Flora D. Salim

Orcid: 0000-0002-1237-1664

Affiliations:
  • University of New South Wales (UNSW), School of Computer Science and Engineering, Sydney, Australia
  • RMIT University, School of Computer Science and IT, Melbourne, VIC, Australia (former)


According to our database1, Flora D. Salim authored at least 255 papers between 2004 and 2024.

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Bibliography

2024
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting.
IEEE Trans. Knowl. Data Eng., November, 2024

Introduction to the Special Issue on Machine Learning and Location Data.
ACM Trans. Spatial Algorithms Syst., September, 2024

Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread.
ACM Trans. Spatial Algorithms Syst., June, 2024

Mobility Data Science: Perspectives and Challenges.
ACM Trans. Spatial Algorithms Syst., June, 2024

Traffic forecasting on new roads using spatial contrastive pre-training (SCPT).
Data Min. Knowl. Discov., May, 2024

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024

Introduction to the Special Issue on Machine Learning and Location Data: Part II.
ACM Trans. Spatial Algorithms Syst., 2024

SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series.
Trans. Mach. Learn. Res., 2024

Transferrable contextual feature clusters for parking occupancy prediction.
Pervasive Mob. Comput., 2024

Detecting Change Intervals with Isolation Distributional Kernel.
J. Artif. Intell. Res., 2024

PACER: Physics Informed Uncertainty Aware Climate Emulator.
CoRR, 2024

GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems.
CoRR, 2024

Evaluating the Influences of Explanation Style on Human-AI Reliance.
CoRR, 2024

SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition.
CoRR, 2024

Inside Out or Not: Privacy Implications of Emotional Disclosure.
CoRR, 2024

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health.
CoRR, 2024

AuditNet: A Conversational AI-based Security Assistant [DEMO].
CoRR, 2024

REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability.
CoRR, 2024

ViLCo-Bench: VIdeo Language COntinual learning Benchmark.
CoRR, 2024

XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges.
CoRR, 2024

BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics.
CoRR, 2024

ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation.
CoRR, 2024

Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem.
CoRR, 2024

Spectraformer: A Unified Random Feature Framework for Transformer.
CoRR, 2024

A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings.
CoRR, 2024

Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing.
CoRR, 2024

Prompt Mining for Language-based Human Mobility Forecasting.
CoRR, 2024

Conformer: Embedding Continuous Attention in Vision Transformer for Weather Forecasting.
CoRR, 2024

Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events.
Artif. Intell., 2024

SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding.
Proceedings of the ACM on Web Conference 2024, 2024

Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

CroSSL: Cross-modal Self-Supervised Learning for Time-series through Latent Masking.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Large Language Models for Next Point-of-Interest Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Characterizing Information Seeking Processes with Multiple Physiological Signals.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MANILA24: SIGIR 2024 Workshop on Information Retrieval and Climate Impact.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Boosting Patient Representation Learning via Graph Contrastive Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Long-Term Fairness in Ride-Hailing Platform.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Generating Multivariate Synthetic Time Series Data for Absent Sensors from Correlated Sources.
Proceedings of the 2nd International Workshop on Networked AI Systems, 2024

Towards Detecting and Mitigating Cognitive Bias in Spoken Conversational Search.
Proceedings of the Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, 2024

AuditNet: Conversational AI Security Assistant.
Proceedings of the Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, 2024

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

WorkR: Occupation Inference for Intelligent Task Assistance.
Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

Understanding Physiological Responses of Students Over Different Courses.
Proceedings of the 2024 ACM International Symposium on Wearable Computers, 2024

Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

AttEXplore: Attribution for Explanation with model parameters eXploration.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hypergraph Convolutional Networks for Fine-Grained lCU Patient Similarity Analysis and Risk Prediction.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Fine-grained Patient Similarity Measuring using Contrastive Graph Similarity Networks.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

A Multi-Graph Fusion Framework for Patient Representation Learning.
Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Prompt Mining for Language Models-based Mobility Flow Forecasting.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Promoting Two-sided Fairness in Dynamic Vehicle Routing Problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

GustosonicSense: Towards understanding the design of playful gustosonic eating experiences.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

E-Scooter Dynamics: Unveiling Rider Behaviours and Interactions with Road Users through Multi-Modal Data Analysis.
Proceedings of the Augmented Humans International Conference 2024, 2024

