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Results: 217,963
Number of items: 217,963
  • Besold, T. R., d'Avila Garcez, A., Stenning, K., van der Torre, L., & van Lambalgen, M. (2017). Reasoning in Non-probabilistic Uncertainty: Logic Programming and Neural-Symbolic Computing as Examples. Minds and Machines, 27(1), 37-77. https://doi.org/10.1007/s11023-017-9428-3
  • Zeevat, H., Grimm, S., Hogeweg, L., Lestrade, S., & Allyn Smith, E. (2017). Representing the lexicon: Identifying meaning in use via overspecification. In K. Balogh, & W. Petersen (Eds.), Bridging formal and conceptual semantics: selected papers of BRIDGE-14 (pp. 153-186). DUP.
  • Alberink, I., Bolck, A., Sjerps, M., & Vergeer, P. (2017). Comment to “A guideline for the validation of likelihood ratio methods used for forensic evidence evaluation”. Forensic Science International, 276, 154. https://doi.org/10.1016/j.forsciint.2017.03.011
  • Leegwater, A. J., Meuwly, D., Sjerps, M. J., Vergeer, P., & Alberink, I. (2017). Performance Study of a Score-based Likelihood Ratio System for Forensic Fingermark Comparison. Journal of Forensic Sciences, 62(3), 626-640. https://doi.org/10.1111/1556-4029.13339
  • de Zoete, J., Sjerps, M., & Meester, R. (2017). Evaluating evidence in linked crimes with multiple offenders. Science & justice, 57(3), 228-238. https://doi.org/10.1016/j.scijus.2017.01.003
  • Aziz, H., de Haan, R., & Rastegari, B. (2017). Pareto Optimal Allocation under Uncertain Preferences. In S. Das, E. Durfee, K. Larson, & M. Winikoff (Eds.), AAMAS '17: proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems : May, 8-12, 2017, São Paulo, Brazil (Vol. 3, pp. 1472-1474 ). International Foundation for Autonomous Agents and Multiagent Systems. https://dl.acm.org/citation.cfm?id=3091333
  • Berner, J., Achatz, U., Batté, L., Bengtsson, L., de la Cámara, A., Christensen, H. M., Colangeli, M., Coleman, D. R. B., Crommelin, D., Dolaptchiev, S. I., Franzke, C. L. E., Friederichs, P., Imkeller, P., Järvinen, H., Juricke, S., Kitsios, V., Lott, F., Lucarini, V., Mahajan, S., ... Yano, J.-I. (2017). Stochastic Parameterization: Toward a New View of Weather and Climate Models. Bulletin of the American Meteorological Society, 98(3), 565-587. https://doi.org/10.1175/BAMS-D-15-00268.1
  • Rice, T. M., Robinson, N. J., & Tsvelik, A. M. (2017). Umklapp scattering as the origin of T-linear resistivity in the normal state of high-T-c cuprate superconductors. Physical Review B, 96(1), Article 220502(R). https://doi.org/10.1103/PhysRevB.96.220502
  • Dorn, B., de Haan, R., & Schlotter, I. (2017). Obtaining a Proportional Allocation by Deleting Items. In J. Röthe (Ed.), Algorithmic Decision Theory: 5th International Conference, ADT 2017, Luxembourg, Luxembourg, October 25–27, 2017 : proceedings (pp. 284-299). (Lecture Notes in Computer Science; Vol. 10576), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-319-67504-6_20
  • de Haan, R., Kanj, I., & Szeider, S. (2017). On the Parameterized Complexity of Finding Small Unsatisfiable Subsets of CNF Formulas and CSP Instances. ACM Transactions on Computational Logic, 18(3), Article 21. https://doi.org/10.1145/3091528
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