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2017
Lizárraga E, Blesa MJ, Blum C, Raidl GR.  2017.  Large neighborhood search for the most strings with few bad columns problem. Soft Computing. 21(17):4901–4915.
Giráldez-Cru J, Levy J.  2017.  Locality in Random SAT Instances. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017. :638–644.
2016
Aran XFerrer, Giráldez-Cru J.  2016.  Link Prediction in Evolutionary Graphs. Artificial Intelligence Research and Development: Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 19-21, 2016. :187.
Adrian K, Chocron P, Confalonieri R, Ferrer X, Giráldez-Cru J.  2016.  Link Prediction in Evolutionary Graphs - The Case Study of the CCIA Network. Artificial Intelligence Research and Development - Proceedings of the 19th International Conference of the Catalan Association for Artificial Intelligence, Barcelona, Catalonia, Spain, October 19-21, 2016.
Adrian K, Chocron P, Confalonieri R, Aran XFerrer, Giráldez-Cru J.  2016.  Link prediction in evolutionary graphs the case study of the CCIA network. 19 October 2016 through 21 October 2016. :187–196.
Vetterlein T, Esteva F, Godo L.  2016.  Logics for approximate entailment in ordered universes of discourse. International Journal of Approximate Reasoning. 71:50-63.
2014
Gulati S, Serrà J, Ganguli KK, Serra X.  2014.  Landmark detection in Hindustani music melodies. Proc. of the Int. Computer Music Conf. / Sound and Music Computing Conf. (ICMC/SMC). 2:1062-1068.
Armengol E, Dellunde P, García-Cerdaña A.  2014.  Local and Global Similarities in Fuzzy Class Theory.. CCIA'14. 269:205-217.
Coniglio M, Esteva F, Godo L.  2014.  Logics of formal inconsistency arising from systems of fuzzy logic. Logic Journal of the IGPL. 22:880-904.
Dellunde P, García-Cerdaña A, Noguera C.  2014.  Lowenheim-Skolem theorems for first-order algebraizable logics. The Second Israeli Workshop on Non-Classical Logics and their Applications (ISRALOG'14). :29-32.
2012
Sabater-Mir J., Carbo J., Venturini V., Molina J.M..  2012.  La confianza y la reputación en los sistemas multiagente. NOVATICA. Revista de la Asociacion de Tecnicos de Informatica.. :25–30.
Villatoro D., Andrighetto G., Brandts J., Sabater-Mir J., Conte R..  2012.  Learning with more than rewards: The Implicit Signalling of Distributed Punishment. Proceedings of 11th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2012).. :2579–2586.
Esteva F, Godo L, Rodriguez ROscar, Vetterlein T.  2012.  Logics for approximate and strong entailment. Fuzzy Sets and Systems. 197:59-70.
2009
Bou F, Esteva F, Font JMaria, Gil A, Godo L, Torrens A, Verdú V.  2009.  Logics preserving degrees of truth from varieties of residuated lattices. Journal of Logic and Computation (doi:10.1093/logcom/exp030). 19:1031-1069.
2008
Bianchi R, Ramisa A, de Mántaras RLópez.  2008.  Learning to select Object Recognition Methods for Autonomous Robots. 18th European Conference on Artificial Intelligence. :927-928.
Molina-Solana M, Arcos JLluis, Gómez E.  2008.  Learning Violinist's Expressive Trends. International Workshop on Machine Learning and Music.
Ontañón S, Plaza E.  2008.  Learning, Information Exchange, and Joint-Deliberation through Argumentation in Multi-agent Systems. On the Move to Meaningful Internet Systems: OTM 2008. OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. :150-159.
Godo L, Rodriguez ROscar.  2008.  Logical approaches to fuzzy similarity-based reasoning: an overview. Preferences and Similarities. :75-128.
2007
Torra V, Narukawa Y.  2007.  L'impacte dels articles i els seus índexs. Butlletí de l'Associació Catalana d'Intel·ligència Artificial. :14-17.
Ontañón S, Plaza E.  2007.  Learning and Joint Deliberation through Argumentation in Multi-Agent Systems. Proc. AAMAS-2007. :p.971-978.
2006
Bou E, Plaza E, Rodríguez-Aguilar JA.  2006.  Learning coaching advice to improve playing skills in robocup. AAMAS 2006 Workshop on Adaptation and Learning in Autonomous Agents and Multiagent Systems.
Plaza E, Ontañón S.  2006.  Learning collaboration strategies for committees of learning agents. Autonomous Agents and Multi-Agent Systems. 13:429-461.
Armengol E, Puertas E.  2006.  Learning from cooperation using justifications. Artificial Intelligence Research and Development. :47-54.
Godo L, Zapico A.  2006.  Lexicographic Combinations of Preference Relations in the Context of Possibilistic Decision Theory. Mathware and Soft Computing. XIII:157-171.
2005
Armengol E, Plaza E.  2005.  Lazy Learning for Predictive Toxicology based on a Chemical Ontology. Artificial Intelligence Methods and Tools for Systems Biology. :1-18.
Godo L, Zapico A.  2005.  Lexicographic refinements in the context of possibilistic decision theory. Joint 4th EUSFLAT & 11th LFA Conference 7-9 September, 2005 - Barcelona, Spain.. :559-564.
Hernández C, Meseguer P.  2005.  LRTA*(k). IJCAI ? 05. Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. :1238-1243.
2003
Torra V.  2003.  La integral doble o Twofold integral: Una generalizació de les integrals de Choquet i Sugeno. Butlletí de l’ACIA. Tardor 200:14-20.
Drummond I, Godo L, Sandri S.  2003.  Learning fuzzy systems whit similarity relations. Proceedings of the 10th IFSA World Congress (IFSA 2003) July 2003, Istambul. :516-523.
Ontañón S, Plaza E.  2003.  Learning to Form Dynamic Committees. The second International Conference on Autonomous Agents and Multiagent Systems(AAMAS 2003). :504-511.
2002
Bessière C, Maestre A, Meseguer P.  2002.  La famille ABT. 8èmes Journées Nationales sur la Résolution Pratique de Problèmes NP-Complets, JNPC´02. :57-67.
de Mántaras RLópez.  2002.  La inteligencia artificial hoy. Mundo Científico. :64-71.
Torra V.  2002.  Learning weights for the quasi-weighted means. IEEE Trans. on Fuzzy Systems. 10:653-666.
2001
Armengol E, Plaza E.  2001.  Lazy Induction of Descriptions for Relational Case-Based Learning. Lecture Notes in Artificial Intelligence. 2167:13-24.
Ontañón S, Plaza E.  2001.  Learning when to collaborate among learning agents. Lecture notes in artificial intelligence. 2167:394-405.