Truyen Tran

CoRR, 2024

Enhancing Length Extrapolation in Sequential Models with Pointer-Augmented Neural Memory.

[BibT_eX]

[DOI]

CoRR, 2024

Diversifying Training Pool Predictability for Zero-shot Coordination: A Theory of Mind Approach.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Revisiting the Dataset Bias Problem from a Statistical Perspective.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Root Cause Explanation of Outliers under Noisy Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Balanced Q-learning: Combining the influence of optimistic and pessimistic targets.

[BibT_eX]

[DOI]

Artif. Intell., December, 2023

Robust and Interpretable General Movement Assessment Using Fidgety Movement Detection.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, October, 2023

Learning to discover medicines.

[BibT_eX]

[DOI]

Tri Minh Nguyen

Thin Nguyen

Int. J. Data Sci. Anal., September, 2023

Explaining Black Box Drug Target Prediction Through Model Agnostic Counterfactual Samples.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

LaGR-SEQ: Language-Guided Reinforcement Learning with Sample-Efficient Querying.

[BibT_eX]

[DOI]

Buddhika Laknath Semage

CoRR, 2023

Guiding Visual Question Answering with Attention Priors.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Vision: Requirements Engineering for Software Development in Aged Care.

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

Social Motivation for Modelling Other Agents under Partial Observability in Decentralised Training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Out-of-distribution Generalization with Indirection Representations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Memory-Augmented Theory of Mind Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

GEFA: Early Fusion Approach in Drug-Target Affinity Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring.

[BibT_eX]

[DOI]

Tri Minh Nguyen

Thin Nguyen

Briefings Bioinform., 2022

Functional Indirection Neural Estimator for Better Out-of-distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Momentum Adversarial Distillation: Handling Large Distribution Shifts in Data-Free Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generative Pseudo-Inverse Memory.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Video Dialog as Conversation About Objects Living in Space-Time.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Effective and Robust Neural Trojan Defenses via Input Filtering.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Persistent-Transient Duality in Human Behavior Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Learning to Transfer Role Assignment Across Team Sizes.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Learning Theory of Mind via Dynamic Traits Attribution.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Automatic Feature Learning for Predicting Vulnerable Software Components.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2021

A Spatio-Temporal Attention-Based Model for Infant Movement Assessment From Videos.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

PAN: Personalized Annotation-Based Networks for the Prediction of Breast Cancer Relapse.

[BibT_eX]

[DOI]

Thin Nguyen

Samuel C. Lee

Thomas P. Quinn

Buu Minh Thanh Truong

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Hierarchical Conditional Relation Networks for Multimodal Video Question Answering.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

Automatically recommending components for issue reports using deep learning.

[BibT_eX]

[DOI]

Chaiyong Ragkhitwetsagul

Empir. Softw. Eng., 2021

Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

Goal-driven Long-Term Trajectory Prediction.

[BibT_eX]

[DOI]

Hung Tran

Vuong Le

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Fast Conditional Network Compression Using Bayesian HyperNetworks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Variational Hyper-encoding Networks.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Knowledge Distillation with Distribution Mismatch.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Model-Based Episodic Memory Induces Dynamic Hybrid Controls.

[BibT_eX]

[DOI]

Majid Abdolshah

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

From Deep Learning to Deep Reasoning.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Object-Centric Representation Learning for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Object-oriented Spatio-Temporal Reasoning for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

DeepProcess: Supporting Business Process Execution Using a MANN-Based Recommender System.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 19th International Conference, 2021

Clustering by Maximizing Mutual Information Across Views.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Asynchronous and Sparse Human-Object Interaction in Videos.

[BibT_eX]

[DOI]

Vuong Le

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Logically Consistent Loss for Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2020

Toward a Generalization Metric for Deep Generative Models.

[BibT_eX]

[DOI]

CoRR, 2020

HyperVAE: A Minimum Description Length Variational Hyper-Encoding Network.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Anomaly Detection on Temporal Multiway Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Catastrophic forgetting and mode collapse in GANs.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Neural Reasoning, Fast and Slow, for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Transferable Domain Priors for Safe Exploration in Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dynamic Language Binding in Relational Visual Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Self-Attentive Associative Memory.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Neural Stored-program Memory.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Theory and Evaluation Metrics for Learning Disentangled Representations.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Hierarchical Conditional Relation Networks for Video Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Abstract and Predict Human Actions.