2023
TransCP: A Transformer Pointer Network for Generic Entity Description Generation With Explicit Content-Planning.
IEEE Trans. Knowl. Data Eng., December, 2023

i-Align: an interpretable knowledge graph alignment model.
Data Min. Knowl. Discov., November, 2023

ASBiNE: Dynamic Bipartite Network Embedding for incorporating structural and attribute information.
World Wide Web (WWW), September, 2023

Qualitative spatial reasoning with uncertain evidence using Markov logic networks.
Int. J. Geogr. Inf. Sci., September, 2023

Welcome.
Commun. ACM, July, 2023

Multiple-level Point Embedding for Solving Human Trajectory Imputation with Prediction.
ACM Trans. Spatial Algorithms Syst., June, 2023

Toward Social Role-Based Interruptibility Management.
IEEE Pervasive Comput., 2023

Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities.
CoRR, 2023

Critiquing Self-report Practices for Human Mental and Wellbeing Computing at Ubicomp.
CoRR, 2023

Automated Mobile Sensing Strategies Generation for Human Behaviour Understanding.
CoRR, 2023

Investigating Emotions, Social Roles, Well-being and Mobile Usage Behaviors During COVID-19 Home Confinement.
CoRR, 2023

Human Mobility Question Answering (Vision Paper).
CoRR, 2023

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse.
CoRR, 2023

How Crowd Worker Factors Influence Subjective Annotations: A Study of Tagging Misogynistic Hate Speech in Tweets.
CoRR, 2023

Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction.
CoRR, 2023

Latent Masking for Multimodal Self-supervised Learning in Health Timeseries.
CoRR, 2023

Towards Mobility Data Science (Vision Paper).
CoRR, 2023

Message Passing Neural Networks for Traffic Forecasting.
CoRR, 2023

Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training.
CoRR, 2023

Multimodal Trajectory Prediction: A Survey.
CoRR, 2023

Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Utilizing Language Models for Energy Load Forecasting.
Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Contrastive Learning-Based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling Using EHRs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

A System of Monitoring and Analyzing Human Indoor Mobility and Air Quality.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Are footpaths encroached by shared e-scooters? Spatio-temporal Analysis of Micro-mobility Services.
Proceedings of the 24th IEEE International Conference on Mobile Data Management, 2023

Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023

An Application Programming Interface for Android to support dedicated 5G network slicing.
Proceedings of the 13th International Conference on the Internet of Things, 2023

Understanding Mobile Information Needs and Behaviours.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Towards Detecting Tonic Information Processing Activities with Physiological Data.
Proceedings of the Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, 2023

Artificial General Intelligence for Human Mobility (Vision Paper).
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Designing and Evaluating Presentation Strategies for Fact-Checked Content.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

The unwritten manual of becoming a professor of HCI.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Drone-as-a-Service Composition Under Uncertainty.
IEEE Trans. Serv. Comput., 2022

Generative Adversarial Networks for Spatio-temporal Data: A Survey.
ACM Trans. Intell. Syst. Technol., 2022

Explainable spatiotemporal reasoning for geospatial intelligence applications.
Trans. GIS, 2022

App usage on-the-move: Context- and commute-aware next app prediction.
Pervasive Mob. Comput., 2022

Individual and Group-wise Classroom Seating Experience: Effects on Student Engagement in Different Courses.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

COCOA: Cross Modality Contrastive Learning for Sensor Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Predicting flight delay with spatio-temporal trajectory convolutional network and airport situational awareness map.
Neurocomputing, 2022

Imagining future digital assistants at work: A study of task management needs.
Int. J. Hum. Comput. Stud., 2022

Location Contact Tracing: Penetration, Privacy, Position, and Performance.
Digit. Gov. Res. Pract., 2022

Mobility Data Science (Dagstuhl Seminar 22021).
Dagstuhl Reports, 2022

Detecting Change Intervals with Isolation Distributional Kernel.
CoRR, 2022

CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series.
CoRR, 2022

Analysing Donors' Behaviour in Non-profit Organisations for Disaster Resilience: The 2019-2020 Australian Bushfires Case Study.
CoRR, 2022

Prompt-Based Time Series Forecasting: A New Task and Dataset.
CoRR, 2022

How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies.
CoRR, 2022

Investigating the Effects of Mood & Usage Behaviour on Notification Response Time.
CoRR, 2022

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data.
CoRR, 2022

Ethical and Fairness Implications of Model Multiplicity.
CoRR, 2022

Spatiotemporal data mining: a survey on challenges and open problems.
Artif. Intell. Rev., 2022

