Publications

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L
de la Rosa, T., Jiménez, S., and Borrajo, D., Learning Relational Decision Trees for Guiding Heuristic Planning, Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, {ICAPS} 2008, Sydney, Australia, September 14-18, 2008, 2008, pp. 60–67.
Cate, Bten, Dalmau, V., and Kolaitis, P. G., Learning schema mappings, ACM Trans. Database Syst., vol. 38, 2013, p. 28.
Cate, Bten, Dalmau, V., and Kolaitis, P. G., Learning schema mappings, ICDT, 2012, pp. 182-195.
Ognibene, D., Volpi, N., and Pezzulo, G., Learning to grasp information with your own hands, Towards Autonomous Robotic Systems, 2011, pp. 398–399.
Ognibene, D., Pezzulo, G., and Baldassare, G., Learning to look in different environments: an active-vision model which learns and readapts visual routines, From Animals to Animats 11, 2010, pp. 199–210.
Herbort, O., Ognibene, D., Butz, M. V., and Baldassarre, G., Learning to select targets within targets in reaching tasks, Development and Learning, 2007. ICDL 2007. IEEE 6th International Conference on, IEEE, 2007, pp. 7–12.
Jiménez, S., and Turbides, Tde la Rosa, Learning-Based Planning, Encyclopedia of Artificial Intelligence {(3} Volumes), 2009, pp. 1024–1028.
Jonsson, A., Jonsson, P., and Lööw, T., Limitations of Acyclic Causal Graphs for Planning, Artificial Intelligence, vol. 210, 2014, pp. 36-55.
Dalmau, V., Linear datalog and bounded path duality of relational structures, Logical Methods in Computer Science, vol. 1, 2005.
Chen, H., and Dalmau, V., Looking Algebraically at Tractable Quantified Boolean Formulas, SAT, 2004, pp. 71-79.
Gallego, H., Laniado, D., Kaltenbrunner, A., Gómez, V., and Aragón, P., Lost in Re-Election: A Tale of Two Spanish Online Campaigns, Social Informatics: 9th International Conference, SocInfo 2017, Oxford, UK, September 13-15, 2017, Proceedings, Part II, G.Luca Ciampaglia, Mashhadi, A., and Yasseri, T., Cham: Springer International Publishing, 2017, pp. 355–367.
Porco, A., Kaltenbrunner, A., and Gómez, V., Low-rank approximations for predicting voting behaviour, NIPS 2015 Workshop: Networks in the Social and Information Sciences, 2015.
M
Gama, J., Camacho, R., Brazdil, P., Jorge, A., and Torgo, L., Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings, Lecture Notes in Computer Science, vol. 3720, 2005.
Jiménez, S., Fernández, F., and Borrajo, D., Machine Learning of Plan Robustness Knowledge About Instances, Machine Learning: {ECML} 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings, 2005, pp. 609–616.
Bäckström, C., Jonsson, A., and Jonsson, P., Macros, Reactive Plans and Compact Representations, Proceedings of the 20th European Conference on Artificial Intelligence (ECAI'12), 2012, pp. 85-90.
Dalmau, V., and Krokhin, A. A., Majority constraints have bounded pathwidth duality, Eur. J. Comb., vol. 29, 2008, pp. 821-837.
Dalmau, V., and Larose, B., Maltsev + Datalog –$>$ Symmetric Datalog, LICS, 2008, pp. 297-306.
Aragón, P., Gómez, V., and Kaltenbrunner, A., Measuring Platform Effects in Digital Democracy, The Internet, Policy & Politics Conference (IPPC), 2016. measuring-platform-effects.pdf (891.2 KB)
Ognibene, D., Rega, A., and Baldassarre, G., A model of reaching that integrates reinforcement learning and population encoding of postures, From Animals to Animats 9: Proceedings of the Ninth International Conference on the Simulation of Adaptive Behavior (SAB2006), Springer Berlin/Heidelberg, 2006, pp. 381–393.
Albore, A., Alechina, N., Bertoli, P., Ghidini, C., Logan, B., and Serafini, L., Model-Cheching Memory Requirements Of Resource-Bounded Reasoners, Proc. of 21st National Conference on Artificial Intelligence (AAAI-06), Boston, Massachusetts: 2006. Paper AAAI (522.37 KB)
Francès, G., and Geffner, H., Modeling and Computation in Planning: Better Heuristics from More Expressive Languages, 25th International Conference on Automated Planning and Scheduling (ICAPS 2015), 2015.
Kominis, F., and Geffner, H., Multiagent Online Planning with Nested Beliefs and Dialogue, Proceedings of the 27th International Conference on Automated Planning and Scheduling (ICAPS'17), 2017.
N
György, A., and Neu, G., Near-Optimal Rates for Limited-Delay Universal Lossy Source Coding, IEEE Transactions on Information Theory, vol. 60, 2014, pp. 2823–2834.
György, A., and Neu, G., Near-Optimal Rates for Limited-Delay Universal Lossy Source Coding, Proceedings of the {IEEE} International Symposium on Information Theory ({ISIT} 2011), 2011.
Haslum, P., Bonet, B., and Geffner, H., New admissible heuristics for optimal planning, Proc. AAAI-05, 2005.

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