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Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding
Change Point Detection techniques aim to capture changes in trends and s...
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TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction
Traffic flow prediction is a crucial task in enabling efficient intellig...
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Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors
This paper investigates the Cyber-Physical behavior of users in a large ...
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Generative Adversarial Networks for Spatio-temporal Data: A Survey
Generative Adversarial Networks (GANs) have shown remarkable success in ...
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Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data
A well-crafted police patrol route design is vital in providing communit...
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Seating preference analysis for hybrid workplaces
Due to the increasing nature of flexible work and the recent requirement...
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grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs
We propose grid2vec, a novel approach for image representation learning ...
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G-CREWE: Graph CompREssion With Embedding for Network Alignment
Network alignment is useful for multiple applications that require incre...
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Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Smartphones, wearables, and Internet of Things (IoT) devices produce a w...
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ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data
Extracting informative and meaningful temporal segments from high-dimens...
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Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home
In the opening months of 2020, COVID-19 changed the way for which people...
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n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild
The study of student engagement has attracted growing interests to addre...
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An Ambient-Physical System to Infer Concentration in Open-plan Workplace
One of the core challenges in open-plan workspaces is to ensure a good l...
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Transfer Learning for Thermal Comfort Prediction in Multiple Cities
HVAC (Heating, Ventilation and Air Conditioning) system is an important ...
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Relation Embedding for Personalised POI Recommendation
Point-of-interest (POI) recommendation is one of the most important loca...
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Flight Delay Prediction using Airport Situational Awareness Map
The prediction of flight delays plays a significantly important role for...
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COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference
The process of automatic generation of a road map from GPS trajectories,...
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Predicting Personality Traits from Physical Activity Intensity
Call and messaging logs from mobile devices have been used to predict hu...
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Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network
Deep learning has been extended to a number of new domains with critical...
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Mining User Behavioral Rules from Smartphone Data through Association Analysis
The increasing popularity of smart mobile phones and their powerful sens...
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