Claudia Diamantini
Claudia Diamantini
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Emotion and sentiment analysis of tweets using BERT.
A Chiorrini, C Diamantini, A Mircoli, D Potena
Edbt/icdt workshops 3, 1-7, 2021
Behavioral process mining for unstructured processes
C Diamantini, L Genga, D Potena
Journal of Intelligent Information Systems 47, 5-32, 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
Social information discovery enhanced by sentiment analysis techniques
C Diamantini, A Mircoli, D Potena, E Storti
Future Generation Computer Systems 95, 816-828, 2019
Ontology-driven KDD process composition
C Diamantini, D Potena, E Storti
Advances in Intelligent Data Analysis VIII, 285-296, 2009
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
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
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
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
A negation handling technique for sentiment analysis
C Diamantini, A Mircoli, D Potena
2016 international conference on collaboration technologies and systems (cts …, 2016
Bayes vector quantizer for class-imbalance problem
C Diamantini, D Potena
IEEE Transactions on Knowledge and Data Engineering 21 (5), 638-651, 2009
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
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
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
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
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
Quantizing for minimum average misclassification risk
C Diamantini, A Spalvieri
IEEE Transactions on Neural Networks 9 (1), 174-182, 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
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
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
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