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Dr Dinh Phung

STAFF PROFILE

Position

Associate Professor

Faculty

Faculty of Sci Eng & Built Env

Department

Patt Recogntn & Data Analytics

Campus

Geelong Waurn Ponds Campus

Contact

dinh.phung@deakin.edu.au
+61 3 522 72082

Biography

Dinh Phung is an Associate Professor of Computer Science and Deputy Director of the Centre for Pattern Recognition and Data Analytics, Deakin University. He is a leading researcher at the forefront of theoretical and applied machine learning research with a view to make lasting contributions to real-world problems. His research has attracted regular National Competitive Grant from the ARC (Australian Research Council) in the past 10 years. Machine learning is the science behind big data, data mining, data science and artificial intelligence. Over the last decade machine learning has grown to become a fundamental technology driving the Web 2.0 innovations in many areas of life and society. Machine Learning enables self-driving cars, Siri personal assistant in the iPhone, Nexflix movie recommendation engine, to name a few. Within the last five years, he has been the Chief Investigator (CI) in two Linkage Grants, two LIEF grants, and two Discovery Grants. He is currently the Lead CI for two ARC DP Grants whose goal is to advance the frontier of theoretical and applied machine learning research.


His research work has attracted more than $4.5 million in research funding, 160+ publications, two patents and numerous research awards including the Best Paper Award from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), the Victorian Education Award (2013, group award for Research Engagement category), Curtin Innovation Award (2010), and the Runner Up Best Paper Award from the Conference on Uncertainty in Artificial Intelligence (UAI, 2009). He has delivered several invited and keynote talks, served on 5+ organizing committees and 35+ technical program committees for top-notch conferences in machine learning and data analytics, including the Program Chair for the Asian Conference on Machine Learning in 2014.

In parallel to advancing science, the economic, societal impacts and the difference his research has made are evidenced through close interdisciplinary research collaboration, extensive engagement with industry to apply his expertise to solve an array of real challenges in improving the quality of life and wellbeing, such that those at the crying needs of modern society including mental health, suicide prediction, early diagnosis of cerebral palsy, help the visually impaired to navigate, managing emergency in the hospital, help people to quit smoke, and early intervention in autism. The TOBY Playpad (www.tobyplaypad.com) and iHosp (www.ihosp.com) are two examples of spun-off companies resulted from the research team that he was a part of.

Read more on Dinh's profile

Knowledge areas

artificial intelligence, machine learning, data science and analytics, graphical models, ubiquitous computing, health analytics, autism analytics, social media analysis, multimedia and computer vision.

Publications

Filter by

2016

Data clustering using side information dependent Chinese restaurant processes

Mr Cheng Li, Dr Santu Rana, Prof Svetha Venkatesh, Dr Dinh Phung

(2016), Vol. 47, pp. 463-488, Knowledge and information systems, Berlin, Germany, C1

journal

Multiple task transfer learning with small sample sizes

Dr Budhaditya Saha, Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 46, pp. 315-342, Knowledge and information systems, Berlin, Germany, C1

journal

Nonparametric discovery of movement patterns from accelerometer signals

Thuong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh, Dr Dinh Phung

(2016), Vol. 70, pp. 52-58, Pattern recognition letters, Amsterdam, The Netherlands, C1

journal

Stabilizing l1-norm prediction models by supervised feature grouping

Mr Iman Kamkar, Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 59, pp. 149-168, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal

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

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 47, pp. 157-188, Knowledge and information systems, New York, N.Y., C1

journal

Streaming variational inference for dirichlet process mixtures

Dr Dinh Phung, Prof Svetha Venkatesh

(2016), pp. 237-252, ACML 2015: Proceedings of the 7th Asian Conference on Machine Learning, Cambridge, Ma., E1

conference

Toxicity prediction in cancer using multiple instance learning in a multi-task framework

Mr Cheng Li, Dr Sunil Gupta, Dr Santu Rana, Dr Wei Luo, Prof Svetha Venkatesh, Prof David Ashley, Dr Dinh Phung

(2016), pp. 152-164, Advances in knowledge discovery and data mining: 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19-22, 2016 proceedings, part I, Berlin, Germany, B1

chapter

DeepCare: a deep dynamic memory model for predictive medicine

Ms Trang Thi Minh Pham, Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2016), pp. 30-41, Advances in knowledge discovery and data mining : 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, proceedings, New York, N.Y., B1

chapter

Graph-induced restricted Boltzmann machines for document modeling

Dr Tu Nguyen, Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 328, pp. 60-75, Information sciences, Amsterdam, The Netherlands, C1

journal

Consistency of the Health of the Nation Outcome Scales (HoNOS) at inpatient-to-community transition

Dr Wei Luo, A/Prof Richard Harvey, Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh, A/Prof Jason Connor

