi M., Gangemi A., Ristoski P., | 2017 | Knowledge-Based Systems |
| Producing Linked Data for Smart Cities: The Case of Catania | Consoli S., Presutti V., Reforgiato Recupero D., Nuzzolese A.G., Peroni S., Mongiovi' M., Gangemi A., | 2017 | Big Data Research |
| Reconciling event-based knowledge through RDF2Vec | Alam M., Recupero D., Mongiovi M., Gangemi A., Ristoski P., | 2017 | CEUR Workshop Proceedings |
| Fine-grained sentiment analysis on financial microblogs and news headlines | Atzeni M., Dridi A., Reforgiato Recupero D., | 2017 | Communications in Computer and Information Science |
| Semantic sentiment analysis challenge at ESWC2017 | Reforgiato Recupero D., Cambria E., Di Rosa E., | 2017 | Communications in Computer and Information Science |
| AMR2FRED, A Tool for Translating Abstract Meaning Representation to Motif-Based Linguistic Knowledge Graphs | Meloni A., Reforgiato Recupero D., Gangemi A., | 2017 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos | Dessì D., Fenu G., Marras M., Reforgiato Recupero D., | 2017 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Language independent sentiment analysis of the Shukran social network using apache spark | Iguider W., Reforgiato Recupero D., | 2017 | Communications in Computer and Information Science |
| Frame embeddings for event-based knowledge reconciliation | Alam M., Recupero D.R., Mongiovi M., Gangemi A., Ristoski P., | 2017 | CEUR Workshop Proceedings |
| Frame semantic parsing using Framester knowledge graphs | Recupero D., Alam M., Gangemi A., Presutti V., | 2017 | CEUR Workshop Proceedings |
| Exploiting cognitive computing and frame semantic features for biomedical document clustering | Dessì D., Recupero D., Fenu G., Consoli S., | 2017 | CEUR Workshop Proceedings |
| An approach for discovering and exploring semantic relationships between genes | Dessì N., Pani M., Pes B., Recupero D., | 2017 | CEUR Workshop Proceedings |
| Autonomous comprehensive geriatric assessment | Asprino L., Gangemi A., Nuzzolese A., Presutti V., Recupero D., Russo A., | 2017 | CEUR Workshop Proceedings |
| Interacting with Dementia: The MARIO Approach | Kouroupetroglou C., Casey D., Raciti M., Barrett E., D'Onofrio G., Ricciardi F., Giuliani F., Greco A., Sancarlo D., Mannion A., Whelan S., Pegman G., Koumpis A., Reforgiato Recupero D., Kouroupetroglou A., Santorelli A., | 2017 | Studies in Health Technology and Informatics |
| Bearish-bullish sentiment analysis on financial microblogs | Dridi A., Atzeni M., Recupero D., | 2017 | CEUR Workshop Proceedings |
| MORE SENSE: MOvie REviews SENtiment analysis boosted with SEmantics | Dridi A., Recupero D.R., | 2017 | CEUR Workshop Proceedings |
| Semantic Web Machine Reading with FRED | Gangemi A., Presutti V., Reforgiato Recupero D., Nuzzolese A., Draicchio F., Mongiovì M., | 2017 | Semantic Web |
| Identifying motifs for evaluating open knowledge extraction on the Web | Gangemi A., Recupero D.R., Mongiovì M., Nuzzolese A.G., Presutti V., | 2016 | Knowledge-Based Systems |
| Merging open knowledge extracted from text with MERGILO | Mongiovì M., Recupero D.R., Gangemi A., Presutti V., Consoli S., | 2016 | Knowledge-Based Systems |
| Increasing open government data transparency with spatial dimension | Dessi N., Garau G., Recupero D.R., Pes B., | 2016 | Proceedings - 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2016 |
| An Innovative, Open, Interoperable Citizen Engagement Cloud Platform for Smart Government and Users’ Interaction | Reforgiato Recupero D., Castronovo M., Consoli S., Costanzo T., Gangemi A., Grasso L., Lodi G., Merendino G., Mongiovì M., Presutti V., Rapisarda S.D., Rosa S., Spampinato E., | 2016 | Journal of the Knowledge Economy |
| Framester: A wide coverage linguistic linked data hub | Gangemi A., Alam M., Asprino L., Presutti V., Recupero D., | 2016 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| ACM: Article content miner for assessing the quality of scientific output | Nuzzolese A., Peroni S., Reforgiato Recupero D., | 2016 | Communications in Computer and Information Science |
| Challenge on fine-grained sentiment analysis within ESWC2016 | Dragoni M., Reforgiato Recupero D., | 2016 | Communications in Computer and Information Science |
| Towards interval version of fuzzy synsets | Hossayni S.A., Rajati M.R., Del Acebo E., Recupero D.R., Gangemi A., Akbarzadeht M.R., De La Rosa Esteva J.L., | 2016 | Frontiers in Artificial Intelligence and Applications |
| Adjective semantics in open knowledge extraction | Gangemi A., Nuzzolese A.G., Presutti V., Reforgiato Recupero D., | 2016 | Frontiers in Artificial Intelligence and Applications |
| Fuzzy synsets, and lexicon-based sentiment analysis | Hossayni S.A., Akbarzadeh-T M.R., Recupero D.R., Gangemi A., De La Rosa I Esteva J.L., | 2016 | CEUR Workshop Proceedings |
| From hyperlinks to Semantic Web properties using Open Knowledge Extraction | Presutti V., Nuzzolese A.G., Consoli S., Gangemi A., Recupero D.R., | 2016 | Semantic Web |
| Semantic reconciliation of knowledge extracted from text through a novel machine reader | Mongiovì M., Recupero D., Gangemi A., Presutti V., Nuzzolese A., Consoli S., | 2015 | Proceedings of the 8th International Conference on Knowledge Capture, K-CAP 2015 |
| An urban fault reporting and management platform for smart cities | Consoli S., Presutti V., Recupero D., Cataldi G., Mongiovì M., Patatu W., | 2015 | WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web |
| Extracting knowledge from text using SHELDON, a semantic holistic framEwork for LinkeD ONtology data | Recupero D., Nuzzolese A., Consoli S., Presutti V., Peroni S., Mongiovì M., | 2015 | WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web |
