Discovering human routines from cell phone data with topic models. - Katayoun Farrahi; Daniel Gatica-Perez (ISWC, 2008)

Daily Routine Classification from Mobile Phone Data. - Katayoun Farrahi; Daniel Gatica-Perez (MLMI, 2008)

What did you do today?: discovering daily routines from large-scale mobile data. - Katayoun Farrahi; Daniel Gatica-Perez (ACM Multimedia, 2008)

Learning and predicting multimodal daily life patterns from cell phones. - Katayoun Farrahi; Daniel Gatica-Perez (ICMI, 2009)

Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling. - Katayoun Farrahi; Daniel Gatica-Perez (SocialCom/PASSAT, 2010)

Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data. - Katayoun Farrahi; Daniel Gatica-Perez (IEEE J. Sel. Top. Signal Process., 2010)

Pervasive Sensing to Model Political Opinions in Face-to-Face Networks. - Anmol Madan; Katayoun Farrahi; Daniel Gatica-Perez; Alex Pentland (Pervasive, 2011)

Discovering routines from large-scale human locations using probabilistic topic models. - Katayoun Farrahi; Daniel Gatica-Perez (ACM Trans. Intell. Syst. Technol., 2011)

A Probabilistic Approach to Socio-Geographic Reality Mining. - Katayoun Farrahi (2011)

Socio-Technical Network Analysis from Wearable Interactions. - Katayoun Farrahi; Rémi Emonet; Alois Ferscha (ISWC, 2012)

Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model. - Katayoun Farrahi; Daniel Gatica-Perez (ISWC, 2012)

A New Opportunity to Urban Evacuation Analysis: Very Large Scale Simulations of Social Agent Systems in Repast HPC. - Kashif Zia; Andreas Riener; Katayoun Farrahi; Alois Ferscha (PADS, 2012)

Sensing the "Health State" of a Community. - Anmol Madan; Manuel Cebrián; Sai T. Moturu; Katayoun Farrahi; Alex Pentland (IEEE Pervasive Comput., 2012)

Topic models towards high performance data mining and analysis. - Katayoun Farrahi; Alois Ferscha (HPCS, 2013)

Agent Perception Modeling for Movement in Crowds. - Katayoun Farrahi; Kashif Zia; Alexei Sharpanskykh; Alois Ferscha; Lev Muchnik (PAAMS, 2013)

Parallel and Distributed Simulation of Large-Scale Cognitive Agents. - Kashif Zia; Katayoun Farrahi; Alexei Sharpanskykh; Alois Ferscha; Lev Muchnik (PAAMS, 2013)

Socio-inspired ICT - Towards a socially grounded society-ICT symbiosis - Alois Ferscha; Katayoun Farrahi; Jeroen van den Hoven; David Hales; Andrzej Nowak; Paul Lukowicz; Dirk Helbing (CoRR, 2013)

An agent-based parallel geo-simulation of urban mobility during city-scale evacuation. - Kashif Zia; Katayoun Farrahi; Andreas Riener; Alois Ferscha (Simul., 2013)

Impact of Listening Behavior on Music Recommendation. - Katayoun Farrahi; Markus Schedl; Andreu Vall; David Hauger; Marko Tkalcic (ISMIR, 2014)

User geospatial context for music recommendation in microblogs. - Markus Schedl; Andreu Vall; Katayoun Farrahi (SIGIR, 2014)

A probabilistic approach to mining mobile phone data sequences. - Katayoun Farrahi; Daniel Gatica-Perez (Pers. Ubiquitous Comput., 2014)

Predicting a Community's Flu Dynamics with Mobile Phone Data. - Katayoun Farrahi; Rémi Emonet; Manuel Cebrián (CSCW, 2015)

On the Influence of User Characteristics on Music Recommendation Algorithms. - Markus Schedl; David Hauger; Katayoun Farrahi; Marko Tkalcic (ECIR, 2015)

A Simplified Topological Representation of Text for Local and Global Context. - Ishrat Rahman Sami; Katayoun Farrahi (ACM Multimedia, 2017)

Discovering the Typing Behaviour of Parkinson's Patients Using Topic Models. - Antony Milne; Mihalis Nicolaou; Katayoun Farrahi (SocInfo (2), 2017)