(2016), Vol. 6, pp. 1-6, BMJ open, London, Eng., C1

journal

SECC: simultaneous extraction of context and community from pervasive signals

Thuong Nguyen, Mr Vu Nguyen, Flora Salim, Dr Dinh Phung

(2016), pp. 1-9, PerCom 2016: Proceedings of the 14th IEEE International Conference on Pervasive Computing and Communications, Piscataway, N.J., E1

conference

Sparse adaptive multi-hyperplane machine

Mr Khanh Dang Kim Nguyen, Trung Le, Mr Vu Nguyen, Dr Dinh Phung

(2016), pp. 27-39, Advances in knowledge discovery and data mining: 20th Pacific-Asia Conference, PAKDD 2016 Auckland, New Zealand, April 19¿22, 2016 Proceedings, Part I, New York, N.Y., B1

chapter

Hierarchical Bayesian nonparametric models for knowledge discovery from electronic medical records

Mr Cheng Li, Dr Santu Rana, Dr Dinh Phung, Prof Svetha Venkatesh

(2016), Vol. 99, pp. 168-182, Knowledge-based systems, Amsterdam, The Netherlands, C1

journal

Budgeted semi-supervised support vector machine

Trung Le, Phuong Duong, Mi Dinh, Dr Tu Nguyen, Mr Vu Nguyen, Dr Dinh Phung

(2016), pp. 377-386, UAI 2016: Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence, Corvallis, Or., E1

conference

Scalable nonparametric Bayesian multilevel clustering

Viet Huynh, Dr Dinh Phung, Prof Svetha Venkatesh, Xuan Long Nguyen, Matt Hoffman, Hung Hai Bui

(2016), pp. 289-298, UAI 2016: Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence, Corvallis, Or., E1

conference
2015

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso

Mr Iman Kamkar, Dr Sunil Gupta, Dr Dinh Phung

(2015), Vol. 53, pp. 277-290, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal

Stabilized sparse ordinal regression for medical risk stratification

Dr Truyen Tran, Dr Dinh Phung, Dr Wei Luo, Prof Svetha Venkatesh

(2015), Vol. 43, pp. 555-582, Knowledge and information systems: an international journal, Berlin, Germany, C1

journal

TOBY play-pad application to teach children with ASD – a pilot trial

Dennis W Moore, Prof Svetha Venkatesh, Angelika Anderson, Dr Stewart Greenhill, Dr Dinh Phung, Dr Thi Duong, Darin Cairns, Wendy Marshall, Prof Andrew Whitehouse

(2015), Vol. 18, pp. 213-217, Developmental neurorehabilitation, Oxford, Eng., C1

journal

Stabilizing high-dimensional prediction models using feature graphs

Mr Shivapratap Gopakumar, Dr Truyen Tran, Dr Tu Nguyen, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), Vol. 19, pp. 1044-1052, IEEE journal of biomedical and health informatics, Champaign, III., C1

journal

Tensor-variate restricted Boltzmann machines

Dr Tu Nguyen, Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 2887-2893, AAAI 2015: The Proceedings of the 29th AAAI Conference on Artificial Intelligence, Palo Alto, Calif., E1

conference

Bayesian nonparametric approaches to abnormality detection in video surveillance

Mr Vu Nguyen, Dr Dinh Phung, Duc-Son Pham, Prof Svetha Venkatesh

(2015), Vol. 2, pp. 21-41, Annals of data science, Berlin, Germany, C1

journal

A predictive framework for modeling healthcare data with evolving clinical interventions

Dr Santu Rana, Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), Vol. 8, pp. 162-182, Statistical analysis and data mining, London, Eng., C1

journal

Mixed-norm sparse representation for multi view face recognition

Mr Xin Zhang, Dr Sonny Pham, Prof Svetha Venkatesh, Wanquan Liu, Dr Dinh Phung

(2015), Vol. 48, pp. 2935-2946, Pattern recognition, Amsterdam, The Netherlands, C1

journal

Learning entry profiles of children with autism from multivariate treatment information using restricted boltzmann machines

Ms Pratibha Vellanki, Dr Dinh Phung, Dr Thi Duong, Prof Svetha Venkatesh

(2015), pp. 245-257, Trends and applications in knowledge discovery and data mining: PAKDD 2015 Workshops: BigPMA, VLSP, QIMIE, DAEBH Ho Chi Minh City, Vietnam, May 19¿21, 2015 Revised Selected Papers, Berlin, Germany, B1

chapter

Exploiting feature relationships towards stable feature selection

Mr Iman Kamkar, Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 1-10, DSAA 2015: IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

Autism blogs: expressed emotion, language styles and concerns in personal and community settings