| A smart city data model based on semantics best practice and principles | Consoli S., Mongiovì M., Nuzzolese A., Peroni S., Presutti V., Recupero D., Spampinato D., | 2015 | WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web |
| Conference live: Accessible and sociable conference semantic data | Gentile A.L., Acosta M., Costabello L., Nuzzolese A.G., Presutti V., Recupero D.R., | 2015 | WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web |
| Sentilo: Frame-Based Sentiment Analysis | Reforgiato Recupero D., Presutti V., Consoli S., Gangemi A., Nuzzolese A., | 2015 | Cognitive Computation |
| ESWC 15 challenge on concept-level sentiment analysis | Recupero D., Dragoni M., Presutti V., | 2015 | Communications in Computer and Information Science |
| MACJa: Metadata and citations jailbreaker | Nuzzolese A., Peroni S., Recupero D., | 2015 | Communications in Computer and Information Science |
| Using FRED for named entity resolution, linking and typing for knowledge base population | Consoli S., Recupero D., | 2015 | Communications in Computer and Information Science |
| Smart Grid Futures: Perspectives on the Integration of Energy and ICT Services | Mourshed M., Robert S., Ranalli A., Messervey T., Reforgiato D., Contreau R., Becue A., Quinn K., Rezgui Y., Lennard Z., | 2015 | Energy Procedia |
| Engaging users in tracking their water usage behavior | Kouroupetroglou C., Piso M., Derguech W., Curry E., Mink J., Recupero D.R., Raciti M., Van Slooten J., Coakley D., | 2015 | Procedia Engineering |
| SHELDON: Semantic holistic framework for linked ontology data | Recupero D.R., Nuzzolese A.G., Consoli S., Gangemi A., Presutti V., | 2015 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Legalo: Revealing the semantics of links | Consoli S., Nuzzolese A., Presutti V., Recupero D., Gangemi A., | 2015 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Frame-based detection of opinion holders and topics: A model and a tool | Gangemi A., Presutti V., Reforgiato Recupero D., | 2014 | IEEE Computational Intelligence Magazine |
| FRED as an event extraction tool | Gangemi A., Hassan E., Presutti V., Recupero D., | 2014 | CEUR Workshop Proceedings |
| Semantic web-based sentiment analysis | Recupero D.R., Consoli S., Gangemi A., Nuzzolese A.G., Presutti V., Spampinato D., | 2014 | CEUR Workshop Proceedings |
| Towards emergency vehicle routing using Geolinked Open Data: The case study of the Municipality of Catania | Consoli S., Gangemi A., Nuzzolese A., Peroni S., Presutti V., Recupero D., Spampinato D., | 2014 | CEUR Workshop Proceedings |
| Preface | Gangemi A., Alani H., Nissim M., Cambria E., Recupero D.R., | 2014 | CEUR Workshop Proceedings |
| Uncovering the semantics of Wikipedia pagelinks | Presutti V., Consoli S., Nuzzolese A.G., Recupero D.R., Gangemi A., Bannour I., Zargayouna H., | 2014 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| A semantic web based core engine to efficiently perform sentiment analysis | Recupero D., Consoli S., Gangemi A., Nuzzolese A., Spampinato D., | 2014 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Setting the course of emergency vehicle routing using Geolinked open data for the municipality of catania | Consoli S., Gangemi A., Nuzzolese A.G., Peroni S., Recupero D.R., Spampinato D., | 2014 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| ESWC’14 challenge on Concept-Level Sentiment Analysis | Reforgiato Recupero D., Cambria E., | 2014 | Communications in Computer and Information Science |
| Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC 2014 Anissaras, Crete, Greece, May 25–29, 2014 Revised Selected Papers | Presutti V., Stankovic M., Cambria E., Cantador I., Di Iorio A., Di Noia T., Lange C., Reforgiato Recupero D., | 2014 | Communications in Computer and Information Science |
| Geolinked open data for the municipality of Catania | Consoli S., Gangemi A., Nuzzolese A., Peroni S., Presutti V., Recupero D., Spampinato D., | 2014 | ACM International Conference Proceeding Series |
| A survey on tidal analysis and forecasting methods for Tsunami detection | Consoli S., Recupero D., Zavarella V., | 2014 | Science of Tsunami Hazards |
| A northbound interface for power management in next generation network devices | Bolla R., Bruschi R., Davoli F., Donadio P., Fialho L., Collier M., Lombardo A., Reforgiato D., Riccobene V., Szemethy T., | 2014 | IEEE Communications Magazine |
| Exposing energy-aware capabilities in next generation network devices | Bolla R., Bruschi R., Davoli F., Donadio P., Fialho L., Collier M., Lombardo A., Reforgiato D., Riccobene V., Szemethy T., | 2013 | 2013 IEEE International Conference on Communications Workshops, ICC 2013 |
| The green abstraction layer: A standard power-management interface for next-generation network devices | Bolla R., Bruschi R., Davoli F., Di Gregorio L., Donadio P., Fialho L., Collier M., Lombardo A., Reforgiato Recupero D., Szemethy T., | 2013 | IEEE Internet Computing |
| A comprehensive platform to manage peer churn and bandwidth fluctuations in real-time multimedia P2P networks | Incarbone G., Lombardo A., Reforgiato D., Schembra G., | 2013 | Multimedia Tools and Applications |
| Toward a green internet | Recupero D.R., | 2013 | Science |
| A machine rèader for the semantic web | Gangemi A., Draicchio F., Presutti V., Nuzzolese A., Reforgiato D., | 2013 | CEUR Workshop Proceedings |
| Design of a temperature-constrained governor to save energy in an open multi-frequency green router | Lombardo A., Reforgiato D., Riccobene V., Schembra G., | 2013 | International Journal of Business Data Communications and Networking |
| Toward a green Internet (Science (1533)) | Reforgiato Recupero D., | 2013 | Science |
| Modeling temperature and dissipation behavior of an open multi-frequency green router | Lombardo A., Reforgiato D., Riccobene V., Schembra G., | 2012 | 2012 IEEE Online Conference on Green Communications, GreenCom 2012 |