Translating Human Mobility Forecasting through Natural Language Generation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Measuring disentangled generative spatio-temporal representation.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Leveraging language foundation models for human mobility forecasting.
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Modeling long-term dependencies and short-term correlations in patient journey data with temporal attention networks for health prediction.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Event-Aware Multimodal Mobility Nowcasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Special issue on vehicles as sensing devices: from observations to actionable insights.
J. Ambient Intell. Humaniz. Comput., 2021

Federated Self-Supervised Learning of Multisensor Representations for Embedded Intelligence.
IEEE Internet Things J., 2021

Modelling Memory for Individual Re-identification in Decentralised Mobile Contact Tracing Applications.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

GCCN: Global Context Convolutional Network.
CoRR, 2021

Signature-Graph Networks.
CoRR, 2021

Evolutionary Ensemble Learning for Multivariate Time Series Prediction.
CoRR, 2021

Investigating the Reliability of Self-report Survey in the Wild: The Quest for Ground Truth.
CoRR, 2021

Towards Social Role-Based Interruptibility Management.
CoRR, 2021

Understanding occupants' behaviour, engagement, emotion, and comfort indoors with heterogeneous sensors and wearables.
CoRR, 2021

Learning Spatio-Temporal Behavioural Representations for Urban Activity Forecasting.
Proceedings of the Companion of The Web Conference 2021, 2021

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

MoParkeR : Multi-objective Parking Recommendation.
Proceedings of the SSDBM 2021: 33rd International Conference on Scientific and Statistical Database Management, 2021

FADACS: A Few-Shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications, 2021

TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FFA-IR: Towards an Explainable and Reliable Medical Report Generation Benchmark.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series.
Proceedings of the IEEE International Conference on Data Mining, 2021

Investigating the Reliability of Self-report Data in the Wild: The Quest for Ground Truth.
Proceedings of the UbiComp/ISWC '21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, 2021

CoSEM: Contextual and Semantic Embedding for App Usage Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Incorporating LSTM Auto-Encoders in Optimizations to Solve Parking Officer Patrolling Problem.
ACM Trans. Spatial Algorithms Syst., 2020

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors.
ACM Trans. Sens. Networks, 2020

Evolutionary model construction for electricity consumption prediction.
Neural Comput. Appl., 2020

Solving multiple travelling officers problem with population-based optimization algorithms.
Neural Comput. Appl., 2020

SmartMeeting: An Novel Mobile Voice Meeting Minutes Generation and Analysis System.
Mob. Networks Appl., 2020

Unsupervised online change point detection in high-dimensional time series.
Knowl. Inf. Syst., 2020

An Ambient-Physical System to Infer Concentration in Open-Plan Workplace.
IEEE Internet Things J., 2020

n-Gage: Predicting in-class Emotional, Behavioural and Cognitive Engagement in the Wild.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for Processing Heterogeneous Sensor Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction.
CoRR, 2020

Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data.
CoRR, 2020

Seating preference analysis for hybrid workplaces.
CoRR, 2020

grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs.
CoRR, 2020

Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence.
CoRR, 2020

Exploring the Impact of COVID-19 Lockdown on Social Roles and Emotions while Working from Home.
CoRR, 2020

Transfer Learning for Thermal Comfort Prediction in Multiple Cities.
CoRR, 2020

Relation Embedding for Personalised POI Recommendation.
CoRR, 2020

Tool-chain for supporting Privacy Risk Assessments.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Relation Embedding for Personalised Translation-Based POI Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life.
Proceedings of the 2020 on International Conference on Multimedia Retrieval, 2020

Approximating Optimisation Solutions for the Travelling Officer Problem with Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Realtime Predictive Patrolling and Routing with Mobility and Emergency Calls Data.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Deep Learning Assisted Memetic Algorithm for Shortest Route Problems.
Proceedings of the Computational Science - ICCS 2020, 2020

DroTrack: High-speed Drone-based Object Tracking Under Uncertainty.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Modelling Regional Crime Risk using Directed Graph of Check-ins.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

G-CREWE: Graph CompREssion With Embedding for Network Alignment.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Using Big Spatial Data for Planning User Mobility.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

QDaS: Quality driven data summarisation for effective storage management in Internet of Things.
J. Parallel Distributed Comput., 2019