Dr Thin Nguyen, Dr Thi Duong, Prof Svetha Venkatesh, Dr Dinh Phung

(2015), Vol. 6, pp. 312-323, IEEE transactions on affective computing, Piscataway, N.J., C1

journal

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

Dr Truyen Tran, Dr Tu Nguyen, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), Vol. 54, pp. 96-105, Journal of biomedical informatics, Amsterdam, The Netherlands, C1

journal

Learning conditional latent structures from multiple data sources

Viet Huynh, Dr Dinh Phung, Long Nguyen, Prof Svetha Venkatesh, Hung Hai Bui

(2015), pp. 343-354, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

Hierarchical dirichlet process for tracking complex topical structure evolution and its application to autism research literature

Mr Adham Beykikhoshk, Dr Ognjen Arandjelovic, Prof Svetha Venkatesh, Dr Dinh Phung

(2015), pp. 550-562, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

Fast one-class support vector machine for novelty detection

Trung Le, Dr Dinh Phung, Mr Khanh Dang Kim Nguyen, Prof Svetha Venkatesh

(2015), pp. 189-200, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

Continuous discovery of co-location contexts from Bluetooth data

Thuong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh, Dr Dinh Phung

(2015), Vol. 16, pp. 286-304, Pervasive and mobile computing, Amsterdam, The Netherlands, C1

journal

Collaborating differently on different topics: a multi-relational approach to multi-task learning

Dr Sunil Gupta, Dr Santu Rana, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 303-316, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part I, Berlin, Germany, B1

chapter

A Bayesian nonparametric approach to multilevel regression

Mr Vu Nguyen, Dr Dinh Phung, Prof Svetha Venkatesh, Hung Hai Bui

(2015), pp. 330-340, Advances in knowledge discovery and data mining, Berlin, Germany, B1

chapter

Understanding toxicities and complications of cancer treatment: a data mining approach

Dang Nguyen, Dr Wei Luo, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 431-443, AI 2015: Advances in artificial intelligence. 28th Australasian Joint Conference Canberra, ACT, Australia, November 30 - December 4, 2015 Proceedings, Berlin, Germany, B1

chapter

Stable feature selection with support vector machines

Mr Iman Kamkar, Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 298-308, AI 2015: Advances in artificial intelligence. 28th Australasian Joint Conference Canberra, ACT, Australia, November 30 - December 4, 2015 Proceedings, Berlin, Germany, B1

chapter

Nonparametric discovery of online mental health-related communities

Bo Dao, Dr Thin Nguyen, Prof Svetha Venkatesh, Dr Dinh Phung

(2015), pp. 1-10, DSAA 2015: Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

Visual object clustering via mixed-norm regularization

Mr Xin Zhang, Dr Sonny Pham, Dr Dinh Phung, Wanquan Liu, Dr Budhaditya Saha, Prof Svetha Venkatesh

(2015), pp. 1030-1037, WACV 2015: Proceedings of the 15th IEEE Winter Conference on Applications of Computer Vision, Piscataway, N.J., E1

conference

Small-variance asymptotics for bayesian nonparametric models with constraints

Mr Cheng Li, Dr Santu Rana, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 92-105, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, Berlin, Germany, B1

chapter

Stabilizing sparse cox model using statistic and semantic structures in electronic medical records

Mr Shivapratap Gopakumar, Dr Tu Nguyen, Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 331-343, Advances in knowledge discovery and data mining 19th Pacific-Asia Conference, PAKDD 2015, Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II, Berlin, Germany, B1

chapter

What shall i share and with whom? A multi-task learning formulation using multi-faceted task relationships

Dr Sunil Gupta, Dr Santu Rana, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 703-711, SDM 2015: Proceedings of the 15th SIAM International Conference on Data Mining, Vancouver, British Columbia, E1

conference

Using Twitter to learn about the autism community

Mr Adham Beykikhoshk, Dr Ognjen Arandjelovic, Dr Dinh Phung, Prof Svetha Venkatesh, Adj/Prof Terry Caelli

(2015), Vol. 5, pp. 1-17, Social network analysis and mining, New York, N.Y., C1

journal

Differentiating sub-groups of online depression-related communities using textual cues

Dr Thin Nguyen, Bridianne O Dea, Mark Larsen, Dr Dinh Phung, Prof Svetha Venkatesh, Helen M Christensen

(2015), pp. 216-224, Web Information Systems Engineering ¿ WISE 2015, New York, N.Y., B1

chapter

Overcoming data scarcity of Twitter: using tweets as bootstrap with application to autism-related topic content analysis