| Measuring and modeling energy consumption to design a green NetFPGA giga-router | Lombardo A., Panarello C., Reforgiato D., Schembra G., | 2012 | GLOBECOM - IEEE Global Telecommunications Conference |
| A Markov model to control heat dissipation in open multi-frequency green routers | Lombardo A., Reforgiato D., Riccobene V., Schembra G., | 2012 | 2012 Sustainable Internet and ICT for Sustainability, SustainIT 2012 |
| Design of a service platform for delay-sensitive video streaming applications based on multicast p2p and scalable MDC encoding | Favalli L., Folli M., Lombardo A., Reforgiato D., Schembra G., | 2012 | Computer Communications |
| Exporting data-plane energy-aware capabilities from network devices toward the control plane: The Green Abstraction Layer | Reforgiato D., Lombardo A., Davoli F., Fialho L., Collier M., Donadio P., Bolla R., Bruschi R., | 2012 | 2012 17th European Conference on Network and Optical Communications, NOC 2012, 7th Conference on Optical Cabling and Infrastructure, OC and I 2012 |
| Power control and management in the NetFPGA gigabit router | Lombardo A., Panarello C., Reforgiato D., Schembra G., | 2012 | 2012 Future Network and Mobile Summit, FutureNetw 2012 |
| A dynamic jitter-controlled tree-based p2p network topology for multipoint multimedia applications | Lombardo A., Masto A., Reforgiato D., Schembra G., | 2012 | Journal of Interconnection Networks |
| A module for packet hijacking in NetFPGA platform | Lombardo A., Panarello C., Reforgiato D., Santagati E., Schembra G., | 2011 | Proceedings - 2011 14th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2011 |
| A banner recommendation system based on web navigation history | Giuffrida G., Reforgiato D., Tribulato G., Zarba C., | 2011 | IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining |
| Annotated RDF | Udrea O., Recupero D.R., Subrahmanian V.S., | 2010 | ACM Transactions on Computational Logic |
| P2P and MPEG FGS encoding: A good recipe for multipoint video transmission on the internet | Reforgiato D., Lombardo A., Schembra G., | 2009 | International Journal of Digital Multimedia Broadcasting |
| GraphClust: A method for clustering database of graphs | Reforgiato D., Gutierrez R., Shasha D., | 2008 | Journal of Information and Knowledge Management |
| AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis | Subrahmanian V., Reforgiato D., | 2008 | IEEE Intelligent Systems |
| Sentiment analysis: Adjectives and adverbs are better than adjectives alone | Benamara F., Cesarano C., Picariello A., Reforgiato D., Subrahmanian V.S., | 2007 | ICWSM 2007 - International Conference on Weblogs and Social Media |
| The OASYS 2.0 opinion analysis system: A demo | Cesarano C., Picariello A., Reforgiato D., Subrahmanian V., | 2007 | ICWSM 2007 - International Conference on Weblogs and Social Media |
| A new unsupervised method for document clustering by using WordNet lexical and conceptual relations | Recupero D., | 2007 | Information Retrieval |
| Advanced indexing schema for imaging applications: Three case studies | Battiato S., Di Blasi G., Reforgiato D., | 2007 | IET Image Processing |
| CARA: A cultural-reasoning architecture | Subrahmanian V., Albanese M., Martinez M., Nau D., Reforgiato D., Simari G., Sliva A., Udrea O., Wilkenfeld J., | 2007 | IEEE Intelligent Systems |
| Opinion analysis in document databases | Cesarano C., Picariello A., Reforgiato D., Sagoff A., Subrahmanian V.S., Dorr B., | 2006 | AAAI Spring Symposium - Technical Report |
| Annotated RDF | Udrea O., Recupero D.R., Subrahmanian V.S., | 2006 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Strutture dati e algoritmi per problemi di ottimizzazione e di ricerca in spazi metrici e grafi | Recupero D.R., | 2005 | Bollettino della Unione Matematica Italiana A |
| Antipole tree indexing to support range search and k-nearest neighbor search in metric spaces | Cantone D., Ferro A., Pulvirenti A., Recupero D., Shasha D., | 2005 | IEEE Transactions on Knowledge and Data Engineering |
| Clustered trie structures for approximate search in hierarchical objects collections | Giugno R., Pulvirenti A., Reforgiato Recupero D., | 2005 | Lecture Notes in Computer Science |
Saeed R.A., Reforgiato Recupero D., Remagnino P., The boundary node method for multi-robot multi-goal path planning problems (2021), Expert Systems
Alam M., Gangemi A., Presutti V., Reforgiato Recupero D., Semantic role labeling for knowledge graph extraction from text (2021), Progress in Artificial Intelligence
Saeed R.A., Recupero D.R., Remagnino P., Simulating People Dynamics (2021), 2021 17th International Conference on Intelligent Environments, IE 2021 - Proceedings
Dessì D., Recupero D.R., Sack H., An assessment of deep learning models and word embeddings for toxicity detection within online textual comments (2021), Electronics (Switzerland)
Dessì D., Osborne F., Reforgiato Recupero D., Buscaldi D., Motta E., Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain (2021), Future Generation Computer Systems
Recupero D.R., Technology enhanced learning using humanoid robots (2021), Future Internet
Carta S., Corriga A., Ferreira A., Podda A.S., Recupero D.R., A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning (2021), Applied Intelligence
Carta S., Ferreira A., Podda A.S., Reforgiato Recupero D., Sanna A., Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting (2021), Expert Systems with Applications
Nayyeri M., Cil G.M., Vahdati S., Osborne F., Kravchenko A., Angioni S., Salatino A., Recupero D.R., Motta E., Lehmann J., Link Prediction of Weighted Triples for Knowledge Graph Completion within the Scholarly Domain (2021), IEEE Access
Buscaldi D., Dessì D., Dragoni M., Recupero D.R., Sack H., Preface (2021), CEUR Workshop Proceedings
