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Research Outputs

  1. 2019
  2. Koesten, L., Tennison, J., Kacprzak, E., & Simperl, E. (2019). Collaborative practices with structured data: do tools support what users need? In CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-14). ACM. https://doi.org/10.1145/3290605.3300330
  3. 2018
  4. Helal, A., Brookhouse, J., & Otero, F. E. B. (2018). Archive-Based Pheromone Model for Discovering Regression Rules with Ant Colony Optimization. In 2018 IEEE Congress on Evolutionary Computation (pp. 1-7). IEEE. https://doi.org/10.1109/CEC.2018.8477643
  5. Weill-Tessier, P., & Gellersen, H. (2018). Correlation between gaze and hovers during decision-making interaction. In B. Sharif, & K. Krejtz (Eds.), Proceedings of the 2018 ACM Symposium on Eye Tracking Research Applications, ETRA 2018, Warsaw, Poland, June 14-17, 2018 (pp. 1-5). [5] ACM. https://doi.org/10.1145/3204493.3204567
  6. 2016
  7. Helal, A., & Otero, F. E. B. (2016). A Mixed-Attribute Approach in Ant-Miner Classification Rule Discovery Algorithm. In Genetic and Evolutionary Computation Conference (GECCO 2016) (pp. 13-20). ACM Press. https://doi.org/10.1145/2908812.2908900
  8. 2012
  9. Jordanous, A., Lawrence, K. F., Hedges, M., & Tupman, C. (2012). Exploring manuscripts: sharing ancient wisdoms across the semantic web. In Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics (pp. 44) https://dl.acm.org/authorize?N19491

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