Toward a Fuzzy Government of Genetic Populations. - S. Arnone; M. Dell'Orto; Andrea Tettamanzi (ICTAI, 1994)

Distributed Genetic Algorithms with an Application to Portfolio Selection Problems. - A. Loraschi; Marco Tomassini; Andrea Tettamanzi; Paolo Verda (ICANNGA, 1995)

Evolutionary Design of Hashing Function Circuits Using an FPGA. - Ernesto Damiani; Valentino Liberali; Andrea Tettamanzi (ICES, 1998)

Studying Parallel Evolutionary Algorithms: The Cellular Programming Case. - Mathieu S. Capcarrère; Andrea Tettamanzi; Marco Tomassini; Moshe Sipper (PPSN, 1998)

Recombination Operators for Evolutionary Graph Drawing. - Daniel Kobler; Andrea Tettamanzi (PPSN, 1998)

Tuning fuzzy software components with a distributed evolutionary engine. - Andrea Bottari; Gianni Degli Antoni; Andrea Tettamanzi (SAC, 1998)

Automatic Synthesis of Hashing Function Circuits using Evolutionary Techniques. - Ernesto Damiani; Andrea G. B. Tettamanzi; Valentino Liberali (SBCCI, 1998)

Evolutionary design of time-way charts for plating machines. - Georges E. Matile; Andrea G. B. Tettamanzi; Marco Tomassini (CEC, 1999)

On-Line Evolution of FPGA-Based Circuits: A Case Study on Hash Functions. - Ernesto Damiani; Andrea Tettamanzi; Valentino Liberali (Evolvable Hardware, 1999)

A General-Purpose Fuzzy Engine for Crop Control. - Moataz A. Ahmed; Ernesto Damiani; Andrea Tettamanzi (Fuzzy Days, 1999)

A Statistical Study of a Class of Cellular Evolutionary Algorithms. - Mathieu S. Capcarrère; Andrea Tettamanzi; Marco Tomassini; Moshe Sipper (Evol. Comput., 1999)

An Evolutionary Approach to Multiperiod Asset Allocation. - Stefania Baglioni; Célia da Costa Pereira; Dario Sorbello; Andrea Tettamanzi (EuroGP, 2000)

Evolutionary Multiperiod Asset Allocation. - Stefania Baglioni; Dario Sorbello; Célia da Costa Pereira; Andrea Tettamanzi (GECCO, 2000)

GAMUT: A system for customer modeling based on evolutionary algorithms. - Luca Sammartino; Mikhail Simonov; Massimo Soroldoni; Andrea Tettamanzi (GECCO, 2000)

Dynamic Optimisation of Non-linear Feed Forward Circuits. - Ernesto Damiani; Valentino Liberali; Andrea Tettamanzi (ICES, 2000)

Soft computing - integrating evolutionary, neural, and fuzzy systems. - Andrea Tettamanzi; Marco Tomassini (Springer, 2001)

An Evolutionary Approach to Automatic Generation of VHDL Code for Low-Power Digital Filters. - Massimiliano Erba; Roberto Rossi; Valentino Liberali; Andrea Tettamanzi (EuroGP, 2001)

Genetic Programming for Financial Time Series Prediction. - Massimo Santini; Andrea Tettamanzi (EuroGP, 2001)

An Evolutionary Algorithm for Solving the School Time-Tabling Problem. - Calogero Di Stefano; Andrea Tettamanzi (EvoWorkshops, 2001)

Modeling Selection Intensity for Linear Cellular Evolutionary Algorithms. - Mario Giacobini; Marco Tomassini; Andrea Tettamanzi (Artificial Evolution, 2003)

Some Complexity Results on Fuzzy Description Logics. - Piero A. Bonatti; Andrea Tettamanzi (WILF, 2003)

An Evolutionary Approach to Ontology-Based User Model Acquisition. - Célia da Costa Pereira; Andrea Tettamanzi (WILF, 2003)

A Fuzzy Frame-Based Knowledge Representation Formalism. - Andrea Tettamanzi (WILF, 2003)

A Memetic Algorithm for Protein Structure Prediction in a 3D-Lattice HP Model. - Andrea Bazzoli; Andrea Tettamanzi (EvoWorkshops, 2004)

Generalizing Quantification in Fuzzy Description Logics. - Daniel Sánchez 001; Andrea Tettamanzi (Fuzzy Days, 2004)

Modeling Selection Intensity for Toroidal Cellular Evolutionary Algorithms. - Mario Giacobini; Enrique Alba 001; Andrea Tettamanzi; Marco Tomassini (GECCO (1), 2004)

Learning Environment for Life Time Value Calculation of Customers in Insurance Domain. - Andrea Tettamanzi; Luca Sammartino; Mikhail Simonov; Massimo Soroldoni; Mauro Beretta (GECCO (2), 2004)