Mr Adham Beykikhoshk, Dr Ognjen Arandjelovic, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), pp. 1354-1361, ASONAM 2015: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, New York, N.Y., E1

conference

Multi-view subspace clustering for face images

Mr Xin Zhang, Dr Dinh Phung, Prof Svetha Venkatesh, Duc Son Pham, Wanquan Liu

(2015), pp. 1-8, DICTA 2015: Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, Piscataway, N. J., E1

conference

Topic model kernel classification with probabilistically reduced features

Mr Vu Nguyen, Dr Dinh Phung, Prof Svetha Venkatesh

(2015), Vol. 13, pp. 323-340, Journal of data science, New York, N.Y., C1

journal
2014

Social reader: towards browsing the social web

Brett Adams, Dr Dinh Phung, Prof Svetha Venkatesh

(2014), Vol. 69, pp. 951-990, Multimedia tools and applications, Secaucus, NJ, C1

journal

Learning latent activities from social signals with hierarchical dirichlet processes

Dr Dinh Phung, Mr Thuong Cong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh

(2014), pp. 149-174, Plan, activity, and intent recognition : theory and practice, Boston, MA, B1

chapter

Fixed-lag particle filter for continuous context discovery using Indian buffet process

Thuong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh, Dr Dinh Phung

(2014), pp. 20-28, 2014 IEEE International Conference on Pervasive Computing and Communications, PerCom 2014, Piscataway, N.J., E1

conference

A random finite set model for data clustering

Dr Dinh Phung, Ba-Ngu Vo

(2014), pp. 1-8, Proceedings of the 17th International Conference on Information Fusion, Piscataway, N.J., E1

conference

Modelling multilevel data in multimedia : A hierarchical factor analysis approach

Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 1-23, Multimedia Tools and Applications, New York, New York, C1

journal

Effect of mood, social connectivity and age in online depression community via topic and linguistic analysis

Bo Dao, Dr Thin Nguyen, Dr Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 398-407, Web information systems engineering -- WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, proceedings, Berlin, Germany, B1

chapter

Intervention-driven predictive framework for modeling healthcare data

Dr Santu Rana, Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 497-508, Advances in knowledge discovery and data mining : 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014, proceedings, Berlin, Germany, B1

chapter

Affective, linguistic and topic patterns in online autism communities

Dr Thin Nguyen, Dr Thi Duong, Dr Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 474-488, Web information systems engineering -- WISE 2014 : 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, proceedings, Berlin, Germany, B1

chapter

A bayesian nonparametric framework for activity recognition using accelerometer data

Thuong Nguyen, Dr Sunil Gupta, Prof Svetha Venkatesh, Dr Dinh Phung

(2014), pp. 2017-2022, Proceedings of the 22nd International Conference on Pattern Recognition; ICPR 2014, Piscataway, N.J., E1

conference

Data-mining twitter and the autism spectrum disorder: a pilot study

Mr Adham Beykikhoshk, Dr Ognjen Arandjelovic, Dr Dinh Phung, Prof Svetha Venkatesh, Adj/Prof Terry Caelli

(2014), pp. 349-356, Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining; ASONAM 2014, Piscataway, N.J., E1

conference

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

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2014), Vol. 21, pp. 25-45, Journal of heuristics, Berlin, Germany, C1

journal

Bayesian nonparametric multilevel clustering with group-level contexts

Mr Vu Nguyen, Dr Dinh Phung, XuanLong Nguyen, Prof Svetha Venkatesh, Hung Hai Bui

(2014), pp. 481-501, ICML 2014 : Proceedings of the 31st International Conference on Machine Learning, Berlin, Germany, E1

conference

Nonparametric discovery of learning patterns and autism subgroups from therapeutic data

Ms Pratibha Vellanki, Dr Thi Duong, Prof Svetha Venkatesh, Dr Dinh Phung

(2014), pp. 1828-1833, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Piscataway, N.J., E1

conference

Analysis of circadian rhythms from online communities of individuals with affective disorders

Bo Dao, Dr Thin Nguyen, Prof Svetha Venkatesh, Dr Dinh Phung

(2014), pp. 463-469, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

Individualized arrhythmia detection with ECG signals from wearable devices

Binh Nguyen, Dr Wei Luo, Adj/Prof Terry Caelli, Prof Svetha Venkatesh, Dr Dinh Phung

(2014), pp. 570-576, DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics, Piscataway, N.J., E1

conference

Regularizing topic discovery in emrs with side information by using hierarchical bayesian models

Mr Cheng Li, Dr Santu Rana, Dr Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 1307-1312, ICPR 2014 : Proceedings of the 22nd International Conference on Pattern Recognition, Piscataway, N.J., E1

conference

Unsupervised inference of significant locations from WiFi data for understanding human dynamics

Mr Thanh Binh Nguyen, Thuong Nguyen, Dr Wei Luo, Prof Svetha Venkatesh, Dr Dinh Phung

(2014), pp. 232-235, MUM 2014 : Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, Melbourne, Vic., E1-1

conference

A matrix factorization framework for jointly analyzing multiple nonnegative data sources

Dr Sunil Gupta, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2014), pp. 151-170, Data mining for service, Berlin, Germany, B1-1

chapter

Keeping up with innovation: a predictive framework for modeling healthcare data with evolving clinical interventions

