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Arcos JLluis, de Mántaras RLópez, Serra X.  1998.  Integrating background musical knowledge in a CBR system for generating expressive musical performances. AAAI'98 Workshop on CBR Integrations. :12-16.
Arcos JLluis, Plaza E.  2001.  Exploiting context awareness in information agents. 5th International Conference on Autonomous Agents. :116-117.
Argente E, Boissier O, Carrascosa C, Fornara N, Mcburney P, Noriega P, Ricci A, Sabater-Mir J., Schumacher MIgnaz, Tampitsikas C et al..  2012.  Environment and Agreement Technologies. Proceedings of the First International Conference on Agreement Technologies. :260-261.
Argente E, Boissier O, Carrascosa C, Fornara N, Mcburney P, Noriega P, Ricci A, Sabater-Mir J., Schumacher MIgnaz, Tampitsikas C et al..  2013.  The role of the environment in agreement technologies. Artificial Intelligence Review. 39:21-38.
Argerlich J., Domingo X, Li CMin, Manyà F, Planes J..  2006.  Towards Solving Many-Valued MaxSAT. Proceedings, 36th International Symposium on Multiple-Valued Logics (ISMVL-2006), Singapore.
Argerlich J., Li CMin, Manyà F, Planes J.  2008.  The First and Second Max-SAT Evaluations. Journal on Satisfiability, Boolean Modeling and Computation. 4:251-278.
Argerlich J., Manyà F.  2005.  Solving over-constrained problems with SAT technology. Lecture Notes in Computer Science. :1-15.
Argerlich J., Li CMin, Manyà F, Planes J.  2011.  Experimenting with the Instances of the MaxSAT Evaluation. 14th International Conference of the Catalan Association for Artificial Intelligence. 232:31-40.
Argerlich J., Cabiscol A, Lynce I, Manyà F.  2012.  Efficient Encodings from CSP into SAT, and from MaxCSP into MaxSAT. Multiple-Valued Logic and Soft Computing. 19:3-23.
Argerlich J., Manyà F.  2008.  A Preprocessor for Max-SAT Solvers. 11th International Conference on Theory and Applications of Satisfiability Testing (SAT-2008). 4996:15-20.
Argerlich J., Li CMin, Manyà F, Planes J.  2011.  Analyzing the Instances of the MaxSAT Evaluation. 14th International Conference on Theory and Applications of Satisfiability Testing, SAT 2011. 6695:360-361.
Argerlich J., Cabiscol A, Lynce I, Manyà F.  2008.  Modelling Max-CSP as Partial Max-SAT. 11th International Conference on Theory and Applications of Satisfiability Testing (SAT-2008). 4996:1-14.
Argerlich J., Cabiscol A, Lynce I, Manyà F.  2009.  Sequential Encodings from Max-CSP into Partial Max-SAT. 12th International Conference on Theory and Applications of Satisfiability Testing (SAT 2009). LNCS 5584:161-166.
Argerlich J., Cabiscol A, Lynce I, Manyà F.  2010.  New Insights into Encodings from MaxCSP into Partial MaxSAT. 40th IEEE International Symposium on Multiple-Valued Logic (ISMVL). :46-52.
Argerlich J., Manyà F.  2006.  Exact Max-SAT solvers for over-constrained problems. Journal of Heuristics. :375-392.
Armengol E.  2009.  Using explanations for determining carcinogenecity in chemical compounds. International Journal on Engineering Applications of Artificial Intelligence. 22:8.
Armengol E, Plaza E.  2001.  Lazy Induction of Descriptions for Relational Case-Based Learning. Lecture Notes in Artificial Intelligence. 2167:13-24.
Armengol E, Plaza E.  1995.  Explanation-based Learning: A Knowledge Level Analysis. AI Review. 9:19-35.
Armengol E.  1999.  Explanation-based Learning.
Armengol E.  2008.  Building partial domain theories from explanations. Knowledge Intelligence. 2/08:19-24.
Armengol E, Dellunde P, García-Cerdaña A.  2014.  Local and Global Similarities in Fuzzy Class Theory.. CCIA'14. 269:205-217.
Armengol E, Dellunde P, Ratto C.  2011.  Lazy Learning Methods for Quality of Life Assessment in people with intellectual disabilities. CCIA-2011. :41-50.
Armengol E, Plaza E.  2006.  Symbolic explanation of similarities in case-based reasoning. Computing and Informatics. 25:153-171.
