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09/15/2023
MAPLE: Mobile App Prediction Leveraging Large Language model Embeddings
Despite the rapid advancement of mobile applications, predicting app usa...
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09/08/2023
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: A Continual Learning Approach Leveraging Human Mobility
In traditional deep learning algorithms, one of the key assumptions is t...
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09/08/2023
Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse
Counterfactuals operationalised through algorithmic recourse have become...
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09/03/2023
How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets
Crowdsourced annotation is vital to both collecting labelled data to tra...
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08/26/2023
i-Align: an interpretable knowledge graph alignment model
Knowledge graphs (KGs) are becoming essential resources for many downstr...
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08/24/2023
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
The Intensive Care Unit (ICU) is one of the most important parts of a ho...
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08/19/2023
Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs
Predicting the risk of in-hospital mortality from electronic health reco...
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06/20/2023
A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality
Human movements in the workspace usually have non-negligible relations w...
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06/10/2023
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting
Forecasting building energy usage is essential for promoting sustainabil...
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05/09/2023
Message Passing Neural Networks for Traffic Forecasting
A road network, in the context of traffic forecasting, is typically mode...
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05/09/2023
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training
New roads are being constructed all the time. However, the capabilities ...
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05/01/2023
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study
In the context of mobile sensing environments, various sensors on mobile...
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04/19/2023
Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness
Group fairness is achieved by equalising prediction distributions betwee...
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02/20/2023
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Traffic forecasting is a critical task to extract values from cyber-phys...
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01/11/2023
Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction
Sparsity is a common issue in many trajectory datasets, including human ...
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12/30/2022
Detecting Change Intervals with Isolation Distributional Kernel
Detecting abrupt changes in data distribution is one of the most signifi...
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12/07/2022
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series
Ordinary Differential Equations (ODE)-based models have become popular f...
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11/11/2022
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values
Predicting the health risks of patients using Electronic Health Records ...
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09/20/2022
PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting
This paper studies the time series forecasting problem from a whole new ...
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09/11/2022
Leveraging Language Foundation Models for Human Mobility Forecasting
In this paper, we propose a novel pipeline that leverages language found...
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08/06/2022
Imagining Future Digital Assistants at Work: A Study of Task Management Needs
Digital Assistants (DAs) can support workers in the workplace and beyond...
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07/31/2022
COCOA: Cross Modality Contrastive Learning for Sensor Data
Self-Supervised Learning (SSL) is a new paradigm for learning discrimina...
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07/13/2022
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction
Building models for health prediction based on Electronic Health Records...
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06/06/2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Recently, Self-Supervised Representation Learning (SSRL) has attracted m...
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02/10/2022
Measuring disentangled generative spatio-temporal representation
Disentangled representation learning offers useful properties such as di...
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12/23/2021
Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses
Seating location in the classroom can affect student engagement, involve...
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12/14/2021
Event-Aware Multimodal Mobility Nowcasting
As a decisive part in the success of Mobility-as-a-Service (MaaS), spati...
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12/13/2021
Translating Human Mobility Forecasting through Natural Language Generation
Existing human mobility forecasting models follow the standard design of...
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09/30/2021
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series
Heterogeneity and irregularity of multi-source data sets present a signi...
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09/30/2021
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
Human mobility prediction is a core functionality in many location-based...
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08/26/2021
CoSEM: Contextual and Semantic Embedding for App Usage Prediction
App usage prediction is important for smartphone system optimization to ...
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08/22/2021
Evolutionary Ensemble Learning for Multivariate Time Series Prediction
Multivariate time series (MTS) prediction plays a key role in many field...
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07/01/2021
Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth
Inferring human mental state (e.g., emotion, depression, engagement) wit...
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06/10/2021
MoParkeR : Multi-objective Parking Recommendation
Existing parking recommendation solutions mainly focus on finding and su...
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06/08/2021
Towards Social Role-Based Interruptibility Management
Managing individuals' attention and interruptibility is still a challeng...
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05/19/2021
Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map
To model and forecast flight delays accurately, it is crucial to harness...
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05/17/2021
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification
The usage of smartphone-collected respiratory sound, trained with deep l...
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05/14/2021
Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables
We conducted a field study at a K-12 private school in the suburbs of Me...
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03/11/2021
Drone-as-a-Service Composition Under Uncertainty
We propose an uncertainty-aware service approach to provide drone-based ...
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11/28/2020
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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11/11/2020
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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08/26/2020
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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08/18/2020
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Generative Adversarial Networks (GANs) have shown remarkable success in ...
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07/31/2020
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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07/31/2020
Seating preference analysis for hybrid workplaces
Due to the increasing nature of flexible work and the recent requirement...
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07/30/2020
grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs
We propose grid2vec, a novel approach for image representation learning ...
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07/30/2020
G-CREWE: Graph CompREssion With Embedding for Network Alignment
Network alignment is useful for multiple applications that require incre...
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07/25/2020
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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07/24/2020
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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07/24/2020
