190 citations · 566 across the 19 of their papers we have counts for
4 papers · 1 filter
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches
Kleomenis Katevas, Ilias Leontiadis, Martin Pielot +1
We investigate to what extent mobile use patterns can predict -- at the moment it is posted -- whether a notification will be clicked within the next 10 minutes. We use a data set…
Privacy-Preserving Deep Inference for Rich User Data on The Cloud
Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri +4
Deep neural networks are increasingly being used in a variety of machine learning applications applied to rich user data on the cloud. However, this approach introduces a number of…
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions
Kleomenis Katevas, Ilias Leontiadis, Martin Pielot +1
We present a practical approach for processing mobile sensor time series data for continual deep learning predictions. The approach comprises data cleaning, normalization, capping,…
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics
Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh +5
Internet of Things (IoT) devices and applications are being deployed in our homes and workplaces. These devices often rely on continuous data collection to feed machine learning mo…