Nayyeri M., Cil G.M., Vahdati S., Osborne F., Rahman M., Angioni S., Salatino A., Recupero D.R., Vassilyeva N., Motta E., Lehmann J., Trans4E: Link prediction on scholarly knowledge graphs (2021), Neurocomputing
Carta S., Consoli S., Piras L., Podda A.S., Recupero D.R., Event Detection in Finance Using Hierarchical Clustering Algorithms on News and Tweets (2021), PeerJ Computer Science
Carta S., Ferreira A., Reforgiato Recupero D., Saia R., Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space (2021), Progress in Artificial Intelligence
Lilliu F., Denysiuk R., Reforgiato Recupero D., Vinyals M., A Game-Theoretical Incentive Mechanism for Local Energy Communities (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Denysiuk R., Lilliu F., Vinyals M., Reforgiato Recupero D., Intelligent Local Energy Communities: A Multiagent System Approach (2021), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Carta S.M., Consoli S., Podda A.S., Recupero D.R., Stanciu M.M., Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage (2021), IEEE Access
Carta S.M., Consoli S., Piras L., Podda A.S., Recupero D.R., Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting (2021), IEEE Access
Kumar V., Recupero D.R., Riboni D., Helaoui R., Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification from Clinical Notes (2021), IEEE Access
Gerina F., Massa S.M., Moi F., Reforgiato Recupero D., Riboni D., Recognition of cooking activities through air quality sensor data for supporting food journaling (2020), Human-centric Computing and Information Sciences
Carta S., Consoli S., Corriga A., Dapiaggi R., Podda A.S., Reforgiato Recupero D., HawkEye: A visual framework for agile cross-validation of deep learning approaches in financial forecasting (2020), ACM International Conference Proceeding Series
Reforgiato Recupero D., Spiga F., Knowledge acquisition from parsing natural language expressions for humanoid robot action commands (2020), Information Processing and Management
Wu Z., Helaoui R., Kumar V., Reforgiato Recupero D., Riboni D., Towards detecting need for empathetic response in motivational interviewing (2020), ICMI 2020 Companion - Companion Publication of the 2020 International Conference on Multimodal Interaction
Carta S., Podda A.S., Recupero D.R., Saia R., A local feature engineering strategy to improve network anomaly detection (2020), Future Internet
Carta S., Podda A.S., Recupero D.R., Saia R., Usai G., Popularity prediction of instagram posts (2020), Information (Switzerland)
Atzeni M., Reforgiato Recupero D., Multi-domain sentiment analysis with mimicked and polarized word embeddings for human–robot interaction (2020), Future Generation Computer Systems
Barra S., Carta S.M., Corriga A., Podda A.S., Recupero D.R., Deep learning and time series-To-image encoding for financial forecasting (2020), IEEE/CAA Journal of Automatica Sinica
Consoli S., Recupero D.R., Riboni D., SmartPHIL: 1st workshop on smart personal health interfaces (2020), International Conference on Intelligent User Interfaces, Proceedings IUI
Arca A., Carta S., Giuliani A., Stanciu M.M., Recupero D.R., Automated tag enrichment by semantically related trends (2020), WEBIST 2020 - Proceedings of the 16th International Conference on Web Information Systems and Technologies
Carta S., Gaeta E., Giuliani A., Piano L., Recupero D.R., Efficient thumbnail identification through object recognition (2020), WEBIST 2020 - Proceedings of the 16th International Conference on Web Information Systems and Technologies
Saia R., Carta S., Recupero D.R., Fenu G., A feature space transformation to intrusion detection systems (2020), IC3K 2020 - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Carta S., Fenu G., Ferreira A., Reforgiato Recupero D., Saia R., A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance (2020), Communications in Computer and Information Science
Carta S., Consoli S., Piras L., Podda A.S., Reforgiato Recupero D., Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Carta S., Recupero D.R., Saia R., Stanciu M.M., A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Dessì D., Osborne F., Reforgiato Recupero D., Buscaldi D., Motta E., Sack H., AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence (2020), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., The AIDA dashboard: Analysing conferences with semantic technologies (2020), CEUR Workshop Proceedings
Alonso R., Concas E., Recupero D.R., A flexible and scalable social robot architecture employing voice assistant technologies (2020), CEUR Workshop Proceedings
Alam M., Buscaldi D., Cochez M., Osborne F., Recupero D.R., Sack H., Preface (2020), CEUR Workshop Proceedings
Angioni S., Salatino A.A., Osborne F., Recupero D.R., Motta E., Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics (2020), Communications in Computer and Information Science
Cauli N., Recupero D.R., Video action recognition and prediction architecture for a robotic coach (2020), CEUR Workshop Proceedings
Dessì D., Helaoui R., Kumar V., Recupero D.R., Riboni D., TF-IDF vs word embeddings for morbidity identification in clinical notes: An initial study (2020), CEUR Workshop Proceedings
Denysiuk R., Lilliu F., Recupero D.R., Vinyals M., Peer-to-peer energy trading for smart energy communities (2020), ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence
Denysiuk R., Lilliu F., Vinyals M., Recupero D.R., Multiagent system for community energy management (2020), ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence
Saeed R., Recupero D., Remagnino P., A Boundary Node Method for path planning of mobile robots (2020), Robotics and Autonomous Systems
Carta S., Ferreira A., Reforgiato Recupero D., Saia M., Saia R., A combined entropy-based approach for a proactive credit scoring (2020), Engineering Applications of Artificial Intelligence
