Skip to Main content

Keywords

Co-authors

Social networks

Export Publications

Export the displayed publications:
Number of documents

82

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.


Journal articles14 documents

  • Saverio Basso, Alberto Ceselli, Andrea G. B. Tettamanzi. Random sampling and machine learning to understand good decompositions. Annals of Operations Research, Springer Verlag, 2020, 284 (2), pp.501-526. ⟨10.1007/s10479-018-3067-9⟩. ⟨hal-02319521⟩
  • Alessandro Venerandi, Giovanni Fusco, Andrea G. B. Tettamanzi, David Emsellem. A Machine Learning Approach to Study the Relationship between Features of the Urban Environment and Street Value. Urban Science, MDPI, 2019, 3 (3), pp.100. ⟨10.3390/urbansci3030100⟩. ⟨hal-02319539⟩
  • 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⟩
  • Andrea Tettamanzi, Catherine Faron Zucker, Fabien Gandon. Possibilistic testing of OWL axioms against RDF data. International Journal of Approximate Reasoning, Elsevier, 2017, ⟨10.1016/j.ijar.2017.08.012⟩. ⟨hal-01591001⟩
  • Célia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata, Beishui Liao, Alessandra Malerba, et al.. Handling Norms in Multi-Agent System by Means of Formal Argumentation. Journal of Applied Logics - IfCoLoG Journal of Logics and their Applications, College Publications, 2017, 4 (9), pp.1-35. ⟨hal-01672344⟩
  • Didier Dubois, Giovanni Fusco, Henri Prade, Andrea G. B. Tettamanzi. Uncertain logical gates in possibilistic networks: Theory and application to human geography. International Journal of Approximate Reasoning, Elsevier, 2017, 82, pp.101 - 118. ⟨10.1016/j.ijar.2016.11.009⟩. ⟨hal-01445519⟩
  • 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⟩
  • Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira. Biodiversity and Environment Data Mining. Scientific Journal of National University of Laos, National University of Laos, 2015, 9, pp.116-128. ⟨hal-01160069⟩
  • Giovanni Fusco, Cristina Cao, Didier Dubois, Henri Prade, Floriane Scarella, et al.. Social polarization in the metropolitan area of Marseille. Modelling uncertain knowledge with probabilistic and possibilistic networks. Plurimondi, Politecnico di Bari, 2015, 8 (17), pp.117-126. ⟨hal-01531095⟩
  • Fabio Paglieri, Cristiano Castelfranchi, Célia da Costa Pereira, Rino Falcone, Andrea G. B. Tettamanzi, et al.. Trusting the messenger because of the message: feedback dynamics from information quality to source evaluation. Computational and Mathematical Organization Theory, Springer Verlag, 2014, 20 (2), pp.176-194. ⟨10.1007/s10588-013-9166-x⟩. ⟨hal-00906518⟩
  • Célia da Costa Pereira, Andrea G. B. Tettamanzi. A Syntactic Possibilistic Belief Change Operator: Theory and empirical study. Web Intelligence and Agent Systems, IOS Press, 2014, 12 (2), pp.155-169. ⟨10.3233/WIA-140290⟩. ⟨hal-00983200⟩
  • 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 papers62 documents

