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ORCIDDiego Reforgiato Recupero
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- affiliation: Università degli Studi di Cagliari, Italy
- affiliation (foermer): University of Maryland, College Park, USA
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2020 – today
- 2023
[j76]Antonello Meloni
, Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain. IEEE Access 11: 22468-22489 (2023)- [j75]Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain. IEEE Access 11: 67567-67599 (2023) - [j74]Golshid Ranjbaran, Diego Reforgiato Recupero, Gianfranco Lombardo, Sergio Consoli:
Leveraging augmentation techniques for tasks with unbalancedness within the financial domain: a two-level ensemble approach. EPJ Data Sci. 12(1): 24 (2023) - [j73]Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni:
Creation, Analysis and Evaluation of AnnoMI, a Dataset of Expert-Annotated Counselling Dialogues. Future Internet 15(3): 110 (2023) - [j72]Joze M. Rozanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli Ghinani, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaz Fortuna, Dunja Mladenic, John Soldatos:
Human-centric artificial intelligence architecture for industry 5.0 applications. Int. J. Prod. Res. 61(20): 6847-6872 (2023) - [j71]Ahlam Kourid, Salim Chikhi, Diego Reforgiato Recupero:
Fuzzy optimized V-detector algorithm on Apache Spark for class imbalance issue of intrusion detection in big data. Neural Comput. Appl. 35(27): 19821-19845 (2023) - [j70]Simone Angioni, Nathan Lincoln-DeCusatis, Andrea Ibba, Diego Reforgiato Recupero:
A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks. PeerJ Comput. Sci. 9: e1410 (2023) - [c111]Zixiu Wu, Simone Balloccu, Ehud Reiter, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni:
Are Experts Needed? On Human Evaluation of Counselling Reflection Generation. ACL (1) 2023: 6906-6930 - [c110]Vivek Kumar, Giacomo Medda, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui, Gianni Fenu:
How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment. BIAS 2023: 119-133 - [c109]Rubén Alonso, Danilo Dessì, Antonello Meloni, Diego Reforgiato Recupero:
A General and NLP-based Architecture to perform Recommendation: A Use Case for Online Job Search and Skills Acquisition. SAC 2023: 936-938 - [i12]Angelo A. Salatino, Simone Angioni, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science. CoRR abs/2306.15344 (2023) - 2022
- [j69]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific Conferences. IEEE Access 10: 39471-39486 (2022) - [j68]Vivek Kumar, Diego Reforgiato Recupero, Rim Helaoui, Daniele Riboni:
K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain. IEEE Access 10: 91802-91815 (2022) - [j67]Agustín Borrego, Danilo Dessì, Inma Hernández, Francesco Osborne, Diego Reforgiato Recupero, David Ruiz, Davide Buscaldi, Enrico Motta:
Completing Scientific Facts in Knowledge Graphs of Research Concepts. IEEE Access 10: 125867-125880 (2022) - [j66]Salvatore M. Carta, Sergio Consoli, Alessandro Giuliani, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
CulturAI: Semantic Enrichment of Cultural Data Leveraging Artificial Intelligence. IEEE Access 10: 127328-127344 (2022) - [j65]Salvatore Carta, Alessandro Giuliani, Leonardo Piano, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
VSTAR: Visual Semantic Thumbnails and tAgs Revitalization. Expert Syst. Appl. 193: 116375 (2022) - [j64]Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Statistical arbitrage powered by Explainable Artificial Intelligence. Expert Syst. Appl. 206: 117763 (2022) - [j63]Mehwish Alam, Anna Fensel, Jorge Martínez Gil, Bernhard Moser, Diego Reforgiato Recupero, Harald Sack:
Special Issue on Machine Learning and Knowledge Graphs. Future Gener. Comput. Syst. 129: 50-53 (2022) - [j62]Davide Buscaldi, Mauro Dragoni, Flavius Frasincar, Diego Reforgiato Recupero:
Special issue on senti-mental health: Future generation sentiment analysis systems. Future Gener. Comput. Syst. 129: 170-173 (2022) - [j61]Nino Cauli, Diego Reforgiato Recupero:
Survey on Videos Data Augmentation for Deep Learning Models. Future Internet 14(3): 93 (2022) - [j60]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Simulating crowd behaviour combining both microscopic and macroscopic rules. Inf. Sci. 583: 137-158 (2022) - [j59]Danilo Dessì, Diego Reforgiato Recupero:
