Computer Science - 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/

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

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.

Xu, M., Yang, R., Ranshous, S., Li, S., & Samatova, N. F. (2018). Leveraging External Knowledge for Phrase-Based Topic Modeling. Proceedings - 2017 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2017, 29–32. https://doi.org/10.1109/TAAI.2017.25

Yang, R., Xu, M., Jones, P., & Samatova, N. (2018). Real time utility-based recommendation for revenue optimization via an adaptive online Top-K high utility itemsets mining model. ICNC-FSKD 2017 - 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 1859–1866. https://doi.org/10.1109/FSKD.2017.8393050

Yedida, R. (2018). An Introduction to Data Analysis. Presented at the PES University, Bangalore, India.

Yedida, R. (2018). How to design a Flappy Bird game. Presented at the PES University, Bangalore, India.

Yedida, R. (2018). Machine Learning. Presented at the PES University, Bangalore, India.

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.