[BibT_eX]

[DOI]

Vuong Le

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019

A Deep Learning Model for Estimating Story Points.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2019

Attentional multilabel learning over graphs: a message passing approach.

[BibT_eX]

[DOI]

Mach. Learn., 2019

Learning to Reason with Relational Video Representation for Question Answering.

[BibT_eX]

[DOI]

CoRR, 2019

Incomplete Conditional Density Estimation for Fast Materials Discovery.

[BibT_eX]

[DOI]

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Lessons learned from using a deep tree-based model for software defect prediction in practice.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Mining Software Repositories, 2019

Graph Transformation Policy Network for Chemical Reaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards effective AI-powered agile project management.

[BibT_eX]

[DOI]

Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, 2019

Improving Generalization and Stability of Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Remember More with Less Memorization.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Predicting Delivery Capability in Iterative Software Development.

[BibT_eX]

[DOI]

IEEE Trans. Software Eng., 2018

Energy-based anomaly detection for mixed data.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2018

Hybrid Generative-Discriminative Models for Inverse Materials Design.

[BibT_eX]

[DOI]

CoRR, 2018

Relational dynamic memory networks.

[BibT_eX]

[DOI]

CoRR, 2018

On catastrophic forgetting and mode collapse in Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Memory-Augmented Neural Networks for Predictive Process Analytics.

[BibT_eX]

[DOI]

CoRR, 2018

A deep tree-based model for software defect prediction.

[BibT_eX]

[DOI]

CoRR, 2018

Dual Control Memory Augmented Neural Networks for Treatment Recommendations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Variational Memory Encoder-Decoder.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Explainable software analytics.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, 2018

Predicting components for issue reports using deep learning with information retrieval.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Graph Memory Networks for Molecular Activity Prediction.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Knowledge Graph Embedding with Multiple Relation Projections.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

<tt>Deepr</tt>: A Convolutional Net for Medical Records.

[BibT_eX]

[DOI]

Nilmini Wickramasinghe

IEEE J. Biomed. Health Informatics, 2017

Erratum to: Preference Relation-based Markov Random Fields for Recommender Systems.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Preference Relation-based Markov Random Fields for Recommender Systems.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Predicting healthcare trajectories from medical records: A deep learning approach.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2017

Predicting the delay of issues with due dates in software projects.

[BibT_eX]

[DOI]

Empir. Softw. Eng., 2017

Finding Algebraic Structure of Care in Time: A Deep Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Statistical Latent Space Approach for Mixed Data Modelling and Applications.

[BibT_eX]

[DOI]

CoRR, 2017

Graph Classification via Deep Learning with Virtual Nodes.

[BibT_eX]

[DOI]

CoRR, 2017

Automatic feature learning for vulnerability prediction.

[BibT_eX]

[DOI]

CoRR, 2017

One Size Fits Many: Column Bundle for Multi-X Learning.

[BibT_eX]

[DOI]

CoRR, 2017

Matrix-centric Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Hierarchical semi-Markov conditional random fields for deep recursive sequential data.

[BibT_eX]

[DOI]

Artif. Intell., 2017

Deep Learning to Attend to Risk in ICU.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

Column Networks for Collective Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Modelling human preferences for ranking and collaborative filtering: a probabilistic ordered partition approach.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Collaborative filtering via sparse Markov random fields.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Graph-induced restricted Boltzmann machines for document modeling.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Learning deep representation of multityped objects and tasks.

[BibT_eX]

[DOI]

CoRR, 2016

Choice by Elimination via Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2016

Deepr: A Convolutional Net for Medical Records.

[BibT_eX]

[DOI]

Nilmini Wickramasinghe

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.

[BibT_eX]

[DOI]

Nguyen Cong Thuong

CoRR, 2016

Multilevel Anomaly Detection for Mixed Data.