  • Hasnaa Daoud, Molka Tounsi Dhouib, Jerôme Rancati, Catherine Faron, Andrea Tettamanzi. A Hybrid Bi-LSTM-CRF Model for Sequence Labeling Applied to the Sourcing Domain. 5ème Conférence Nationale sur les Applications Pratiques de l’Intelligence Artificielle (APIA 2020), Jul 2020, Angers, France. ⟨hal-02932095⟩
  • Thu Huong Nguyen, Andrea G. B. Tettamanzi. Using Grammar-Based Genetic Programming for Mining Disjointness Axioms Involving Complex Class Expressions. Ontologies and Concepts in Mind and Machine. Proceedings of the 25th International Conference on Conceptual Structures (ICCS 2020), Sep 2020, Bozen-Bolzano, Italy. pp.18-32, ⟨10.1007/978-3-030-57855-8_2⟩. ⟨hal-02936193⟩
  • Thu Huong Nguyen, Andrea G. B. Tettamanzi. Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions. 2020 IEEE Congress on Evolutionary Computation (CEC), Jul 2020, Glasgow, United Kingdom. pp.1-8, ⟨10.1109/CEC48606.2020.9185681⟩. ⟨hal-02936253⟩
  • Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi. Classifying Candidate Axioms via Dimensionality Reduction Techniques. The 17th International Conference on Modeling Decisions for Artificial Intelligence, Sep 2020, Sant Cugat, Spain. pp.179-191, ⟨10.1007/978-3-030-57524-3_15⟩. ⟨hal-02931396⟩
  • Ahmed El Amine Djebri, Andrea G. B. Tettamanzi, Fabien Gandon. Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph Interlinks. EKAW 2020 - 22nd International Conference on Knowledge Engineering and Knowledge Management, Sep 2020, Bozen-Bolzano, Italy. ⟨10.1007/978-3-030-61244-3_15⟩. ⟨hal-02933190⟩
  • Claude Pasquier, Célia da Costa Pereira, Andrea G. B. Tettamanzi. Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging. ECAI 2020: 24th European Conference on Artificial Intelligence, August 29-September 8, Santiago de Compostela, Spain, Aug 2020, Santiago de Compostela, Spain. pp.2140-2147, ⟨10.3233/FAIA200338⟩. ⟨hal-02936130⟩
  • Andrea G. B. Tettamanzi, David Emsellem, Célia da Costa Pereira, Alessandro Venerandi, Giovanni Fusco. Possibilistic Estimation of Distributions to Leverage Sparse Data in Machine Learning. IPMU 2020 - 18th International Conference Information Processing and Management of Uncertainty in Knowledge-Based Systems, Jun 2020, Lisbon, Portugal. pp.431-444, ⟨10.1007/978-3-030-50146-4_32⟩. ⟨hal-02885825⟩
  • Molka Tounsi Dhouib, Catherine Faron, Andrea Tettamanzi. Injection of Knowledge in a Sourcing Recommender System. Web Intelligence, Dec 2020, Melbourne, Australia. ⟨hal-02996442⟩
  • Ahmed El Amine Djebri, Andrea Tettamanzi, Fabien Gandon. Publishing Uncertainty on the Semantic Web: Blurring the LOD Bubbles. ICCS 2019 - 24th International Conference on Conceptual Structures, Jul 2019, Marburg, Germany. pp.42-56, ⟨10.1007/978-3-030-23182-8_4⟩. ⟨hal-02167174⟩
  • Ahmed El Amine Djebri, Andrea Tettamanzi, Fabien Gandon. Linking and Negotiating Uncertainty Theories Over Linked Data. WWW 2019 - LDOW/LDDL Workshop of the World Wide Web Conference, May 2019, San Francisco, United States. ⟨10.1145/3308560.3317074⟩. ⟨hal-02064075⟩
  • Molka Tounsi Dhouib, Catherine Faron Zucker, Andrea G. B. Tettamanzi. An Ontology Alignment Approach Combining Word Embedding and the Radius Measure. SEMANTiCS 2019 - European conference on Semantic Technologies and AI, Sep 2019, Karlsruhe, Germany. pp.191-197, ⟨10.1007/978-3-030-33220-4_14⟩. ⟨hal-02348004⟩
  • Thu Huong Nguyen, Andrea G. B. Tettamanzi. An Evolutionary Approach to Class Disjointness Axiom Discovery. WI 2019 - IEEE/WIC/ACM International Conference on Web Intelligence, Oct 2019, Thessaloniki, Greece. pp.68-75, ⟨10.1145/3350546.3352502⟩. ⟨hal-02319638⟩
  • Minh Tran, Claudia d'Amato, Andrea G. B. Tettamanzi, Binh Nguyen. Constructing Metrics for Evaluating Multi-Relational Association Rules in the Semantic Web from Metrics for Scoring Association Rules. IEEE-RIVF 2019 - International Conference on Computing and Communication Technologies, Mar 2019, Da Nang, Vietnam. pp.65-70. ⟨hal-02084977⟩
  • Thu Huong Nguyen, Andrea Tettamanzi. Learning Class Disjointness Axioms Using Grammatical Evolution. EuroGP 2019 - 22nd European Conference on Genetic Programming, Apr 2019, Leipzig, Germany. pp.278-294, ⟨10.1007/978-3-030-16670-0_18⟩. ⟨hal-02100230⟩
  • Fabien Gandon, Franck Michel, Olivier Corby, Michel Buffa, Andrea Tettamanzi, et al.. Graph Data on the Web: extend the pivot, don't reinvent the wheel. W3C Workshop on Web Standardization for Graph Data - Creating Bridges: RDF, Property Graph and SQL, W3C, Mar 2019, Berlin, France. ⟨hal-02058664v2⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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⟩
