MUSED
Outreach
Refereed Publications
- B Agarwal, H. Ramampiaro, H Langseth, M Ruocco, (2018), "A Deep Network Model for Paraphrase Detection in Short Text Messages". In Information Processing & Management Journal (IPM). Elsevier. (In Press).
- W. Alkowaileet, S. Alsubaiee, M. J. Carey, C. Li, H. Ramampiaro, P. Sinthong, and X. Wang, (2018), "End-to-End Machine Learning with Apache AsterixDB". In Proc. of 2nd ACM SIGMOD Workshop on Data Management for End-to-End Machine Learning (DEEM 2018). ACM Press. (To Appear).
- Ö. Özdikis, H. Ramampiaro and K. Nørvåg, (2018), "Locality-adapted Kernel Densities for Tweet Localization". In Proc. of the ACM SIGIR 2018. (To Appear).
- Ø. Repp and H. Ramampiaro, (2018), "Extracting News Events from Microblogs". In Journal of Statistics and Management Systems, 21(4), pp. 695-723. Taylor & Francis.
- Q. H. Duong, H. Ramampiaro, K. Nørvåg, P. Fournier-Viger, and T. L. Dam, (2018). "High Utility Drift Detection in Quantitative Data Streams". Knowledge-Based Systems, 157, pp. 34-51. Elsevier.
- Ö. Özdikis, H. Ramampiaro and K. Nørvåg, (2018), "Spatial Statistics of Term Co-occurrences for Location Prediction of Tweets". In Proc. of the European Conference on Information Retrieval (ECIR 2018), pp 494-506. Springer.
- W. Alkowaileet, S. Alsubaiee, M. J. Carey, C. Li, H. Ramampiaro, P. Sinthong, and X. Wang, (2018), "Enhancing Big Data with Semantics: The AsterixDB Approach (Poster)". In 12th IEEE International Conference on Semantic Computing (ICSC 2018). IEEE Computer Society.
- Q. H. Duong, P. Fournier-Viger, H. Ramampiaro, K. Nørvåg and T. L. Dam, (2017), "Efficient High Utility Itemset Mining using Buffered Utility-Lists". In Applied Intelligence Journal (APIN). Springer (In Press).