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Outputs (62)

On temporally connected graphs of small cost
Presentation / Conference Contribution
Akrida, E., Gasieniec, L., Mertzios, G., & Spirakis, P. (2015, September). On temporally connected graphs of small cost. Presented at 13th Workshop on Approximation and Online Algorithms (WAOA), Patras, Greece

We study the design of small cost temporally connected graphs, under various constraints. We mainly consider undirected graphs of n vertices, where each edge has an associated set of discrete availability instances (labels). A journey from vertex u t... Read More about On temporally connected graphs of small cost.

Ephemeral networks with random availability of links: diameter and connectivity
Presentation / Conference Contribution
Akrida, E., Gasieniec, L., Mertzios, G., & Spirakis, P. (2014, June). Ephemeral networks with random availability of links: diameter and connectivity. Presented at Proceedings of the 26th ACM symposium on Parallelism in algorithms and architectures (SPAA), Prague, Czech Republic

In this work we consider temporal networks, the links of which are available only at random times (randomly available temporal networks). Our networks are {\em ephemeral}: their links appear sporadically, only at certain times, within a given maximum... Read More about Ephemeral networks with random availability of links: diameter and connectivity.

Skew Bisubmodularity & Valued CSPs
Presentation / Conference Contribution
Huber, A., Krokhin, A., & Powell, R. (2013, December). Skew Bisubmodularity & Valued CSPs. Presented at SODA 2013

Monitoring Wild Mammals in County Durham with a Citizen Science Web Platform
Presentation / Conference Contribution
Hsing, P.-Y., Bradley, S., Kent, V., Hill, R., Whittingham, M., & Stephens, P. (2015, December). Monitoring Wild Mammals in County Durham with a Citizen Science Web Platform. Presented at ICCB : 27th International Congress for Conservation Biology, Montpellier, France

Goal oriented personalisation with SCORM
Presentation / Conference Contribution
Power, G., Davis, H. C., Cristea, A. I., Stewart, C., & Ashman, H. (2005, December). Goal oriented personalisation with SCORM. Presented at Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05) IEEE

Adapting for visual and verbal learning styles in AEH
Presentation / Conference Contribution
Brown, E., Stewart, C., & Brailsford, T. (2006, December). Adapting for visual and verbal learning styles in AEH. Presented at Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06) IEEE

Adaptivity, personalization, and the semantic web
Presentation / Conference Contribution
Cristea, A., Stewart, C., & Sirmakessis, S. (2006, December). Adaptivity, personalization, and the semantic web. Presented at Proceedings of the joint international workshop on Adaptivity, personalization \& the Semantic Web ACM

Can Learner Characteristics Predict Their Behaviour on MOOCs?
Presentation / Conference Contribution
Cristea, A. I., Alamri, A., Alshehri, M., Kayama, M., Foss, J., Shi, L., & Stewart, C. D. (2018, December). Can Learner Characteristics Predict Their Behaviour on MOOCs?. Presented at 10th International Conference on Education Technology and Computers - ICETC '18, Tokyo

Stereotyping is the first type of adaptation in education ever proposed. However, the early systems have never dealt with the numbers of learners that current MOOCs provide. Thus, the umbrella question that this work tackles is if learner characteris... Read More about Can Learner Characteristics Predict Their Behaviour on MOOCs?.

CAM: A Combined Attention Model for Natural Language Inference
Presentation / Conference Contribution
Gajbhiye, A., Jaf, S., Al-Moubayed, N., Bradley, S., & McGough, A. S. (2018, December). CAM: A Combined Attention Model for Natural Language Inference. Presented at IEEE International Conference on Big Data., Seattle, WA, USA

Natural Language Inference (NLI) is a fundamental step towards natural language understanding. The task aims to detect whether a premise entails or contradicts a given hypothesis. NLI contributes to a wide range of natural language understanding appl... Read More about CAM: A Combined Attention Model for Natural Language Inference.

Serendipitous learning \& serious games: A Pilot Study
Presentation / Conference Contribution
Gallear, W., Lameras, P., & Stewart, C. (2014, December). Serendipitous learning \& serious games: A Pilot Study. Presented at 2014 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL2014) IEEE

How fast can we reach a target vertex in stochastic temporal graphs?
Presentation / Conference Contribution
Akrida, E. C., Mertzios, G. B., Nikoletseas, S., Christoforos, R., Spirakis, P. G., & Zamaraev, V. (2019, July). How fast can we reach a target vertex in stochastic temporal graphs?. Presented at 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019), Patras, Greece

Temporal graphs are used to abstractly model real-life networks that are inherently dynamic in nature, in the sense that the network structure undergoes discrete changes over time. Given a static underlying graph G=(V,E), a temporal graph on G is a s... Read More about How fast can we reach a target vertex in stochastic temporal graphs?.

Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses
Presentation / Conference Contribution
Cristea, A. I., Alamri, A., Kayama, M., Stewart, C., Alshehri, M., & Shi, L. (2018, August). Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses. Presented at 27th International Conference on Information Systems Development (ISD2018)., Lund, Sweden

Whilst a high dropout rate is a well-known problem in MOOCs, few studies take a data-driven approach to understand the reasons of such a phenomenon, and to thus be in the position to recommend and design possible adaptive solutions to alleviate it. I... Read More about Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses.

" Pluggable" user models for adaptive hypermedia in education.
Presentation / Conference Contribution
Zakaria, M. R., Moore, A., Stewart, C. D., & Brailsford, T. J. (2003, December). " Pluggable" user models for adaptive hypermedia in education. Presented at Conference on Hypertext and Hypermedia: Proceedings of the fourteenth ACM conference on Hypertext and hypermedia

The hybrid model for adaptive educational hypermedia
Presentation / Conference Contribution
Zakaria, M. R., Moore, A., Ashman, H., Stewart, C., & Brailsford, T. (2002, December). The hybrid model for adaptive educational hypermedia. Presented at International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems Springer, Berlin, Heidelberg