Takeover time curves in random and small-world structured populations. - Mario Giacobini; Marco Tomassini; Andrea Tettamanzi (GECCO, 2005)

Possibilistic Planning Using Description Logics: A First Step. - Célia da Costa Pereira; Andrea Tettamanzi (WILF, 2005)

Reasoning and Quantification in Fuzzy Description Logics. - Daniel Sánchez 001; Andrea Tettamanzi (WILF, 2005)

Selection intensity in cellular evolutionary algorithms for regular lattices. - Mario Giacobini; Marco Tomassini; Andrea Tettamanzi; Enrique Alba 001 (IEEE Trans. Evol. Comput., 2005)

Fuzzy quantification in fuzzy description logics. - Daniel Sánchez 001; Andrea G. B. Tettamanzi (Fuzzy Logic and the Semantic Web, 2006)

Goal Revision for a Rational Agent. - Célia da Costa Pereira; Andrea Tettamanzi; Leila Amgoud (ECAI, 2006)

A Neural Evolutionary Classification Method for Brain-Wave Analysis. - Antonia Azzini; Andrea Tettamanzi (EvoWorkshops, 2006)

Approximated Type-2 Fuzzy Set Operations. - Hooman Tahayori; Andrea G. B. Tettamanzi; Giovanni Degli Antoni (FUZZ-IEEE, 2006)

A neural evolutionary approach to financial modeling. - Antonia Azzini; Andrea Tettamanzi (GECCO, 2006)

Goal Generation with Ordered Beliefs. - Célia da Costa Pereira; Andrea Tettamanzi (AI*IA, 2007)

Choosing Your Beliefs. - Guido Boella; Célia da Costa Pereira; Gabriella Pigozzi; Andrea Tettamanzi; Leendert W. N. van der Torre (Normative Multi-agent Systems, 2007)

Business Intelligence for Strategic Marketing: Predictive Modelling of Customer Behaviour Using Fuzzy Logic and Evolutionary Algorithms. - Andrea Tettamanzi; Maria Carlesi; Lucia Pannese; Mauro Santalmasi (EvoWorkshops, 2007)

Automated trading on financial instruments with evolved neural networks. - Antonia Azzini; Andrea Tettamanzi (GECCO, 2007)

Ab initio protein structure prediction with a dipeptide-assembly evolutionary algorithm. - Andrea Bazzoli; Giorgio Colombo 001; Andrea Tettamanzi (GECCO, 2007)

Evolutionary algorithms for reasoning in fuzzy description logics with fuzzy quantifiers. - Mauro Dragoni; Andrea Tettamanzi (GECCO, 2007)

A Belief-Desire Framework for Goal Revision. - Célia da Costa Pereira; Andrea Tettamanzi (KES (1), 2007)

From Fuzzy Beliefs to Goals. - Célia da Costa Pereira; Andrea Tettamanzi (WILF, 2007)

Goal generation with relevant and trusted beliefs. - Célia da Costa Pereira; Andrea Tettamanzi (AAMAS (1), 2008)

Fuzzy Logic Based Objective Function Construction for Evolutionary Test Generation. - Andrea G. B. Tettamanzi (Evolutionary Test Generation, 2008)

Goal Generation and Adoption from Partially Trusted Beliefs. - Célia da Costa Pereira; Andrea Tettamanzi (ECAI, 2008)

Evolutionary Single-Position Automated Trading. - Antonia Azzini; Andrea Tettamanzi (EvoWorkshops, 2008)

A Critical Assessment of Some Variants of Particle Swarm Optimization. - Stefano Cagnoni; Leonardo Vanneschi; Antonia Azzini; Andrea Tettamanzi (EvoWorkshops, 2008)

Horizontal Generalization Properties of Fuzzy Rule-Based Trading Models. - Célia da Costa Pereira; Andrea Tettamanzi (EvoWorkshops, 2008)

Evolving Neural Networks for Word Sense Disambiguation. - Antonia Azzini; Célia da Costa Pereira; Mauro Dragoni; Andrea Tettamanzi (HIS, 2008)

Making Others Believe What They Want. - Guido Boella; Célia da Costa Pereira; Andrea Tettamanzi; Leendert W. N. van der Torre (IFIP AI, 2008)

A New Genetic Approach for Neural Network Design. - Antonia Azzini; Andrea Tettamanzi (Engineering Evolutionary Intelligent Systems, 2008)

Fuzzy-Evolutionary Modeling for Single-Position Day Trading. - Célia da Costa Pereira; Andrea Tettamanzi (Natural Computing in Computational Finance, 2008)

A Lexicographic Encoding for Word Sense Disambiguation with Evolutionary Neural Networks. - Antonia Azzini; Célia da Costa Pereira; Mauro Dragoni; Andrea Tettamanzi (AI*IA, 2009)

