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Atserias A, Bonet MLuisa, Levy J.  2003.  On Chvátal Rank and Cutting Planes Proofs. Electronic Colloquium on Computational Complexity. 41:12.
Atencia M.  2011.  Semantic Alignment in the Context of Agent Interaction. Monografies de l'Institut d'Investigació en Intel·ligència Artificial. 46:176.
Atencia M, Schorlemmer M.  2012.  An Interaction-Based Approach to Semantic Alignment. Journal of Web Semantics. 12-13:131-147.
Aslam M, Martinez-Enriquez A.M., Decouchant D., Escalada-Imaz G.  2008.  Work Proximity on Interrelated Coauthoring Production. CollabTech 2008, The Fourth International Conference on Collaboration Technologies. :15-20.
Aslam M, Martínez-Enriquez AMaría, Escalada-Imaz G.  2009.  Collaborative Assistent to Handle MathML Expressions. Intelligent Computer Mathematics. 5625/2009:453-459.
Aslam M, Martinez-Enriquez A.M., Decouchant D., Escalada-Imaz G.  2008.  Proximity and Intelligent Assistance for Web Cooperative Production. IITA 2008, International Symposium on Intelligent Information Technology Application. :1-5.
Ashri R, Payne T, Luck M, Surridge M, Sierra C, Rodríguez-Aguilar JA.  2006.  Using electronic Institutions to Secure Grid Environments. Lecture Notes in Computer Science. :461-475.
Arqué NMartínez, Nettleton DF.  2012.  Analysis of On-line Social Networks Represented as Graphs – Extraction of an Approximation of Community Structure Using Sampling. MDAI 2012. 7647:149-160.
Arora D, Maini P, Blum C, Davidson PPinacho.  2019.  Route Planning for Cooperative Air-Ground Robots with Fuel Constraints: An Approach based on CMSA. Genetic and Evolutionary Computation Conference (GECCO 2019). :207-214.
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.
Armengol E, Plaza E.  2001.  Lazy Induction of Descriptions for Relational Case-Based Learning. Lecture Notes in Artificial Intelligence. 2167:13-24.
Armengol E.  2000.  Explanation-based Learning.
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.  2003.  Relational Case-based Reasoning for Cancinogenic Activity Prediction. Artificial Intelligence Review. 20:121-141.
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, Plaza E.  2005.  An ontological approach to represent molecular structure information. Lecture Notes in Computer Science. Lecture Notes in Bioinformatics. 3745:394-304.
Armengol E, Plaza E.  1994.  A Knowledge Level Model of Knowledge -Based Reasoning. Lecture Notes in Artificial Intelligence. 837:53-64.
Armengol E.  2011.  Classification of Melanomas in situ using Knowledge Discovery with Explained CBR. Artificial Intelligence in Medicine. 51:12.
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, 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.  2007.  Discovering plausible explanations of carcinogenenecity in chemical compounds. Lecture Notes in Artificial Intelligence. 4571:756-769.
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, Plaza E.  1997.  Induction of Feature Terms with INDIE. Future Generation Computer Systems Journal. 12:173-188.
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, García-Cerdaña A.  2015.  A Logical Study of Local and Global Graded Similarities. Applied Artificial Intelligence. 29:424-444.
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.  2012.  Towards a Fuzzy Extension of the López de Mántaras Distance. IPMU 2012. 297:81-90.
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.  2006.  Symbolic explanation of similarities in case-based reasoning. Computing and Informatics. 25:153-171.
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, 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.  2005.  Lazy Learning for Predictive Toxicology based on a Chemical Ontology. Artificial Intelligence Methods and Tools for Systems Biology. :1-18.
Armengol E.  2007.  Usages of Generalization in CBR. Lecture Notes in Artificial Intelligence. :31-45.
Armengol E, Plaza E.  1995.  Integrating induction in a Case-based Reasoner. Lecture Notes in Artificial Intelligence. 984:3-17.
Armengol E.  1998.  A Framework for Integrated Learning and Problem Solving.
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, Puyol-Gruart J.  2015.  A Simple Experiment to Guide the Design of a Preference Model. Artificial Intelligence Research and Development, Proceedings of the 18th International Conference of the Catalan Association for Artificial Intelligence. 277:59-68.
Armengol E, Plaza E.  2004.  Multiple-instance case-based learning for predictive toxicology. Lecture Notes in Computer Science. 3303:206-220.
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.  2005.  Using Symbolic Descriptions to Explain Similarity on CBR. Artificial intelligence research and development (CCIA-2005). :239-246.
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.  2003.  Remembering Similitude Terms in CBR. Machine Learning and Data Mining in Pattern Recognition (MLDM 2003). LNAI 2734:121-130.
Armengol E, Torra V.  2015.  Generalization-Based k-Anonymization. 5861:207-218.
Armengol E, Plaza E.  2000.  Bottom-up induction of feature terms. Machine Learning Journal. 41:259-294.
Armengol E.  1999.  Explanation-based Learning.
Armengol E.  2008.  Building partial domain theories from explanations. Knowledge Intelligence. 2/08:19-24.
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, Plaza E.  1995.  Explanation-based Learning: A Knowledge Level Analysis. AI Review. 9:19-35.
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, Puertas E.  2006.  Learning from cooperation using justifications. Artificial Intelligence Research and Development. :47-54.