Dr Sunil Gupta, Dr Santu Rana, Dr Dinh Phung, Prof Svetha Venkatesh

(2014), pp. 235-243, SDM 2014: Proceedings of the 14th SIAM International Conference on Data Mining 2014, Philadelphia, Pa, E1-1

conference

Speed up health research through topic modeling of coded clinical data

Dr Wei Luo, Dr Dinh Phung, Mr Vu Nguyen, Dr Truyen Tran, Prof Svetha Venkatesh

(2014), pp. 1-4, IAPR 2014: Proceedings of 2nd International Workshop on Pattern Recognition for Healthcare Analytics, Stockholm, Sweden, E1-1

conference

Labeled random finite sets and the bayes multi-target tracking filter

Ba-Ngu Vo, Ba-Tuong Vo, Dr Dinh Phung

(2014), Vol. 62, pp. 6554-6567, IEEE transactions on signal processing, Piscataway, N.J., C1-1

journal

Risk stratification using data from electronic medical records better predicts suicide risks than clinician assessments

Dr Truyen Tran, Dr Wei Luo, Dr Dinh Phung, A/Prof Richard Harvey, Prof Michael Berk, Richard L. Kennedy, Prof Svetha Venkatesh

(2014), Vol. 14, pp. 1-9, BMC Psychiatry, London, England, C1

journal

Machine-learning prediction of cancer survival: a retrospective study using electronic administrative records and a cancer registry

Dr Sunil Gupta, Dr Truyen Tran, Dr Wei Luo, Dr Dinh Phung, Richard L. Kennedy, Adam Broad, David Campbell, David Kipp, Madhu Singh, Dr Mustafa Khasraw, Leigh Matheson, Prof David Ashley, Prof Svetha Venkatesh

(2014), Vol. 4, pp. 1-7, BMJ open, London, England, C1

journal

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

Dr Truyen Tran, Dr Wei Luo, Dr Dinh Phung, Dr Sunil Gupta, Dr Santu Rana, Mr Richard Kennedy, Ann Larkins, Prof Svetha Venkatesh

(2014), Vol. 15, pp. 1-9, BMC Bioinformatics, London,Eng., C1

journal
2013

Regularized nonnegative shared subspace learning

Dr Sunil Gupta, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2013), Vol. 26, pp. 57-97, Data mining and knowledge discovery, Boston, Mass., C1-1

journal

Sparse subspace clustering via group sparse coding

Dr Budhaditya Saha, Dr Sonny Pham, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 130-138, SDM 2013 : Proceedings of the thirteenth SIAM International Conference on Data Mining, Austin, Texas, E1

conference

Clustering patient medical records via sparse subspace representation

Dr Budhaditya Saha, Dr Sonny Pham, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 123-134, Advances in knowledge discovery and data mining : 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013 : proceedings, Berlin, Germany, E1

conference

Analysis of psycholinguistic processes and topics in online autism communities

Dr Thin Nguyen, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, Piscataway, N.J., E1

conference

Learning sparse latent representation and distance metric for image retrieval

Dr Tu Nguyen, Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, Piscataway, N.J., E1

conference

Exploiting side information in distance dependent Chinese restaurant processes for data clustering

Mr Cheng Li, Dr Dinh Phung, Dr Santu Rana, Prof Svetha Venkatesh

(2013), pp. 1-6, ICME 2013 : Proceedings of the 14th IEEE International Conference on Multimedia and Expo, Piscataway, N.J., E1

conference

Interactive browsing system for anomaly video surveillance

Dr Tien Vu Nguyen, Dr Dinh Phung, Dr Sunil Gupta, Prof Svetha Venkatesh

(2013), pp. 384-389, ISSNIP 2013 : Sensing the future : Proceedings of the IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Piscataway, N.J., E1

conference

Extraction of latent patterns and contexts from social honest signals using hierarchical Dirichlet processes

Thuong Nguyen, Dr Dinh Phung, Dr Sunil Gupta, Prof Svetha Venkatesh

(2013), pp. 47-55, PerCom 2013 : Proceedings of the 11th IEEE International Conference on Pervasive Computing and Commmunications, Piscataway, N.J., E1

conference

Connectivity, online social capital, and mood : a Bayesian nonparametric analysis

Dr Dinh Phung, Dr Sunil Gupta, Dr Thin Nguyen, Prof Svetha Venkatesh

(2013), Vol. 15, pp. 1316-1325, IEEE transactions on multimedia, Piscataway, N.J., C1

journal

Latent patient profile modelling and applications with mixed-variate restricted Boltzmann machine