[BibT_eX]

[DOI]

CoRR, 2016

A deep language model for software code.

[BibT_eX]

[DOI]

CoRR, 2016

DeepSoft: a vision for a deep model of software.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

Neural Choice by Elimination via Highway Networks.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016

DeepCare: A Deep Dynamic Memory Model for Predictive Medicine.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Preterm Birth Prediction: Stable Selection of Interpretable Rules from High Dimensional Data.

[BibT_eX]

[DOI]

Proceedings of the 1st Machine Learning in Health Care, 2016

Faster training of very deep networks via p-norm gates.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Forecasting Patient Outflow from Wards having No Real-Time Clinical Data.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Stabilizing Linear Prediction Models Using Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

Outlier Detection on Mixed-Type Data: An Energy-Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

Stabilizing High-Dimensional Prediction Models Using Feature Graphs.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2015

Stabilized sparse ordinal regression for medical risk stratification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM).

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2015

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

[BibT_eX]

[DOI]

J. Heuristics, 2015

Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Characterization and Prediction of Issue-Related Risks in Software Projects.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015

Predicting Delays in Software Projects Using Networked Classification (T).

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015

Who Will Answer My Question on Stack Overflow?

[BibT_eX]

[DOI]

Proceedings of the 24th Australasian Software Engineering Conference, 2015

Tensor-Variate Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Permutation Models for Collaborative Ranking.

[BibT_eX]

[DOI]

CoRR, 2014

MCMC for Hierarchical Semi-Markov Conditional Random Fields.

[BibT_eX]

[DOI]

CoRR, 2014

Learning Structured Outputs from Partial Labels using Forest Ensemble.

[BibT_eX]

[DOI]

CoRR, 2014

Learning Rank Functionals: An Empirical Study.

[BibT_eX]

[DOI]

CoRR, 2014

Global optimization using Lévy flights.

[BibT_eX]

[DOI]

Trung Thanh Nguyen

Hoang Linh Nguyen

CoRR, 2014

Human Activity Learning and Segmentation using Partially Hidden Discriminative Models.

[BibT_eX]

[DOI]

Hung Bui

CoRR, 2014

Boosted Markov Networks for Activity Recognition.

[BibT_eX]

[DOI]

Hung Bui

CoRR, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

A framework for feature extraction from hospital medical data with applications in risk prediction.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

iPoll: Automatic Polling Using Online Search.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2014, 2014

Ordinal Random Fields for Recommender Systems.

[BibT_eX]

[DOI]

Shaowu Liu

Gang Li

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2013

Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

An integrated framework for suicide risk prediction.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Thurstonian Boltzmann Machines: Learning from Multiple Inequalities.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Learning sparse latent representation and distance metric for image retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

Learning Parts-based Representations with Nonnegative Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Learning From Ordered Sets and Applications in Collaborative Ranking.

[BibT_eX]

[DOI]

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 4th Asian Conference on Machine Learning, 2012

ConeRANK: Ranking as Learning Generalized Inequalities

[BibT_eX]

[DOI]

Duc Son Pham

CoRR, 2012

Learning Boltzmann Distance Metric for Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

Embedded Restricted Boltzmann Machines for fusion of mixed data types and applications in social measurements analysis.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Information Fusion, 2012

A Sequential Decision Approach to Ordinal Preferences in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Mixed-Variate Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

Probabilistic Models over Ordered Partitions with Applications in Document Ranking and Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2010

Probabilistic Models over Ordered Partitions with Application in Learning to Rank

[BibT_eX]

[DOI]

CoRR, 2010

Classification and Pattern Discovery of Mood in Weblogs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Hyper-community detection in the blogosphere.

[BibT_eX]

[DOI]

Proceedings of second ACM SIGMM workshop on Social media, 2010

Nonnegative shared subspace learning and its application to social media retrieval.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Ordinal Boltzmann Machines for Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the UAI 2009, 2009

2008

Constrained Sequence Classification for Lexical Disambiguation.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Learning Discriminative Sequence Models from Partially Labelled Data for Activity Recognition.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Preference Networks: Probabilistic Models for Recommendation Systems.

[BibT_eX]

[DOI]