  • 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. Complex Systems Academy of Excellence, Nice, 2018, 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⟩
  • Minh Tran Duc, Claudia d'Amato, Binh Nguyen, Andrea Tettamanzi. An Evolutionary Algorithm for Discovering Multi-Relational Association Rules in the Semantic Web. Genetic and Evolutionary Computation Conference (GECCO 2017), ACM SIGEVO, Jul 2017, Berlin, Germany. pp.513--520, ⟨10.1145/3071178.3079196⟩. ⟨hal-01567794⟩
  • Célia da Costa Pereira, Andrea G. B. Tettamanzi, Beishui Liao, Alessandra Malerba, Antonino Rotolo, et al.. Combining Fuzzy Logic and Formal Argumentation for Legal Interpretation. ICAIL 2017 - 16th International Conference on Articial Intelligence and Law, Jun 2017, London, United Kingdom. pp.49-58, ⟨10.1145/3086512.3086532⟩. ⟨hal-01672343⟩
  • Célia da Costa Pereira, Didier Dubois, Henri Prade, Andrea G. B. Tettamanzi. Handling Topical Metadata Regarding the Validity and Completenes of Multiple-Source Information: A possibilistic approach. 11th International Conference on Scalable Uncertainty Management (SUM 2017), Oct 2017, Granada, Spain. pp.363-376, ⟨10.1007/978-3-319-67582-4_26⟩. ⟨hal-01615149⟩
  • Amel Ben Othmane, Andrea Tettamanzi, Serena Villata, Nhan Le Thanh. Towards a Spatio-Temporal Agent-Based Recommender System. 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 2017), ACM, May 2017, São Paulo, Brazil. ⟨hal-01531169⟩
  • Meili Vanegas-Hernandez, Célia da Costa Pereira, Diego Moreno, Giovanni Fusco, Andrea Tettamanzi, et al.. A new urban segregation-growth coupled model using a belief-desire-intention possibilistic framework. International Conference on Web Intelligence, Aug 2017, Leipzig, Germany. pp.340 - 347, ⟨10.1145/3106426.3106486⟩. ⟨hal-01575135⟩
  • Giovanni Fusco, Andrea G. B. Tettamanzi. Multiple Bayesian Models for the Sustainable City: The Case of Urban Sprawl. Computational Science and Its Applications - ICCSA 2017 - 17th International Conference, Jul 2017, Trieste, Italy. pp.392-407, ⟨10.1007/978-3-319-62401-3_29⟩. ⟨hal-01567726⟩
  • Catherine Faron Zucker, Irene Pajón Leyra, Konstantina Poulida, Andrea G. B. Tettamanzi. Semantic Categorization of Segments of Ancient and Mediaeval Zoological Texts. Second International Workshop on Semantic Web for Scientific Heritage (SW4SH 2016), May 2016, Heraklion, Greece. pp.59-68. ⟨hal-01322950⟩
  • 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⟩
  • Claudia d'Amato, Steffen Staab, Andrea G. B. Tettamanzi, Minh Tran Duc, Fabien Gandon. Ontology Enrichment by Discovering Multi-Relational Association Rules from Ontological Knowledge Bases. SAC '16 - 31st ACM Symposium on Applied Computing, Apr 2016, Pisa, Italy. pp.333-338, ⟨10.1145/2851613.2851842⟩. ⟨hal-01322947⟩
  • Célia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata. A Belief-Based Approach to Measuring Message Acceptability. Scalable Uncertainty Management, Sep 2016, Nice, France. pp.140-154, ⟨10.1007/978-3-319-45856-4_10⟩. ⟨hal-01377525⟩
  • 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⟩
  • Amel Ben Othmane, Andrea G. B. Tettamanzi, Serena Villata, Nhan Le Thanh. A Multi-context BDI Recommender System: from Theory to Simulation. Web Intelligence, Oct 2016, Omaha, United States. ⟨10.1109/WI.2016.0104⟩. ⟨hal-01400997⟩
  • Claudia d'Amato, Andrea Tettamanzi, Minh Tran Duc. Evolutionary Discovery of Multi-Relational Association Rules from Ontological Knowledge Bases. Knowledge Engineering and Knowledge Management, Nov 2016, Bologna, Italy. pp.113-128, ⟨10.1007/978-3-319-49004-5_8⟩. ⟨hal-01400830⟩
  • 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⟩
  • Amel Ben Othmane, Andrea G. B. Tettamanzi, Serena Villata, Michel Buffa, Nhan Le Thanh. A Multi-context Framework for Modeling an Agent-Based Recommender System. 8th International Conference on Agents and Artificial Intelligence (ICAART2016), Feb 2016, Rome, Italy. ⟨hal-01239884⟩
  • Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi. The BioKET Plant Data Warehouse: Ontology Mapping Concept and Visualization . Botanical Research in Tropical Asia, Dec 2015, Vientiane, Laos. ⟨hal-01330603⟩
  • Célia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata. A Computational Model of Trust Based on Message Content and Source. International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), May 2015, Istanbul, Turkey. pp.1849-1850. ⟨hal-01152360⟩
