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Research Outputs

  1. 2019
  2. Zhao, Y., Blount, T., Koesten, L., & Simperl, E. (2019). Structured and uncertainty-aware data storytelling. In CHI ?19 Workshop on HCI for Accurate, Impartial and Transparent Journalism: Challenges and Solutions (05/05/19 - 05/05/19) https://eprints.soton.ac.uk/431822/
  3. 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
  4. Elsahar, H., Vougiouklis, P., Remaci, A., Gravier, C., Hare, J., Simperl, E., & Laforest, F. (2019). T-REx: A large scale alignment of natural language with knowledge base triples. In LREC 2018 - 11th International Conference on Language Resources and Evaluation (pp. 3448-3452) https://eprints.soton.ac.uk/417557/
  5. Liu, D., Zhu, G., Zhang, J., & Huang, K. (2019). Wireless Data Acquisition for Edge Learning: Importance-Aware Retransmission. In 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) (pp. 1-5). IEEE Press. https://doi.org/10.1109/SPAWC.2019.8815498
  6. 2018
  7. Raman, A., Sastry, N., Mokari, N., Salehi, M., Faisal, T., Secker, A., & Chandaria, J. (2018). Care to Share? An Empirical Analysis of Capacity Enhancement by Sharing at the Edge. In Proceedings of the MOBICOM Workshop on Technologies for the Wireless Edge (EdgeTech'18)
  8. Emilia, M. K., Gimenez-Garcia, J. M., Piscopo, A., Laura, M. K., Gonzalez, L. I., Tennison, J., & Simperl, E. (2018). Making sense of numerical data - semantic labelling of web tables. In Knowledge Engineering and Knowledge Management (11313). SPRINGER. https://eprints.soton.ac.uk/426723/
  9. Piscopo, A., & Simperl, E. (2018). Who models the world?: Collaborative ontology creation and user roles in Wikidata. In Proceedings of the ACM on Human-Computer Interactions (Vol. 2, pp. 1-18). ACM. https://eprints.soton.ac.uk/423194/
  10. 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
  11. Inel, O., vik, Z. N. S., Haralabopoulos, G., Simperl, E., Li, D., Kanoulas, E., Gysel, C. V., & Aroyo, L. (2018). Studying topical relevance with evidence-based crowdsourcing. In CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management (pp. 1253-1262). ACM. https://eprints.soton.ac.uk/426236/
  12. Kaffee, L-A., Elsahar, H., Vougiouklis, P., Gravier, C., Laforest, F., Hare, J., & Simperl, E. (2018). Mind the (Language) Gap: Generation of Multilingual Wikipedia Summaries from Wikidata for ArticlePlaceholders. In The Semantic Web (Vol. 10843, pp. 319-334). SPRINGER. https://eprints.soton.ac.uk/419727/
  13. Hoffman, M. R., Gonzalez, L. I., Fryer, H., & Simperl, E. (2018). Smart Papers: Dynamic publications on the Blockchain. In The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3?7, 2018, Proceedings (Vol. 10843, pp. 304-318). SPRINGER. https://eprints.soton.ac.uk/422826/
  14. Kaffee, L-A., & Simperl, E. (2018). The human face of the web of data: a cross-sectional study of labels. In SEMANTiCS 2018: 14th International Conference on Semantic Systems (13/09/18) https://eprints.soton.ac.uk/422848/
  15. Granados, A., Mancini, M., Vos, S. B., Lucena, O., Vakharia, V., Rodionov, R., Miserocchi, A., McEvoy, A. W., Duncan, J. S., Sparks, R., & Ourselin, S. (2018). A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 238-246)
  16. Huang, K., Zhu, G., You, C., Zhang, J., Du, Y., & Liu, D. (2018). Communication, Computing, and Learning on the Edge. In IEEE International Conference on Communication Systems, ICCS 2018, Chengdu, China, December 19-21, 2018 (pp. 268-273). IEEE. https://doi.org/10.1109/ICCS.2018.8689229
  17. 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