Efficient trip scheduling algorithms for groups.
Inf. Syst., 2019

Crime Rate Prediction with Region Risk and Movement Patterns.
CoRR, 2019

Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network.
CoRR, 2019

Predicting Personality Traits From Physical Activity Intensity.
Computer, 2019

COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference.
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, 2019

OccuSpace: Towards a Robust Occupancy Prediction System for Activity Based Workplace.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Improving Experience Sampling with Multi-view User-driven Annotation Prediction.
Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 2019

OnlineAirTrajClus: An Online Aircraft Trajectory Clustering for Tarmac Situation Awareness.
Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 2019

TIARA: technology integrated apnea respiration analyser.
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

Flight Delay Prediction using Airport Situational Awareness Map.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Learning About Work Tasks to Inform Intelligent Assistant Design.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

2018
A Scalable Room Occupancy Prediction with Transferable Time Series Decomposition of CO<sub>2</sub> Sensor Data.
ACM Trans. Sens. Networks, 2018

A Location-Query-Browse Graph for Contextual Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Algorithmic Governance in Smart Cities: The Conundrum and the Potential of Pervasive Computing Solutions.
IEEE Technol. Soc. Mag., 2018

RUP: Large Room Utilisation Prediction with carbon dioxide sensor.
Pervasive Mob. Comput., 2018

Traveling Officer Problem: Managing Car Parking Violations Efficiently Using Sensor Data.
IEEE Internet Things J., 2018

BLEDoorGuard: A Device-Free Person Identification Framework Using Bluetooth Signals for Door Access.
IEEE Internet Things J., 2018

What Will You Do for the Rest of the Day?: An Approach to Continuous Trajectory Prediction.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Crowd-enabled Processing of Trustworthy, Privacy-Enhanced and Personalised Location Based Services with Quality Guarantee.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Crime event prediction with dynamic features.
EPJ Data Sci., 2018

Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces.
EPJ Data Sci., 2018

Wait Time Prediction for Airport Taxis Using Weighted Nearest Neighbor Regression.
IEEE Access, 2018

Data-driven occupant modeling strategies and digital tools enabled by IEA EBC annex 79: poster abstract.
Proceedings of the 5th Conference on Systems for Built Environments, 2018

Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs.
Proceedings of the 5th Conference on Systems for Built Environments, 2018

CoAcT: A Framework for Context-Aware Trip Planning Using Active Transport.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Mining User Behavioral Rules from Smartphone Data Through Association Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Identifying In-App User Actions from Mobile Web Logs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

ProMETheus: An Intelligent Mobile Voice Meeting Minutes System.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Inferring Transportation Mode and Human Activity from Mobile Sensing in Daily Life.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

Evolutionary Multi-objective Ensemble Learning for Multivariate Electricity Consumption Prediction.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Parking Availability Prediction with Long Short Term Memory Model.
Proceedings of the Green, Pervasive, and Cloud Computing - 13th International Conference, 2018

Theft prediction with individual risk factor of visitors.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018

2017
Information gain-based metric for recognizing transitions in human activities.
Pervasive Mob. Comput., 2017

D-Log: A WiFi Log-based differential scheme for enhanced indoor localization with single RSSI source and infrequent sampling rate.
Pervasive Mob. Comput., 2017

A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process.
Pervasive Mob. Comput., 2017

Analyzing Web behavior in indoor retail spaces.
J. Assoc. Inf. Sci. Technol., 2017

CAPRA: A contour-based accessible path routing algorithm.
Inf. Sci., 2017

Shrink: Distance preserving graph compression.
Inf. Syst., 2017

CD-HOC: Indoor Human Occupancy Counting using Carbon Dioxide Sensor Data.
CoRR, 2017

DA-HOC: semi-supervised domain adaptation for room occupancy prediction using CO<sub>2</sub> sensor data.
Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, 2017

Predicting Imbalanced Taxi and Passenger Queue Contexts in Airport.
Proceedings of the 21st Pacific Asia Conference on Information Systems, 2017

Predicting the city foot traffic with pedestrian sensor data.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

Queue Context Prediction Using Taxi Driver Knowledge.
Proceedings of the Knowledge Capture Conference, 2017

Who Opened the Room? Device-Free Person Identification Using Bluetooth Signals in Door Access.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Automated density-based clustering of spatial urban data for interactive data exploration.
Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Multi-resolution Selective Ensemble Extreme Learning Machine for Electricity Consumption Prediction.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Full trajectory prediction: what will you do the rest of the day?
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

SD-HOC: Seasonal Decomposition Algorithm for Mining Lagged Time Series.
Proceedings of the Data Mining, 2017