Lilliu F., Loi A., Reforgiato Recupero D., Sisinni M., Vinyals M., An uncertainty-aware optimization approach for flexible loads of smart grid prosumers: A use case on the Cardiff energy grid (2019), Sustainable Energy, Grids and Networks
Reforgiato Recupero D., Alam M., Buscaldi D., Grezka A., Tavazoee F., Frame-Based Detection of Figurative Language in Tweets [Application Notes] (2019), IEEE Computational Intelligence Magazine
Dridi A., Atzeni M., Reforgiato Recupero D., FineNews: fine-grained semantic sentiment analysis on financial microblogs and news (2019), International Journal of Machine Learning and Cybernetics
Dridi A., Reforgiato Recupero D., Leveraging semantics for sentiment polarity detection in social media (2019), International Journal of Machine Learning and Cybernetics
Lilliu F., Vinyals M., Denysiuk R., Recupero D.R., A novel payment scheme for trading renewable energy in smart grid (2019), e-Energy 2019 - Proceedings of the 10th ACM International Conference on Future Energy Systems
Carta S., Fenu G., Reforgiato Recupero D., Saia R., Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model (2019), Journal of Information Security and Applications
Dessì D., Fenu G., Marras M., Reforgiato Recupero D., Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections (2019), Computers in Human Behavior
Consoli S., Recupero D.R., Petković M., Preface (2019), Data Science for Healthcare: Methodologies and Applications
Carta S., Corriga A., Ferreira A., Recupero D.R., Saia R., A holistic auto-configurable ensemble machine learning strategy for financial trading (2019), Computation
Reforgiato Recupero D., Dessì D., Concas E., A flexible and scalable architecture for human-robot interaction (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Gerina F., Pes B., Reforgiato Recupero D., Riboni D., Toward supporting food journaling using air quality data mining and a social robot (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Buscaldi D., Dessì D., Motta E., Osborne F., Reforgiato Recupero D., Mining Scholarly Publications for Scientific Knowledge Graph Construction (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Saia R., Carta S., Recupero D.R., Fenu G., Saia M., A discretized enriched technique to enhance machine learning performance in credit scoring (2019), IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Saia R., Carta S., Recupero D.R., Fenu G., Stanciu M.M., A discretized extended feature space (DEFS) model to improve the anomaly detection performance in network intrusion detection systems (2019), IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Carta S., Corriga A., Mulas R., Recupero D.R., Saia R., A supervised multi-class multi-label word embeddings approach for toxic comment classification (2019), IC3K 2019 - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Angioni S., Osborne F., Salatino A., Recupero D., Motta E., Integrating knowledge graphs for comparing the scientific output of academia and industry (2019), CEUR Workshop Proceedings
Bardaro G., Dessí D., Motta E., Osborne F., Recupero D.R., Parsing natural language sentences into robot actions (2019), CEUR Workshop Proceedings
Saeed R.A., Recupero D.R., Path planning of a mobile robot in grid space using boundary node method (2019), ICINCO 2019 - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics
Buscaldi D., Dessì D., Motta E., Osborne F., Recupero D.R., Mining scholarly data for fine-grained knowledge graph construction (2019), CEUR Workshop Proceedings
Dessì D., Dragoni M., Fenu G., Marras M., Recupero D.R., Evaluating neural word embeddings created from online course reviews for sentiment analysis (2019), Proceedings of the ACM Symposium on Applied Computing
Abedjan Z., Boujemaa N., Campbell S., Casla P., Chatterjea S., Consoli S., Costa-Soria C., Czech P., Despenic M., Garattini C., Hamelinck D., Heinrich A., Kraaij W., Kustra J., Lojo A., Sanchez M.M., Mayer M.A., Melideo M., Menasalvas E., Aarestrup F.M., Artigot E.N., Petković M., Recupero D.R., Gonzalez A.R., Kerremans G.R., Roller R., Romao M., Ruping S., Sasaki F., Spek W., Stojanovic N., Thoms J., Vasiljevs A., Verachtert W., Wuyts R., Data science in healthcare: Benefits, challenges and opportunities (2019), Data Science for Healthcare: Methodologies and Applications
Consoli S., Recupero D.R., Petković M., Data science for healthcare: Methodologies and applications (2019), Data Science for Healthcare: Methodologies and Applications
Asprino L., Gangemi A., Nuzzolese A.G., Presutti V., Recupero D.R., Russo A., Ontology-based knowledge management for comprehensive geriatric assessment and reminiscence therapy on social robots (2019), Data Science for Healthcare: Methodologies and Applications
Saia R., Carta S., Recupero D.R., Fenu G., Internet of entities (IoE): A blockchain-based distributed paradigm for data exchange between wireless-based devices (2019), SENSORNETS 2019 - Proceedings of the 8th International Conference on Sensor Networks
Chaoua I., Consoli S., Härmä A., Helaoui R., Reforgiato Recupero D., Analysis of topic propagation in therapy sessions using partially labeled latent dirichlet allocation (2019), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
D’Onofrio G., Sancarlo D., Raciti M., Reforgiato D., Mangiacotti A., Russo A., Ricciardi F., Vitanza A., Cantucci F., Presutti V., Messervey T., Nolfi S., Cavallo F., Barret E., Whelan S., Casey D., Giuliani F., Greco A., MARIO Project: Experimentation in the Hospital Setting (2019), Lecture Notes in Electrical Engineering
Dessì D., Reforgiato Recupero D., Fenu G., Consoli S., A recommender system of medical reports leveraging cognitive computing and frame semantics (2019), Intelligent Systems Reference Library
Carta S., Medda A., Pili A., Recupero D.R., Saia R., Forecasting E-commerce products prices by combining an autoregressive integrated moving average (ARIMA) model and Google Trends data (2018), Future Internet
