Flora D. Salim

research

∙ 09/15/2023

MAPLE: Mobile App Prediction Leveraging Large Language model Embeddings

Despite the rapid advancement of mobile applications, predicting app usa...

0 Yonchanok Khaokaew, et al. ∙

research

∙ 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...

0 Arian Prabowo, et al. ∙

research

∙ 09/08/2023

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse

Counterfactuals operationalised through algorithmic recourse have become...

0 Edward A. Small, et al. ∙

research

∙ 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...

0 Danula Hettiachchi, et al. ∙

research

∙ 08/26/2023

i-Align: an interpretable knowledge graph alignment model

Knowledge graphs (KGs) are becoming essential resources for many downstr...

0 Bayu Distiawan Trisedya, et al. ∙

research

∙ 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...

0 Yuxi Liu, et al. ∙

research

∙ 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...

0 Yuxi Liu, et al. ∙

research

∙ 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...

0 Kyle K. Qin, et al. ∙

research

∙ 06/10/2023

Continually learning out-of-distribution spatiotemporal data for robust energy forecasting

Forecasting building energy usage is essential for promoting sustainabil...

4 Arian Prabowo, et al. ∙

research

∙ 05/09/2023

Message Passing Neural Networks for Traffic Forecasting

A road network, in the context of traffic forecasting, is typically mode...

6 Arian Prabowo, et al. ∙

research

∙ 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 ...

3 Arian Prabowo, et al. ∙

research

∙ 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...

8 Jason Liu, et al. ∙

research

∙ 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...

0 Edward A. Small, et al. ∙

research

∙ 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...

2 Arian Prabowo, et al. ∙

research

∙ 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 ...

0 Kyle K. Qin, et al. ∙

research

∙ 12/30/2022

Detecting Change Intervals with Isolation Distributional Kernel

Detecting abrupt changes in data distribution is one of the most signifi...

0 Yang Cao, et al. ∙

research

∙ 12/07/2022

CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series

Ordinary Differential Equations (ODE)-based models have become popular f...

16 Futoon M. Abushaqra, et al. ∙

research

∙ 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 ...

0 Yuxi Liu, et al. ∙

research

∙ 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 ...

0 Hao Xue, et al. ∙

research

∙ 09/11/2022

Leveraging Language Foundation Models for Human Mobility Forecasting

In this paper, we propose a novel pipeline that leverages language found...

1 Hao Xue, et al. ∙

research

∙ 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...

0 Yonchanok Khaokaew, et al. ∙

research

∙ 07/31/2022

COCOA: Cross Modality Contrastive Learning for Sensor Data

Self-Supervised Learning (SSL) is a new paradigm for learning discrimina...

2 Shohreh Deldari, et al. ∙

research

∙ 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...

0 Yuxi Liu, et al. ∙

research

∙ 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...

8 Shohreh Deldari, et al. ∙

research

∙ 02/10/2022

Measuring disentangled generative spatio-temporal representation

Disentangled representation learning offers useful properties such as di...

0 Sichen Zhao, et al. ∙

research

∙ 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...

0 Nan Gao, et al. ∙

research

∙ 12/14/2021

Event-Aware Multimodal Mobility Nowcasting

As a decisive part in the success of Mobility-as-a-Service (MaaS), spati...

2 Zhaonan Wang, et al. ∙

research

∙ 12/13/2021

Translating Human Mobility Forecasting through Natural Language Generation

Existing human mobility forecasting models follow the standard design of...

0 Hao Xue, et al. ∙

research

∙ 09/30/2021

PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series

Heterogeneity and irregularity of multi-source data sets present a signi...

5 Futoon M. Abushaqra, et al. ∙

research

∙ 09/30/2021

MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction

Human mobility prediction is a core functionality in many location-based...

5 Hao Xue, et al. ∙

research

∙ 08/26/2021

CoSEM: Contextual and Semantic Embedding for App Usage Prediction

App usage prediction is important for smartphone system optimization to ...

0 Yonchanok Khaokaew, et al. ∙

research

∙ 08/22/2021

Evolutionary Ensemble Learning for Multivariate Time Series Prediction

Multivariate time series (MTS) prediction plays a key role in many field...

0 Hui Song, et al. ∙

research

∙ 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...

0 Nan Gao, et al. ∙

research

∙ 06/10/2021

MoParkeR : Multi-objective Parking Recommendation

Existing parking recommendation solutions mainly focus on finding and su...

0 Mohammad Saiedur Rahaman, et al. ∙

research

∙ 06/08/2021

Towards Social Role-Based Interruptibility Management

Managing individuals' attention and interruptibility is still a challeng...

0 Christoph Anderson, et al. ∙

research

∙ 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...

0 Wei Shao, et al. ∙

research

∙ 05/17/2021

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

The usage of smartphone-collected respiratory sound, trained with deep l...

22 Hao Xue, et al. ∙

research

∙ 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...

0 Nan Gao, et al. ∙

research

∙ 03/11/2021

Drone-as-a-Service Composition Under Uncertainty

We propose an uncertainty-aware service approach to provide drone-based ...

16 Ali Hamdi, et al. ∙

research

∙ 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...

3 Shohreh Deldari, et al. ∙

research

∙ 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...

8 Hao Xue, et al. ∙

research

∙ 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 ...

0 Manpreet Kaur, et al. ∙

research

∙ 08/18/2020

Generative Adversarial Networks for Spatio-temporal Data: A Survey

Generative Adversarial Networks (GANs) have shown remarkable success in ...

0 Nan Gao, et al. ∙

research

∙ 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...

0 Shakila Khan Rumi, et al. ∙

research

∙ 07/31/2020

Seating preference analysis for hybrid workplaces

Due to the increasing nature of flexible work and the recent requirement...

0 Mohammad Saiedur Rahaman, et al. ∙

research

∙ 07/30/2020

grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs

We propose grid2vec, a novel approach for image representation learning ...

13 Ali Hamdi, et al. ∙

research

∙ 07/30/2020

G-CREWE: Graph CompREssion With Embedding for Network Alignment

Network alignment is useful for multiple applications that require incre...

13 Kyle K. Qin, et al. ∙

research

∙ 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...

0 Aaqib Saeed, et al. ∙

research

∙ 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...

0 Shohreh Deldari, et al. ∙

research

∙ 07/24/2020

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...

0 Sam Nolan, et al. ∙

Flora D. Salim

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