Goal generation from beliefs based on trust and distrust. - Célia da Costa Pereira; Andrea Tettamanzi (AAMAS (2), 2009)

Evidence against the Paradigm of Energy Minimization in Protein Design. - Andrea Bazzoli; Andrea Tettamanzi (BIOCOMP, 2009)

Goal Generation from Possibilistic Beliefs Based on Trust and Distrust. - Célia da Costa Pereira; Andrea Tettamanzi (DALT, 2009)

Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection. - Antonia Azzini; Matteo De Felice; Sandro Meloni; Andrea Tettamanzi (EvoWorkshops, 2009)

Predicting Turning Points in Financial Markets with Fuzzy-Evolutionary and Neuro-Evolutionary Modeling. - Antonia Azzini; Célia da Costa Pereira; Andrea Tettamanzi (EvoWorkshops, 2009)

Cognitive-Agent-Based Modeling of a Financial Market. - Célia da Costa Pereira; Alessia Mauri; Andrea Tettamanzi (IAT, 2009)

Fuzzy sets in interdisciplinary perception and intelligence. - Isabelle Bloch; Alfredo Petrosino; Andrea Tettamanzi (Fuzzy Sets Syst., 2009)

Reasoning about actions with imprecise and incomplete state descriptions. - Célia da Costa Pereira; Andrea Tettamanzi (Fuzzy Sets Syst., 2009)

On the calculation of extended max and min operations between convex fuzzy sets of the real line. - Hooman Tahayori; Andrea Tettamanzi; Giovanni Degli Antoni; Andrea Visconti (Fuzzy Sets Syst., 2009)

Evolutionary Approaches for ANNs Design. - Antonia Azzini; Andrea Tettamanzi (Encyclopedia of Artificial Intelligence, 2009)

An integrated possibilistic framework for goal generation in cognitive agents. - Célia da Costa Pereira; Andrea Tettamanzi (AAMAS, 2010)

Belief-Goal Relationships in Possibilistic Goal Generation. - Célia da Costa Pereira; Andrea Tettamanzi (ECAI, 2010)

A Study of Nature-Inspired Methods for Financial Trend Reversal Detection. - Antonia Azzini; Matteo De Felice; Andrea Tettamanzi (EvoApplications (2), 2010)

A Possibilistic Approach to Goal Generation in Cognitive Agents. - Célia da Costa Pereira; Andrea Tettamanzi (IEA/AIE (2), 2010)

An Ontological Representation of Documents and Queries for Information Retrieval Systems. - Mauro Dragoni; Célia da Costa Pereira; Andrea Tettamanzi (IIR, 2010)

A Novel Similarity-Based Crossover for Artificial Neural Network Evolution. - Mauro Dragoni; Antonia Azzini; Andrea Tettamanzi (PPSN (1), 2010)

Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System. - Mauro Dragoni; Célia da Costa Pereira; Andrea Tettamanzi (STAIRS, 2010)

Ontology-Based Document and Query Representation May Improve the Effectiveness of Information Retrieval. - Mauro Dragoni; Célia da Costa Pereira; Andrea Tettamanzi (STAIRS, 2010)

The role of goals in belief selection. - Guido Boella; Célia da Costa Pereira; Gabriella Pigozzi; Andrea Tettamanzi; Leendert W. N. van der Torre (Log. J. IGPL, 2010)

Concave type-2 fuzzy sets: properties and operations. - Hooman Tahayori; Andrea Tettamanzi; Giovanni Degli Antoni; Andrea Visconti; Masoomeh Moharrer (Soft Comput., 2010)

Fuzzy-Evolutionary Modeling of Customer Behavior for Business Intelligence. - Célia da Costa Pereira; Andrea Tettamanzi (Marketing Intelligent Systems Using Soft Computing, 2010)

Linguistic Summarization of Time Series Data using Genetic Algorithms. - Rita Castillo-Ortega; Nicolás Marín; Daniel Sánchez 001; Andrea G. B. Tettamanzi (EUSFLAT Conf., 2011)

Using Evolutionary Neural Networks to Test the Influence of the Choice of Numeraire on Financial Time Series Modeling. - Antonia Azzini; Mauro Dragoni; Andrea Tettamanzi (EvoApplications (2), 2011)

A Part-Of-Speech Lexicographic Encoding for an Evolutionary Word Sense Disambiguation Approach. - Antonia Azzini; Mauro Dragoni; Andrea Tettamanzi (EvoApplications (1), 2011)

A multi-objective memetic algorithm for the linguistic summarization of time series. - Rita Castillo-Ortega; Nicolás Marín; Daniel Sánchez 001; Andrea Tettamanzi (GECCO (Companion), 2011)