Atzeni M., Dridi A., Reforgiato Recupero D., Using frame-based resources for sentiment analysis within the financial domain (2018), Progress in Artificial Intelligence
Dessì D., Cirrone J., Recupero D.R., Shasha D., SuperNoder: a tool to discover over-represented modular structures in networks (2018), BMC bioinformatics
Saia R., Carta S., Recupero D.R., A probabilistic-driven ensemble approach to perform event classification in intrusion detection system (2018), IC3K 2018 - Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management
Atzeni M., Reforgiato Recupero D., Fine-Tuning of Word Embeddings for Semantic Sentiment Analysis (2018), Communications in Computer and Information Science
Buscaldi D., Gangemi A., Recupero D., Preface (2018), Communications in Computer and Information Science
Armano G., Battiato S., Bennato D., Boratto L., Carta S., Noia T., Sciascio E., Ortis A., Recupero D., NewsVallum: Semantics-Aware Text and Image Processing for Fake News Detection system (2018), CEUR Workshop Proceedings
Atzeni M., Reforgiato Recupero D., Deep learning and sentiment analysis for human-robot interaction (2018), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Chaoua I., Recupero D., Consoli S., Härmä A., Helaoui R., Detecting and tracking ongoing topics in psychotherapeutic conversations (2018), CEUR Workshop Proceedings
Ferru D.S., Ibba F., Recupero D.R., Supervised topic-based message polarity classification using cognitive computing (2018), CEUR Workshop Proceedings
Corriga A., Cusimano S., Malloci F., Marchesi L., Recupero D., Leveraging cognitive computing for gender and emotion detection (2018), CEUR Workshop Proceedings
Dessì D., Fenu G., Marras M., Reforgiato Recupero D., COCO: Semantic-enriched collection of online courses at scale with experimental use cases (2018), Advances in Intelligent Systems and Computing
Alam M., Reforgiato Recupero D., Mongiovi M., Gangemi A., Ristoski P., Event-based knowledge reconciliation using frame embeddings and frame similarity (2017), Knowledge-Based Systems
Consoli S., Presutti V., Reforgiato Recupero D., Nuzzolese A.G., Peroni S., Mongiovi' M., Gangemi A., Producing Linked Data for Smart Cities: The Case of Catania (2017), Big Data Research
Alam M., Recupero D., Mongiovi M., Gangemi A., Ristoski P., Reconciling event-based knowledge through RDF2Vec (2017), CEUR Workshop Proceedings
Atzeni M., Dridi A., Reforgiato Recupero D., Fine-grained sentiment analysis on financial microblogs and news headlines (2017), Communications in Computer and Information Science
Reforgiato Recupero D., Cambria E., Di Rosa E., Semantic sentiment analysis challenge at ESWC2017 (2017), Communications in Computer and Information Science
Meloni A., Reforgiato Recupero D., Gangemi A., AMR2FRED, A Tool for Translating Abstract Meaning Representation to Motif-Based Linguistic Knowledge Graphs (2017), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Dessì D., Fenu G., Marras M., Reforgiato Recupero D., Leveraging Cognitive Computing for Multi-class Classification of E-learning Videos (2017), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Iguider W., Reforgiato Recupero D., Language independent sentiment analysis of the Shukran social network using apache spark (2017), Communications in Computer and Information Science
Alam M., Recupero D.R., Mongiovi M., Gangemi A., Ristoski P., Frame embeddings for event-based knowledge reconciliation (2017), CEUR Workshop Proceedings
Recupero D., Alam M., Gangemi A., Presutti V., Frame semantic parsing using Framester knowledge graphs (2017), CEUR Workshop Proceedings
Dessì D., Recupero D., Fenu G., Consoli S., Exploiting cognitive computing and frame semantic features for biomedical document clustering (2017), CEUR Workshop Proceedings
Dessì N., Pani M., Pes B., Recupero D., An approach for discovering and exploring semantic relationships between genes (2017), CEUR Workshop Proceedings
Asprino L., Gangemi A., Nuzzolese A., Presutti V., Recupero D., Russo A., Autonomous comprehensive geriatric assessment (2017), CEUR Workshop Proceedings
Kouroupetroglou C., Casey D., Raciti M., Barrett E., D'Onofrio G., Ricciardi F., Giuliani F., Greco A., Sancarlo D., Mannion A., Whelan S., Pegman G., Koumpis A., Reforgiato Recupero D., Kouroupetroglou A., Santorelli A., Interacting with Dementia: The MARIO Approach (2017), Studies in Health Technology and Informatics
Dridi A., Atzeni M., Recupero D., Bearish-bullish sentiment analysis on financial microblogs (2017), CEUR Workshop Proceedings
Dridi A., Recupero D.R., MORE SENSE: MOvie REviews SENtiment analysis boosted with SEmantics (2017), CEUR Workshop Proceedings
Gangemi A., Presutti V., Reforgiato Recupero D., Nuzzolese A., Draicchio F., Mongiovì M., Semantic Web Machine Reading with FRED (2017), Semantic Web
Gangemi A., Recupero D.R., Mongiovì M., Nuzzolese A.G., Presutti V., Identifying motifs for evaluating open knowledge extraction on the Web (2016), Knowledge-Based Systems
Mongiovì M., Recupero D.R., Gangemi A., Presutti V., Consoli S., Merging open knowledge extracted from text with MERGILO (2016), Knowledge-Based Systems
Dessi N., Garau G., Recupero D.R., Pes B., Increasing open government data transparency with spatial dimension (2016), Proceedings - 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2016
Reforgiato Recupero D., Castronovo M., Consoli S., Costanzo T., Gangemi A., Grasso L., Lodi G., Merendino G., Mongiovì M., Presutti V., Rapisarda S.D., Rosa S., Spampinato E., An Innovative, Open, Interoperable Citizen Engagement Cloud Platform for Smart Government and Users’ Interaction (2016), Journal of the Knowledge Economy