Trust reality-mining: evidencing the role of friendship for trust diffusion. - Katayoun Farrahi; Kashif Zia (Hum. centric Comput. Inf. Sci., 2017)

Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics. - Antony Milne; Katayoun Farrahi; Mihalis A. Nicolaou (DS, 2018)

A Convolutional Neural Network for Smoking Activity Recognition. - Fayez Alharbi; Katayoun Farrahi (HealthCom, 2018)

Transfer learning across human activities using a cascade neural network architecture. - Xin Du; Katayoun Farrahi; Mahesan Niranjan (UbiComp, 2019)

Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data. - Dimitris Spathis; Sandra Servia Rodríguez; Katayoun Farrahi; Cecilia Mascolo; Jason Rentfrow (KDD, 2019)

Passive mobile sensing and psychological traits for large scale mood prediction. - Dimitris Spathis; Sandra Servia Rodríguez; Katayoun Farrahi; Cecilia Mascolo; Jason Rentfrow (PervasiveHealth, 2019)

Learning Division with Neural Arithmetic Logic Modules. - Bhumika Mistry; Katayoun Farrahi; Jonathon S. Hare (CoRR, 2021)

Information Bottleneck Theory Based Exploration of Cascade Learning. - Xin Du; Katayoun Farrahi; Mahesan Niranjan (Entropy, 2021)

Deep Cascade Learning for Optimal Medical Image Feature Representation. - Junwen Wang; Xin Du; Katayoun Farrahi; Mahesan Niranjan (MLHC, 2022)

Flattening the Curve Through Reinforcement Learning Driven Test and Trace Policies. - Andrei C. Rusu; Katayoun Farrahi; Mahesan Niranjan (PervasiveHealth, 2022)

Sinogram Enhancement with Generative Adversarial Networks using Shape Priors. - Emilien Valat; Katayoun Farrahi; Thomas Blumensath (CoRR, 2022)

Modelling nonlinear dependencies in the latent space of inverse scattering. - Juliusz Ziomek; Katayoun Farrahi (CoRR, 2022)

Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography. - Emilien Valat; Katayoun Farrahi; Thomas Blumensath (CoRR, 2022)

Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity. - Bhumika Mistry; Katayoun Farrahi; Jonathon S. Hare (CoRR, 2022)

A Primer for Neural Arithmetic Logic Modules. - Bhumika Mistry; Katayoun Farrahi; Jonathon S. Hare (J. Mach. Learn. Res., 2022)

Exploring the Learning Mechanisms of Neural Division Modules. - Bhumika Mistry; Katayoun Farrahi; Jonathon S. Hare (Trans. Mach. Learn. Res., 2022)

EarComp 2023: Fourth International Workshop on Earable Computing. - Andrea Ferlini; Alessandro Montanari; Nirupam Roy; Katayoun Farrahi (UbiComp/ISWC Adjunct, 2023)

Cascade Learning Localises Discriminant Features in Visual Scene Classification. - Junwen Wang; Katayoun Farrahi (CoRR, 2023)

ST2S-rPPG: A Spatiotemporal Two-Stage Learning Approach for Pulse Estimation Using Video. - Eirini Kateri; Katayoun Farrahi (ML4H@NeurIPS, 2024)

OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. - Julia Romero; Andrea Ferlini; Dimitris Spathis; Ting Dang; Katayoun Farrahi; Fahim Kawsar; Alessandro Montanari (HotMobile, 2024)

SynthFormer: Equivariant Pharmacophore-based Generation of Molecules for Ligand-Based Drug Design. - Zygimantas Jocys; Henriëtte M. G. Willems; Katayoun Farrahi (CoRR, 2024)

EpiCURB: Learning to Derive Epidemic Control Policies. - Andrei C. Rusu; Katayoun Farrahi; Mahesan Niranjan (IEEE Pervasive Comput., 2024)

Representation transfer and data cleaning in multi-views for text simplification. - Wei He 017; Katayoun Farrahi; Bin Chen; Bohua Peng; Aline Villavicencio (Pattern Recognit. Lett., 2024)

Beyond the Surface of Digital Contact Tracing: Delving into the Interconnected World of Technology, Individuals, and Society. - Jiejun Hu; Katayoun Farrahi; Manuel Cebrián (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Special Issue on Biosensing. - Katayoun Farrahi; Tanaya Guha (IEEE Pervasive Comput., 2025)