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ORCIDKatayoun Farrahi
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2020 – today
- 2024
[j12]Andrei C. Rusu
, Katayoun Farrahi, Mahesan Niranjan:
EpiCURB: Learning to Derive Epidemic Control Policies. IEEE Pervasive Comput. 23(1): 57-62 (2024)- [j11]Wei He, Katayoun Farrahi, Bin Chen, Bohua Peng, Aline Villavicencio:
Representation transfer and data cleaning in multi-views for text simplification. Pattern Recognit. Lett. 177: 40-46 (2024) - [j10]Jiejun Hu, Katayoun Farrahi, Manuel Cebrián:
Beyond the Surface of Digital Contact Tracing: Delving into the Interconnected World of Technology, Individuals, and Society. IEEE Trans. Syst. Man Cybern. Syst. 54(10): 6332-6344 (2024) - [c27]Julia Romero, Andrea Ferlini, Dimitris Spathis, Ting Dang, Katayoun Farrahi, Fahim Kawsar, Alessandro Montanari:
OptiBreathe: An Earable-based PPG System for Continuous Respiration Rate, Breathing Phase, and Tidal Volume Monitoring. HotMobile 2024: 99-106 - [i9]Zygimantas Jocys, Henriëtte M. G. Willems, Katayoun Farrahi:
SynthFormer: Equivariant Pharmacophore-based Generation of Molecules for Ligand-Based Drug Design. CoRR abs/2410.02718 (2024) - 2023
- [c26]Andrea Ferlini, Alessandro Montanari, Nirupam Roy, Katayoun Farrahi:
EarComp 2023: Fourth International Workshop on Earable Computing. UbiComp/ISWC Adjunct 2023: 798-801 - [i8]Junwen Wang, Katayoun Farrahi:
Cascade Learning Localises Discriminant Features in Visual Scene Classification. CoRR abs/2311.12704 (2023) - 2022
- [j9]Bhumika Mistry, Katayoun Farrahi, Jonathon S. Hare:
A Primer for Neural Arithmetic Logic Modules. J. Mach. Learn. Res. 23: 185:1-185:58 (2022) - [j8]Bhumika Mistry, Katayoun Farrahi, Jonathon S. Hare:
Exploring the Learning Mechanisms of Neural Division Modules. Trans. Mach. Learn. Res. 2022 (2022) - [c25]Junwen Wang, Xin Du, Katayoun Farrahi, Mahesan Niranjan:
Deep Cascade Learning for Optimal Medical Image Feature Representation. MLHC 2022: 54-78 - [c24]Andrei C. Rusu, Katayoun Farrahi, Mahesan Niranjan:
Flattening the Curve Through Reinforcement Learning Driven Test and Trace Policies. PervasiveHealth 2022: 174-206 - [i7]Emilien Valat, Katayoun Farrahi, Thomas Blumensath:
Sinogram Enhancement with Generative Adversarial Networks using Shape Priors. CoRR abs/2202.00419 (2022) - [i6]Juliusz Ziomek, Katayoun Farrahi:
Modelling nonlinear dependencies in the latent space of inverse scattering. CoRR abs/2203.10307 (2022) - [i5]Emilien Valat, Katayoun Farrahi, Thomas Blumensath:
Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography. CoRR abs/2205.07888 (2022) - [i4]Bhumika Mistry, Katayoun Farrahi, Jonathon S. Hare:
Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity. CoRR abs/2211.05624 (2022) - 2021
- [j7]Xin Du, Katayoun Farrahi, Mahesan Niranjan:
Information Bottleneck Theory Based Exploration of Cascade Learning. Entropy 23(10): 1360 (2021) - [i3]Bhumika Mistry, Katayoun Farrahi, Jonathon S. Hare:
A Primer for Neural Arithmetic Logic Modules. CoRR abs/2101.09530 (2021) - [i2]Bhumika Mistry, Katayoun Farrahi, Jonathon S. Hare:
Learning Division with Neural Arithmetic Logic Modules. CoRR abs/2110.05177 (2021)
2010 – 2019
- 2019
- [c23]Xin Du, Katayoun Farrahi, Mahesan Niranjan:
Transfer learning across human activities using a cascade neural network architecture. UbiComp 2019: 35-44 - [c22]Dimitris Spathis, Sandra Servia Rodríguez, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow:
Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data. KDD 2019: 2886-2894 - [c21]Dimitris Spathis, Sandra Servia Rodríguez, Katayoun Farrahi, Cecilia Mascolo, Jason Rentfrow:
Passive mobile sensing and psychological traits for large scale mood prediction. PervasiveHealth 2019: 272-281 - [e2]Katayoun Farrahi, Robert Harle, Nicholas D. Lane:
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, UK, September 09-13, 2019. ACM 2019, ISBN 978-1-4503-6870-4 [contents] - [e1]Robert Harle, Katayoun Farrahi, Nicholas D. Lane:
Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019 Adjunct, London, UK, September 9-13, 2019. ACM 2019, ISBN 978-1-4503-6869-8 [contents] - 2018
- [c20]Antony Milne, Katayoun Farrahi, Mihalis A. Nicolaou:
Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics. DS 2018: 435-446 - [c19]Fayez Alharbi, Katayoun Farrahi:
A Convolutional Neural Network for Smoking Activity Recognition. HealthCom 2018: 1-6 - 2017
- [j6]Katayoun Farrahi, Kashif Zia:
Trust reality-mining: evidencing the role of friendship for trust diffusion. Hum. centric Comput. Inf. Sci. 7: 4 (2017) - [c18]Ishrat Rahman Sami, Katayoun Farrahi:
A Simplified Topological Representation of Text for Local and Global Context. ACM Multimedia 2017: 1451-1456 - [c17]Antony Milne, Mihalis Nicolaou, Katayoun Farrahi:
Discovering the Typing Behaviour of Parkinson's Patients Using Topic Models. SocInfo (2) 2017: 89-97 - 2015
- [c16]Katayoun Farrahi, Rémi Emonet, Manuel Cebrián:
Predicting a Community's Flu Dynamics with Mobile Phone Data. CSCW 2015: 1214-1221 - [c15]Markus Schedl, David Hauger, Katayoun Farrahi, Marko Tkalcic:
On the Influence of User Characteristics on Music Recommendation Algorithms. ECIR 2015: 339-345 - 2014
- [j5]Katayoun Farrahi, Daniel Gatica-Perez:
A probabilistic approach to mining mobile phone data sequences. Pers. Ubiquitous Comput. 18(1): 223-238 (2014) - [c14]Katayoun Farrahi, Markus Schedl, Andreu Vall, David Hauger, Marko Tkalcic:
Impact of Listening Behavior on Music Recommendation. ISMIR 2014: 483-488 - [c13]Markus Schedl, Andreu Vall, Katayoun Farrahi:
User geospatial context for music recommendation in microblogs. SIGIR 2014: 987-990 - 2013
- [j4]Kashif Zia, Katayoun Farrahi, Andreas Riener, Alois Ferscha:
An agent-based parallel geo-simulation of urban mobility during city-scale evacuation. Simul. 89(10): 1184-1214 (2013) - [c12]Katayoun Farrahi, Alois Ferscha:
Topic models towards high performance data mining and analysis. HPCS 2013: 692-693 - [c11]Katayoun Farrahi, Kashif Zia, Alexei Sharpanskykh, Alois Ferscha, Lev Muchnik:
Agent Perception Modeling for Movement in Crowds. PAAMS 2013: 73-84 - [c10]Kashif Zia, Katayoun Farrahi, Alexei Sharpanskykh, Alois Ferscha, Lev Muchnik:
Parallel and Distributed Simulation of Large-Scale Cognitive Agents. PAAMS 2013: 324-328 - [i1]Alois Ferscha, Katayoun Farrahi, Jeroen van den Hoven, David Hales, Andrzej Nowak, Paul Lukowicz, Dirk Helbing:
Socio-inspired ICT - Towards a socially grounded society-ICT symbiosis. CoRR abs/1304.1898 (2013) - 2012
- [j3]Anmol Madan, Manuel Cebrián, Sai T. Moturu, Katayoun Farrahi, Alex Pentland:
Sensing the "Health State" of a Community. IEEE Pervasive Comput. 11(4): 36-45 (2012) - [c9]Katayoun Farrahi, Daniel Gatica-Perez:
Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model. ISWC 2012: 1-8 - [c8]Katayoun Farrahi, Rémi Emonet, Alois Ferscha:
Socio-Technical Network Analysis from Wearable Interactions. ISWC 2012: 9-16 - [c7]Kashif Zia, Andreas Riener, Katayoun Farrahi, Alois Ferscha:
A New Opportunity to Urban Evacuation Analysis: Very Large Scale Simulations of Social Agent Systems in Repast HPC. PADS 2012: 233-242 - 2011
- [b1]Katayoun Farrahi:
A Probabilistic Approach to Socio-Geographic Reality Mining. EPFL, Switzerland, 2011 - [j2]Katayoun Farrahi, Daniel Gatica-Perez:
Discovering routines from large-scale human locations using probabilistic topic models. ACM Trans. Intell. Syst. Technol. 2(1): 3:1-3:27 (2011) - [c6]Anmol Madan, Katayoun Farrahi, Daniel Gatica-Perez, Alex Pentland:
Pervasive Sensing to Model Political Opinions in Face-to-Face Networks. Pervasive 2011: 214-231 - 2010
- [j1]Katayoun Farrahi, Daniel Gatica-Perez:
Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data. IEEE J. Sel. Top. Signal Process. 4(4): 746-755 (2010) - [c5]Katayoun Farrahi, Daniel Gatica-Perez:
Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling. SocialCom/PASSAT 2010: 446-451
2000 – 2009
- 2009
- [c4]Katayoun Farrahi, Daniel Gatica-Perez:
Learning and predicting multimodal daily life patterns from cell phones. ICMI 2009: 277-280 - 2008
- [c3]Katayoun Farrahi, Daniel Gatica-Perez:
Discovering human routines from cell phone data with topic models. ISWC 2008: 29-32 - [c2]Katayoun Farrahi, Daniel Gatica-Perez:
Daily Routine Classification from Mobile Phone Data. MLMI 2008: 173-184 - [c1]Katayoun Farrahi, Daniel Gatica-Perez:
What did you do today?: discovering daily routines from large-scale mobile data. ACM Multimedia 2008: 849-852
Coauthor Index
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last updated on 2024-11-08 21:29 CET by the dblp team
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