The University of Southampton

Publications

Farrahi, Katayoun (2011) A probabilistic approach to socio-geographic reality mining. Ecole Polytechnique Fédérale de Lausanne EPFL, Doctoral Thesis, 138pp.

Milne, Antony, Nicolaou, Mihalis and Farrahi, Katayoun (2017) Discovering the typing behaviour of Parkinson's patients using topic models. Ciampaglia, G., Mashhadi, A. and Yasseri, T. (eds.) In Social Informatics: SocInfo 2017. vol. 10540, Springer. pp. 89-97.

Farrahi, Katayoun and Gatica-Perez, Daniel (2014) A probabilistic approach to mining mobile phone data sequences. Personal and Ubiquitous Computing, 18 (1), 223-238. (doi:10.1007/s00779-013-0640-8).

Sami, Ishrat and Farrahi, Katayoun (2017) A simplified topological representation of text for local and global context. In MM '17 Proceedings of the 2017 ACM on Multimedia Conference. ACM. pp. 1451-1456. (doi:10.1145/3123266.3123330).

Farrahi, Katayoun, Emonet, Remi and Cebrian, Manuel (2015) Predicting a community’s flu dynamics with mobile phone data. In CSCW '15 Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing. ACM.. (doi:10.1145/2675133.2675237).

Farrahi, Katayoun, Emonet, Remi and Cebrian, Manuel (2014) Epidemic contact tracing via communication traces. PLoS ONE, 9 (5), 1-11. (doi:10.1371/journal.pone.0095133).

Madan, Anmol, Cebrian, Manuel, Moturu, Sai, Farrahi, Katayoun and Pentland, Alex (Sandy) (2012) Sensing the 'Health State' of a community. IEEE Pervasive Computing, 11 (4), 36 - 45. (doi:10.1109/MPRV.2011.79).

Ferscha, Alois, Farrahi, Katayoun, van den Hoven, J., Hales, D., Nowak, A., Lukowicz, Paul and Helbing, Dirk (2012) Socio-inspired ICT. European Physical Journal - Special Topics, 214 (1), 401-434. (doi:10.1140/epjst/e2012-01700-6).

Zia, Kashif, Farrahi, Katayoun, Riener, Andreas and Ferscha, Alois (2013) An agent-based parallel geo-simulation of urban mobility during city-scale evacuation. Simulation, 89 (10), 1184-1214. (doi:10.1177/0037549713485468).

Farrahi, Katayoun and Gatica-Perez, Daniel (2010) Probabilistic mining of socio-geographic routines from mobile phone data. IEEE Journal of Selected Topics in Signal Processing, 4 (4), 746 - 755. (doi:10.1109/JSTSP.2010.2049513).

Farrahi, Katayoun and Gatica-Perez, Daniel (2011) Discovering routines from large-scale human locations using probabilistic topic models. ACM Transactions on Intelligent Systems and Technology, 2 (1). (doi:10.1145/1889681.1889684).

Farrahi, Katayoun, Schedl, Markus, Vall, Andreu, Hauger, David and Tkalcic, Marko (2014) Impact of listening behavior on music recommendation. In International Society for Music Information Retrieval. 6 pp, pp. 1-6.

Schedl, Markus, Hauger, David, Farrahi, Katayoun and Tkalcic, Marko (2015) On the influence of user characteristics on music recommendation. Hanbury, A., Kazai, G., Rauber, A. and Fuhr, N. (eds.) In European Conference on Information Retrieval. Springer. pp. 339-345. (doi:10.1007/978-3-319-16354-3_37).

Farrahi, Katayoun and Gatica-Perez, Daniel (2012) Extracting mobile behavioral patterns with the distant N-Gram topic model. In 2012 16th International Symposium on Wearable Computers (ISWC). IEEE. 8 pp.

Farrahi, Katayoun, Emonet, Remi and Ferscha, Alois (2012) Socio-technical network analysis from wearable interactions. In 2012 16th International Symposium on Wearable Computers (ISWC). IEEE. 8 pp. (doi:10.1109/ISWC.2012.19).

Schedl, Markus, Vall, Andreu and Farrahi, Katayoun (2014) User geospatial context for music recommendation in microblogs. In SIGIR '14 Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval: ACM Special Interest Group On Information Retrieval. ACM. 4 pp. (doi:10.1145/2600428.2609491).

Alharbi, Fayez and Farrahi, Katayoun (2018) A convolutional neural network for smoking activity recognition. In IEEE HEALTHCOM 2018 Conference Proceedings. IEEE..

Milne, Antony, Farrahi, Katayoun and Nicolaou, Mihalis (2018) Less is more: Univariate modelling to detect early Parkinson’s disease from keystroke dynamics. In Discovery Science. Springer. pp. 435-446. (doi:10.1007/978-3-030-01771-2_28).

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