155 citations · 277 across the 11 of their papers we have counts for
13 papers
Mobiprox: Supporting Dynamic Approximate Computing on Mobiles
Matevž Fabjančič, Octavian Machidon, Hashim Sharif +3
Runtime-tunable context-dependent network compression would make mobile deep learning (DL) adaptable to often varying resource availability, input "difficulty", or user needs. The…
Context-aware adaptation of mobile video decoding resolution
Octavian Machidon, Jani Asprov, Tine Fajfar +1
While the evolution of mobile computing is experiencing a considerable growth, it is at the same time seriously threatened by the limitations of the battery technology, which does…
Towards Social Role-Based Interruptibility Management
Christoph Anderson, Judith Simone Heinisch, Shohreh Deldari +4
Pervasive and ubiquitous computing facilitates immediate access to information in the sense of always-on. Information such as news, messages, or reminders can significantly enhance…
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference -- A Ubiquitous Systems Perspective
Alina L. Machidon, Veljko Pejovic
Compressive sensing (CS) is a mathematically elegant tool for reducing the sampling rate, potentially bringing context-awareness to a wider range of devices. Nevertheless, practica…
The Impact of Private and Work-Related Smartphone Usage on Interruptibility
Christoph Anderson, Judith Simone Heinisch, Sandra Ohly +2
In the last decade, the effects of interruptions through mobile notifications have been extensively researched in the field of Human-Computer Interaction. Breakpoints in tasks and…
RICERCANDO: Data Mining Toolkit for Mobile Broadband Measurements
Veljko Pejovic, Ivan Majhen, Miha Janez +1
Increasing reliance on mobile broadband (MBB) networks for communication, vehicle navigation, healthcare, and other critical purposes calls for improved monitoring and troubleshoot…