Comparing paired comparison-based interactive DE and tournament interactive GA on stained glass design. - Denis Pallez; Andrea Tettamanzi; Célia da Costa Pereira (GECCO (Companion), 2011)

QoS-based service optimization using differential evolution. - Florin-Claudiu Pop; Denis Pallez; Marcel Cremene; Andrea Tettamanzi; Mihai Suciu 001; Mircea-Florin Vaida (GECCO, 2011)

Coastal current prediction using CMA evolution strategies. - Andrea Tettamanzi; Christel Dartigues-Pallez; Célia da Costa Pereira; Denis Pallez; Philippe Gourbesville (GECCO, 2011)

A Syntactic Possibilistic Belief Change Operator for Cognitive Agents. - Célia da Costa Pereira; Andrea Tettamanzi (IAT, 2011)

Graded Reinstatement in Belief Revision. - Célia da Costa Pereira; Andrea Tettamanzi; Serena Villata (IAT, 2011)

Changing One's Mind: Erase or Rewind? - Célia da Costa Pereira; Andrea Tettamanzi; Serena Villata (IJCAI, 2011)

SimBa-2: Improving a novel similarity-based crossover for the evolution of artificial neural networks. - Antonia Azzini; Andrea Tettamanzi; Mauro Dragoni (ISDA, 2011)

Evolutionary ANNs: A state of the art survey. - Antonia Azzini; Andrea Tettamanzi (Intelligenza Artificiale, 2011)

Investigating the role of social behavior in financial markets through agent-based simulation. - Alessia Mauri; Andrea Tettamanzi (AAMAS, 2012)

Prediction of Protein Interactions on HIV-1-Human PPI Data using a Novel Closure-based Integrated Approach. - Kartick Chandra Mondal; Nicolas Pasquier; Anirban Mukhopadhyay 001; Célia da Costa Pereira; Ujjwal Maulik; Andrea Tettamanzi (BIOINFORMATICS, 2012)

Hybrid Possibilistic Conditioning for Revision under Weighted Inputs. - Salem Benferhat; Célia da Costa Pereira; Andrea Tettamanzi (ECAI, 2012)

A Neuro-evolutionary Approach to Intraday Financial Modeling. - Antonia Azzini; Mauro Dragoni; Andrea Tettamanzi (EvoApplications, 2012)

Electrocardiographic Signal Classification with Evolutionary Artificial Neural Networks. - Antonia Azzini; Mauro Dragoni; Andrea Tettamanzi (EvoApplications, 2012)

Quality Assessment in Linguistic Summaries of Data. - Rita Castillo-Ortega; Nicolás Marín; Daniel Sánchez 001; Andrea Tettamanzi (IPMU (2), 2012)

A conceptual representation of documents and queries for information retrieval systems by using light ontologies. - Mauro Dragoni; Célia da Costa Pereira; Andrea Tettamanzi (Expert Syst. Appl., 2012)

A Neuro-Evolutionary Corpus-Based Method for Word Sense Disambiguation. - Antonia Azzini; Célia da Costa Pereira; Mauro Dragoni; Andrea Tettamanzi (IEEE Intell. Syst., 2012)

A Comparison between Nature-Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series. - Antonia Azzini; Matteo De Felice; Andrea G. B. Tettamanzi (Natural Computing in Computational Finance (4), 2012)

Challenges in Bridging Social Semantics and Formal Semantics on the Web. - Fabien Gandon; Michel Buffa; Elena Cabrio; Olivier Corby; Catherine Faron-Zucker; Alain Giboin; Nhan Le Thanh; Isabelle Mirbel; Peter Sander; Andrea Tettamanzi; Serena Villata (ICEIS, 2013)

Syntactic Computation of Hybrid Possibilistic Conditioning under Uncertain Inputs. - Salem Benferhat; Célia da Costa Pereira; Andrea G. B. Tettamanzi (IJCAI, 2013)

Using trust and possibilistic reasoning to deal with untrustworthy communication in VANETs. - Andrew Koster; Andrea Tettamanzi; Ana L. C. Bazzan; Célia da Costa Pereira (ITSC, 2013)

A Neuro-Evolutionary Approach to Electrocardiographic Signal Classification. - Antonia Azzini; Mauro Dragoni; Andrea G. B. Tettamanzi (Evolution, Complexity and Artificial Life, 2014)

Syntactic Possibilistic Goal Generation. - Célia da Costa Pereira; Andrea G. B. Tettamanzi (ECAI, 2014)

Testing OWL Axioms against RDF Facts: A Possibilistic Approach. - Andrea G. B. Tettamanzi; Catherine Faron-Zucker; Fabien Gandon (EKAW, 2014)

