| 2026 | ICAART | A Frugal Heuristic for Guessing the Truth of Formulas. | Clia da Costa Pereira, Andrea G. B. Tettamanzi |
| 2025 | ICAART | Propagation-Based Domain-Transferable Gradual Sentiment Analysis. | Clia da Costa Pereira, Claude Pasquier, Andrea G. B. Tettamanzi |
| 2024 | EUROGP | An Algorithm Based on Grammatical Evolution for Discovering SHACL Constraints. | Rmi Felin, Pierre Monnin, Catherine Faron, Andrea G. B. Tettamanzi |
| 2024 | ICAART | Scalable Prediction of Atomic Candidate OWL Class Axioms Using a Vector-Space Dimension Reduced Approach. | Ali Ballout, Clia da Costa Pereira, Andrea G. B. Tettamanzi |
| 2024 | ICAART | OCASP OWL Class Axiom Score Predictor with Active Learning. | Ali Ballout, Clia da Costa Pereira, Andrea G. B. Tettamanzi |
| 2024 | ICAART | 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 |
| 2023 | KR | A Comparative Study of Text Representations for French Real-Estate Classified Advertisements Information Extraction. | Lucie Cadorel, Andrea G. B. Tettamanzi |
| 2022 | ICAART | Parsimonious Representation of Knowledge Uncertainty using Metadata about Validity and Completeness. | Clia da Costa Pereira, Didier Dubois, Henri Prade, Andrea G. B. Tettamanzi |
| 2022 | PRIMA | Learning to Classify Logical Formulas Based on Their Semantic Similarity. | Ali Ballout, Clia da Costa Pereira, Andrea G. B. Tettamanzi |
| 2020 | CEC | Grammatical Evolution to Mine OWL Disjointness Axioms Involving Complex Concept Expressions. | Thu Huong Nguyen, Andrea G. B. Tettamanzi |
| 2020 | ECAI | Extending a Fuzzy Polarity Propagation Method for Multi-Domain Sentiment Analysis with Word Embedding and POS Tagging. | Claude Pasquier, Clia da Costa Pereira, Andrea G. B. Tettamanzi |
| 2020 | EKAW | Task-Oriented Uncertainty Evaluation for Linked Data Based on Graph Interlinks. | Ahmed El Amine Djebri, Andrea G. B. Tettamanzi, Fabien Gandon |
| 2020 | ICCS | Using Grammar-Based Genetic Programming for Mining Disjointness Axioms Involving Complex Class Expressions. | Thu Huong Nguyen, Andrea G. B. Tettamanzi |
| 2020 | IPMU | Possibilistic Estimation of Distributions to Leverage Sparse Data in Machine Learning. | Andrea G. B. Tettamanzi, David Emsellem, Clia da Costa Pereira, Alessandro Venerandi, Giovanni Fusco |
| 2020 | MDAI | Classifying Candidate Axioms via Dimensionality Reduction Techniques. | Dario Malchiodi, Clia da Costa Pereira, Andrea G. B. Tettamanzi |
| 2019 | EUROGP | Learning Class Disjointness Axioms Using Grammatical Evolution. | Thu Huong Nguyen, Andrea G. B. Tettamanzi |
| 2019 | ICCS | Publishing Uncertainty on the Semantic Web: Blurring the LOD Bubbles. | Ahmed El Amine Djebri, Andrea G. B. Tettamanzi, Fabien Gandon |
| 2019 | WWW | Linking and Negotiating Uncertainty Theories Over Linked Data. | Ahmed El Amine Djebri, Andrea G. B. Tettamanzi, Fabien Gandon |
| 2018 | EUROGP | 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, Andrea G. B. Tettamanzi |
| 2018 | SAC | Predicting the possibilistic score of OWL axioms through modified support vector clustering. | Dario Malchiodi, Andrea G. B. Tettamanzi |
| 2017 | GECCO | An evolutionary algorithm for discovering multi-relational association rules in the semantic web. | Duc Minh Tran, Claudia d'Amato, Nguyen Thanh Binh, Andrea G. B. Tettamanzi |
| 2017 | ICAIL | Combining fuzzy logic and formal argumentation for legal interpretation. | Clia da Costa Pereira, Andrea G. B. Tettamanzi, Beishui Liao, Alessandra Malerba, Antonino Rotolo, Leendert W. N. van der Torre |
| 2016 | EKAW | Evolutionary Discovery of Multi-relational Association Rules from Ontological Knowledge Bases. | Claudia d'Amato, Andrea G. B. Tettamanzi, Duc Minh Tran |
| 2016 | IJCAI | SMACk: An Argumentation Framework for Opinion Mining. | Mauro Dragoni, Clia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata |
| 2016 | SAC | 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 |
| 2014 | ECAI | Syntactic Possibilistic Goal Generation. | Clia da Costa Pereira, Andrea G. B. Tettamanzi |
| 2014 | EKAW | Testing OWL Axioms against RDF Facts: A Possibilistic Approach. | Andrea G. B. Tettamanzi, Catherine Faron-Zucker, Fabien Gandon |
| 2014 | IDA | The BioKET Biodiversity Data Warehouse: Data and Knowledge Integration and Extraction. | Somsack Inthasone, Nicolas Pasquier, Andrea G. B. Tettamanzi, Clia da Costa Pereira |
| 2013 | IJCAI | Syntactic Computation of Hybrid Possibilistic Conditioning under Uncertain Inputs. | Salem Benferhat, Clia da Costa Pereira, Andrea G. B. Tettamanzi |
| 2011 | EUSFLAT | Linguistic Summarization of Time Series Data using Genetic Algorithms. | Rita Castillo-Ortega, Nicols Marn, Daniel Snchez, Andrea G. B. Tettamanzi |
| 1999 | CEC | Evolutionary design of time-way charts for plating machines. | Georges E. Matile, Andrea G. B. Tettamanzi, Marco Tomassini |