Dinh Q. Phung

Orcid: 0000-0002-9977-8247

Affiliations:
  • Monash University, Melbourne, Victoria, Australia
  • Deakin University, Center of Pattern Recognition and Data Analytics, Australia


According to our database1, Dinh Q. Phung authored at least 379 papers between 2002 and 2024.

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Bibliography

2024
Vision Transformer Inspired Automated Vulnerability Repair.
ACM Trans. Softw. Eng. Methodol., March, 2024

AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities.
Empir. Softw. Eng., February, 2024

Taming Stable Diffusion for Text to 360{\deg} Panorama Image Generation.
CoRR, 2024

Text-Enhanced Data-free Approach for Federated Class-Incremental Learning.
CoRR, 2024

Diversity-Aware Agnostic Ensemble of Sharpness Minimizers.
CoRR, 2024

Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts.
CoRR, 2024

Optimal Transport for Structure Learning Under Missing Data.
CoRR, 2024

Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs.
CoRR, 2024

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.
CoRR, 2024

Frequency Attention for Knowledge Distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types.
IEEE Trans. Software Eng., October, 2023

Contrastively enforcing distinctiveness for multi-label image classification.
Neurocomputing, October, 2023

Building and Nurturing AI Development in Vietnam.
Commun. ACM, July, 2023

Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay.
CoRR, 2023

KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All.
CoRR, 2023

Robust Contrastive Learning With Theory Guarantee.
CoRR, 2023

PhoGPT: Generative Pre-training for Vietnamese.
CoRR, 2023

Systematic Assessment of Factual Knowledge in Large Language Models.
CoRR, 2023

Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation.
CoRR, 2023

RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization.
CoRR, 2023

Towards Generalising Neural Topical Representations.
CoRR, 2023

Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities.
CoRR, 2023

Learning Directed Graphical Models with Optimal Transport.
CoRR, 2023

Sharpness & Shift-Aware Self-Supervised Learning.
CoRR, 2023

Active Continual Learning: Labelling Queries in a Sequence of Tasks.
CoRR, 2023

Generating Adversarial Examples with Task Oriented Multi-Objective Optimization.
CoRR, 2023

Hyperbolic Geometry in Computer Vision: A Survey.
CoRR, 2023

Vector Quantized Wasserstein Auto-Encoder.
CoRR, 2023

Flat Seeking Bayesian Neural Networks.
CoRR, 2023

Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation.
CoRR, 2023

Adversarial local distribution regularization for knowledge distillation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Model and Feature Diversity for Bayesian Neural Networks in Mutual Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Flat Seeking Bayesian Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimal Transport Model Distributional Robustness.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Vietnamese Spelling Correction System.
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Vector Quantized Wasserstein Auto-Encoder.
Proceedings of the International Conference on Machine Learning, 2023

Open-Vocabulary Multi-label Image Classification with Pretrained Vision-Language Model.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

An Additive Instance-Wise Approach to Multi-class Model Interpretation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2023

Two-View Graph Neural Networks for Knowledge Graph Completion.
Proceedings of the Semantic Web - 20th International Conference, 2023

Systematic Assessment of Factual Knowledge in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Global-Local Regularization Via Distributional Robustness.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Robust Variational Learning for Multiclass Kernel Models With Stein Refinement.
IEEE Trans. Knowl. Data Eng., 2022

Improving kernel online learning with a snapshot memory.
Mach. Learn., 2022

Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance.
CoRR, 2022

Continual Learning with Optimal Transport based Mixture Model.
CoRR, 2022

Improving Multi-task Learning via Seeking Task-based Flat Regions.
CoRR, 2022

Vision Transformer Visualization: What Neurons Tell and How Neurons Behave?
CoRR, 2022

Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations.
CoRR, 2022

An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability.
CoRR, 2022

Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle.
CoRR, 2022

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation.
CoRR, 2022

An Additive Instance-Wise Approach to Multi-class Model Interpretation.
CoRR, 2022

High-Quality Pluralistic Image Completion via Code Shared VQGAN.
CoRR, 2022

Global-Local Regularization Via Distributional Robustness.
CoRR, 2022

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.
CoRR, 2022

QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Universal Graph Transformer Self-Attention Networks.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?
Proceedings of the Seventh Conference on Machine Translation, 2022

Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

VulRepair: a T5-based automated software vulnerability repair.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Stochastic Multiple Target Sampling Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Vietnamese Speech-based Question Answering over Car Manuals.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022

