Journal Articles
| B. Mistry, K. Farrahi, J. Hare Exploring the learning mechanisms of neural division modules TMLR: Transactions on Machine Learning Research: 1-38 (2022) |
| B. Mistry, K. Farrahi, J. Hare A primer for neural arithmetic logic modules Journal of Machine Learning Research 23 (185), 1-58 (2022) |
| E. Valat, K. Farrahi, and T. Blumensath Data-Driven Interpolation for Super-Scare X-Ray Computed Tomography arXiv preprint arXiv:2205.07888 (2022) |
| E. Valat, K. Farrahi, and T. Blumensath Sinogram Enhancement with Generative Adversarial Networks using Shape Priors arXiv preprint arXiv:2202.00419 (2022) |
| J. Ziomek, K. Farrahi Modelling Nonlinear Dependencies in the Latent Space of Inverse Scattering arXiv preprint arXiv:2203.10307 (2022) |
| A. Rusu, R. Emonet, K. Farrahi Modelling digital and manual contact tracing for COVID-19. Are low uptakes and missed contacts deal-breakers? PloS one 16.11 (2021): e0259969 |
| B. Mistry, K. Farrahi, J. Hare Learning Division with Neural Arithmetic Logic Modules arXiv preprint arXiv:2110.05177 (2021) |
| X. Du, K. Farrahi, M. Niranjan Information Bottleneck Theory based Exploration of Cascade Learning Entropy 23.10 (2021): 1360 |
| P. Stumpf, X. Du, et al. Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing Commun Biol 3.1 (2020): 1-11 |
| K. Farrahi, R. Emonet, M. Cebrian Epidemic Contact Tracing via Communication Traces PloS one 9.5 (2014): e95133 |
| K. Farrahi and D. Gatica-Perez A Probabilistic Approach to Mining Mobile Phone Data Sequences Personal and Ubiquitous Computing, 18.1 (2014): 223-238 |
| K. Zia, A. Riener, K. Farrahi, A. Ferscha An Agent-Based Parallel Geo-Simulation of Urban Mobility during City-scale Evacuation Simulation 89.10 (2013): 1184-1214 |
| A. Ferscha, K. Farrahi, J. van den Hoven, D. Hales, A. Nowak, P. Lukowicz, D. Helbing Socio-inspired ICT The European Physical Journal Special Topics, 214.1 (2012): 401-434 |
| A. Madan, M. Cebrian, S. Moturu, K. Farrahi, and A. Pentland Sensing the `Health State` of our Society IEEE Pervasive Computing, 11.4 (2012) |
| K. Farrahi and D. Gatica-Perez Discovering Routines from Large-Scale Human Locations using Probabilistic Topic Models ACM Transactions on Intelligent Systems and Technology, Special Issue on Activity Recognition, 2.1 (2011) |
| K. Farrahi and D. Gatica-Perez Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data IEEE Journal of Selected Topics in Signal Processing, Special Issue on Signal and Information Processing for Social Networks, 4.4 (2010): 746-755 |
Thesis
| K. Farrahi A Probabilistic Approach to Socio-Geographic Reality Mining Ecole Polytechnique Federale de Lausanne, Thèse No. 5018, March 2011 |
Conference Articles
| A. Rusu, K. Farrahi, M. Niranjan Flattening the Curve through Reinforcement Learning Driven Test and Trace Policies Pervasive Health, Thessaloniki, Greece, Dec. 2022 |
| J. Wang, X. Du, K. Farrahi, M. Niranjan Deep Cascade Learning for Optimal Medical Image Feature Representation Machine Learning for Health, Aug. 2022. |
| X. Du, K. Farrahi, M. Niranjan Transfer Learning Across Human Activities Using a Cascade Neural Network Architecture in ISWC, London, UK, Sept 2019 |
| D. Spathis, S. Rodríguez, K. Farrahi, C. Mascolo and J. Rentfrow Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data in KDD, Alaska, USA, Aug 2019 |
