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Andrea G. B. Tettamanzi


Andrea Tettamanzi is a full professor at the University of Nice Sophia Antipolis since September 2012. His research affiliation is with the Wimmics research team (a joint research team of the I3S Laboratory and INRIA) and his teaching affiliation is with the Département Informatique.

His major research interests are: evolutionary algorithms, fuzzy logic, and soft computing (or computational intelligence) in general; recently, he has also engaged in research on the logical foundations of cognitive agents.

From November 2002 to August 2012, he was an associate professor at the University of Milan.

From 1998 to 2002, he was an assistant professor at the University of Milan.

Note: the publications deposited in HAL (and appearing below) are only those published after his arrival at the University of Nice Sophia Antipolis. His previous production is available from the University of Milan's Archivio Istituzionale della Ricerca (Institutional Research Archive), at this page.


"Mauro Dragoni"   

Journal articles5 documents

  • Mauro Dragoni, Célia Da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata. Combining Argumentation and Aspect-Based Opinion Mining: The SMACk System. AI Communications, IOS Press, 2018, 31 (1), pp.75 - 95. ⟨10.3233/AIC-180752⟩. ⟨hal-01721538⟩
  • Mauro Dragoni, Andrea G. B. Tettamanzi, Célia Da Costa Pereira. Propagating and Aggregating Fuzzy Polarities for Concept-Level Sentiment Analysis. Cognitive Computation, Springer, 2015, 7 (2), pp.186-197. ⟨10.1007/s12559-014-9308-6⟩. ⟨hal-01150556⟩
  • Mauro Dragoni, Antonia Azzini, Andrea G. B. Tettamanzi. SimBa: A novel similarity-based crossover for neuro-evolution. Neurocomputing, Elsevier, 2013, pp.NEUCOM-D-11-00217R3. ⟨10.1016/j.neucom.2012.03.042⟩. ⟨hal-00906465⟩
  • Mauro Dragoni, Célia Da Costa Pereira, Andrea G. B. Tettamanzi. A Conceptual Representation of Documents and Queries for Information Retrieval Systems by Using Light Ontologies. Expert Systems with Applications, Elsevier, 2012, 39 (12), pp.10376--10388. ⟨10.1016/j.eswa.2012.01.188⟩. ⟨hal-01328709⟩
  • Antonia Azzini, Célia Da Costa Pereira, Mauro Dragoni, Andrea G. B. Tettamanzi. A Neuro-Evolutionary Corpus-Based Method for Word Sense Disambiguation. IEEE Intelligent Systems, Institute of Electrical and Electronics Engineers, 2012, 27 (6), pp.26-35. ⟨10.1109/MIS.2011.108⟩. ⟨hal-01328703⟩

Conference papers4 documents

  • Mauro Dragoni, Célia Da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata. SMACk: An Argumentation Framework for Opinion Mining. International Joint Conference on Artificial Intelligence (IJCAI), Jul 2016, New York, NY, United States. pp.4242-4243. ⟨hal-01353931⟩
  • Mauro Dragoni, Andrea G. B. Tettamanzi, Célia Da Costa Pereira. DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining. Tenth International Conference on Language Resources and Evaluation (LREC 2016), European Language Resources Association (ELRA), May 2016, Portorož, Slovenia. pp.267-272. ⟨hal-01322949⟩
  • Célia Da Costa Pereira, Mauro Dragoni, Andrea G. B. Tettamanzi, Serena Villata. Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation. Tenth International Conference on Scalable Uncertainty Management (SUM 2016) , Sep 2016, Nice, France. pp.126 - 139, ⟨10.1007/978-3-319-45856-4_9⟩. ⟨hal-01377557⟩
  • Mauro Dragoni, Andrea G. B. Tettamanzi, Célia Da Costa Pereira. A Fuzzy System for Concept-Level Sentiment Analysis. Semantic Web Evaluation Challenge - SemWebEval 2014 at ESWC 2014, May 2014, Anissiras, Crete, Greece. pp.21 - 27, ⟨10.1007/978-3-319-12024-9_2⟩. ⟨hal-01078178⟩

Poster communications1 document

  • Mauro Dragoni, Andrea G. B. Tettamanzi, Célia Da Costa Pereira. Using Fuzzy Logic For Multi-Domain Sentiment Analysis. Matthew Horridge; Marco Rospocher; Jacco van Ossenbruggen. ISWC 2014 Posters & Demonstrations Track, Oct 2014, Riva del Garda (TN), Italy. Sun SITE Central Europe (CEUR), CEUR Workshop Preoceedings, 1272, pp.305 - 308, 2014, ISWC 2014 Posters & Demonstrations Track, Riva del Garda, Italy, October 21, 2014. ⟨http://ceur-ws.org/Vol-1272/paper_65.pdf⟩. ⟨hal-01078205⟩

Book sections1 document

  • Antonia Azzini, Mauro Dragoni, Andrea G. B. Tettamanzi. A Neuro-Evolutionary Approach to Electrocardiographic Signal Classification. Evolution, Complexity and Artificial Life, Springer, pp.193-207, 2014, 978-3-642-37576-7. ⟨10.1007/978-3-642-37577-4_13⟩. ⟨hal-00983194⟩