Fang Chen

Orcid: 0000-0003-4971-8729

Affiliations:
  • University of Technology Sydney, Faculty of Engineering and Information Technology, NSW, Australia
  • National ICT Australia (NICTA), Sydney, Australia


According to our database1, Fang Chen authored at least 276 papers between 2005 and 2024.

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Bibliography

2024
Meta-learning Approaches for Few-Shot Learning: A Survey of Recent Advances.
ACM Comput. Surv., December, 2024

Imitation Learning: Progress, Taxonomies and Challenges.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network.
Int. J. Comput. Vis., May, 2024

Automatic Accident Detection, Segmentation and Duration Prediction Using Machine Learning.
IEEE Trans. Intell. Transp. Syst., February, 2024

Trust-informed Decision-Making Through An Uncertainty-Aware Stacked Neural Networks Framework: Case Study in COVID-19 Classification.
CoRR, 2024

Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing.
CoRR, 2024

Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack.
CoRR, 2024

Interpretable Robotic Manipulation from Language.
CoRR, 2024

Causal Learning for Trustworthy Recommender Systems: A Survey.
CoRR, 2024

Semantic-Preserving Feature Partitioning for Multi-View Ensemble Learning.
CoRR, 2024

A Hierarchical and Disentangling Interest Learning Framework for Unbiased and True News Recommendation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Genetic Imitation Learning by Reward Extrapolation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Enhancing Classification Through Multi-view Synthesis in Multi-Population Ensemble Genetic Programming.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Shadow Gene Guidance: A Novel Approach for Elevating Genetic Programming Classifications and Boosting Predictive Confidence.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

TransFeat-TPP: An Interpretable Deep Covariate Temporal Point Processes.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Chain of Thought Prompting in Vision-Language Model for Vision Reasoning Tasks.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023
Leveraging twitter data to understand nurses' emotion dynamics during the COVID-19 pandemic.
Health Inf. Sci. Syst., December, 2023

AI ethics: from principles to practice.
AI Soc., December, 2023

A review on COVID-19 forecasting models.
Neural Comput. Appl., November, 2023

A comparative study on evolutionary multi-objective algorithms for next release problem.
Appl. Soft Comput., September, 2023

Self-Adaptive Predictive Passenger Flow Modeling for Large-Scale Railway Systems.
IEEE Internet Things J., August, 2023

Dynamic customer segmentation via hierarchical fragmentation-coagulation processes.
Mach. Learn., January, 2023

Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Variational co-embedding learning for attributed network clustering.
Knowl. Based Syst., 2023

Artificial Intelligence Ethics and Trust: From Principles to Practice.
IEEE Intell. Syst., 2023

Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks.
CoRR, 2023

Ethical ChatGPT: Concerns, Challenges, and Commandments.
CoRR, 2023

Genetic Imitation Learning by Reward Extrapolation.
CoRR, 2023

Explaining Imitation Learning through Frames.
CoRR, 2023

GANExplainer: GAN-based Graph Neural Networks Explainer.
CoRR, 2023

Full-Resolution Lung Nodule Localization From Chest X-Ray Images Using Residual Encoder-Decoder Networks.
IEEE Access, 2023

SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

ConGCN: Factorized Graph Convolutional Networks for Consensus Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Effects of Uncertainty and Knowledge Graph on Perception of Fairness.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Are People with Cyber Security Training Worse at Checking Phishing Email Addresses? Testing the Automaticity of Verifying the Sender's Address.
Proceedings of the Human Aspects of Information Security and Assurance, 2023

Extending Boundary Updating Approach for Constrained Multi-objective Optimization Problems.
Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Fair Representation Learning with Unreliable Labels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Exploring Pairwise Relationships Adaptively From Linguistic Context in Image Captioning.
IEEE Trans. Multim., 2022

Boosted Genetic Algorithm Using Machine Learning for Traffic Control Optimization.
IEEE Trans. Intell. Transp. Syst., 2022

Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network.
IEEE Trans. Affect. Comput., 2022

Fairness and Explanation in AI-Informed Decision Making.
Mach. Learn. Knowl. Extr., 2022

De-biased Representation Learning for Fairness with Unreliable Labels.
CoRR, 2022

A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics.
CoRR, 2022

Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation.
CoRR, 2022

A Survey of Facial Capture for Virtual Reality.
IEEE Access, 2022

A Two-Stage Self-adaptive Model for Passenger Flow Prediction on Schedule-Based Railway System.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Domain Generalization by Learning and Removing Domain-specific Features.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Real-time Attention-Augmented Spatio-Temporal Networks for Video-based Driver Activity Recognition.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Effects of Fairness and Explanation on Trust in Ethical AI.
Proceedings of the Machine Learning and Knowledge Extraction, 2022

Does a Compromise on Fairness Exist in Using AI Models?
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Video-Based Student Engagement Estimation via Time Convolution Neural Networks for Remote Learning.
Proceedings of the AI 2021: Advances in Artificial Intelligence, 2022

Are Graph Neural Network Explainers Robust to Graph Noises?
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Joint Input and Output Space Learning for Multi-Label Image Classification.
IEEE Trans. Multim., 2021

An Effective Multiresolution Hierarchical Granular Representation Based Classifier Using General Fuzzy Min-Max Neural Network.
IEEE Trans. Fuzzy Syst., 2021

Detecting Community Depression Dynamics Due to COVID-19 Pandemic in Australia.
IEEE Trans. Comput. Soc. Syst., 2021

Examination of Community Sentiment Dynamics due to COVID-19 Pandemic: A Case Study from a State in Australia.
SN Comput. Sci., 2021

Efficient EM-variational inference for nonparametric Hawkes process.
Stat. Comput., 2021

Exploring region relationships implicitly: Image captioning with visual relationship attention.
Image Vis. Comput., 2021

Analysis and Prediction of COVID-19 Using SIR, SEIQR, and Machine Learning Models: Australia, Italy, and UK Cases.
Inf., 2021

Multi-task learning by hierarchical Dirichlet mixture model for sparse failure prediction.
Int. J. Data Sci. Anal., 2021

Imitation Learning: Progress, Taxonomies and Opportunities.
CoRR, 2021

Facilitating Machine Learning Model Comparison and Explanation Through A Radial Visualisation.
CoRR, 2021

A Multi-task Kernel Learning Algorithm for Survival Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Weak Supervision Network Embedding for Constrained Graph Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Adaptive Graph Co-Attention Networks for Traffic Forecasting.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Improving Users Engagement Detection using End-to-End Spatio-Temporal Convolutional Neural Networks.
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

Artificial Intelligence in Pilot Training and Education - Towards a Machine Learning Aided Instructor Assistant for Flight Simulators.
Proceedings of the HCI International 2021 - Posters - 23rd HCI International Conference, 2021

Failure Prediction for Large-scale Water Pipe Networks Using GNN and Temporal Failure Series.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Graph Compression Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Understanding Relations Between Perception of Fairness and Trust in Algorithmic Decision Making.
Proceedings of the 8th International Conference on Behavioral and Social Computing, 2021

Bias-tolerant Fair Classification.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Analysis and Insights for Myths Circulating on Twitter During the COVID-19 Pandemic.
IEEE Open J. Comput. Soc., 2020

Effects of personality traits on user trust in human-machine collaborations.
J. Multimodal User Interfaces, 2020

Fast multi-resolution segmentation for nonstationary Hawkes process using cumulants.
Int. J. Data Sci. Anal., 2020

Examination of community sentiment dynamics due to covid-19 pandemic: a case study from Australia.
CoRR, 2020

Utilizing machine learning to prevent water main breaks by understanding pipeline failure drivers.
CoRR, 2020

A Survey on Ethical Principles of AI and Implementations.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Energy-Efficient Cluster-based Routing Protocol in Internet of Things Using Swarm Intelligence.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Dynamic Train Demand Estimation and Passenger Assignment.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

