Enza Messina
Enza Messina
Professor of Operations Research, University of Milano Bicocca
Verified email at
Cited by
Cited by
Sentiment analysis in social networks
FA Pozzi, E Fersini, E Messina, B Liu
Morgan Kaufmann, 2016
Sentiment analysis: Bayesian ensemble learning
E Fersini, E Messina, FA Pozzi
Decision support systems 68, 26-38, 2014
Computational solution of capacity planning models under uncertainty
SA MirHassani, C Lucas, G Mitra, E Messina, CA Poojari
Parallel Computing 26 (5), 511-538, 2000
Challenges of sentiment analysis in social networks: an overview
FA Pozzi, E Fersini, E Messina, B Liu
Sentiment analysis in social networks, 1-11, 2017
COVID-19 salivary Raman fingerprint: innovative approach for the detection of current and past SARS-CoV-2 infections
C Carlomagno, D Bertazioli, A Gualerzi, S Picciolini, PI Banfi, A Lax, ...
Scientific reports 11 (1), 4943, 2021
Genetic programming for computational pharmacokinetics in drug discovery and development
F Archetti, S Lanzeni, E Messina, L Vanneschi
Genetic Programming and Evolvable Machines 8, 413-432, 2007
Expressive signals in social media languages to improve polarity detection
E Fersini, E Messina, FA Pozzi
Information Processing & Management 52 (1), 20-35, 2016
Detecting irony and sarcasm in microblogs: The role of expressive signals and ensemble classifiers
E Fersini, FA Pozzi, E Messina
2015 IEEE international conference on data science and advanced analytics …, 2015
Genetic programming for human oral bioavailability of drugs
F Archetti, S Lanzeni, E Messina, L Vanneschi
Proceedings of the 8th annual conference on Genetic and Evolutionary …, 2006
An integrated communications framework for context aware continuous monitoring with body sensor networks
F Chiti, R Fantacci, F Archetti, E Messina, D Toscani
IEEE Journal on selected Areas in Communications 27 (4), 379-386, 2009
Modelling and analysis of multistage stochastic programming problems: A software environment
E Messina, G Mitra
European Journal of Operational Research 101 (2), 343-359, 1997
LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems
D Nozza, P Manchanda, E Fersini, M Palmonari, E Messina
Information Processing & Management 58 (3), 102537, 2021
A hierarchical document clustering environment based on the induced bisecting k-means
F Archetti, P Campanelli, E Fersini, E Messina
Flexible Query Answering Systems: 7th International Conference, FQAS 2006 …, 2006
Enhance user-level sentiment analysis on microblogs with approval relations
FA Pozzi, D Maccagnola, E Fersini, E Messina
AI* IA 2013: Advances in Artificial Intelligence: XIIIth International …, 2013
Deep learning and ensemble methods for domain adaptation
D Nozza, E Fersini, E Messina
2016 IEEE 28th International conference on tools with artificial …, 2016
Hidden Markov models for scenario generation
E Messina, D Toscani
IMA Journal of Management Mathematics 19 (4), 379-401, 2008
Approval network: a novel approach for sentiment analysis in social networks
E Fersini, FA Pozzi, E Messina
World Wide Web 20, 831-854, 2017
An interactive method for inferring demographic attributes in Twitter
V Beretta, D Maccagnola, T Cribbin, E Messina
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 113-122, 2015
Soft-constrained inference for named entity recognition
E Fersini, E Messina, G Felici, D Roth
Information Processing & Management 50 (5), 807-819, 2014
Improving leakage management in urban water distribution networks through data analytics and hydraulic simulation
A Candelieri, F Archetti, E Messina
WIT Transactions on Ecology and the Environment 171, 107-117, 2013
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