LexTex: a framework to generate lexicons using WordNet word senses in domain specific categories. J. Intell. Inf. Syst. 59(1): 21-44 (2022) - [j58]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
SCICERO: A deep learning and NLP approach for generating scientific knowledge graphs in the computer science domain. Knowl. Based Syst. 258: 109945 (2022) - [j57]Rubén Alonso, Alessandro Bonini, Diego Reforgiato Recupero, Lucio Davide Spano:
Exploiting virtual reality and the robot operating system to remote-control a humanoid robot. Multim. Tools Appl. 81(11): 15565-15592 (2022) - [j56]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Modelling group dynamics for crowd simulations. Pers. Ubiquitous Comput. 26(5): 1299-1319 (2022) - [j55]Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
Editorial of the Special Issue on Deep Learning and Knowledge Graphs. Semantic Web 13(3): 293-297 (2022) - [j54]Salvatore Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
An eXplainable Artificial Intelligence tool for statistical arbitrage. Softw. Impacts 14: 100354 (2022) - [c108]Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enriching Data Lakes with Knowledge Graphs (short paper). TEXT2KG/MK@ESWC 2022: 123-131 - [c107]Zixiu Wu, Simone Balloccu, Vivek Kumar, Rim Helaoui, Ehud Reiter, Diego Reforgiato Recupero, Daniele Riboni:
Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues. ICASSP 2022: 6177-6181 - [c106]Zixiu Wu, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni:
Towards Automated Counselling Decision-Making: Remarks on Therapist Action Forecasting on the AnnoMI Dataset. INTERSPEECH 2022: 1906-1910 - [c105]Silvio Barra, Salvatore Carta, Antonello Meloni, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
A Practical Approach for Vehicle Speed Estimation in Smart Cities. LOD (1) 2022: 253-267 - [c104]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
CS-KG: A Large-Scale Knowledge Graph of Research Entities and Claims in Computer Science. ISWC 2022: 678-696 - [c103]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta:
Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature. ISWC 2022: 735-752 - [i11]Joze M. Rozanec, Inna Novalija, Patrik Zajec, Klemen Kenda, Hooman Tavakoli, Sungho Suh, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Antonello Meloni, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, Blaz Fortuna, Dunja Mladenic, John Soldatos:
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications. CoRR abs/2203.10794 (2022) - 2021
- [j53]Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni, Rim Helaoui:
Ensembling Classical Machine Learning and Deep Learning Approaches for Morbidity Identification From Clinical Notes. IEEE Access 9: 7107-7126 (2021) - [j52]Salvatore M. Carta, Sergio Consoli, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage. IEEE Access 9: 29942-29959 (2021) - [j51]Salvatore M. Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting. IEEE Access 9: 30193-30205 (2021) - [j50]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Andrey Kravchenko, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Enrico Motta, Jens Lehmann:
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. IEEE Access 9: 116002-116014 (2021) - [j49]Salvatore Carta, Andrea Corriga, Anselmo Ferreira, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning. Appl. Intell. 51(2): 889-905 (2021) - [j48]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
The boundary node method for multi-robot multi-goal path planning problems. Expert Syst. J. Knowl. Eng. 38(6) (2021) - [j47]Salvatore Carta, Anselmo Ferreira, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Antonio Sanna:
Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting. Expert Syst. Appl. 164: 113820 (2021) - [j46]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
Generating knowledge graphs by employing Natural Language Processing and Machine Learning techniques within the scholarly domain. Future Gener. Comput. Syst. 116: 253-264 (2021) - [j45]Diego Reforgiato Recupero:
Technology Enhanced Learning Using Humanoid Robots. Future Internet 13(2): 32 (2021) - [j44]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link prediction on scholarly knowledge graphs. Neurocomputing 461: 530-542 (2021) - [j43]Rubén Alonso, Daniele Bortoluzzi, Andrea Costa, Thomas Messervey, Massimiliano Raciti, Diego Reforgiato Recupero:
A flexible and extensible project planning and management tool tailored for European projects. Int. J. Serv. Technol. Manag. 27(4/5/6): 421-448 (2021) - [j42]Mehwish Alam, Aldo Gangemi, Valentina Presutti, Diego Reforgiato Recupero:
Semantic role labeling for knowledge graph extraction from text. Prog. Artif. Intell. 10(3): 309-320 (2021) - [j41]Salvatore Carta, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
Credit scoring by leveraging an ensemble stochastic criterion in a transformed feature space. Prog. Artif. Intell. 10(4): 417-432 (2021) - [j40]Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Event detection in finance using hierarchical clustering algorithms on news and tweets. PeerJ Comput. Sci. 7: e438 (2021) - [j39]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
AIDA: A knowledge graph about research dynamics in academia and industry. Quant. Sci. Stud. 2(4): 1356-1398 (2021) - [j38]Roberto Saia, Alessandro Sebastian Podda, Livio Pompianu, Diego Reforgiato Recupero, Gianni Fenu:
A Blockchain-Based Distributed Paradigm to Secure Localization Services. Sensors 21(20): 6814 (2021) - [c102]Simone Angioni, Salvatore Carta, Sergio Consoli, Diego Reforgiato Recupero, Maria Madalina Stanciu:
A Big Data framework based on Apache Spark for Industry-specific Lexicon Generation for Stock Market Prediction. ICFNDS 2021: 616-624 - [c101]Joze M. Rozanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaz Fortuna, Dunja Mladenic, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos:
STARdom: An Architecture for Trusted and Secure Human-Centered Manufacturing Systems. APMS (4) 2021: 199-207 - [c100]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
Simulating People Dynamics. Intelligent Environments 2021: 1-8 - [c99]Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Maria Madalina Stanciu:
Explainable AI for Financial Forecasting. LOD 2021: 51-69 - [c98]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta:
Assessing Scientific Conferences through Knowledge Graphs. ISWC (Posters/Demos/Industry) 2021 - [c97]Antonello Meloni, Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs. ISWC (Posters/Demos/Industry) 2021 - [e11]Sarra Ben Abbès, Rim Hantach, Philippe Calvez, Davide Buscaldi, Danilo Dessì, Mauro Dragoni, Diego Reforgiato Recupero, Harald Sack:
Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021) co-located with co-located with 18th Extended Semantic Web Conference 2021, Hersonissos, Greece, June 6th - 7th, 2021 (moved online). CEUR Workshop Proceedings 2918, CEUR-WS.org 2021 [contents] - [i10]Joze M. Rozanec, Patrik Zajec, Klemen Kenda, Inna Novalija, Blaz Fortuna, Dunja Mladenic, Entso Veliou, Dimitrios Papamartzivanos, Thanassis Giannetsos, Sofia-Anna Menesidou, Rubén Alonso, Nino Cauli, Diego Reforgiato Recupero, Dimosthenis Kyriazis, Georgios Sofianidis, Spyros Theodoropoulos, John Soldatos:
STARdom: an architecture for trusted and secure human-centered manufacturing systems. CoRR abs/2104.00983 (2021) - [i9]Yousef Alizadeh-Q, Behrouz Minaei-Bidgoli, Sayyed-Ali Hossayni, Mohammad-R. Akbarzadeh-T., Diego Reforgiato Recupero, Mohammad Reza Rajati, Aldo Gangemi:
Interval Probabilistic Fuzzy WordNet. CoRR abs/2104.10660 (2021) - [i8]Danilo Dessì, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. CoRR abs/2105.09632 (2021) - [i7]Zixiu Wu, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
Towards Detecting Need for Empathetic Response in Motivational Interviewing. CoRR abs/2105.09649 (2021) - [i6]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link Prediction on Scholarly Knowledge Graphs. CoRR abs/2107.03297 (2021) - 2020
- [j37]Salvatore Carta, Anselmo Ferreira, Diego Reforgiato Recupero, Marco Saia, Roberto Saia:
A combined entropy-based approach for a proactive credit scoring. Eng. Appl. Artif. Intell. 87 (2020) - [j36]Mattia Atzeni, Diego Reforgiato Recupero:
Multi-domain sentiment analysis with mimicked and polarized word embeddings for human-robot interaction. Future Gener. Comput. Syst. 110: 984-999 (2020) - [j35]Federica Gerina, Silvia M. Massa, Francesca Moi, Diego Reforgiato Recupero, Daniele Riboni:
Recognition of cooking activities through air quality sensor data for supporting food journaling. Hum. centric Comput. Inf. Sci. 10: 27 (2020) - [j34]Silvio Barra, Salvatore M. Carta, Andrea Corriga, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Deep learning and time series-to-image encoding for financial forecasting. IEEE CAA J. Autom. Sinica 7(3): 683-692 (2020) - [j33]Salvatore Carta, Alessandro Sebastian Podda, Diego Reforgiato Recupero, Roberto Saia, Giovanni Usai:
Popularity Prediction of Instagram Posts. Inf. 11(9): 453 (2020) - [j32]Diego Reforgiato Recupero, Federico Spiga:
Knowledge acquisition from parsing natural language expressions for humanoid robot action commands. Inf. Process. Manag. 57(6): 102094 (2020) - [j31]Raza Abdulla Saeed, Diego Reforgiato Recupero, Paolo Remagnino:
A Boundary Node Method for path planning of mobile robots. Robotics Auton. Syst. 123 (2020) - [c96]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics. ADBIS/TPDL/EDA Workshops 2020: 219-225 - [c95]Rubén Alonso, Emanuele Concas, Diego Reforgiato Recupero:
A Flexible and Scalable Social Robot Architecture Employing Voice Assistant Technologies. cAESAR 2020: 36-40 - [c94]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu:
A Feature Space Transformation to Intrusion Detection Systems. KDIR 2020: 137-144 - [c93]Roman Denysiuk, Fabio Lilliu, Meritxell Vinyals, Diego Reforgiato Recupero:
Intelligent Local Energy Communities: A Multiagent System Approach. ICAART (Revised Selected Papers) 2020: 26-51 - [c92]Roman Denysiuk, Fabio Lilliu, Meritxell Vinyals, Diego Reforgiato Recupero:
Multiagent System for Community Energy Management. ICAART (1) 2020: 28-39 - [c91]Roman Denysiuk, Fabio Lilliu, Diego Reforgiato Recupero, Meritxell Vinyals:
Peer-to-peer Energy Trading for Smart Energy Communities. ICAART (1) 2020: 40-49 - [c90]Fabio Lilliu, Roman Denysiuk, Diego Reforgiato Recupero, Meritxell Vinyals:
A Game-Theoretical Incentive Mechanism for Local Energy Communities. ICAART (Revised Selected Papers) 2020: 52-72 - [c89]Salvatore Carta, Sergio Consoli, Andrea Corriga, Raffaele Dapiaggi, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
HawkEye: a Visual Framework for Agile Cross-Validation of Deep Learning Approaches in Financial Forecasting. ICFNDS 2020: 46:1-46:6 - [c88]Zixiu Wu, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
Towards Detecting Need for Empathetic Response in Motivational Interviewing. ICMI Companion 2020: 497-502 - [c87]Danilo Dessì, Rim Helaoui, Vivek Kumar, Diego Reforgiato Recupero, Daniele Riboni:
TF-IDF vs Word Embeddings for Morbidity Identification in Clinical Notes: An Initial Study. SmartPhil@IUI 2020: 1-12 - [c86]Sergio Consoli, Diego Reforgiato Recupero, Daniele Riboni:
SmartPHIL: 1st Workshop on Smart Personal Health Interfaces. IUI Companion 2020: 5-6 - [c85]Nino Cauli, Diego Reforgiato Recupero:
Video Action Recognition and Prediction Architecture for a Robotic Coach (short paper). SmartPhil@IUI 2020: 69-77 - [c84]Salvatore Carta, Sergio Consoli, Luca Piras, Alessandro Sebastian Podda, Diego Reforgiato Recupero:
Dynamic Industry-Specific Lexicon Generation for Stock Market Forecast. LOD (1) 2020: 162-176 - [c83]Salvatore Carta, Diego Reforgiato Recupero, Roberto Saia, Maria Madalina Stanciu:
A General Approach for Risk Controlled Trading Based on Machine Learning and Statistical Arbitrage. LOD (1) 2020: 489-503 - [c82]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta, Harald Sack:
AI-KG: An Automatically Generated Knowledge Graph of Artificial Intelligence. ISWC (2) 2020: 127-143 - [c81]Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
The AIDA Dashboard: Analysing Conferences with Semantic Technologies. ISWC (Demos/Industry) 2020: 271-276 - [c80]Antonella Arca, Salvatore Carta, Alessandro Giuliani, Maria Madalina Stanciu, Diego Reforgiato Recupero:
Automated Tag Enrichment by Semantically Related Trends. WEBIST 2020: 183-193 - [c79]Salvatore Carta, Eugenio Gaeta, Alessandro Giuliani, Leonardo Piano, Diego Reforgiato Recupero:
Efficient Thumbnail Identification through Object Recognition. WEBIST 2020: 209-216 - [e10]Mehwish Alam, Davide Buscaldi, Michael Cochez, Francesco Osborne, Diego Reforgiato Recupero, Harald Sack:
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020 - moved online. CEUR Workshop Proceedings 2635, CEUR-WS.org 2020 [contents] - [e9]Sergio Consoli, Diego Reforgiato Recupero, Daniele Riboni:
Proceedings of the First Workshop on Smart Personal Health Interfaces co-located with 25th International Conference on Intelligent User Interfaces, SmartPhil@IUI 2020, Cagliari, Italy, March 17, 2020. CEUR Workshop Proceedings 2596, CEUR-WS.org 2020 [contents] - [i5]Sayyed-Ali Hossayni, Mohammad-R. Akbarzadeh-T., Diego Reforgiato Recupero, Aldo Gangemi, Esteve del Acebo, Josep Lluís de la Rosa i Esteva:
An Algorithm for Fuzzification of WordNets, Supported by a Mathematical Proof. CoRR abs/2006.04042 (2020) - [i4]Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Davide Buscaldi, Enrico Motta:
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly Domain. CoRR abs/2011.01103 (2020)
2010 – 2019
- 2019
- [j30]Danilo Dessì, Gianni Fenu, Mirko Marras, Diego Reforgiato Recupero:
Bridging learning analytics and Cognitive Computing for Big Data classification in micro-learning video collections. Comput. Hum. Behav. 92: 468-477 (2019) - [j29]Diego Reforgiato Recupero, Mehwish Alam, Davide Buscaldi, Aude Grezka, Farideh Tavazoee:
Frame-Based Detection of Figurative Language in Tweets [Application Notes]. IEEE Comput. Intell. Mag. 14(4): 77-88 (2019) - [j28]Salvatore Carta, Andrea Corriga, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
A Holistic Auto-Configurable Ensemble Machine Learning Strategy for Financial Trading. Comput. 7(4): 67 (2019) - [j27]Salvatore Carta, Andrea Medda, Alessio Pili, Diego Reforgiato Recupero, Roberto Saia:
Forecasting E-Commerce Products Prices by Combining an Autoregressive Integrated Moving Average (ARIMA) Model and Google Trends Data. Future Internet 11(1): 5 (2019) - [j26]Salvatore Carta, Gianni Fenu, Diego Reforgiato Recupero, Roberto Saia:
Fraud detection for E-commerce transactions by employing a prudential Multiple Consensus model. J. Inf. Secur. Appl. 46: 13-22 (2019) - [j25]Amna Dridi, Diego Reforgiato Recupero:
Leveraging semantics for sentiment polarity detection in social media. Int. J. Mach. Learn. Cybern. 10(8): 2045-2055 (2019) - [j24]Amna Dridi, Mattia Atzeni, Diego Reforgiato Recupero:
FineNews: fine-grained semantic sentiment analysis on financial microblogs and news. Int. J. Mach. Learn. Cybern. 10(8): 2199-2207 (2019) - [c78]Diego Reforgiato Recupero, Danilo Dessì, Emanuele Concas:
A Flexible and Scalable Architecture for Human-Robot Interaction. AmI 2019: 311-317 - [c77]Federica Gerina, Barbara Pes, Diego Reforgiato Recupero, Daniele Riboni:
Toward Supporting Food Journaling Using Air Quality Data Mining and a Social Robot. AmI 2019: 318-323 - [c76]Fabio Lilliu, Meritxell Vinyals, Roman Denysiuk, Diego Reforgiato Recupero:
A novel payment scheme for trading renewable energy in smart grid. e-Energy 2019: 111-115 - [c75]Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Mining Scholarly Publications for Scientific Knowledge Graph Construction. ESWC (Satellite Events) 2019: 8-12 - [c74]Davide Buscaldi, Danilo Dessì, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero:
Mining Scholarly Data for Fine-Grained Knowledge Graph Construction. DL4KG@ESWC 2019: 21-30 - [c73]Salvatore Carta, Andrea Corriga, Riccardo Mulas, Diego Reforgiato Recupero, Roberto Saia:
A Supervised Multi-class Multi-label Word Embeddings Approach for Toxic Comment Classification. KDIR 2019: 105-112 - [c72]Salvatore Carta, Gianni Fenu, Anselmo Ferreira, Diego Reforgiato Recupero, Roberto Saia:
A Two-Step Feature Space Transforming Method to Improve Credit Scoring Performance. IC3K 2019: 134-157 - [c71]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Marco Saia:
A Discretized Enriched Technique to Enhance Machine Learning Performance in Credit Scoring. KDIR 2019: 202-213 - [c70]Roberto Saia, Salvatore Carta, Diego Reforgiato Recupero, Gianni Fenu, Maria Madalina Stanciu:
A Discretized Extended Feature Space (DEFS) Model to Improve the Anomaly Detection Performance in Network Intrusion Detection Systems. KDIR 2019: 322-329 - [c69]Raza Abdulla Saeed, Diego Reforgiato Recupero:
Path Planning of a Mobile Robot in Grid Space using Boundary Node Method. ICINCO (2) 2019: 159-166 - [c68]