A Fuzzy System for Concept-Level Sentiment Analysis. - Mauro Dragoni; Andrea G. B. Tettamanzi; Célia da Costa Pereira (SemWebEval@ESWC, 2014)

The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction. - Somsack Inthasone; Nicolas Pasquier; Andrea G. B. Tettamanzi; Célia da Costa Pereira (IDA, 2014)

Using Fuzzy Logic For Multi-Domain Sentiment Analysis. - Mauro Dragoni; Andrea Tettamanzi; Célia da Costa Pereira (ISWC (Posters & Demos), 2014)

Testing Carlo Cipolla's Laws of Human Stupidity with Agent-Based Modeling. - Andrea G. B. Tettamanzi; Célia da Costa Pereira (WI-IAT (3), 2014)

Trusting the messenger because of the message: feedback dynamics from information quality to source evaluation. - Fabio Paglieri; Cristiano Castelfranchi; Célia da Costa Pereira; Rino Falcone; Andrea Tettamanzi; Serena Villata (Comput. Math. Organ. Theory, 2014)

Challenges in Bridging Social Semantics and Formal Semantics on the Web. - Fabien Gandon; Michel Buffa; Elena Cabrio; Catherine Faron-Zucker; Alain Giboin; Nhan Le Thanh; Isabelle Mirbel; Peter Sander; Andrea G. B. Tettamanzi; Serena Villata (CoRR, 2014)

SimBa: A novel similarity-based crossover for neuro-evolution. - Mauro Dragoni; Antonia Azzini; Andrea G. B. Tettamanzi (Neurocomputing, 2014)

A syntactic possibilistic belief change operator: Theory and empirical study. - Célia da Costa Pereira; Andrea G. B. Tettamanzi (Web Intell. Agent Syst., 2014)

A Computational Model of Trust Based on Message Content and Source. - Célia da Costa Pereira; Andrea G. B. Tettamanzi; Serena Villata (AAMAS, 2015)

Dynamically Time-Capped Possibilistic Testing of SubClassOf Axioms Against RDF Data to Enrich Schemas. - Andrea G. B. Tettamanzi; Catherine Faron-Zucker; Fabien Gandon (K-CAP, 2015)

Uncertain Logical Gates in Possibilistic Networks. An Application to Human Geography. - Didier Dubois; Giovanni Fusco 001; Henri Prade; Andrea Tettamanzi (SUM, 2015)

Answering N-Relation Natural Language Questions in the Commercial Domain. - Elena Cabrio; Catherine Faron-Zucker; Fabien Gandon; Amine Hallili; Andrea Tettamanzi (WI-IAT (1), 2015)

Propagating and Aggregating Fuzzy Polarities for Concept-Level Sentiment Analysis. - Mauro Dragoni; Andrea G. B. Tettamanzi; Célia da Costa Pereira (Cogn. Comput., 2015)

Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases. - Claudia d'Amato; Andrea G. B. Tettamanzi; Duc Minh Tran (EKAW, 2016)

Semantic Categorization of Segments of Ancient and Mediaeval Zoological Texts. - Catherine Faron-Zucker; Irene Pajón Leyra; Konstantina Poulida; Andrea G. B. Tettamanzi (SWASH@ESWC, 2016)

A Multi-context Framework for Modeling an Agent-based Recommender System. - Amel Ben Othmane; Andrea Tettamanzi; Serena Villata; Nhan Le Thanh; Michel Buffa (ICAART (2), 2016)

An Agent-Based Architecture for Personalized Recommendations. - Amel Ben Othmane; Andrea Tettamanzi; Serena Villata; Nhan Le Thanh; Michel Buffa (ICAART (Revised Selected Papers), 2016)

SMACk: An Argumentation Framework for Opinion Mining. - Mauro Dragoni; Célia da Costa Pereira; Andrea G. B. Tettamanzi; Serena Villata (IJCAI, 2016)

DRANZIERA: An Evaluation Protocol For Multi-Domain Opinion Mining. - Mauro Dragoni; Andrea Tettamanzi; Célia da Costa Pereira (LREC, 2016)

Ontology enrichment by discovering multi-relational association rules from ontological knowledge bases. - Claudia d'Amato; Steffen Staab; Andrea G. B. Tettamanzi; Duc Minh Tran; Fabien Gandon (SAC, 2016)

Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation. - Célia da Costa Pereira; Mauro Dragoni; Andrea G. B. Tettamanzi; Serena Villata (SUM, 2016)

A Belief-Based Approach to Measuring Message Acceptability. - Célia da Costa Pereira; Andrea G. B. Tettamanzi; Serena Villata (SUM, 2016)

A Multi-context BDI Recommender System: From Theory to Simulation. - Amel Ben Othmane; Andrea Tettamanzi; Serena Villata; Nhan Le Thanh (WI, 2016)