Dr Tu Nguyen, Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 123-135, PAKDD 2013 : Advances in knowledge discovery and data mining : Proceedings of the 17th Pacific-Asia Conference, Berlin, Germany, E1

conference

Split-merge augmented Gibbs sampling for hierarchical dirichlet processes

Dr Santu Rana, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 546-557, PAKDD 2013 : Advances in knowledge discovery and data mining : Proceedings of the 17th Pacific-Asia Conference, Berlin, Germany, E1

conference

TOBY : Early intervention in autism through technology

Prof Svetha Venkatesh, Dr Dinh Phung, Dr Thi Duong, Dr Stewart Greenhill, Brett Adams

(2013), pp. 3187-3196, CHI 2013 : Changing perspectives : Proceedings of the 31st Annual Conference on Human Factors in Computing Systems, New York, N.Y., E1

conference

Event extraction using behaviors of sentiment signals and burst structure in social media

Dr Thin Nguyen, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2013), Vol. 37, pp. 279-304, Knowledge and information systems, London, England, C1

journal

Topic model kernel : an empirical study towards probabilistically reduced features for classification

Dr Tien Vu Nguyen, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 124-131, Neural information processing : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Berlin, Germany, E1

conference

Mood sensing from social media texts and its applications

Dr Thin Nguyen, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2013), Vol. 39, pp. 1-36, Knowledge and information systems, Berlin, Germany, C1

journal

Factorial multi-task learning : a Bayesian nonparametric approach

Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 1694-1702, 30th International Conference on Machine Learning, ICML 2013, Atlanta, Ga., E1-1

conference

An integrated framework for suicide risk prediction

Dr Truyen Tran, Dr Dinh Phung, Dr Wei Luo, A/Prof Richard Harvey, Prof Michael Berk, Prof Svetha Venkatesh

(2013), pp. 1410-1418, KDD'13: Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, New York, N.Y., E1-1

conference

Thurstonian Boltzmann machines: learning from multiple inequalities

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2013), pp. 46-54, ICML 2013 : Proceedings of the Machine Learning 2013 International Conference, Atlanta, Ga., E1-1

conference
2012

A bayesian nonparametric joint factor model for learning shared and individual subspaces from multiple data sources

Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 200-212, SDM 2012 : Proceedings of the 12th SIAM International Conference on Data Mining, Anaheim, Calif., E1

conference

A sentiment-aware approach to community formation in social media

Dr Thin Nguyen, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2012), pp. 527-530, ICWSM 2012 : Proceedings of the Sixth International Conference on Weblogs and Social Media, Dublin, Ireland, E1

conference

A slice sampler for restricted hierarchical beta process with applications to shared subspace learning

Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 316-325, UAI 2012 : Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence, Corvallis, Or., E1

conference

Multi-modal abnormality detection in video with unknown data segmentation

Dr Tien Vu Nguyen, Dr Dinh Phung, Dr Santu Rana, Dr Sonny Pham, Prof Svetha Venkatesh

(2012), pp. 1322-1325, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1

conference

Cumulative restricted Boltzmann machines for ordinal matrix data analysis

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 411-426, ACML 2012 : Proceedings of the 4th Asian Conference on Machine Learning, Singapore, E1

conference

Learning from ordered sets and applications in collaborative ranking

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 427-442, ACML 2012 : Proceedings of the 4th Asian Conference on Machine Learning, Singapore, E1

conference

A nonparametric Bayesian Poisson Gamma model for count data

Dr Sunil Gupta, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 1815-1818, ICPR 2012 : Proceedings of 21st International Conference on Pattern Recognition, Tsubuka Science City, Japan, E1

conference

Detection of cross-channel anomalies

Dr Sonny Pham, Dr Budhaditya Saha, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), Vol. 35, pp. 33-59, Knowledge and Information Systems, Berlin, Germany, C1

journal

Learning Boltzmann distance metric for face recognition

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 218-223, ICME 2012 : Proceedings of the 13th IEEE International Conference on Multimedia and Expo, Piscataway, N.J., E1

conference

Sparse subspace representation for spectral document clustering

Dr Budhaditya Saha, Dr Dinh Phung, Dr Sonny Pham, Prof Svetha Venkatesh

(2012), pp. 1092-1097, ICDM 2012 : Proceedings of the 12th IEEE International Conference on Data Mining, Piscataway, N.J., E1

conference

Pervasive multimedia for autism intervention

Prof Svetha Venkatesh, Dr Stewart Greenhill, Dr Dinh Phung, Brett Adams, Dr Thi Duong

(2012), Vol. 8, pp. 863-882, Pervasive and mobile computing, Amsterdam, The Netherlands, C1

journal

A sequential decision approach to ordinal preferences in recommender systems

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 676-682, AAAI 2012 : Proceedings of the 26th National Conference on Artificial Intelligence, Toronto, Ont., E1

conference

Embedded restricted Boltzmann machines for fusion of mixed data types and applications in social measurements analysis