Gangemi A., Alam M., Asprino L., Presutti V., Recupero D., Framester: A wide coverage linguistic linked data hub (2016), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Nuzzolese A., Peroni S., Reforgiato Recupero D., ACM: Article content miner for assessing the quality of scientific output (2016), Communications in Computer and Information Science
Dragoni M., Reforgiato Recupero D., Challenge on fine-grained sentiment analysis within ESWC2016 (2016), Communications in Computer and Information Science
Hossayni S.A., Rajati M.R., Del Acebo E., Recupero D.R., Gangemi A., Akbarzadeht M.R., De La Rosa Esteva J.L., Towards interval version of fuzzy synsets (2016), Frontiers in Artificial Intelligence and Applications
Gangemi A., Nuzzolese A.G., Presutti V., Reforgiato Recupero D., Adjective semantics in open knowledge extraction (2016), Frontiers in Artificial Intelligence and Applications
Hossayni S.A., Akbarzadeh-T M.R., Recupero D.R., Gangemi A., De La Rosa I Esteva J.L., Fuzzy synsets, and lexicon-based sentiment analysis (2016), CEUR Workshop Proceedings
Presutti V., Nuzzolese A.G., Consoli S., Gangemi A., Recupero D.R., From hyperlinks to Semantic Web properties using Open Knowledge Extraction (2016), Semantic Web
Mongiovì M., Recupero D., Gangemi A., Presutti V., Nuzzolese A., Consoli S., Semantic reconciliation of knowledge extracted from text through a novel machine reader (2015), Proceedings of the 8th International Conference on Knowledge Capture, K-CAP 2015
Consoli S., Presutti V., Recupero D., Cataldi G., Mongiovì M., Patatu W., An urban fault reporting and management platform for smart cities (2015), WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
Recupero D., Nuzzolese A., Consoli S., Presutti V., Peroni S., Mongiovì M., Extracting knowledge from text using SHELDON, a semantic holistic framEwork for LinkeD ONtology data (2015), WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
Consoli S., Mongiovì M., Nuzzolese A., Peroni S., Presutti V., Recupero D., Spampinato D., A smart city data model based on semantics best practice and principles (2015), WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
Gentile A.L., Acosta M., Costabello L., Nuzzolese A.G., Presutti V., Recupero D.R., Conference live: Accessible and sociable conference semantic data (2015), WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web
Reforgiato Recupero D., Presutti V., Consoli S., Gangemi A., Nuzzolese A., Sentilo: Frame-Based Sentiment Analysis (2015), Cognitive Computation
Recupero D., Dragoni M., Presutti V., ESWC 15 challenge on concept-level sentiment analysis (2015), Communications in Computer and Information Science
Nuzzolese A., Peroni S., Recupero D., MACJa: Metadata and citations jailbreaker (2015), Communications in Computer and Information Science
Consoli S., Recupero D., Using FRED for named entity resolution, linking and typing for knowledge base population (2015), Communications in Computer and Information Science
Mourshed M., Robert S., Ranalli A., Messervey T., Reforgiato D., Contreau R., Becue A., Quinn K., Rezgui Y., Lennard Z., Smart Grid Futures: Perspectives on the Integration of Energy and ICT Services (2015), Energy Procedia
Kouroupetroglou C., Piso M., Derguech W., Curry E., Mink J., Recupero D.R., Raciti M., Van Slooten J., Coakley D., Engaging users in tracking their water usage behavior (2015), Procedia Engineering
Recupero D.R., Nuzzolese A.G., Consoli S., Gangemi A., Presutti V., SHELDON: Semantic holistic framework for linked ontology data (2015), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Consoli S., Nuzzolese A., Presutti V., Recupero D., Gangemi A., Legalo: Revealing the semantics of links (2015), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Gangemi A., Presutti V., Reforgiato Recupero D., Frame-based detection of opinion holders and topics: A model and a tool (2014), IEEE Computational Intelligence Magazine
Gangemi A., Hassan E., Presutti V., Recupero D., FRED as an event extraction tool (2014), CEUR Workshop Proceedings
Recupero D.R., Consoli S., Gangemi A., Nuzzolese A.G., Presutti V., Spampinato D., Semantic web-based sentiment analysis (2014), CEUR Workshop Proceedings
Consoli S., Gangemi A., Nuzzolese A., Peroni S., Presutti V., Recupero D., Spampinato D., Towards emergency vehicle routing using Geolinked Open Data: The case study of the Municipality of Catania (2014), CEUR Workshop Proceedings
Gangemi A., Alani H., Nissim M., Cambria E., Recupero D.R., Preface (2014), CEUR Workshop Proceedings
Presutti V., Consoli S., Nuzzolese A.G., Recupero D.R., Gangemi A., Bannour I., Zargayouna H., Uncovering the semantics of Wikipedia pagelinks (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Recupero D., Consoli S., Gangemi A., Nuzzolese A., Spampinato D., A semantic web based core engine to efficiently perform sentiment analysis (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Consoli S., Gangemi A., Nuzzolese A.G., Peroni S., Recupero D.R., Spampinato D., Setting the course of emergency vehicle routing using Geolinked open data for the municipality of catania (2014), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Reforgiato Recupero D., Cambria E., ESWC’14 challenge on Concept-Level Sentiment Analysis (2014), Communications in Computer and Information Science
Presutti V., Stankovic M., Cambria E., Cantador I., Di Iorio A., Di Noia T., Lange C., Reforgiato Recupero D., Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC 2014 Anissaras, Crete, Greece, May 25–29, 2014 Revised Selected Papers (2014), Communications in Computer and Information Science
Consoli S., Gangemi A., Nuzzolese A., Peroni S., Presutti V., Recupero D., Spampinato D., Geolinked open data for the municipality of Catania (2014), ACM International Conference Proceeding Series
Consoli S., Recupero D., Zavarella V., A survey on tidal analysis and forecasting methods for Tsunami detection (2014), Science of Tsunami Hazards