An Improved Online Learning Algorithm for General Fuzzy Min-Max Neural Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Simultaneous Customer Segmentation and Behavior Discovery.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Towards Explainability for AI Fairness.
Proceedings of the xxAI - Beyond Explainable AI, 2020

Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

A Data Driven Approach for Leak Detection with Smart Sensors.
Proceedings of the 16th International Conference on Control, 2020

A Radial Visualisation for Model Comparison and Feature Identification.
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019
High-Quality Image Captioning With Fine-Grained and Semantic-Guided Visual Attention.
IEEE Trans. Multim., 2019

Special Issue on Highlights of ACM Intelligent User Interface (IUI) 2017.
ACM Trans. Interact. Intell. Syst., 2019

Collaborative topic regression for predicting topic-based social influence.
Mach. Learn., 2019

Enhancing portfolio return based on sentiment-of-topic.
Data Knowl. Eng., 2019

Scalable Inference for Nonparametric Hawkes Process Using Pólya-Gamma Augmentation.
CoRR, 2019

An Effective Multi-Resolution Hierarchical Granular Representation based Classifier using General Fuzzy Min-Max Neural Network.
CoRR, 2019

Multiple Knowledge Transfer for Cross-Domain Recommendation.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Hawkes Process with Stochastic Triggering Kernel.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Multitask Learning for Sparse Failure Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Online Data Fusion Using Incremental Tensor Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Recovering DTW Distance Between Noise Superposed NHPP.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Do I trust my machine teammate?: an investigation from perception to decision.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Mouse Behavior as an Index of Phishing Awareness.
Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Visual Relationship Attention for Image Captioning.
Proceedings of the International Joint Conference on Neural Networks, 2019

Discriminative Sample Generation for Deep Imbalanced Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Predicting Water Quality for the Woronora Delivery Network with Sparse Samples.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Concept Drift Adaption for Online Anomaly Detection in Structural Health Monitoring.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Effects of Influence on User Trust in Predictive Decision Making.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Physiological Indicators for User Trust in Machine Learning with Influence Enhanced Fact-Checking.
Proceedings of the Machine Learning and Knowledge Extraction, 2019

Optimising Pump Scheduling for Water Distribution Networks.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Revealing User Confidence in Machine Learning-Based Decision Making.
Proceedings of the Human and Machine Learning, 2018

2D Transparency Space - Bring Domain Users and Machine Learning Experts Together.
Proceedings of the Human and Machine Learning, 2018

Water Pipe Failure Prediction: A Machine Learning Approach Enhanced By Domain Knowledge.
Proceedings of the Human and Machine Learning, 2018

Do I Trust a Machine? Differences in User Trust Based on System Performance.
Proceedings of the Human and Machine Learning, 2018

Dynamic Handwriting Signal Features Predict Domain Expertise.
ACM Trans. Interact. Intell. Syst., 2018

End-User Development for Interactive Data Analytics: Uncertainty, Correlation and User Confidence.
IEEE Trans. Affect. Comput., 2018

<i>DecisionMind</i>: revealing human cognition states in data analytics-driven decision making with a multimodal interface.
J. Multimodal User Interfaces, 2018

Twitter user geolocation by filtering of highly mentioned users.
J. Assoc. Inf. Sci. Technol., 2018

Two Methods to Calibrate the Total Travel Demand and Variability for a Regional Traffic Network.
Comput. Aided Civ. Infrastructure Eng., 2018

A Strategic User Equilibrium for Independently Distributed Origin-Destination Demands.
Comput. Aided Civ. Infrastructure Eng., 2018

Fine-Grained and Semantic-Guided Visual Attention for Image Captioning.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

A Refined MISD Algorithm Based on Gaussian Process Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Corrosion Prediction on Sewer Networks with Sparse Monitoring Sites: A Case Study.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Leveraging Local Interactions for Geolocating Social Media Users.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A Graph-Theoretic Summary Evaluation for Rouge.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Size-Invariant Attention Accuracy Metric for Image Captioning with High-Resolution Residual Attention.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Extreme Topic Model for Market eAlert Service.
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