| D. Spathis, S. Rodríguez, K. Farrahi, C. Mascolo and J. Rentfrow Passive mobile sensing and psychological traits for large scale mood prediction in Proc. of PervasiveHealth, Trento, Italy, May 2019 |
| A. Milne, K. Farrahi, M. Nicolaou Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics in Int'l Conf. on Discovery Science, Limassol, Cyprus, Oct 2018 |
| F. Alharbi and K. Farrahi A Convolutional Neural Network for Smoking Activity Recognition in IEEE Healthcom, Ostrava, the Czech Republic, Sept 2018 |
| I. Sami and K. Farrahi A Simplified Topological Representation of Text for Local and Global Context in ACMMM, Mountain View, CA, USA, Oct 2017 |
| A. Milne, M. Nicolaou, K. Farrahi Discovering the typing behaviour of Parkinson's patients using topic models in Socinfo, Oxford, UK, Sept 2017 |
| K. Farrahi, R. Emonet, M. Cebrian Predicting a Community’s Flu Dynamics with Mobile Phone Data in CSCW, Vancouver, Canada, March 2015 |
| M. Schedl, D. Hauger, K. Farrahi, M. Tkalcic On the Influence of User Characteristics on Music Recommendation in ECIR, Vienna, Austria, March 2015 |
| K. Farrahi, M. Schedl, A. Vall, D. Hauger, M. Tkalcic Impact of Listening Behavior on Music Recommendation in ISMIR, Taipei Taiwan, Oct 2014 |
| M. Schedl, A. Vall, K. Farrahi User Geospatial Context for Music Recommendation in Microblogs in ACM Special Interest Group On Information Retrieval (SIGIR), Australia, July 2014 |
| K. Farrahi, K. Zia, A. Sharpanskykh, A. Ferscha, L. Muchnik Agent Perception Modeling for Movement in Crowds in Int. Conf. on Practical Applications of Agents and Multi-Agent Systems (PAAMS) Salamanca, May 2013 |
| K. Farrahi, R. Emonet, and A. Ferscha Socio-Technical Network Analysis from Wearable Interactions in Proc. IEEE Int. Symp. on Wearable Computers (ISWC), Newcastle, Jun. 2012 |
| K. Farrahi and D. Gatica-Perez Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model in Proc. IEEE Int. Symp. on Wearable Computers (ISWC), Newcastle, Jun. 2012 Best Paper Award Nominee |
| A. Madan, K. Farrahi, D. Gatica-Perez, and A. Pentland Pervasive Sensing to Model Political Opinions in Face-to-Face Networks in Proc. Int. Conf. on Pervasive Computing (Pervasive), San Francisco, Jun. 2011 |
| K. Farrahi and D. Gatica-Perez Mining Human Location-Routines using a Multi-Level Approach to Topic Modeling in IEEE Int. Conference on Social Computing, Symposium on Social Intelligence and Networking (SocialCom-SIN), Minneapolis, Aug. 2010 |
| K. Farrahi and D. Gatica-Perez Learning and Predicting Multimodal Daily Life Patterns from Cell Phones in Proc. Int. Conf. on Multimodal Interfaces (ICMI-MLMI), Cambridge, Nov. 2009 |
| K. Farrahi and D. Gatica-Perez What Did You Do Today? Discovering Daily Routines from Large-Scale Mobile Data in Proc. ACM Int. Conf. on Multimedia (MM), Vancouver, Oct. 2008 |
| K. Farrahi and D. Gatica-Perez Discovering Human Routines from Cell Phone Data with Topic Models in Proc. IEEE Int. Symposium on Wearable Computers (ISWC), Pittsburgh, Sep. 2008 |
| K. Farrahi and D. Gatica-Perez Daily Routine Classification from Mobile Phone Data in Proc. Workshop on Machine Learning and Multimodal Interaction (MLMI), Utrecht, Sep. 2008 |