Katayoun Farrahi

Trans. Mach. Learn. Res., 2022

A Primer for Neural Arithmetic Logic Modules.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Improving the Robustness of Neural Multiplication Units with Reversible Stochasticity.

[BibT_eX]

[DOI]

CoRR, 2022

Data-Driven Interpolation for Super-Scarce X-Ray Computed Tomography.

[BibT_eX]

[DOI]

Emilien Valat

Thomas Blumensath

CoRR, 2022

Modelling nonlinear dependencies in the latent space of inverse scattering.

[BibT_eX]

[DOI]

Juliusz Ziomek

CoRR, 2022

Sinogram Enhancement with Generative Adversarial Networks using Shape Priors.

[BibT_eX]

[DOI]

Emilien Valat

Thomas Blumensath

CoRR, 2022

Flattening the Curve Through Reinforcement Learning Driven Test and Trace Policies.

[BibT_eX]

[DOI]

Andrei C. Rusu

Mahesan Niranjan

Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

Deep Cascade Learning for Optimal Medical Image Feature Representation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

Information Bottleneck Theory Based Exploration of Cascade Learning.

[BibT_eX]

[DOI]

Xin Du

Mahesan Niranjan

Entropy, 2021

Learning Division with Neural Arithmetic Logic Modules.

[BibT_eX]

[DOI]

CoRR, 2021

2019

Passive mobile sensing and psychological traits for large scale mood prediction.

[BibT_eX]

[DOI]

Dimitris Spathis

Sandra Servia Rodríguez

Cecilia Mascolo

Jason Rentfrow

Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare, 2019

Sequence Multi-task Learning to Forecast Mental Wellbeing from Sparse Self-reported Data.

[BibT_eX]

[DOI]

Dimitris Spathis

Sandra Servia Rodríguez

Cecilia Mascolo

Jason Rentfrow

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Transfer learning across human activities using a cascade neural network architecture.

[BibT_eX]

[DOI]

Xin Du

Mahesan Niranjan

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

2018

A Convolutional Neural Network for Smoking Activity Recognition.

[BibT_eX]

[DOI]

Fayez Alharbi

Proceedings of the 20th IEEE International Conference on e-Health Networking, 2018

Less is More: Univariate Modelling to Detect Early Parkinson's Disease from Keystroke Dynamics.

[BibT_eX]

[DOI]

Antony Milne

Mihalis A. Nicolaou

Proceedings of the Discovery Science - 21st International Conference, 2018

2017

Trust reality-mining: evidencing the role of friendship for trust diffusion.

[BibT_eX]

[DOI]

Kashif Zia

Hum. centric Comput. Inf. Sci., 2017

Discovering the Typing Behaviour of Parkinson's Patients Using Topic Models.

[BibT_eX]

[DOI]

Antony Milne

Mihalis Nicolaou

Proceedings of the Social Informatics, 2017

A Simplified Topological Representation of Text for Local and Global Context.

[BibT_eX]

[DOI]

Ishrat Rahman Sami

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2015

On the Influence of User Characteristics on Music Recommendation Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2015

Predicting a Community's Flu Dynamics with Mobile Phone Data.

[BibT_eX]

[DOI]

Rémi Emonet

Manuel Cebrián

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, 2015

2014

A probabilistic approach to mining mobile phone data sequences.

[BibT_eX]

[DOI]

Pers. Ubiquitous Comput., 2014

User geospatial context for music recommendation in microblogs.

[BibT_eX]

[DOI]

Markus Schedl

Andreu Vall

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Impact of Listening Behavior on Music Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014

2013

An agent-based parallel geo-simulation of urban mobility during city-scale evacuation.

[BibT_eX]

[DOI]

Simul., 2013

Socio-inspired ICT - Towards a socially grounded society-ICT symbiosis

[BibT_eX]

[DOI]

CoRR, 2013

Parallel and Distributed Simulation of Large-Scale Cognitive Agents.

[BibT_eX]

[DOI]

Proceedings of the Advances on Practical Applications of Agents and Multi-Agent Systems, 2013

Agent Perception Modeling for Movement in Crowds.

[BibT_eX]

[DOI]

Proceedings of the Advances on Practical Applications of Agents and Multi-Agent Systems, 2013

Topic models towards high performance data mining and analysis.

[BibT_eX]

[DOI]

Alois Ferscha

Proceedings of the International Conference on High Performance Computing & Simulation, 2013

2012

Sensing the "Health State" of a Community.

[BibT_eX]

[DOI]

IEEE Pervasive Comput., 2012

A New Opportunity to Urban Evacuation Analysis: Very Large Scale Simulations of Social Agent Systems in Repast HPC.

[BibT_eX]

[DOI]

Proceedings of the 26th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation, 2012

Extracting Mobile Behavioral Patterns with the Distant N-Gram Topic Model.

[BibT_eX]

[DOI]

Proceedings of the 16th International Symposium on Wearable Computers, 2012

Socio-Technical Network Analysis from Wearable Interactions.

[BibT_eX]

[DOI]

Rémi Emonet

Alois Ferscha

Proceedings of the 16th International Symposium on Wearable Computers, 2012

2011

A Probabilistic Approach to Socio-Geographic Reality Mining.

[BibT_eX]

[DOI]

PhD thesis, 2011

Discovering routines from large-scale human locations using probabilistic topic models.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2011

Pervasive Sensing to Model Political Opinions in Face-to-Face Networks.

[BibT_eX]

[DOI]

Proceedings of the Pervasive Computing - 9th International Conference, 2011

2010

Probabilistic Mining of Socio-Geographic Routines From Mobile Phone Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2010

Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

2009

Learning and predicting multimodal daily life patterns from cell phones.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Multimodal Interfaces, 2009

2008

What did you do today?: discovering daily routines from large-scale mobile data.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Multimedia 2008, 2008

Daily Routine Classification from Mobile Phone Data.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Multimodal Interaction, 5th International Workshop, 2008

Discovering human routines from cell phone data with topic models.

[BibT_eX]

[DOI]