Computer Science - 2018

Akram, B., Min, W., Wiebe, E., Mott, B., Boyer, K. E., & Lester, J. (2018). Improving stealth assessment in game-based learning with LSTM-based analytics. Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018.

Battestilli, L. (2018). Exam Wrappers and Grades with Context. Presented at the NCSU DELTA Summer Shorts in Instructional Technologies Workshops, Raleigh, NC.

Christie, S. H., V, Chopra, A. K., & Singh, M. P. (2018). Compositional Correctness in Multiagent Interactions. Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 1159–1167. Retrieved from https://eprints.lancs.ac.uk/id/eprint/123578/

HSDRAN: Hierarchical Software-Defined Radio Access Network for Distributed Optimization. (2018). IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2017.2691735

Healey, C. G., Leeman-Munk, S. P., Nie, S., Padia, K., Devarajan, R., Caira, D. J., … others. (2018, April). Visualizing deep neural networks. Google Patents.

Jiang, J., Chirkova, R., Doyle, J., & Rosenthal, A. (2018). An Expressive, Flexible and Uniform Logical Formalism for Attribute-based Access Control. In L. Jia & C. Morisset (Eds.), Workshop on Foundations of Computer Security (FCS 2018).

Leeman-Munk, S. P., Sethi, S., Healey, C. G., Nie, S., Padia, K., Devarajan, R., … others. (2018, August). Interactive visualizations of a convolutional neural network.

Matsuda, N. (2018). The State-of-the-Art Pedagogical Agent Technology in the Field of Learning Science. Transactions of Japanese Society for Information and Systems in Education, 35(1), 13–20. Retrieved from https://doi.org/10.14926/jsise.35.13

Paassen, B., Hammer, B., Price, T. W., Barnes, T., Gross, S., & Pinkwart, N. (2018). The Continuous Hint Factory - Providing Hints in Vast and Sparsely Populated Edit Distance Spaces. Journal of Educational Data Mining, 10(1), 1–35. https://doi.org/https://doi.org/10.5281/zenodo.3554697

Padia, K., Bandara, K. H., & Healey, C. G. (2018). Yarn: Generating Storyline Visualizations Using HTN Planning. Proceedings of Graphics Interface 2018, 17–24.

Perros, H., Papapanagiotou, I., & Pujolle, G. (2018). Cloud communications and networking. Annals of Telecommunications, 73(3-4), 165–167. https://doi.org/10.1007/S12243-018-0630-Y

Scalable Exploratory Search on Knowledge Graphs Using Apache Spark. (2018). 2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE). https://doi.org/10.1109/wetice.2018.00036

The Fog of Things Paradigm: Road toward On-Demand Internet of Things. (2018, September). IEEE Communications Magazine. https://doi.org/10.1109/mcom.2018.1701140

Transmitting and Sharing: A Truthful Double Auction for Cognitive Radio Networks. (2018). 2018 IEEE International Conference on Communications (ICC). https://doi.org/10.1109/icc.2018.8422505

Tsan, J., Lynch, C. F., & Boyer, K. E. (2018). “Alright, what do we need?”: A study of young coders’ collaborative dialogue. International Journal of Child-Computer Interaction, 17, 61–71. https://doi.org/10.1016/J.IJCCI.2018.03.001

Verhagen, H., Neumann, M., & Singh, M. P. (2018). Normative Multiagent Systems: Foundations and History. In A. Chopra, L. van der Torre, H. Verhagen, & S. Villata (Eds.), Handbook of Normative Multiagent Systems (pp. 3–25). London: College Publications.

Wang, P., Rowe, J., Min, W., Mott, B., & Lester, J. (2018). High-fidelity simulated players for interactive narrative planning. IJCAI International Joint Conference on Artificial Intelligence, 2018-July, 3884–3890.

Wiggins, J. B., Kulkarni, M., Min, W., Boyer, K. E., Mott, B., Wiebe, E., & Lester, J. (2018). User affect and no-match dialogue scenarios: An analysis of facial expression. Proceedings of the 4th Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction, MA3HMI 2018 - In conjunction with ICMI 2018, 6–14. https://doi.org/10.1145/3279972.3279979

Wiggins, J. B., Kulkarni, M., Min, W., Mott, B., Boyer, K. E., Wiebe, E., & Lester, J. (2018). Affect-based early prediction of player mental demand and engagement for educational games. Proceedings of the 14th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2018, 243–249.

Zhi, R., Price, T. W., Lytle, N., Dong, Y., & Barnes, T. (2018). Reducing the State Space of Programming Problems through Data-Driven Feature Detection. Education Data Mining Workshop.