Multimodal behavioral and physiological signals as indicators of cognitive load.
Proceedings of the Handbook of Multimodal-Multisensor Interfaces: Foundations, User Modeling, and Common Modality Combinations, 2018

2017
DAAR: A Discrimination-Aware Association Rule Classifier for Decision Support.
Trans. Large Scale Data Knowl. Centered Syst., 2017

Detecting Users' Cognitive Load by Galvanic Skin Response with Affective Interference.
ACM Trans. Interact. Intell. Syst., 2017

Discovering Congestion Propagation Patterns in Spatio-Temporal Traffic Data.
IEEE Trans. Big Data, 2017

Wrapping practical problems into a machine learning framework: using water pipe failure prediction as a case study.
Int. J. Intell. Syst. Technol. Appl., 2017

A Semantically Motivated Approach to Compute ROUGE Scores.
CoRR, 2017

Topic-based Social Influence Measurement for Social Networks.
Australas. J. Inf. Syst., 2017

Online Engagement for a Healthier You: A Case Study of Web-based Supermarket Health Program.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

A Qualitative Investigation of Bank Employee Experiences of Information Security and Phishing.
Proceedings of the Thirteenth Symposium on Usable Privacy and Security, 2017

Exploring Celebrities on Inferring User Geolocation in Twitter.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Discovering Both Explicit and Implicit Similarities for Cross-Domain Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Adaptive One-Class Support Vector Machine for Damage Detection in Structural Health Monitoring.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

User Trust Dynamics: An Investigation Driven by Differences in System Performance.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Effects of Uncertainty and Cognitive Load on User Trust in Predictive Decision Making.
Proceedings of the Human-Computer Interaction - INTERACT 2017, 2017

Neural net-based and safety-oriented visual analytics for time-spatial data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Unsupervised Matrix-valued Kernel Learning For One Class Classification.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Indexing Cognitive Load using Blood Volume Pulse Features.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

BVP Feature Signal Analysis for Intelligent User Interface.
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 2017

A Multivariate Clustering Approach for Infrastructure Failure Predictions.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Prediction-as-a-Service for Meme Popularity.
Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016
Robust Multimodal Cognitive Load Measurement
Human-Computer Interaction Series, Springer, ISBN: 978-3-319-31700-7, 2016

Constrained differential evolution using generalized opposition-based learning.
Soft Comput., 2016

Soft Hough Forest-ERTs: Generalized Hough Transform based object detection from soft-labelled training data.
Pattern Recognit., 2016

Self-regularized causal structure discovery for trajectory-based networks.
J. Comput. Syst. Sci., 2016

Making machine learning useable by revealing internal states update - a transparent approach.
Int. J. Comput. Sci. Eng., 2016

Robust Bayesian non-parametric dictionary learning with heterogeneous Gaussian noise.
Comput. Vis. Image Underst., 2016

On Improving Informativity and Grammaticality for Multi-Sentence Compression.
CoRR, 2016

Stochastic Patching Process.
CoRR, 2016

Topology-aware illumination design for volume rendering.
BMC Bioinform., 2016

Trust and Reliance Based on System Accuracy.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

TrafficWatch: Real-Time Traffic Incident Detection and Monitoring Using Social Media.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Who Will Be Affected by Supermarket Health Programs? Tracking Customer Behavior Changes via Preference Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Effective Local Metric Learning for Water Pipe Assessment.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Correlation for user confidence in predictive decision making.
Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016

Infinite Hidden Semi-Markov Modulated Interaction Point Process.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bayesian Optimization of Partition Layouts for Mondrian Processes.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Appraising UMLS Coverage for Summarizing Medical Evidence.
Proceedings of the COLING 2016, 2016

Discovering Temporal Purchase Patterns with Different Responses to Promotions.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