MED-TEX: Transfer and Explain Knowledge with Less Data from Pretrained Medical Imaging Models.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

A Vietnamese-English Neural Machine Translation System.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

On Transportation of Mini-batches: A Hierarchical Approach.
Proceedings of the International Conference on Machine Learning, 2022

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Improved speech emotion recognition based on music-related audio features.
Proceedings of the 30th European Signal Processing Conference, 2022

Bridging Global Context Interactions for High-Fidelity Image Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Particle-based Adversarial Local Distribution Regularization.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sobolev Transport: A Scalable Metric for Probability Measures with Graph Metrics.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
On efficient multilevel Clustering via Wasserstein distances.
J. Mach. Learn. Res., 2021

Model Fusion of Heterogeneous Neural Networks via Cross-Layer Alignment.
CoRR, 2021

On Label Shift in Domain Adaptation via Wasserstein Distance.
CoRR, 2021

Elastic Architecture Search for Diverse Tasks with Different Resources.
CoRR, 2021

Multi-Label Image Classification with Contrastive Learning.
CoRR, 2021

Text Generation with Deep Variational GAN.
CoRR, 2021

Improved and Efficient Text Adversarial Attacks using Target Information.
CoRR, 2021

BoMb-OT: On Batch of Mini-batches Optimal Transport.
CoRR, 2021

Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning.
CoRR, 2021

Most: multi-source domain adaptation via optimal transport for student-teacher learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exploiting Domain-Specific Features to Enhance Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Information-theoretic Source Code Vulnerability Highlighting.
Proceedings of the International Joint Conference on Neural Networks, 2021

Topic Modelling Meets Deep Neural Networks: A Survey.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Optimal Transport for Deep Generative Models: State of the Art and Research Challenges.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

LAMDA: Label Matching Deep Domain Adaptation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Topic Model via Optimal Transport.
Proceedings of the 9th International Conference on Learning Representations, 2021

STEM: An approach to Multi-source Domain Adaptation with Guarantees.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Quaternion Graph Neural Networks.
Proceedings of the Asian Conference on Machine Learning, 2021

Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Pair-based Uncertainty and Diversity Promoting Early Active Learning for Person Re-identification.
ACM Trans. Intell. Syst. Technol., 2020

Using spatiotemporal distribution of geocoded Twitter data to predict US county-level health indices.
Future Gener. Comput. Syst., 2020

Towards Understanding Pixel Vulnerability under Adversarial Attacks for Images.
CoRR, 2020

Neural Sinkhorn Topic Model.
CoRR, 2020

MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models.
CoRR, 2020

A Self-attention Network Based Node Embedding Model.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Code Action Network for Binary Function Scope Identification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Code Pointer Network for Binary Function Scope Identification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Stein Variational Gradient Descent with Variance Reduction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Explain2Attack: Text Adversarial Attacks via Cross-Domain Interpretability.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Parameterized Rate-Distortion Stochastic Encoder.
Proceedings of the 37th International Conference on Machine Learning, 2020

Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Improving Adversarial Robustness by Enforcing Local and Global Compactness.
Proceedings of the Computer Vision - ECCV 2020, 2020

Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Capsule Network-based Model for Learning Node Embeddings.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Variational Autoencoders for Sparse and Overdispersed Discrete Data.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Relational Memory-based Embedding Model for Triple Classification and Search Personalization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A convolutional neural network-based model for knowledge base completion and its application to search personalization.
Semantic Web, 2019

GoGP: scalable geometric-based Gaussian process for online regression.
Knowl. Inf. Syst., 2019

On Scalable Variant of Wasserstein Barycenter.
CoRR, 2019

Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.
CoRR, 2019

Unsupervised Universal Self-Attention Network for Graph Classification.
CoRR, 2019

Relational Memory-based Knowledge Graph Embedding.
CoRR, 2019

When Can Neural Networks Learn Connected Decision Regions?
CoRR, 2019

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Deep Domain Adaptation for Vulnerable Code Function Identification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Learning Generative Adversarial Networks from Multiple Data Sources.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Three-Player Wasserstein GAN via Amortised Duality.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.
Proceedings of the 7th International Conference on Learning Representations, 2019

Probabilistic Multilevel Clustering via Composite Transportation Distance.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Learning How to Active Learn by Dreaming.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Robust Anomaly Detection in Videos Using Multilevel Representations.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Model-based learning for point pattern data.
Pattern Recognit., 2018

LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment.
Knowl. Based Syst., 2018

Discovering topic structures of a temporally evolving document corpus.
Knowl. Inf. Syst., 2018

Academia versus social media: A psycho-linguistic analysis.
J. Comput. Sci., 2018

Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding.
J. Medical Syst., 2018

Theoretical Perspective of Deep Domain Adaptation.
CoRR, 2018

Detection of Unknown Anomalies in Streaming Videos with Generative Energy-based Boltzmann Models.
CoRR, 2018

Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Learning Graph Representation via Frequent Subgraphs.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Robust Bayesian Kernel Machine via Stein Variational Gradient Descent for Big Data.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Geometric Enclosing Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Bayesian Multi-Hyperplane Machine for Pattern Recognition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

MGAN: Training Generative Adversarial Nets with Multiple Generators.
Proceedings of the 6th International Conference on Learning Representations, 2018

Batch Normalized Deep Boltzmann Machines.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Clustering Induced Kernel Learning.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
A Framework for Mixed-Type Multioutcome Prediction With Applications in Healthcare.
IEEE J. Biomed. Health Informatics, 2017

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

Using linguistic and topic analysis to classify sub-groups of online depression communities.
Multim. Tools Appl., 2017

Nonparametric discovery and analysis of learning patterns and autism subgroups from therapeutic data.
Knowl. Inf. Syst., 2017

Effective sparse imputation of patient conditions in electronic medical records for emergency risk predictions.
Knowl. Inf. Syst., 2017

Approximation Vector Machines for Large-scale Online Learning.
J. Mach. Learn. Res., 2017

Predicting healthcare trajectories from medical records: A deep learning approach.
J. Biomed. Informatics, 2017

Streaming clustering with Bayesian nonparametric models.
Neurocomputing, 2017

Estimation of the prevalence of adverse drug reactions from social media.
Int. J. Medical Informatics, 2017

Latent sentiment topic modelling and nonparametric discovery of online mental health-related communities.
Int. J. Data Sci. Anal., 2017

Kernel-based features for predicting population health indices from geocoded social media data.
Decis. Support Syst., 2017

KGAN: How to Break The Minimax Game in GAN.
CoRR, 2017

Analogical-based Bayesian Optimization.
CoRR, 2017

Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization.
CoRR, 2017

Statistical Latent Space Approach for Mixed Data Modelling and Applications.
CoRR, 2017

Energy-based Models for Video Anomaly Detection.
CoRR, 2017

Multi-Generator Generative Adversarial Nets.
CoRR, 2017

Model-based Classification and Novelty Detection For Point Pattern Data.
CoRR, 2017

Model-Based Multiple Instance Learning.
CoRR, 2017

Multiple Instance Learning with the Optimal Sub-Pattern Assignment Metric.
CoRR, 2017

Clustering For Point Pattern Data.
CoRR, 2017

Hierarchical semi-Markov conditional random fields for deep recursive sequential data.
Artif. Intell., 2017

Prediction of Population Health Indices from Social Media using Kernel-based Textual and Temporal Features.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Supervised Restricted Boltzmann Machines.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Energy-Based Localized Anomaly Detection in Video Surveillance.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Dual Discriminator Generative Adversarial Nets.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Discriminative Bayesian Nonparametric Clustering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Large-scale Online Kernel Learning with Random Feature Reparameterization.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multilevel Clustering via Wasserstein Means.
Proceedings of the 34th International Conference on Machine Learning, 2017

GoGP: Fast Online Regression with Gaussian Processes.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Animal Recognition and Identification with Deep Convolutional Neural Networks for Automated Wildlife Monitoring.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Forward-Backward Smoothing for Hidden Markov Models of Point Pattern Data.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

Column Networks for Collective Classification.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A Framework for Classifying Online Mental Health-Related Communities With an Interest in Depression.
IEEE J. Biomed. Health Informatics, 2016

Nonparametric discovery of movement patterns from accelerometer signals.
Pattern Recognit. Lett., 2016

Modelling multilevel data in multimedia: A hierarchical factor analysis approach.
Multim. Tools Appl., 2016

Introduction: special issue of selected papers from ACML 2014.
Mach. Learn., 2016

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records.
Knowl. Based Syst., 2016

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach.
Knowl. Inf. Syst., 2016

