Emotion and sentiment analysis of tweets using BERT. A Chiorrini, C Diamantini, A Mircoli, D Potena Edbt/icdt workshops 3, 2021 | 98 | 2021 |
Behavioral process mining for unstructured processes C Diamantini, L Genga, D Potena Journal of Intelligent Information Systems 47, 5-32, 2016 | 73 | 2016 |
Kddonto: An ontology for discovery and composition of kdd algorithms C Diamantini, D Potena, E Storti Third Generation Data Mining: Towards Service-Oriented Knowledge Discovery …, 2009 | 70 | 2009 |
Social information discovery enhanced by sentiment analysis techniques C Diamantini, A Mircoli, D Potena, E Storti Future Generation Computer Systems 95, 816-828, 2019 | 62 | 2019 |
Ontology-driven KDD process composition C Diamantini, D Potena, E Storti Advances in Intelligent Data Analysis VIII, 285-296, 2009 | 53 | 2009 |
SemPI: A semantic framework for the collaborative construction and maintenance of a shared dictionary of performance indicators C Diamantini, D Potena, E Storti Future Generation Computer Systems 54, 352-365, 2016 | 52 | 2016 |
A new metadata model to uniformly handle heterogeneous data lake sources C Diamantini, PL Giudice, L Musarella, D Potena, E Storti, D Ursino New Trends in Databases and Information Systems: ADBIS 2018 Short Papers and …, 2018 | 51 | 2018 |
Building instance graphs for highly variable processes C Diamantini, L Genga, D Potena, W van der Aalst Expert Systems with Applications 59, 101-118, 2016 | 50 | 2016 |
A negation handling technique for sentiment analysis C Diamantini, A Mircoli, D Potena 2016 international conference on collaboration technologies and systems (cts …, 2016 | 46 | 2016 |
Bayes vector quantizer for class-imbalance problem C Diamantini, D Potena IEEE Transactions on Knowledge and Data Engineering 21 (5), 638-651, 2009 | 44 | 2009 |
Big data analytics methodologies applied at energy management in industrial sector: A case study M Bevilacqua, FE Ciarapica, C Diamantini, D Potena International Journal of RF Technologies 8 (3), 105-122, 2017 | 42 | 2017 |
An ontology-based framework to support performance monitoring in public transport systems F Benvenuti, C Diamantini, D Potena, E Storti Transportation Research Part C: Emerging Technologies 81, 188-208, 2017 | 41 | 2017 |
A predictive association rule-based maintenance policy to minimize the probability of breakages: application to an oil refinery S Antomarioni, O Pisacane, D Potena, M Bevilacqua, FE Ciarapica, ... The International Journal of Advanced Manufacturing Technology 105 (9), 3661 …, 2019 | 39 | 2019 |
Interoperability issues among smart home technological frameworks L Rossi, A Belli, A De Santis, C Diamantini, E Frontoni, E Gambi, L Palma, ... 2014 IEEE/ASME 10th International Conference on Mechatronic and Embedded …, 2014 | 37 | 2014 |
Defining a data-driven maintenance policy: an application to an oil refinery plant S Antomarioni, M Bevilacqua, D Potena, C Diamantini International Journal of Quality & Reliability Management 36 (1), 77-97, 2019 | 34 | 2019 |
Mining usage patterns from a repository of scientific workflows C Diamantini, D Potena, E Storti Proceedings of the 27th annual ACM symposium on applied computing, 152-157, 2012 | 33 | 2012 |
Quantizing for minimum average misclassification risk C Diamantini, A Spalvieri IEEE Transactions on Neural Networks 9 (1), 174-182, 1998 | 32 | 1998 |
Prediction of pellet quality through machine learning techniques and near-infrared spectroscopy M Mancini, A Mircoli, D Potena, C Diamantini, D Duca, G Toscano Computers & Industrial Engineering 147, 106566, 2020 | 31 | 2020 |
Discovering anomalous frequent patterns from partially ordered event logs L Genga, M Alizadeh, D Potena, C Diamantini, N Zannone Journal of Intelligent Information Systems 51, 257-300, 2018 | 27 | 2018 |
A goal-oriented, ontology-based methodology to support the design of AAL environments C Diamantini, A Freddi, S Longhi, D Potena, E Storti Expert Systems with Applications 64, 117-131, 2016 | 27 | 2016 |