On Structural Health Monitoring Using Tensor Analysis and Support Vector Machine with Artificial Negative Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Misplaced Trust: A Bias in Human-Machine Trust Attribution - In Contradiction to Learning Theory.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Enhancing portfolio return based on market-sentiment linked topics.
Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

Visual Analytics of Relations of Multi-Attributes in Big Infrastructure Data.
Proceedings of the 2016 Big Data Visual Analytics, 2016

Interrelationships of Service Orchestrations.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Market-sentiment boosted predictions on multi-type time-series.
Proceedings of the Australasian Computer Science Week Multiconference, 2016

An Efficient Approach for Multi-Sentence Compression.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

Interaction Point Processes via Infinite Branching Model.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

The Ostomachion Process.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

A Query-Based Summarization Service from Multiple News Sources.
Proceedings of the IEEE International Conference on Services Computing, 2016

A Generic Service Framework for Stock Market Prediction.
Proceedings of the IEEE International Conference on Services Computing, 2016

Service Selection Based on Dynamic QoS Networks.
Proceedings of the IEEE International Conference on Services Computing, 2016

2015
Measurable Decision Making with GSR and Pupillary Analysis for Intelligent User Interface.
ACM Trans. Comput. Hum. Interact., 2015

Making machine learning useable.
Int. J. Intell. Syst. Technol. Appl., 2015

A Semi-supervised Learning Approach for Microblog Sentiment Classification.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

On Damage Identification in Civil Structures Using Tensor Analysis.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Investigating User Confidence for Uncertainty Presentation in Predictive Decision Making.
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, 2015

Dynamic Workload Adjustments in Human-Machine Systems Based on GSR Features.
Proceedings of the Human-Computer Interaction - INTERACT 2015, 2015

Safety-oriented visual analytics of people movement.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Metadata Dependent Mondrian Processes.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Spoken Interruptions Signal Productive Problem Solving and Domain Expertise in Mathematics.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Discrimination-Aware Association Rule Mining for Unbiased Data Analytics.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Data Driven Water Pipe Failure Prediction: A Bayesian Nonparametric Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Be Informed and Be Involved: Effects of Uncertainty and Correlation on User's Confidence in Decision Making.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Using Galvanic Skin Response (GSR) to Measure Trust and Cognitive Load in the Text-Chat Environment.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Interactive Mouse Stream as Real-Time Indicator of User's Cognitive Load.
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

Web Service Recommendations Based on Time-Aware Bayesian Networks.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

Discovering Causal Structures from Time Series Data via Enhanced Granger Causality.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Scalable Sentiment Analysis for Microblogs Based on Semantic Scoring.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

A Generic Ranking Service on Scientific Datasets.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

2014
Multilabel Image Classification Via High-Order Label Correlation Driven Active Learning.
IEEE Trans. Image Process., 2014

Water pipe condition assessment: a hierarchical beta process approach for sparse incident data.
Mach. Learn., 2014

Automatic Cognitive Load Detection from Face, Physiology, Task Performance and Fusion During Affective Interference.
Interact. Comput., 2014

Measuring Cognitive Load Using Linguistic Features: Implications for Usability Evaluation and Adaptive Interaction Design.
Int. J. Hum. Comput. Interact., 2014

Trust and cognitive load in the text-chat environment: the role of mouse movement.
Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures, 2014

Combining empirical and machine learning techniques to predict math expertise using pen signal features.
Proceedings of the 2014 ACM workshop on Multimodal Learning Analytics Workshop and Grand Challenge, 2014

Causal Structure Discovery for Spatio-temporal Data.
Proceedings of the Database Systems for Advanced Applications, 2014

Stable Learning in Coding Space for Multi-class Decoding and Its Extension for Multi-class Hypothesis Transfer Learning.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Microblog Topic Contagiousness Measurement and Emerging Outbreak Monitoring.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

An Effective Integrated Method for Learning Big Imbalanced Data.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