Multiple task transfer learning with small sample sizes.
Knowl. Inf. Syst., 2016

Data clustering using side information dependent Chinese restaurant processes.
Knowl. Inf. Syst., 2016

A new transfer learning framework with application to model-agnostic multi-task learning.
Knowl. Inf. Syst., 2016

Stabilizing l<sub>1</sub>-norm prediction models by supervised feature grouping.
J. Biomed. Informatics, 2016

Collaborative filtering via sparse Markov random fields.
Inf. Sci., 2016

Graph-induced restricted Boltzmann machines for document modeling.
Inf. Sci., 2016

Learning deep representation of multityped objects and tasks.
CoRR, 2016

Choice by Elimination via Deep Neural Networks.
CoRR, 2016

An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments.
CoRR, 2016

Scalable Support Vector Machine for Semi-supervised Learning.
CoRR, 2016

Control Matching via Discharge Code Sequences.
CoRR, 2016

Large-Scale Stylistic Analysis of Formality in Academia and Social Media.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Discriminative Cues for Different Stages of Smoking Cessation in Online Community.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Budgeted Semi-supervised Support Vector Machine .
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Scalable Nonparametric Bayesian Multilevel Clustering.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Effect of social capital on emotion, language style and latent topics in online depression community.
Proceedings of the 2016 IEEE RIVF International Conference on Computing & Communication Technologies, 2016

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

Neural Choice by Elimination via Highway Networks.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

Sparse Adaptive Multi-hyperplane Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Toxicity Prediction in Cancer Using Multiple Instance Learning in a Multi-task Framework.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Computer assisted autism interventions for India.
Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016

Dual Space Gradient Descent for Online Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data.
Proceedings of the 1st Machine Learning in Health Care, 2016

Model-based classification and novelty detection for point pattern data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Clustering for point pattern data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Transfer learning for rare cancer problems via Discriminative Sparse Gaussian Graphical model.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Faster training of very deep networks via p-norm gates.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

MCNC: Multi-Channel Nonparametric Clustering from heterogeneous data.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Distributed data augmented support vector machine on Spark.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Stable clinical prediction using graph support vector machines.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Discovering latent affective dynamics among individuals in online mental health-related communities.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Data Mining of Intervention for Children with Autism Spectrum Disorder.
Proceedings of the eHealth 360°, 2016

Learning Multifaceted Latent Activities from Heterogeneous Mobile Data.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Analysing the History of Autism Spectrum Disorder Using Topic Models.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Nonparametric Budgeted Stochastic Gradient Descent.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Textual Cues for Online Depression in Community and Personal Settings.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Stabilizing Linear Prediction Models Using Autoencoder.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Outlier Detection on Mixed-Type Data: An Energy-Based Approach.
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Multiple Kernel Learning with Data Augmentation.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
Stabilizing High-Dimensional Prediction Models Using Feature Graphs.
IEEE J. Biomed. Health Informatics, 2015

Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings.
IEEE Trans. Affect. Comput., 2015

Using Twitter to learn about the autism community.
Soc. Netw. Anal. Min., 2015

A predictive framework for modeling healthcare data with evolving clinical interventions.
Stat. Anal. Data Min., 2015

Mixed-norm sparse representation for multi view face recognition.
Pattern Recognit., 2015

Stabilized sparse ordinal regression for medical risk stratification.
Knowl. Inf. Syst., 2015

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM).
J. Biomed. Informatics, 2015

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso.
J. Biomed. Informatics, 2015

Tree-based iterated local search for Markov random fields with applications in image analysis.
J. Heuristics, 2015

Differentiating Sub-groups of Online Depression-Related Communities Using Textual Cues.
Proceedings of the Web Information Systems Engineering - WISE 2015, 2015

Visual Object Clustering via Mixed-Norm Regularization.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

What shall I share and with Whom? - A Multi-Task Learning Formulation using Multi-Faceted Task Relationships.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Learning Entry Profiles of Children with Autism from Multivariate Treatment Information Using Restricted Boltzmann Machines.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2015

A Bayesian Nonparametric Approach to Multilevel Regression.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Small-Variance Asymptotics for Bayesian Nonparametric Models with Constraints.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Fast One-Class Support Vector Machine for Novelty Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Learning Conditional Latent Structures from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and Its Application to Autism Research Literature.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