Possibilistic Network. Social Polarization in the Metropolitan Area of Marseille (France). - Andrea Tettamanzi; Giovanni Fusco 001 (Zenodo, 2016)

Towards a Spatio-Temporal Agent-Based Recommender System. - Amel Ben Othmane; Andrea Tettamanzi; Serena Villata; Nhan Le Thanh (AAMAS, 2017)

An evolutionary algorithm for discovering multi-relational association rules in the semantic web. - Duc Minh Tran; Claudia d'Amato; Nguyen Thanh Binh 002; Andrea G. B. Tettamanzi (GECCO, 2017)

Combining fuzzy logic and formal argumentation for legal interpretation. - Célia da Costa Pereira; Andrea G. B. Tettamanzi; Beishui Liao; Alessandra Malerba; Antonino Rotolo; Leendert W. N. van der Torre (ICAIL, 2017)

Multiple Bayesian Models for the Sustainable City: The Case of Urban Sprawl. - Giovanni Fusco 001; Andrea Tettamanzi (ICCSA (4), 2017)

Handling Topical Metadata Regarding the Validity and Completeness of Multiple-Source Information: A Possibilistic Approach. - Célia da Costa Pereira; Didier Dubois; Henri Prade; Andrea G. B. Tettamanzi (SUM, 2017)

A new urban segregation-growth coupled model using a belief-desire-intention possibilistic framework. - Meili Vanegas-Hernandez; Célia da Costa Pereira; Diego Moreno; Giovanni Fusco 001; Andrea G. B. Tettamanzi; Michel Riveill; José Tiberio Hernández (WI, 2017)

Handling Norms in Multi-agent Systems by Means of Formal Argumentation. - Célia da Costa Pereira; Beishui Liao; Alessandra Malerba; Antonino Rotolo; Andrea G. B. Tettamanzi; Leendert W. N. van der Torre; Serena Villata (FLAP, 2017)

Uncertain logical gates in possibilistic networks: Theory and application to human geography. - Didier Dubois; Giovanni Fusco 001; Henri Prade; Andrea G. B. Tettamanzi (Int. J. Approx. Reason., 2017)

Possibilistic testing of OWL axioms against RDF data. - Andrea G. B. Tettamanzi; Catherine Faron-Zucker; Fabien Gandon (Int. J. Approx. Reason., 2017)

Categorization of B2B Service Offers: Lessons learnt from the Silex Use case. - Molka Tounsi; Catherine Faron-Zucker; Andrea Tettamanzi (APIA, 2018)

Comparing Rule Evaluation Metrics for the Evolutionary Discovery of Multi-relational Association Rules in the Semantic Web. - Duc Minh Tran; Claudia d'Amato; Nguyen Thanh Binh 002; Andrea G. B. Tettamanzi (EuroGP, 2018)

Construction d'ontologie pour le domaine du sourcing. - Molka Tounsi; Catherine Faron-Zucker; Andrea Tettamanzi (IC, 2018)

CARS - A Spatio-temporal BDI Recommender System: Time, Space and Uncertainty. - Amel Ben Othmane; Andrea Tettamanzi; Serena Villata; Nhan Le Thanh (ICAART (1), 2018)

Predicting the possibilistic score of OWL axioms through modified support vector clustering. - Dario Malchiodi; Andrea G. B. Tettamanzi (SAC, 2018)

Predicting the Possibilistic Score of OWL Axioms Through Support Vector Regression. - Dario Malchiodi; Célia da Costa Pereira; Andrea G. B. Tettamanzi (SUM, 2018)

Combining argumentation and aspect-based opinion mining: The SMACk system. - Mauro Dragoni; Célia da Costa Pereira; Andrea G. B. Tettamanzi; Serena Villata (AI Commun., 2018)

Learning Class Disjointness Axioms Using Grammatical Evolution. - Thu Huong Nguyen; Andrea G. B. Tettamanzi (EuroGP, 2019)

An Ontology Alignment Approach Combining Word Embedding and the Radius Measure. - Molka Tounsi Dhouib; Catherine Faron-Zucker; Andrea G. B. Tettamanzi (SEMANTiCS, 2019)

Publishing Uncertainty on the Semantic Web: Blurring the LOD Bubbles. - Ahmed El Amine Djebri; Andrea G. B. Tettamanzi; Fabien Gandon (ICCS, 2019)

Constructing Metrics for Evaluating Multi-Relational Association Rules in the Semantic Web from Metrics for Scoring Association Rules. - Duc Minh Tran; Claudia d'Amato; Andrea G. B. Tettamanzi; Binh Thanh Nguyen (RIVF, 2019)

An Evolutionary Approach to Class Disjointness Axiom Discovery. - Thu Huong Nguyen; Andrea G. B. Tettamanzi (WI, 2019)