Bolla R., Bruschi R., Davoli F., Donadio P., Fialho L., Collier M., Lombardo A., Reforgiato D., Riccobene V., Szemethy T., A northbound interface for power management in next generation network devices (2014), IEEE Communications Magazine
Bolla R., Bruschi R., Davoli F., Donadio P., Fialho L., Collier M., Lombardo A., Reforgiato D., Riccobene V., Szemethy T., Exposing energy-aware capabilities in next generation network devices (2013), 2013 IEEE International Conference on Communications Workshops, ICC 2013
Bolla R., Bruschi R., Davoli F., Di Gregorio L., Donadio P., Fialho L., Collier M., Lombardo A., Reforgiato Recupero D., Szemethy T., The green abstraction layer: A standard power-management interface for next-generation network devices (2013), IEEE Internet Computing
Incarbone G., Lombardo A., Reforgiato D., Schembra G., A comprehensive platform to manage peer churn and bandwidth fluctuations in real-time multimedia P2P networks (2013), Multimedia Tools and Applications
Recupero D.R., Toward a green internet (2013), Science
Gangemi A., Draicchio F., Presutti V., Nuzzolese A., Reforgiato D., A machine rèader for the semantic web (2013), CEUR Workshop Proceedings
Lombardo A., Reforgiato D., Riccobene V., Schembra G., Design of a temperature-constrained governor to save energy in an open multi-frequency green router (2013), International Journal of Business Data Communications and Networking
Reforgiato Recupero D., Toward a green Internet (Science (1533)) (2013), Science
Lombardo A., Reforgiato D., Riccobene V., Schembra G., Modeling temperature and dissipation behavior of an open multi-frequency green router (2012), 2012 IEEE Online Conference on Green Communications, GreenCom 2012
Lombardo A., Panarello C., Reforgiato D., Schembra G., Measuring and modeling energy consumption to design a green NetFPGA giga-router (2012), GLOBECOM - IEEE Global Telecommunications Conference
Lombardo A., Reforgiato D., Riccobene V., Schembra G., A Markov model to control heat dissipation in open multi-frequency green routers (2012), 2012 Sustainable Internet and ICT for Sustainability, SustainIT 2012
Favalli L., Folli M., Lombardo A., Reforgiato D., Schembra G., Design of a service platform for delay-sensitive video streaming applications based on multicast p2p and scalable MDC encoding (2012), Computer Communications
Reforgiato D., Lombardo A., Davoli F., Fialho L., Collier M., Donadio P., Bolla R., Bruschi R., Exporting data-plane energy-aware capabilities from network devices toward the control plane: The Green Abstraction Layer (2012), 2012 17th European Conference on Network and Optical Communications, NOC 2012, 7th Conference on Optical Cabling and Infrastructure, OC and I 2012
Lombardo A., Panarello C., Reforgiato D., Schembra G., Power control and management in the NetFPGA gigabit router (2012), 2012 Future Network and Mobile Summit, FutureNetw 2012
Lombardo A., Masto A., Reforgiato D., Schembra G., A dynamic jitter-controlled tree-based p2p network topology for multipoint multimedia applications (2012), Journal of Interconnection Networks
Lombardo A., Panarello C., Reforgiato D., Santagati E., Schembra G., A module for packet hijacking in NetFPGA platform (2011), Proceedings - 2011 14th Euromicro Conference on Digital System Design: Architectures, Methods and Tools, DSD 2011
Giuffrida G., Reforgiato D., Tribulato G., Zarba C., A banner recommendation system based on web navigation history (2011), IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining
Udrea O., Recupero D.R., Subrahmanian V.S., Annotated RDF (2010), ACM Transactions on Computational Logic
Reforgiato D., Lombardo A., Schembra G., P2P and MPEG FGS encoding: A good recipe for multipoint video transmission on the internet (2009), International Journal of Digital Multimedia Broadcasting
Reforgiato D., Gutierrez R., Shasha D., GraphClust: A method for clustering database of graphs (2008), Journal of Information and Knowledge Management
Subrahmanian V., Reforgiato D., AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis (2008), IEEE Intelligent Systems
Benamara F., Cesarano C., Picariello A., Reforgiato D., Subrahmanian V.S., Sentiment analysis: Adjectives and adverbs are better than adjectives alone (2007), ICWSM 2007 - International Conference on Weblogs and Social Media
Cesarano C., Picariello A., Reforgiato D., Subrahmanian V., The OASYS 2.0 opinion analysis system: A demo (2007), ICWSM 2007 - International Conference on Weblogs and Social Media
Recupero D., A new unsupervised method for document clustering by using WordNet lexical and conceptual relations (2007), Information Retrieval
Battiato S., Di Blasi G., Reforgiato D., Advanced indexing schema for imaging applications: Three case studies (2007), IET Image Processing
Subrahmanian V., Albanese M., Martinez M., Nau D., Reforgiato D., Simari G., Sliva A., Udrea O., Wilkenfeld J., CARA: A cultural-reasoning architecture (2007), IEEE Intelligent Systems
Cesarano C., Picariello A., Reforgiato D., Sagoff A., Subrahmanian V.S., Dorr B., Opinion analysis in document databases (2006), AAAI Spring Symposium - Technical Report
Udrea O., Recupero D.R., Subrahmanian V.S., Annotated RDF (2006), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Recupero D.R., Strutture dati e algoritmi per problemi di ottimizzazione e di ricerca in spazi metrici e grafi (2005), Bollettino della Unione Matematica Italiana A
Cantone D., Ferro A., Pulvirenti A., Recupero D., Shasha D., Antipole tree indexing to support range search and k-nearest neighbor search in metric spaces (2005), IEEE Transactions on Knowledge and Data Engineering
Giugno R., Pulvirenti A., Reforgiato Recupero D., Clustered trie structures for approximate search in hierarchical objects collections (2005), Lecture Notes in Computer Science