A study on the stability of EEG signals for user authentication.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Exploiting feature relationships towards stable feature selection.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Nonparametric discovery of online mental health-related communities.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Multi-View Subspace Clustering for Face Images.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Conditional Entropy Approach to Multichannel EEG-Based Person Identification.
Proceedings of the International Joint Conference, 2015

Investigating the Impacts of Brain Conditions on EEG-Based Person Identification.
Proceedings of the International Joint Conference, 2015

Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Stable Feature Selection with Support Vector Machines.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

Overcoming Data Scarcity of Twitter: Using Tweets as Bootstrap with Application to Autism-Related Topic Content Analysis.
Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

Streaming Variational Inference for Dirichlet Process Mixtures.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

Tensor-Variate Restricted Boltzmann Machines.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter.
IEEE Trans. Signal Process., 2014

Affective and Content Analysis of Online Depression Communities.
IEEE Trans. Affect. Comput., 2014

Social reader: towards browsing the social web.
Multim. Tools Appl., 2014

Mood sensing from social media texts and its applications.
Knowl. Inf. Syst., 2014

MCMC for Hierarchical Semi-Markov Conditional Random Fields.
CoRR, 2014

Learning Structured Outputs from Partial Labels using Forest Ensemble.
CoRR, 2014

Learning Rank Functionals: An Empirical Study.
CoRR, 2014

Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records.
CoRR, 2014

A framework for feature extraction from hospital medical data with applications in risk prediction.
BMC Bioinform., 2014

iPoll: Automatic Polling Using Online Search.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Affective, Linguistic and Topic Patterns in Online Autism Communities.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis.
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

EEG-Based User Authentication Using Artifacts.
Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

Keeping up with Innovation: A Predictive Framework for Modeling Healthcare Data with Evolving Clinical Interventions.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Fixed-lag particle filter for continuous context discovery using Indian Buffet Process.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014

Intervention-Driven Predictive Framework for Modeling Healthcare Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Unsupervised inference of significant locations from WiFi data for understanding human dynamics.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

Investigating the impacts of epilepsy on EEG-based person identification systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Multi-factor EEG-based user authentication.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Nonparametric Discovery of Learning Patterns and Autism Subgroups from Therapeutic Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Bayesian Nonparametric Framework for Activity Recognition Using Accelerometer Data.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Regularizing Topic Discovery in EMRs with Side Information by Using Hierarchical Bayesian Models.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts.
Proceedings of the 31th International Conference on Machine Learning, 2014

A random finite set model for data clustering.
Proceedings of the 17th International Conference on Information Fusion, 2014

Using Shannon Entropy as EEG Signal Feature for Fast Person Identification.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Individualized arrhythmia detection with ECG signals from wearable devices.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Analysis of circadian rhythms from online communities of individuals with affective disorders.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Data-mining twitter and the autism spectrum disorder: A Pilot study.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Preface.
Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013
Connectivity, Online Social Capital, and Mood: A Bayesian Nonparametric Analysis.
IEEE Trans. Multim., 2013

Detection of cross-channel anomalies.
Knowl. Inf. Syst., 2013

Event extraction using behaviors of sentiment signals and burst structure in social media.
Knowl. Inf. Syst., 2013

Regularized nonnegative shared subspace learning.
Data Min. Knowl. Discov., 2013

Sparse Subspace Clustering via Group Sparse Coding.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications, 2013

Clustering Patient Medical Records via Sparse Subspace Representation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Split-Merge Augmented Gibbs Sampling for Hierarchical Dirichlet Processes.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

An integrated framework for suicide risk prediction.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Interactive browsing system for anomaly video surveillance.
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013

Online Social Capital: Mood, Topical and Psycholinguistic Analysis.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

A Study on the Feasibility of Using EEG Signals for Authentication Purpose.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

EEG-Based Age and Gender Recognition Using Tensor Decomposition and Speech Features.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Thurstonian Boltzmann Machines: Learning from Multiple Inequalities.
Proceedings of the 30th International Conference on Machine Learning, 2013

Factorial Multi-Task Learning : A Bayesian Nonparametric Approach.
Proceedings of the 30th International Conference on Machine Learning, 2013

Learning sparse latent representation and distance metric for image retrieval.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Analysis of psycholinguistic processes and topics in online autism communities.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Exploiting side information in distance dependent Chinese restaurant processes for data clustering.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

TOBY: early intervention in autism through technology.
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