Linking and Negotiating Uncertainty Theories Over Linked Data. - Ahmed El Amine Djebri; Andrea G. B. Tettamanzi; Fabien Gandon (WWW (Companion Volume), 2019)

Graph Data on the Web: extend the pivot, don't reinvent the wheel. - Fabien Gandon; Franck Michel; Olivier Corby; Michel Buffa; Andrea Tettamanzi; Catherine Faron-Zucker; Elena Cabrio; Serena Villata (CoRR, 2019)

Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions. - Thu Huong Nguyen; Andrea G. B. Tettamanzi (CEC, 2020)

Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging. - Claude Pasquier; Célia da Costa Pereira; Andrea G. B. Tettamanzi (ECAI, 2020)

Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph Interlinks. - Ahmed El Amine Djebri; Andrea G. B. Tettamanzi; Fabien Gandon (EKAW, 2020)

Using Grammar-Based Genetic Programming for Mining Disjointness Axioms Involving Complex Class Expressions. - Thu Huong Nguyen; Andrea G. B. Tettamanzi (ICCS, 2020)

Possibilistic Estimation of Distributions to Leverage Sparse Data in Machine Learning. - Andrea G. B. Tettamanzi; David Emsellem; Célia da Costa Pereira; Alessandro Venerandi; Giovanni Fusco 001 (IPMU (1), 2020)

Classifying Candidate Axioms via Dimensionality Reduction Techniques. - Dario Malchiodi; Célia da Costa Pereira; Andrea G. B. Tettamanzi (MDAI, 2020)

Mining RDF Data of COVID-19 Scientific Literature for Interesting Association Rules. - Lucie Cadorel; Andrea G. B. Tettamanzi (WI/IAT, 2020)

Injection of Knowledge in a Sourcing Recommender System. - Molka Tounsi Dhouib; Catherine Faron; Andrea G. B. Tettamanzi (WI/IAT, 2020)

A Multi-Objective Evolutionary Approach to Class Disjointness Axiom Discovery. - Thu Huong Nguyen; Andrea G. B. Tettamanzi (WI/IAT, 2020)

Random sampling and machine learning to understand good decompositions. - Saverio Basso; Alberto Ceselli; Andrea Tettamanzi (Ann. Oper. Res., 2020)

ARViz: Interactive Visualization of Association Rules for RDF Data Exploration. - Aline Menin; Lucie Cadorel; Andrea Tettamanzi; Alain Giboin; Fabien Gandon; Marco Winckler (IV, 2021)

Geospatial Knowledge in Housing Advertisements: Capturing and Extracting Spatial Information from Text. - Lucie Cadorel; Alicia Blanchi; Andrea G. B. Tettamanzi (K-CAP, 2021)

Using Grammar-Based Genetic Programming for Mining Subsumption Axioms Involving Complex Class Expressions. - Rémi Felin; Andrea G. B. Tettamanzi (WI/IAT, 2021)

Measuring Clusters of Labels in an Embedding Space to Refine Relations in Ontology Alignment. - Molka Tounsi Dhouib; Catherine Faron; Andrea G. B. Tettamanzi (J. Data Semant., 2021)

Fuzzy representation of vague spatial descriptions in real estate advertisements. - Lucie Cadorel; Denis Overal; Andrea G. B. Tettamanzi (LocalRec@SIGSPATIAL, 2022)

Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness. - Célia da Costa Pereira; Didier Dubois; Henri Prade; Andrea G. B. Tettamanzi (ICAART (2), 2022)

Learning to Classify Logical Formulas Based on Their Semantic Similarity. - Ali Ballout; Célia da Costa Pereira; Andrea G. B. Tettamanzi (PRIMA, 2022)

Predicting the Score of Atomic Candidate OWL Class Axioms. - Ali Ballout; Andrea G. B. Tettamanzi; Célia da Costa Pereira (WI/IAT, 2022)

Optimizing the Computation of a Possibilistic Heuristic to Test OWL SubClassOf Axioms Against RDF Data. - Rémi Felin; Olivier Corby; Catherine Faron; Andrea G. B. Tettamanzi (WI/IAT, 2022)

Agent-Based Modeling for Studying the Spontaneous Emergence of Money. - Mattia Di Russo; Zakaria Babutsidze; Célia da Costa Pereira; Maurizio Iacopetta; Andrea G. B. Tettamanzi (WI/IAT, 2022)

Interoperable AI: Evolutionary Race Toward Sustainable Knowledge Sharing. - Stefan Sarkadi; Andrea G. B. Tettamanzi; Fabien Gandon (IEEE Internet Comput., 2022)

Wimmics/association-rules-mining: Association Rules Mining v1.1. - Lucie Cadorel; Andrea Tettamanzi; Aline Menin (Zenodo, 2022)