  18. Kaffee, L-A., Elsahar, H., Vougiouklis, P., Gravier, C., Laforest, F., Hare, J., & Simperl, E. (2018). Learning to generate Wikipedia summaries for underserved languages from Wikidata. In 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (06/06/18) https://eprints.soton.ac.uk/419728/
  19. Ranjan, Y., Kerz, M., Rashid, Z., Böttcher, S., Dobson, R. J. B., & Folarin, A. A. (2018). RADAR-base: A Novel Open Source m-Health Platform. In Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers (pp. 223-226). (UbiComp '18). ACM. https://doi.org/10.1145/3267305.3267579
  20. Kanza, S., Stolz, A., Hepp, M., & Simperl, E. (2018). What does an ontology engineering community look like?: a systematic analysis of the schema.org community. In A. Gangemi (Ed.), The Semantic Web. ESWC 2018 (Vol. 10843, pp. 335-350). SPRINGER. https://eprints.soton.ac.uk/422688/
  21. 2017
  22. Ferraioli, D., & Ventre, C. (2017). Obvious Strategyproofness Needs Monitoring for Good Approximations. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, February 4-9, 2017, San Francisco, California, USA (pp. 516-522) http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14635
  23. 2016
  24. 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
  25. Weill-Tessier, P., Turner, J., & Gellersen, H. (2016). How do you look at what you touch? a study of touch interaction and gaze correlation on tablets. In P. Qvarfordt, & D. W. Hansen (Eds.), Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research Applications, ETRA 2016, Charleston, SC, USA, March 14-17, 2016 (pp. 329-330). ACM. https://doi.org/10.1145/2857491.2888592
  26. Gatti, N., Rocco, M., Serafino, P., & Ventre, C. (2016). Towards Better Models of Externalities in Sponsored Search Auctions. In ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands - Including Prestigious Applications of Artificial Intelligence (PAIS 2016) (pp. 1167-1175) https://doi.org/10.3233/978-1-61499-672-9-1167
  27. Ferraioli, D., Serafino, P., & Ventre, C. (2016). What to Verify for Optimal Truthful Mechanisms without Money. In Proceedings of the 2016 International Conference on Autonomous Agents Multiagent Systems, Singapore, May 9-13, 2016 (pp. 68-76) http://dl.acm.org/citation.cfm?id=2936939
  28. 2015
  29. Ferraioli, D., Ventre, C., & Aranyi, G. (2015). A Mechanism Design Approach to Measure Awareness. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA. (pp. 886-892) http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9452
  30. Gatti, N., Rocco, M., Serafino, P., & Ventre, C. (2015). Cascade Model with Contextual Externalities and Bounded User Memory for Sponsored Search Auctions. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015 (pp. 1831-1832) http://dl.acm.org/citation.cfm?id=2773459
  31. Pissis, S. P., & Retha, A. (2015). Generalised Implementation for Fixed-Length Approximate String Matching under Hamming Distance and Applications. In 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, IPDPS 2015, Hyderabad, India, May 25-29, 2015 (pp. 367-374). IEEE. https://doi.org/10.1109/IPDPSW.2015.106
  32. Krysta, P., Telelis, O., & Ventre, C. (2015). Near-Optimal Approximation Mechanisms for Multi-Unit Combinatorial Auctions. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 (pp. 4275-4281) http://ijcai.org/Abstract/15/608
  33. Fotakis, D., Krysta, P., & Ventre, C. (2015). The Power of Verification for Greedy Mechanism Design. In Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2015, Istanbul, Turkey, May 4-8, 2015 (pp. 307-315) http://dl.acm.org/citation.cfm?id=2772921
  34. 2014
  35. Voinitchi, A., Black, E., & Luck, M. (2014). Towards disrupting teams' plans. In 17th International Workshop on Coordination, Organisations, Institutions and Norms