  • Elena Cabrio, Catherine Faron Zucker, Fabien Gandon, Amine Hallili, Andrea G. B. Tettamanzi. Answering N-Relation Natural Language Questions in the Commercial Domain. The IEEE/WIC/ACM International Conference on Web Intelligence, Dec 2015, Singapore, Singapore. ⟨hal-01187413⟩
  • Andrea G. B. Tettamanzi, Catherine Faron Zucker, Fabien Gandon. Dynamically Time-Capped Possibilistic Testing of SubClassOf Axioms Against RDF Data to Enrich Schemas. The 8th International Conference on Knowledge Capture, K-CAP 2015, Oct 2015, Palisades, NY, United States. ⟨10.1145/2815833.2815835⟩. ⟨hal-01187384⟩
  • Didier Dubois, Giovanni Fusco, Henri Prade, Andrea G. B. Tettamanzi. Uncertain Logical Gates in Possibilistic Networks. An Application to Human Geography. Scalable Uncertainty Management, Sep 2015, Québec, QC, Canada. pp.249-263, ⟨10.1007/978-3-319-23540-0_17⟩. ⟨hal-01203515⟩
  • Célia da Costa Pereira, Andrea G. B. Tettamanzi. Syntactic Possibilistic Goal Generation. ECAI 2014 - 21st European Conference on Artificial Intelligence, Aug 2014, Prague, Czech Republic. pp.711-716, ⟨10.3233/978-1-61499-419-0-711⟩. ⟨hal-01078151⟩
  • Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Célia da Costa Pereira. The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction. Advances in Intelligent Data Analysis XIII - 13th International Symposium, IDA 2014, Leuven, Belgium, October 30 - November 1, 2014. Proceedings, Oct 2014, Leuven, Belgium. pp.131 - 142, ⟨10.1007/978-3-319-12571-8_12⟩. ⟨hal-01084440⟩
  • 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⟩
  • Andrea G. B. Tettamanzi, Catherine Faron Zucker, Fabien Gandon. Testing OWL Axioms against RDF Facts: A Possibilistic Approach. Knowledge Engineering and Knowledge Management - 19th International Conference, EKAW 2014, Linköping, Sweden, November 24-28, 2014. Proceedings, Nov 2014, Linköping, Sweden. pp.519 - 530, ⟨10.1007/978-3-319-13704-9_39⟩. ⟨hal-01084444⟩
  • Andrea G. B. Tettamanzi, Célia da Costa Pereira. Testing Carlo Cipolla's Laws of Human Stupidity with Agent-Based Modeling. IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2014, Aug 2014, Warsaw, Poland. pp.246 - 253, ⟨10.1109/WI-IAT.2014.174⟩. ⟨hal-01085988⟩
  • Matteo Caglioni, Didier Dubois, Giovanni Fusco, Diego Moreno, Henri Prade, et al.. Mise en œuvre pratique de réseaux possibilistes pour modéliser la spécialisation sociale dans les espaces métropolisés. Rencontres Francophones sur la Logique Floue et ses Applications (LFA 2014), Oct 2014, Cargèse, France. pp.267-274. ⟨hal-01150542⟩
  • Salem Benferhat, Célia da Costa Pereira, Andrea G. B. Tettamanzi. Syntactic Computation of Hybrid Possibilistic Conditioning under Uncertain Inputs. IJCAI, Aug 2013, Beijing, China. pp.6822. ⟨hal-00905935⟩
  • Andrew Koster, Andrea G. B. Tettamanzi, Ana Bazzan, Célia da Costa Pereira. Using Trust and Possibilistic Reasoning to Deal with Untrustworthy Communication in VANETs. IEEE-ITS2013, Oct 2013, The Hague, Netherlands. pp.2355-2360, ⟨10.1109/ITSC.2013.6728579⟩. ⟨hal-00906456⟩
  • 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⟩
  • Fabien Gandon, Michel Buffa, Elena Cabrio, Olivier Corby, Catherine Faron Zucker, et al.. Challenges in Bridging Social Semantics and Formal Semantics on the Web. 5h International Conference, ICEIS 2013, Jul 2013, Angers, France. pp.3-15. ⟨hal-01059273⟩
  • 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⟩
  • 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⟩
  • 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. International Conference on Bioinformatics Models, Methods and Algorithms, Feb 2012, Vilamoura, Portugal. pp.164-173. ⟨hal-00684571⟩
  • Andrea G. B. Tettamanzi, Denis Pallez, Célia da Costa Pereira, Christel Dartigues, Philippe Gourbesville. Coastal Current Prediction Using Differential Evolution. SimHydro 2nd international conference(SimHydro), 2012, Sophia-Antipolis, France. ⟨hal-01322767⟩
  • Denis Pallez, Andrea G.B. Tettamanzi, Célia da Costa Pereira. Comparing Paired Comparison-based Interactive DE and Tournament Interactive GA on Stained Glass Design. Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation, 2011, New York, NY, USA, Unknown Region. pp.37--38, ⟨10.1145/2001858.2001881⟩. ⟨hal-01322770⟩
  • 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⟩
  • Andrea G.B. Tettamanzi, Christel Dartigues-Pallez, Célia da Costa Pereira, Denis Pallez, Philippe Gourbesville. Coastal Current Prediction Using CMA Evolution Strategies. Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 2011, New York, NY, USA, United States. pp.1715--1722, ⟨10.1145/2001576.2001807⟩. ⟨hal-01322773⟩
  • 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⟩

