Dinh Q. Phung
Orcid: 0000-0002-9977-8247Affiliations:
- 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 378 papers
between 2002 and 2024.
Collaborative distances:
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Bibliography
2024
ACM Trans. Softw. Eng. Methodol., March, 2024
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities.
Empir. Softw. Eng., February, 2024
CoRR, 2024
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts.
CoRR, 2024
CoRR, 2024
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.
CoRR, 2024
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
Neurocomputing, October, 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
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation.
CoRR, 2023
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
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
Proceedings of the Companion Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023
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
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the Semantic Web - 20th International Conference, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance.
CoRR, 2022
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
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
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
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
Proceedings of the Interspeech 2022, 2022
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 30th European Signal Processing Conference, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
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
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
J. Mach. Learn. Res., 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
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
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
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
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
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
CoRR, 2020
MED-TEX: Transferring and Explaining Knowledge with Less Data from Pretrained Medical Imaging Models.
CoRR, 2020
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
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
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
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
Knowl. Inf. Syst., 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.
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
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
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
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment.
Knowl. Based Syst., 2018
Knowl. Inf. Syst., 2018
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding.
J. Medical Syst., 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
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
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of The 10th Asian Conference on Machine Learning, 2018
Proceedings of The 10th Asian Conference on Machine Learning, 2018
2017
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
J. Mach. Learn. Res., 2017
J. Biomed. Informatics, 2017
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
Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization.
CoRR, 2017
CoRR, 2017
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
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
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
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017
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
Pattern Recognit. Lett., 2016
Multim. Tools Appl., 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
Knowl. Inf. Syst., 2016
A new transfer learning framework with application to model-agnostic multi-task learning.
Knowl. Inf. Syst., 2016
J. Biomed. Informatics, 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
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
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
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2016
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
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
Proceedings of the 28th Australian Conference on Computer-Human Interaction, 2016
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
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
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
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
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
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
Proceedings of the eHealth 360°, 2016
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
IEEE J. Biomed. Health Informatics, 2015
Autism Blogs: Expressed Emotion, Language Styles and Concerns in Personal and Community Settings.
IEEE Trans. Affect. Comput., 2015
A predictive framework for modeling healthcare data with evolving clinical interventions.
Stat. Anal. Data Min., 2015
Pattern Recognit., 2015
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
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
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
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
Proceedings of the International Joint Conference, 2015
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
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
Proceedings of The 7th Asian Conference on Machine Learning, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
IEEE Trans. Signal Process., 2014
IEEE Trans. Affect. Comput., 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
Proceedings of the Web Information Systems Engineering - WISE 2014, 2014
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
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
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
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
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
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 17th International Conference on Information Fusion, 2014
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014
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
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
2013
IEEE Trans. Multim., 2013
Event extraction using behaviors of sentiment signals and burst structure in social media.
Knowl. Inf. Syst., 2013
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
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
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
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 IEEE Eighth International Conference on Intelligent Sensors, 2013
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
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
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013
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
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013
Proceedings of the Asian Conference on Machine Learning, 2013
2012
Proceedings of the 4th Asian Conference on Machine Learning, 2012
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
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
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012
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
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the 3rd Asian Conference on Machine Learning, 2011
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
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
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011
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
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
Proceedings of the International Conference on Human Factors in Computing Systems, 2011
2010
CoRR, 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of second ACM SIGMM workshop on Social media, 2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2009
Artif. Intell., 2009
Proceedings of the UAI 2009, 2009
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009
Proceedings of the 17th International Conference on Multimedia 2009, 2009
Proceedings of the first SIGMM workshop on Social media, 2009
2008
Proceedings of the First International Workshop on Location and the Web, 2008
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
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Data Mining and Analytics 2008, 2008
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Proceedings of the Data Mining and Analytics 2007, 2007
2006
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
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
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
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002
Proceedings of the 16th International Conference on Pattern Recognition, 2002