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Discovering Human Routines from Cell Phone Data with Topic Models

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Discovering Human Routines from Cell Phone Data with Topic Models

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Contextual grouping: discovering real-life interaction types from longitudinal Bluetooth data

Probabilistic Mining of Socio-Geographic Routines from Mobile Phone Data

By their apps you shall understand them: mining large-scale patterns of mobile phone usage

Batch processing for efficient base-band operations in real-time GNSS software receivers

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Fisher Kernels and Probabilistic Latent Semantic Models

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Learning and Predicting Multimodal Daily Life Patterns from Cell Phones

Inferring the activities of smartphone users from context measurements using Bayesian inference and random utility models