Biblio

Found 1549 results
2013
Reisenzein, R. et al., 2013. Computational Modeling of Emotion: Toward Improving the Inter- and Intradisciplinary Exchange. Affective Computing, IEEE Transactions on, 4, pp.246-266.
Kort, J. et al., 2013. Connected media and presence. 2nd international workshop on Socially-aware multimedia, pp.43-48. Available at: http://dl.acm.org/citation.cfm?id=2509929.
Brinkman, W.-P., 2013. Current and future research directions in mental health computing. In International conference on computation and communication advancement. International conference on computation and communication advancement. McGraw-Hill, p. xvii-xxi. Available at: http://ii.tudelft.nl/sites/default/files/IC3A_Brinkman.pdf.
Baarslag, T., 2013. Designing an Automated Negotiator: Learning What to Bid and When to Stop. In Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems. Proceedings of the 12th International Conference on Autonomous Agents and Multiagent Systems. Saint Paul, Minnesota, USA: International Foundation for Autonomous Agents and Multiagent Systems, pp. 1419–1420. Available at: http://ii.tudelft.nl/sites/default/files/designing-an-automated-negotiator-pub.pdf.
Suson, A.Camelia, Tatomir, B. & Rothkrantz, L.J.M., 2013. Dynamic routing using Ant Based Control. Proceedings of the 11th European Transport Congress, pp.255-266.
Qu, C. et al., 2013. The effect of priming pictures and videos on a question-answer dialog scenario in a virtual environment. Presence: Teleoperators and Virtual Environments, 22, pp.91-109.
Shi, Y. et al., 2013. Exploiting the succeeding words in Recurrent Neural Network Language Models. In Interspeech(accepted). Interspeech(accepted). 2013. Lyon, France: ISCA. Available at: http://www.isca-speech.org/archive/interspeech_2013/i13_0632.html.
Jonker, C.M. & Treur, J., 2013. A Formal Approach to Building Compositional Agent-Based Simulation. In B. Edmonds & Meyer, R. Simulating Social Complexity. Simulating Social Complexity. Berlin Heidelberg: Springer-Verlag, pp. 57-94. Available at: http://ii.tudelft.nl/sites/default/files/Jonker_Formal approach b.chapter 2013.pdf.
Visser, W., Hindriks, K.V. & Jonker, C.M., 2013. Goal-Based Qualitative Preference Systems. In M. Baldoni et al. Declarative Agent Languages and Technologies X. Declarative Agent Languages and Technologies X. Valencia, Spain: Springer Berlin Heidelberg, pp. 153-169. Available at: http://ii.tudelft.nl/sites/default/files/Visser_Goal-Based Qualitative 2013.pdf.
Aydogan, R. et al., 2013. Heuristic-based Approaches for CP-Nets in Negotiation. In T. Ito et al. Complex Automated Negotiations: Theories, Models, and Software Competitions. Complex Automated Negotiations: Theories, Models, and Software Competitions. Springer Berlin / Heidelberg, pp. 113-123. Available at: http://ii.tudelft.nl/sites/default/files/Heuristic-Based Approaches for CP-Nets in Negotiation-pub.pdf.
Jonker, C.M. & Nelis, A., 2013. Human Robots and Robotic Humans. In B. J. Koop et al. Engineering the Human. Engineering the Human. Springer Berlin Heidelberg: Springer, pp. 83- 100. Available at: http://ii.tudelft.nl/sites/default/files/Jonker_Human robots b.chapter 2013.pdf.
Noroozian, A., de Weerdt, M. & Witteveen, C., 2013. Incentivizing Cooperation in P2P File Sharing. In Agents and Data Mining Interaction. Agents and Data Mining Interaction. Springer Berlin Heidelberg, pp. 36-50. Available at: http://ii.tudelft.nl/sites/default/files/ADMI_ICiPS.pdf.
Cidota, M.A., Datcu, D. & Rothkrantz, L.J.M., 2013. The influence of the sampling frequency of a video recording on a heart-rate detection algorithm. ICPRAM 2013 The International Conference on Pattern Recognition Applications and Methods.
Shi, Y. et al., 2013. K-component Adaptive Recurrent Neural Network Language Models. In Text, Speech and Dialogue(accepted). Text, Speech and Dialogue(accepted). Pilsen, Czech Republic: Springer Berlin Heidelberg. Available at: http://ii.tudelft.nl/sites/default/files/Shi_K-component adaptive 2013.pdf.
Shi, Y., Larson, M.A. & Jonker, C.M., 2013. K-Component Recurrent Neural Network Language Models Using Curriculum Learning. In IEEE Automatic Speech Recognition and Understanding (ASRU). IEEE Automatic Speech Recognition and Understanding (ASRU). 2013. IEEE. Available at: http://ii.tudelft.nl/sites/default/files/Shi _ K-comp 2013.pdf.

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