131 citations · 862 across the 65 of their papers we have counts for
12 papers · 1 filter
Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications
Luca Bedogni, Shakila Khan Rumi, Flora Salim
In 2020 the coronavirus outbreak changed the lives of people worldwide. After an initial time period in which it was unclear how to battle the virus, social distancing has been rec…
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting
Hao Xue, Flora D Salim
Urban flow forecasting is a challenging task, given the inherent periodic characteristics of urban flow patterns. To capture the periodicity, existing urban flow prediction approac…
Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
Manpreet Kaur, Flora D. Salim, Yongli Ren +3
This paper investigates the Cyber-Physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the m…
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Nan Gao, Hao Xue, Wei Shao +5
Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area. Recently, GAN-based techniques are shown to…
G-CREWE: Graph CompREssion With Embedding for Network Alignment
Kyle K. Qin, Flora D. Salim, Yongli Ren +3
Network alignment is useful for multiple applications that require increasingly large graphs to be processed. Existing research approaches this as an optimization problem or comput…
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi +1
Smartphones, wearables, and Internet of Things (IoT) devices produce a wealth of data that cannot be accumulated in a centralized repository for learning supervised models due to p…
ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data
Shohreh Deldari, Daniel V. Smith, Amin Sadri +1
Extracting informative and meaningful temporal segments from high-dimensional wearable sensor data, smart devices, or IoT data is a vital preprocessing step in applications such as…
FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing
Wei Shao, Sichen Zhao, Zhen Zhang +4
Existing research on parking availability sensing mainly relies on extensive contextual and historical information. In practice, the availability of such information is a challenge…
An Ambient-Physical System to Infer Concentration in Open-plan Workplace
Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren +4
One of the core challenges in open-plan workspaces is to ensure a good level of concentration for the workers while performing their tasks. Hence, being able to infer concentration…
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
Ali Hamdi, Flora Salim, Du Yong Kim
We present DroTrack, a high-speed visual single-object tracking framework for drone-captured video sequences. Most of the existing object tracking methods are designed to tackle we…
Transfer Learning for Thermal Comfort Prediction in Multiple Cities
Nan Gao, Wei Shao, Mohammad Saiedur Rahaman +3
HVAC (Heating, Ventilation and Air Conditioning) system is an important part of a building, which constitutes up to 40% of building energy usage. The main purpose of HVAC, maintain…
Relation Embedding for Personalised POI Recommendation
Xianjing Wang, Flora D. Salim, Yongli Ren +1
Point-of-Interest (POI) recommendation is one of the most important location-based services helping people discover interesting venues or services. However, the extreme user-POI ma…