Poster communications2 documents

  • Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi. The BioKET Plant Data Warehouse: Ontology Mapping Concept and Visualization. Botanical Research in Tropical Asia, International Congress, Dec 2015, Vientiane, Laos. 2015. ⟨hal-01531039⟩
  • 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. ⟨hal-01078205⟩

Book sections4 documents

  • Giovanni Fusco, Andrea G. B. Tettamanzi. Reviewing the Qualifiers of Imperfection in Geographic Information. Mireille Batton-Hubert; Eric Desjardin; François Pinet. Geographic Data Imperfection 1: From theory to applications, Wiley, 2019, 9781786302977. ⟨10.1002/9781119507284.ch9⟩. ⟨hal-02376225⟩
  • Giovanni Fusco, Andrea G. B. Tettamanzi. Révision des qualificatifs de l'imparfait pour l'information géographique. Mireille Batton-Hubert; Eric Desjardin; François Pinet. L'imperfection des données géographiques 1: bases théoriques, ISTE Edition, 2019, 9781786302977. ⟨hal-02376240⟩
  • Amel Ben Othmane, Andrea G. B. Tettamanzi, Serena Villata, Nhan Le Thanh, Michel Buffa. An Agent-Based Architecture for Personalized Recommendations. H. Jaap van den Herik; Joaquim Filipe. Agents and Artificial Intelligence. ICAART 2016, 10162, Springer, pp.96 - 113, 2017, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-53354-4_6⟩. ⟨hal-01531141⟩
  • 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⟩