RULKNE: Representing User Knowledge State in Search-as-Learning with Named Entities. - Dima El Zein; Arthur Câmara; Célia da Costa Pereira; Andrea Tettamanzi (CHIIR, 2023)

A Framework to Include and Exploit Probabilistic Information in SHACL Validation Reports. - Rémi Felin; Catherine Faron; Andrea G. B. Tettamanzi (ESWC, 2023)

Graphes de Connaissances et Ontologie pour la Representation de Données Immobilières Issues d'Annonces en Texte Libre. - Lucie Cadorel; Andrea Tettamanzi; Fabien Gandon (IC, 2023)

Un cadre pour inclure et exploiter des informations probabilistes dans les rapports de validation SHACL. - Rémi Felin; Catherine Faron; Andrea Tettamanzi (IC, 2023)

A Comparative Study of Text Representations for French Real-Estate Classified Advertisements Information Extraction. - Lucie Cadorel; Andrea G. B. Tettamanzi (ENIGMA@KR, 2023)

Predicting the Acceptability of Atomic Candidate OWL Class Axioms. - Ali Ballout; Célia da Costa Pereira; Andrea G. B. Tettamanzi (WI/IAT, 2023)

SURE-KG dataset. - Lucie Cadorel; Fabien Gandon; Andrea G. B. Tettamanzi (Zenodo, 2023)

NER Models for Geospatial Knowledge in Real Estate Advertisements. - Lucie Cadorel; Andrea G. B. Tettamanzi (Zenodo, 2023)

RULKKG: Estimating User's Knowledge Gain in Search-as-Learning Using Knowledge Graphs. - Hadi Nasser; Dima El Zein; Célia da Costa Pereira; Cathy Escazut; Andrea Tettamanzi (CHIIR, 2024)

RDFminer: An Interactive Tool for the Evolutionary Discovery of SHACL Shapes. - Rémi Felin; Pierre Monnin; Catherine Faron; Andrea G. B. Tettamanzi (ESWC Satellite Events (1), 2024)

An Algorithm Based on Grammatical Evolution for Discovering SHACL Constraints. - Rémi Felin; Pierre Monnin; Catherine Faron; Andrea G. B. Tettamanzi (EuroGP, 2024)

Extraction probabiliste de formes SHACL à l'aide d'algorithmes évolutionnaires. - Rémi Felin; Pierre Monnin; Catherine Faron; Andrea Tettamanzi (EGC, 2024)

Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach. - Ali Ballout; Célia da Costa Pereira; Andrea G. B. Tettamanzi (ICAART (2), 2024)

OCASP OWL Class Axiom Score Predictor with Active Learning. - Ali Ballout; Célia da Costa Pereira; Andrea G. B. Tettamanzi (ICAART (Revised Selected Paper, 1), 2024)

Outlier Detection in MET Data Using Subspace Outlier Detection Method. - Dupuy Rony Charles; Pascal Pultrini; Andrea Tettamanzi (ICAART (3), 2024)

Robust Outlier Detection in Multi-environment Trial Data: Comparative Analysis and Application to T3/Wheat Dataset. - Dupuy Rony Charles; Andrea G. B. Tettamanzi; Pascal Pultrini (ICAART (Revised Selected Paper, 1), 2024)

Enhancing User's Knowledge Gain Estimation in Search-as-Learning Using Implied Knowledge. - Arno Lesage; Hadi Nasser; Célia da Costa Pereira; Cathy Escazut; Andrea G. B. Tettamanzi (WI/IAT, 2024)

Estimating Knowledge Gain in Search as Learning: A Clustering-Based Approach to Inferring Learning Goals. - Hadi Nasser; Célia da Costa Pereira; Cathy Escazut; Andrea G. B. Tettamanzi (WI/IAT, 2024)

Bridging Skill Gaps: Combining Generative and Symbolic AI for Personalized Lifelong Learning Pathways. - Cédric Pruski; Célia da Costa Pereira; Marcos Da Silveira; Gabriele Marconi; Marie Gallais; Andrea Tettamanzi (AIED (6), 2025)

Personalized Knowledge Gain Estimation Through Query-Driven Learning Goal Inference in Search As Learning. - Hadi Nasser; Célia da Costa Pereira; Cathy Escazut; Andrea Tettamanzi (CHIIR, 2025)

Meta-Ensemble Learning for Multi-Trait Optimization in Maize Breeding: Combining Gradient Boosting, Random Forests, and Deep Learning with SVM Integration. - Dupuy Rony Charles; Pascal Pultrini; Andrea Tettamanzi (ICAART (3), 2025)

Propagation-Based Domain-Transferable Gradual Sentiment Analysis. - Célia da Costa Pereira; Claude Pasquier; Andrea G. B. Tettamanzi (ICAART (3), 2025)