EEG-Based User Authentication in Multilevel Security Systems.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Pervasive multimedia for autism intervention.
Pervasive Mob. Comput., 2012

Learning From Ordered Sets and Applications in Collaborative Ranking.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

A Bayesian Nonparametric Joint Factor Model for Learning Shared and Individual Subspaces from Multiple Data Sources.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Funniest thing i've seen since [href=//flic.kr/p/KGEGB]: shifting perspectives from multimedia artefacts to utterances.
Proceedings of the 2012 international workshop on Socially-aware multimedia, 2012

A Sentiment-Aware Approach to Community Formation in Social Media.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Multi-modal abnormality detection in video with unknown data segmentation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A nonparametric Bayesian Poisson gamma model for count data.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning Boltzmann Distance Metric for Face Recognition.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Sparse Subspace Representation for Spectral Document Clustering.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis.
Proceedings of the 15th International Conference on Information Fusion, 2012

Improved subspace clustering via exploitation of spatial constraints.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A Sequential Decision Approach to Ordinal Preferences in Recommender Systems.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Mixed-Variate Restricted Boltzmann Machines.
Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Prediction of Age, Sentiment, and Connectivity from Social Media Text.
Proceedings of the Web Information System Engineering - WISE 2011, 2011

Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Emotional Reactions to Real-World Events in Social Networks.
Proceedings of the New Frontiers in Applied Data Mining, 2011

A Bayesian Framework for Learning Shared and Individual Subspaces from Multiple Data Sources.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Cognitive intervention in autism using multimedia stimulus.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Eventscapes: visualizing events over time with emotive facets.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

Towards Discovery of Influence and Personality Traits through Social Link Prediction.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Detection of Cross-Channel Anomalies from Multiple Data Channels.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

A context-sensitive device to help people with autism cope with anxiety.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010
Discovery of latent subcommunities in a blog's readership.
ACM Trans. Web, 2010

Probabilistic Models over Ordered Partitions with Application in Learning to Rank
CoRR, 2010

Classification and Pattern Discovery of Mood in Weblogs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Hyper-community detection in the blogosphere.
Proceedings of second ACM SIGMM workshop on Social media, 2010

Nonnegative shared subspace learning and its application to social media retrieval.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009
Unsupervised context detection using wireless signals.
Pervasive Mob. Comput., 2009

Efficient duration and hierarchical modeling for human activity recognition.
Artif. Intell., 2009

Ordinal Boltzmann Machines for Collaborative Filtering.
Proceedings of the UAI 2009, 2009

High Accuracy Context Recovery using Clustering Mechanisms.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

Flickr hypergroups.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Social reader: following social networks in the wilds of the blogosphere.
Proceedings of the first SIGMM workshop on Social media, 2009

2008
Sensing and using social context.
ACM Trans. Multim. Comput. Commun. Appl., 2008

"You Tube and I Find" - Personalizing Multimedia Content Access.
Proc. IEEE, 2008

Computable social patterns from sparse sensor data.
Proceedings of the First International Workshop on Location and the Web, 2008

Constrained Sequence Classification for Lexical Disambiguation.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Indoor Location Prediction Using Multiple Wireless Received Signal Strengths.
Proceedings of the Data Mining and Analytics 2008, 2008

The Hidden Permutation Model and Location-Based Activity Recognition.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Preference Networks: Probabilistic Models for Recommendation Systems.
Proceedings of the Data Mining and Analytics 2007, 2007

2006
Extraction of social context and application to personal multimedia exploration.
Proceedings of the 14th ACM International Conference on Multimedia, 2006

A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Human Behavior Recognition with Generic Exponential Family Duration Modeling in the Hidden Semi-Markov Model.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Topic transition detection using hierarchical hidden Markov and semi-Markov models.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Content Structure Discovery in Educational Videos Using Shared Structures in the Hierarchical Hidden Markov Models.
Proceedings of the Structural, 2004

Automatically learning structural units in educational videos with the hierarchical hidden markov models.
Proceedings of the 2004 International Conference on Image Processing, 2004

Learning Hierarchical Hidden Markov Models with General State Hierarchy.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Hierarchical topical segmentation in instructional films based on cinematic expressive functions.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

On the extraction of thematic and dramatic functions of content in educational videos.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002
High level segmentation of instructional videos based on content density.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002

Narrative Structure Analysis with Education and Training Videos for E-Learning.
Proceedings of the 16th International Conference on Pattern Recognition, 2002


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