Traffic Analysis as a Service via a Unified Model.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
Visual tracking by proto-objects.
Pattern Recognit., 2013

Mutual information-based method for selecting informative feature sets.
Pattern Recognit., 2013

Estimating cognitive workload using wavelet entropy-based features during an arithmetic task.
Comput. Biol. Medicine, 2013

A Bayesian non-parametric viewpoint to visual tracking.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

A weakly supervised approach for object detection based on Soft-Label Boosting.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

A Bayesian Classifier for Learning from Tensorial Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Trust and cooperation in text-based computer-mediated communication.
Proceedings of the Augmentation, Application, Innovation, Collaboration, OzCHI '13, Adelaide, Australia - November 25, 2013

Analysing mouse activity for cognitive load detection.
Proceedings of the Augmentation, Application, Innovation, Collaboration, OzCHI '13, Adelaide, Australia - November 25, 2013

Indexing cognitive workload based on pupillary response under luminance and emotional changes.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Automatic and continuous user task analysis via eye activity.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

GSR and Blink Features for Cognitive Load Classification.
Proceedings of the Human-Computer Interaction - INTERACT 2013, 2013

The Effect of Stress on Cognitive Load Measurement.
Proceedings of the Human-Computer Interaction - INTERACT 2013, 2013

Mental Workload Classification via Online Writing Features.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

An investigation of pupil-based cognitive load measurement with low cost infrared webcam under light reflex interference.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Multimodal behavior and interaction as indicators of cognitive load.
ACM Trans. Interact. Intell. Syst., 2012

Analysis of Collaborative Communication for Linguistic Cues of Cognitive Load.
Hum. Factors, 2012

Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks.
Proceedings of the 24th Australian Computer-Human Interaction Conference, OzCHI '12, Melbourne, VIC, Australia - November 26, 2012

Classification of Working Memory Load Using Wavelet Complexity Features of EEG Signals.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Characterization of memory load in an arithmetic task using non-linear analysis of EEG signals.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
A comparison of four methods for cognitive load measurement.
Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction, OzCHI '11, Canberra, Australia, November 28, 2011

Cognitive load evaluation of handwriting using stroke-level features.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Eye activity as a measure of human mental effort in HCI.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Pupillary Response Based Cognitive Workload Measurement under Luminance Changes.
Proceedings of the Human-Computer Interaction - INTERACT 2011, 2011

Measuring Cognitive Workload with Low-Cost Electroencephalograph.
Proceedings of the Human-Computer Interaction - INTERACT 2011, 2011

Freeform pen-input as evidence of cognitive load and expertise.
Proceedings of the 13th International Conference on Multimodal Interfaces, 2011

Characterizing working memory load using EEG delta activity.
Proceedings of the 19th European Signal Processing Conference, 2011

Spectral EEG featuresfor evaluating cognitive load.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Pupillary response based cognitive workload index under luminance and emotional changes.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010
Language-Dependent Contribution Measuring and Weighting for Combining Likelihood Scores in Language Identification Systems.
J. Signal Process. Syst., 2010

Using language complexity to measure cognitive load for adaptive interaction design.
Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010

Cognitive skills learning: pen input patterns in computer-based athlete training.
Proceedings of the 12th International Conference on Multimodal Interfaces / 7. International Workshop on Machine Learning for Multimodal Interaction, 2010

Teaching athletes cognitive skills: detecting cognitive load in speech input.
Proceedings of the 2010 British Computer Society Conference on Human-Computer Interaction, 2010

2009
Skipping spare information in multimodal inputs during multimodal input fusion.
Proceedings of the 14th International Conference on Intelligent User Interfaces, 2009

Cognitive Load Measurement from User's Linguistic Speech Features for Adaptive Interaction Design.
Proceedings of the Human-Computer Interaction, 2009

Voiced/unvoiced pattern-based duration modeling for language identification.
Proceedings of the IEEE International Conference on Acoustics, 2009