  36. 2013
  37. Harris, L., Costa, C., Harvey, F., & Earl, G. (2013). Curriculum innovation: living and working on the web. In Enhancement and Innovation in Higher Education, United Kingdom
  38. 2012
  39. Dunn, S., Hedges, M., Jordanous, A., & Storz, C. (2012). Comparing the informatics of text and Cultural Heritage: the SAWS project. In Proceedings of Computer Applications and Quantitative Methods in Archaeology, Southampton, UK
  40. Balasubramanian, M., Brennan, D. S., Spencer, A. J., & Short, S. D. (2012). Development of a 'life-story'qualitative interviewing technique for a study on international dental graduates in Australia. In Public Health Association of Australia Conference
  41. 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
  42. Balasubramanian, M. (2012). Indian trained dentists in Australia: findings from two qualitative studies. In Australasian College of Health Service Management Congress
  43. Flouri, T., Iliopoulos, C. S., Kociumaka, T., Pissis, S. P., Puglisi, S. J., Smyth, W. F., & Tyczynski, W. (2012). New and efficient approaches to the quasiperiodic characterisation of a string. In Proceedings of the Prague Stringology Conference (PSC 2012) (pp. 75-88). Czech Technical University in Prague.
  44. 2011
  45. Blanke, T., Bryant, M., Hedges, M., Aschenbrenner, A., & Priddy, M. (2011). Preparing DARIAH. In IEEE 7th International Conference on E-Science (e-Science), 2011 (pp. 158-165). IEEE.
  46. 2010
  47. Ibrahim, Z. M., Tawfik, A. Y., & Ngom, A. (2010). A Surprise-Based Qualitative Probability Calculus II. In Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, FLAIRS
  48. Ibrahim, Z. M., Ngom, A., & Tawfik, A. Y. (2010). A dynamic qualitative probabilistic network approach for extracting gene regulatory network motifs. In Bioinformatics and Biomedicine (BIBM), 2010 IEEE International Conference on (pp. 380-385)
  49. Jordanous, A. (2010). A fitness function for creativity in jazz improvisation and beyond. In Proceedings of the International Conference on Computational, ICCC-X, Creativity, 7-9 January 2010, Lisbon, Portugal (N/A ed., Vol. N/A, pp. 223-227). Department of Informatics Engineering, University of Coimbra.
  50. Iliopoulos, C. S., Okanlawon, T. A., Pissis, S. P., & Tischler, G. (2010). Mapping short reads to a genomic sequence with circular structure. In Information Technology and Applications in Biomedicine (ITAB), 2010 10th IEEE International Conference (pp. 1-4) https://doi.org/10.1109/ITAB.2010.5687792
  51. Ibrahim, Z. M., Tawfik, A. Y., & Ngom, A. (2010). Qualitative Hidden Markov Models for Classifying Gene Expression Data. In Research and Development in Intelligent Systems XXV: Proceedings of AI-2008, The Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (Vol. 25, pp. 47-50)
  52. 2009
  53. Ibrahim, Z. M., Tawfik, A. Y., & Ngom, A. (2009). A Surprise-based Qualitative Calculus. In Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, FLAIRS
  54. Balasubramanian, M., & Short, S. D. (2009). Brain drain, brain circulation and brain exportation: a case of Indian dentists migrating to Australia. In International Sociological Conference: Health for All RC 15
  55. Ibrahim, Z. M., Tawfik, A. Y., & Ngom, A. (2009). Qualitative Motif Detection in Gene Regulatory Networks. In The International IEEE Conference on Bioinformatics and Biomedicine (pp. 124-129)
  56. Ibrahim, Z. M., Tawfik, A. Y., & Ngom, A. (2009). Surprise-Based Qualitative Probabilistic Networks. In Symbolic and Quantitative Approaches to Reasoning with Uncertainty (pp. 228-239). Springer/Kluwer.
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