Armengol E, Plaza E.  2000.  Bottom-up induction of feature terms. Machine Learning Journal. 41:259-294.
Armengol E, Puyol-Gruart J.  2017.  A reward-based approach for preference modeling: A case study. Journal of Applied Logic. 23:51-69.
Armengol E.  2000.  Explanation-based Learning.
Armengol E, Plaza E.  2002.  Similarity of structured cases in CBR. Butlletí de L'ACIA. CCIA'2002. 5è Congrès Català d'Intel.ligència Artificial, Castelló, 24-25 d'Octubre del 2002.gs of the 5th Catalan Conference on Artificial Intelligence (CCIA'2002). :153-160.
Armengol E, Puig S.  2011.  Combining two lazy learning methods for classification and knowledge discovery.. International Conference on Knowledge Discovery and Information Retrieval.
Armengol E, Plaza E.  2003.  Discovery of toxicological patterns with lazy learning. Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence. 2774:919-926.
Armengol E, Dellunde P, García-Cerdaña A.  2010.  On Similarities in Fuzzy Description Logics. Logic, Algebra and Truth Degrees 2010. 502:44-49.
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.
Armengol E.  1998.  A Framework for Integrated Learning and Problem Solving.
Armengol E, Torra V.  2015.  Generalization-Based k-Anonymization. 5861:207-218.
Armengol E, Plaza E.  2003.  Remembering Similitude Terms in CBR. Machine Learning and Data Mining in Pattern Recognition (MLDM 2003). LNAI 2734:121-130.
Armengol E, García-Cerdaña A.  2010.  Lazy induction of descriptions using two fuzzy versions of the Rand index. IPMU 2010. 80:396-405.
Armengol E, Plaza E.  2005.  Using Symbolic Similarity to Explain CBR in Classification Task. Fall Symposium. Proceedings AAAI. FS-05-04. :1-9.
Armengol E, Puertas E.  2006.  Improving individual learning capabilities in Multi-Agent Systems. Workshop on Adaptation and Learning in autonomous agents and multi-agent systems. AAMAS-2006.
Armengol E, Plaza E.  2003.  Relational Case-based Reasoning for Cancinogenic Activity Prediction. Artificial Intelligence Review. 20:121-141.
Armengol E, Plaza E.  1997.  Induction of Feature Terms with INDIE. Future Generation Computer Systems Journal. 12:173-188.
Armengol E, Dellunde P, García-Cerdaña A.  2015.  A Logical Study of Local and Global Graded Similarities. Applied Artificial Intelligence. 29:424-444.
Armengol E, García-Cerdaña A.  2012.  Refining Discretizations of Continuous-Valued Attributes. The 9th International Conference on Modeling Decisions for Artificial Intelligence. 7647:258-269.
Armengol E.  2011.  Classification of Melanomas in situ using Knowledge Discovery with Explained CBR. Artificial Intelligence in Medicine. 51:12.
Armengol E, Plaza E.  2004.  Multiple-instance case-based learning for predictive toxicology. Lecture Notes in Computer Science. 3303:206-220.
Armengol E, Ontañón S, Plaza E.  2004.  Explaining Similarity in CBR. Proceedigs of the ECCBR 2004 Workshops. 7th. European Conference on Case-Based Reasoning Madrid, Spain 30th. Augoust- 2nd September 2004. :87-95.
Armengol E, Plaza E.  2005.  Using Symbolic Descriptions to Explain Similarity on CBR. Artificial intelligence research and development (CCIA-2005). :239-246.
Armengol E.  2007.  Discovering plausible explanations of carcinogenenecity in chemical compounds. Lecture Notes in Artificial Intelligence. 4571:756-769.
Armengol E, Esteva F, Godo L, Torra V.  2004.  On learning similarity relations in fuzzy case-based reasoning. Lecture Notes in Computer Science. 3135:14-32.
Armengol E, Dellunde P, García-Cerdaña A.  2016.  On similarity in fuzzy description logics. Fuzzy Sets and Systems. 292:49–74.
Armengol E, Plaza E.  1995.  Integrating induction in a Case-based Reasoner. Lecture Notes in Artificial Intelligence. 984:3-17.
Armengol E, Palaudàries A., Plaza E.  2000.  Raonament basat en Casos per Pronosticar Riscos a Llarg Termini en Pacients amb Diabetis Mellitus. Proceedings of the. :209-218.