2016
Clustering Big Spatiotemporal-Interval Data.
IEEE Trans. Big Data, 2016

Efficient meta-heuristics for the Multi-Objective Time-Dependent Orienteering Problem.
Eur. J. Oper. Res., 2016

Smart cities: Intelligent environments and dumb people? Panel summary.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016

CoSDEO 2016: Contact-free ambient sensing - Welcome and committees: Welcome message from the CoSDEO 2016 workshop co-chairs.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

SECC: Simultaneous extraction of context and community from pervasive signals.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016

Human occupancy recognition with multivariate ambient sensors.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

Measuring passers-by engagement with AmPost: a printed interactive audio poster.
Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016

Optimal time window for temporal segmentation of sensor streams in multi-activity recognition.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, 2016

UTE: A Ubiquitous Data Exploration Platform for Mobile Sensing Experiments.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Multivariate electricity consumption prediction with Extreme Learning Machine.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

AutoJammin': Designing Progression in Traffic and Music.
Proceedings of the Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2016

Topical Event Detection on Twitter.
Proceedings of the Databases Theory and Applications, 2016

Urban HCI: (Re)adapting the City Together.
Proceedings of the Companion Publication of the 2014 ACM Conference on Designing Interactive Systems, DIS '16, Brisbane, QLD, Australia, June 04, 2016

2015
Urban computing in the wild: A survey on large scale participation and citizen engagement with ubiquitous computing, cyber physical systems, and Internet of Things.
Int. J. Hum. Comput. Stud., 2015

An Energy-Efficient Inter-organizational Wireless Sensor Data Collection Framework.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Visualization Oriented Spatiotemporal Urban Data Management and Retrieval.
Proceedings of the ACM First International Workshop on Understanding the City with Urban Informatics, 2015

Heuristic evolution with Genetic Programming for Traveling Thief Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Genetic Programming for Channel Selection from Multi-stream Sensor Data with Application on Learning Risky Driving Behaviours.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Visualization of wireless sensor networks using ZigBee's Received Signal Strength Indicator (RSSI) for indoor localization and tracking.
Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

Navigating multiple augmented reality overlays through occlusion-based triggers.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

Day type classification using cell tower connectivity data from smartphones.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

VDIM: vector-based diffusion and interpolation matrix for computing region-based crowdsourced ratings: towards safe route selection for human navigation.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

Phone based fall detection by genetic programming.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

EnviS Tag, Scan, View: A Location-Based App for Visualizing Spatio-temporal Data from Sensor Cloud.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

Design and evaluation of smart wearable undergarment for monitoring physiological extremes in firefighting.
Proceedings of the ISWC'14, 2014

2013
emoTicSpace: when the built environments get emotional...
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Lumina: a soft kinetic material for morphing architectural skins and organic user interfaces.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Learning Risky Driver Behaviours from Multi-Channel Data Streams Using Genetic Programming.
Proceedings of the AI 2013: Advances in Artificial Intelligence, 2013

2011
Transafe: a crowdsourced mobile platform for crime and safety perception management.
SIGCAS Comput. Soc., 2011

Form fostering: A novel design approach for interacting with parametric models in the embodied virtuality.
J. Inf. Technol. Constr., 2011

2010
Software Openness: Evaluating Parameters of Parametric Modeling Tools to Support Creativity and Multidisciplinary Design Integration.
Proceedings of the Computational Science and Its Applications, 2010

Towards Adaptive Mobile Mashups: Opportunities for Designing Effective Persuasive Technology on the Road.
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2010

2008
Road Intersections as Pervasive Computing Environments: Towards a Multiagent Real-Time Collision Warning System.
Proceedings of the Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 2008

2007
Simulated Intersection Environment and Learning of Collision and Traffic Data in the U&I Aware Framework.
Proceedings of the Ubiquitous Intelligence and Computing, 4th International Conference, 2007

Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2007

U&I Aware: A Framework Using Data Mining and Collision Detection to Increase Awareness for Intersection Users.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2005
Context-Aware Ubiquitous Data Mining Based Agent Model for Intersection Safety.
Proceedings of the Embedded and Ubiquitous Computing - EUC 2005 Workshops, 2005

2004
UML Documentation Support for XML Schema.
Proceedings of the 15th Australian Software Engineering Conference (ASWEC 2004), 2004

Graphical Representation of XML Schema.
Proceedings of the Advanced Web Technologies and Applications, 2004


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