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 1814-1821, FUSION 2012 : Proceedings of the 15th International Conference on Information Fusion, Melbourne, Vic., E1

conference

Large-scale statistical modeling of motion patterns : a Bayesian nonparametric approach

Dr Santu Rana, Dr Dinh Phung, Sonny Pham, Prof Svetha Venkatesh

(2012), pp. 1-8, ICVGIP 2012 : Proceedings of the 8th Indian Conference on Computer Vision, Graphics and Image Processing, New York, N.Y., E1

conference

Improved subspace clustering via exploitation of spatial constraints

Dr Sonny Pham, Dr Budhaditya Saha, Dr Dinh Phung, Prof Svetha Venkatesh

(2012), pp. 550-557, CVPR 2012 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Piscataway, N. J., E1

conference
2011

A matrix factorization framework for jointly analyzing multiple nonnegative data source

Dr Sunil Gupta, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 6-15, Proceedings of the 9th Workshop on Text Mining, in conjunction with the 11th SIAM International Conference on Data Mining, Mesa, Ariz., E1-1

conference

Detection of cross-channel anomalies from multiple data channels

Dr Sonny Pham, Dr Budhaditya Saha, Dr Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 527-536, ICDM 2011 : Proceedings of the IEEE International Conference on Data Mining, Washington, D. C., E1-1

conference

Emotional reactions to real-world events in social networks

Dr Thin Nguyen, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 53-64, New Frontiers in Applied Data Mining : Proceedings of the PAKDD 2011 International Workshops, Heidelberg, Germany, E1-1

conference

Eventscapes : visualizing events over time with emotive facets

Brett Adams, Dr Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 1477-1480, MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops, Scottsdale, AZ, E1-1

conference

A context-sensitive device to help people with autism cope with anxiety

Marziya Mohammedali, Brett Adams, Dr Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 1201-1206, CHI EA 2011 : Proceedings of the 29th Conference on Human Factors in Computing Systems 2011, New York, N. Y., E1-1

conference

Cognitive intervention in autism using multimedia stimulus

Prof Svetha Venkatesh, Dr Stewart Greenhill, Dr Dinh Phung, Brett Adams

(2011), pp. 769-770, MM'11 : Proceedings of the 19th ACM Multimedia Conference and Co-Located Workshops, New York, N. Y., E1-1

conference

Prediction of age, sentiment, and connectivity from social media text

Dr Thin Nguyen, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 227-240, Web Information Systems Engineering, WISE 2011 : 12th International Conference, Sydney, Australia, October 13-14 2011 : proceedings, Berlin, Germany, E1-1

conference

A Bayesian framework for learning shared and individual subspaces from multiple data sources

Dr Sunil Gupta, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 136-147, Advances in knowledge discovery and data mining : 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, proceedings, part II, Berlin, Germany, E1-1

conference

Mixed-variate restricted Boltzmann machines

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 213-229, ACML 2011 : Proceedings of the 3rd Asian Conference on Machine Learning, Taoyuan, Taiwan, E1-1

conference

Towards discovery of influence and personality traits through social link prediction

Dr Thin Nguyen, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2011), pp. 566-569, ICWSM-11 : Proceedings of the 5th AAAI International Conference on Weblogs and Social Media, Menlo Park, Calif., E1-1

conference

Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2011), pp. 426-437, SDM 2011 : Proceedings of the 11th SIAM International Conference on Data Mining, Philadelphia, Pa., E1-1

conference
2010

Discovery of latent subcommunities in a blog's readership

Brett Adams, Dr Dinh Phung, Prof Svetha Venkatesh

(2010), Vol. 4, pp. 1-30, ACM transactions on the web, New York, N. Y., C1-1

journal

Hyper-community detection in the blogosphere

Dr Thin Nguyen, Dr Dinh Phung, Brett Adams, Dr Truyen Tran, Prof Svetha Venkatesh

(2010), pp. 21-26, WSM 2010 : Proceedings of the 2nd ACM SIGMM Workshop on Social Media, New York, N. Y., E1-1

conference

Nonnegative shared subspace learning and its application to social media retrieval

Dr Sunil Gupta, Dr Dinh Phung, Brett Adams, Dr Truyen Tran, Prof Svetha Venkatesh

(2010), pp. 1169-1178, KDD 2010 : Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, N. Y., E1-1

conference

Classification and pattern discovery of mood in weblogs

Dr Thin Nguyen, Dr Dinh Phung, Brett Adams, Dr Truyen Tran, Prof Svetha Venkatesh

