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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.


Università degli studi di Milano [Milano]   

Journal articles3 documents

  • 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 papers10 documents

  • 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⟩
  • 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⟩
  • Salem Benferhat, Célia Da Costa Pereira, Andrea Tettamanzi. Syntactic Computation of Hybrid Possibilistic Conditioning under Uncertain Inputs. 23 International Joint Conference on Artificial Intelligence (IJCAI'13), 2013, Beijing, China. pp.738-745. ⟨hal-00867926⟩
  • Salem Benferhat, Célia Da Costa Pereira, Andrea G. B. Tettamanzi. Hybrid Possibilistic Conditioning for Revision under Weighted Inputs. ECAI , Aug 2012, Montpellier, France. pp.151-156, ⟨10.3233/978-1-61499-098-7-151⟩. ⟨hal-01328664⟩
  • Kartick Chandra Mondal, Nicolas Pasquier, Anirban Mukhopadhyay, Célia Da Costa Pereira, Ujjwal Maulik, et al.. Prediction of Protein Interactions on HIV-1 - Human PPI Data Using a Novel Closure-Based Integrated Approach. INSTICC. International Conference on Bioinformatics Models, Methods and Algorithms, Feb 2012, Vilamoura, Portugal. pp.164-173, 2012, Proceedings of the BIOINFORMATICS'2012 International Conference. 〈hal-00684571〉
  • Salem Benferhat, Célia Da Costa Pereira, Andrea Tettamanzi. Hybrid Possibilistic Conditioning for Revision under Weighted Inputs. 20th European Conference on Artificial Intelligence (ECAI'12), 2012, Montpellier, France. pp.151-156. ⟨hal-00867886⟩
  • Célia Da Costa Pereira, Andrea G. B. Tettamanzi. A Syntactic Possibilistic Belief Change Operator for Cognitive Agents. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011, Aug 2011, Lyon, France. pp.38--45, ⟨10.1109/WI-IAT.2011.54⟩. ⟨hal-01330046⟩
  • Florin-Claudiu Pop, Denis Pallez, Marcel Cremene, Andrea Tettamanzi, Mihai Suciu, et al.. QoS-based Service Optimization Using Differential Evolution. Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 2011, New York, NY, USA, Unknown Region. pp.1891--1898, ⟨10.1145/2001576.2001830⟩. ⟨hal-01322769⟩
  • Célia Da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata. Graded Reinstatement in Belief Revision. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2011, Aug 2011, Lyon, France. pp.58--61, ⟨10.1109/WI-IAT.2011.185⟩. ⟨hal-01329993⟩
  • Célia Da Costa Pereira, Andrea G.B. Tettamanzi, Serena Villata. Changing One's Mind: Erase or Rewind? Possibilistic Belief Revision with Fuzzy Argumentation based on Trust. IJCAI, International Joint Conference on Artificial Intelligence, Jul 2011, Barcelone, Spain. ⟨hal-01328696⟩

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⟩