Phase based features for cognitive load measurement system.
Proceedings of the IEEE International Conference on Acoustics, 2009

Building a Practical Multimodal System with a Multimodal Fusion Module.
Proceedings of the Human-Computer Interaction. Novel Interaction Methods and Techniques, 2009

2008
Think before you talk: an empirical study of relationship between speech pauses and cognitive load.
Proceedings of the 20th Australasian Computer-Human Interaction Conference, 2008

Investigating speech features and automatic measurement of cognitive load.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Designing Cognition-Adaptive Human-Computer Interface for Mission-Critical Systems.
Proceedings of the Information Systems Development, 2008

Introducing a FM based feature to hierarchical language identification.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Exploring classification techniques in speech based cognitive load monitoring.
Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Speech-based cognitive load monitoring system.
Proceedings of the IEEE International Conference on Acoustics, 2008

Improvements on hierarchical language identification based on automatic language clustering.
Proceedings of the IEEE International Conference on Acoustics, 2008

The hinge between input and output: understanding the multimodal input fusion results in an agent-based multimodal presentation system.
Proceedings of the Extended Abstracts Proceedings of the 2008 Conference on Human Factors in Computing Systems, 2008

2007
An Efficient Multimodal Language Processor for Parallel Input Strings in Multimodal Input Fusion.
Proceedings of the First IEEE International Conference on Semantic Computing (ICSC 2007), 2007

Automatic cognitive load detection from speech features.
Proceedings of the 2007 Australasian Computer-Human Interaction Conference, 2007

An efficient unification-based multimodal language processor in multimodal input fusion.
Proceedings of the 2007 Australasian Computer-Human Interaction Conference, 2007

Potential speech features for cognitive load measurement.
Proceedings of the 2007 Australasian Computer-Human Interaction Conference, 2007

Hierarchical language identification based on automatic language clustering.
Proceedings of the 8th Annual Conference of the International Speech Communication Association, 2007

Multimodal human-machine interface and user cognitive load measurement.
Proceedings of the 10th IFAC/IFIP/IFORS/IEA Symposium on Analysis, 2007

Using pen input features as indices of cognitive load.
Proceedings of the 9th International Conference on Multimodal Interfaces, 2007

Towards Automatic Cognitive Load Measurement from Speech Analysis.
Proceedings of the Human-Computer Interaction. Interaction Design and Usability, 2007

An Input-Parsing Algorithm Supporting Integration of Deictic Gesture in Natural Language Interface.
Proceedings of the Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, 2007

Exploiting Speech-Gesture Correlation in Multimodal Interaction.
Proceedings of the Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments, 2007

Galvanic skin response (GSR) as an index of cognitive load.
Proceedings of the Extended Abstracts Proceedings of the 2007 Conference on Human Factors in Computing Systems, 2007

A novel weighting technique for fusing Language Identification systems based on pair-wise performances.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

2006
ViCAT: Visualisation and Interaction on a Collaborative Access Table.
Proceedings of the First IEEE International Workshop on Horizontal Interactive Human-Computer Systems (Tabletop 2006), 2006

A novel method for multi-sensory data fusion in multimodal human computer interaction.
Proceedings of the 2006 Australasian Computer-Human Interaction Conference, 2006

Examining the redundancy of multimodal input.
Proceedings of the 2006 Australasian Computer-Human Interaction Conference, 2006

Workshop on effective multimodal dialogue interfaces.
Proceedings of the 11th International Conference on Intelligent User Interfaces, 2006

Multimodal Human-Computer Interfaces for Incident Handling in Metropolitan Transport Management Centre.
Proceedings of the IEEE Intelligent Transportation Systems Conference, 2006

Combining Cepstral and Prosodic Features in Language Identification.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
User interface design and evaluation for control room.
Proceedings of the 2005 Australasian Computer-Human Interaction Conference, 2005

A study of manual gesture-based selection for the PEMMI multimodal transport management interface.
Proceedings of the 7th International Conference on Multimodal Interfaces, 2005


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