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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.


2018   

Journal articles1 document

  • 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⟩

Conference papers7 documents

  • Frédérique Bertoncello, Marie-Jeanne Ouriachi, Célia Da Costa Pereira, Andrea Tettamanzi, Louise Purdue, et al.. Modelling complex systems in Archaeology: general issues and first insights from the ModelAnSet project. Université Côte d'Azur Complex Days, M. Argentina; S. Barland; P. Reynaud-Bouret; F. Cauneau; K. Guillouzouic; U. Kuhl; T. Passot; F. Planchon, Jan 2018, Nice, France. pp.145-154. ⟨hal-02014645⟩
  • Molka Dhouib, Catherine Faron Zucker, Andrea Tettamanzi. Construction d'ontologie pour le domaine du sourcing. 29es Journées Francophones d'Ingénierie des Connaissances, IC 2018, AFIA, Jul 2018, Nancy, France. pp.137-144. ⟨hal-01839575⟩
  • Dario Malchiodi, Célia Da Costa Pereira, Andrea G. B. Tettamanzi. Predicting the Possibilistic Score of OWL Axioms through Support Vector Regression. 12th International Conference on Scalable Uncertainty Management (SUM 2018), Oct 2018, Milan, Italy. pp.380-386. ⟨hal-01894495⟩
  • Amel Othmane, Andrea G. B. Tettamanzi, Serena Villata, Nhan Le Thanh. CARS – A Spatio-Temporal BDI Recommender System: Time, Space and Uncertainty. ICAART 2018 - 10th International Conference on Agents and Artificial Intelligence, Jan 2018, Funchal, Madeira, Portugal. pp.1-10. ⟨hal-01721520⟩
  • Dario Malchiodi, Andrea G. B. Tettamanzi. Predicting the Possibilistic Score of OWL Axioms through Modified Support Vector Clustering. 33rd Symposium on Applied Computing (SAC 2018), Apr 2018, Pau, France. ⟨10.1145/3167132.3167345⟩. ⟨hal-01822443⟩
  • Molka Dhouib, Catherine Faron Zucker, Andrea Tettamanzi. Categorization of B2B Service Offers: Lessons learnt from the Silex Use case. 4ème conférence sur les Applications Pratiques de l'Intelligence Artificielle APIA2018, Jul 2018, Nancy, France. ⟨hal-01830905⟩
  • Duc Minh Tran, Claudia d'Amato, Binh Nguyen, Andrea G. B. Tettamanzi. Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-Relational Association Rules in the Semantic Web. Genetic Programming - 21st European Conference (EuroGP 2018), Apr 2018, Parma, Italy. pp.289-305, ⟨10.1007/978-3-319-77553-1_18⟩. ⟨hal-01790667⟩