(2010), pp. 283-290, Advances in knowledge discovery and data mining : 14th Pacific-Asia Conference, PAKDD 2010, Hyderabad, India, June 21-24, 2010 ; proceedings. part II, Berlin, Germany, E1-1

conference
2009

Efficient duration and hierarchical modeling for human activity recognition

Dr Thi Duong, Dr Dinh Phung, Hung Bui, Prof Svetha Venkatesh

(2009), Vol. 173, pp. 830-856, Artificial intelligence, Amsterdam, Netherlands, C1-1

journal

Unsupervised context detection using wireless signals

Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh, Mohan Kumar

(2009), Vol. 5, pp. 714-733, Pervasive and mobile computing, Amsterdam, Netherlands, C1-1

journal

Social reader : following social networks in the wilds of the blogosphere

Brett Adams, Dr Dinh Phung, Prof Svetha Venkatesh

(2009), pp. 73-80, WSM'09 : Proceedings of the 1st ACM SIGMM International Workshop on Social Media, New York, N. Y., E1-1

conference

Flickr hypergroups

Radu-Andrei Negoescu, Brett Adams, Dr Dinh Phung, Prof Svetha Venkatesh, Daniel Gatica-Perez

(2009), pp. 813-816, MM'09 : Proceedings of the 17th ACM Multimedia Conference, New York, N. Y., E1-1

conference

Ordinal Boltzmann machines for collaborative filtering

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2009), pp. 548-556, UAI 2009 : Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, Arlington, Va., E1-1

conference

High accuracy context recovery using clustering mechanisms

Dr Dinh Phung, Brett Adams, Kha Tran, Prof Svetha Venkatesh, Mohan Kumar

(2009), pp. 2-9, PerCom 2009 : Proceedings of the 7th Annual IEEE International Conference on Pervasive Computing and Communications, Washington, D. C., E1-1

conference
2008

Sensing and using social context

Brett Adams, Dr Dinh Phung, Prof Svetha Venkatesh

(2008), Vol. 5, pp. 1-27, ACM transactions on multimedia computing communications and applications, New York, N. Y., C1-1

journal

Computable social patterns from sparse sensor data

Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2008), pp. 69-72, LocWeb 2008 : Proceedings of the 1st International Workshop on Location and the web, New York, N. Y., E1-1

conference

The hidden permutation model and location-based activity recognition

Hung Bui, Dr Dinh Phung, Prof Svetha Venkatesh, Hai Phan

(2008), pp. 1345-1350, AAAI 2008 : Proceedings of the 23rd AAAI Conference on Artificial Intelligence, Chicago, Ill., E1-1

conference

Learning discriminative sequence models from partially labelled data for activity recognition

Dr Truyen Tran, Hung Bui, Dr Dinh Phung, Prof Svetha Venkatesh

(2008), pp. 903-912, PRICAI 2008 : trends in artificial intelligence : 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, proceedings, Berlin, Germany, E1-1

conference

Constrained sequence classification for lexical disambiguation

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2008), pp. 430-441, PRICAI 2008 : trends in artificial intelligence : 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, December 15-19, 2008, proceedings, Berlin, Germany, E1-1

conference

Indoor location prediction using multiple wireless received signal strengths

Kha Tran, Dr Dinh Phung, Brett Adams, Prof Svetha Venkatesh

(2008), pp. 187-192, AusDM 2008 : Proceedings of the 7th Australasian Data Mining Conference, Gold Coast, Qld., E1-1

conference

Hierarchical semi-markov conditional random fields for recursive sequential data

Dr Truyen Tran, Dr Dinh Phung, Hung Bui, Prof Svetha Venkatesh

(2008), pp. 1657-1664, NIPS 2008 : Advances in Neural Information Processing Systems 21 : Proceedings of the 2008 Conference, Red Hook, N. Y., E1-1

conference
2007

Preference networks : probabilistic models for recommendation systems

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2007), pp. 191-198, Data Mining and Analytics 2007 : Proceedings of the Sixth Australasian Data Mining Conference - AusDM 2007, Sydney, N. S. W., E1-1

conference

Preference Networks: probabilistic models for recommendation systems

Dr Truyen Tran, Dr Dinh Phung, Prof Svetha Venkatesh

(2007), pp. 195-202, Proc. of 6th Australasian Data Mining Conference: AusDM 2007, Gold Coast, N.S.W., E1-1

conference
2006

Extraction of social context and application to personal multimedia exploration

Brett Adams, Dr Dinh Phung, Prof Svetha Venkatesh

(2006), pp. 987-996, ACM-MM 2006 : Proceedings of the 14th Annual ACM International Conference on Multimedia, New York, N.Y., E1-1

conference

A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment

Dung T. Tran, Dr Dinh Phung, Hung Bui, Prof Svetha Venkatesh

(2006), pp. 168-172, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Washington, D. C., E1-1

conference

Human behavior recognition with generic exponential family duration modeling in the hidden semi-Markov model

Dr Thi Duong, Dr Dinh Phung, Hung Bui, Prof Svetha Venkatesh

(2006), pp. 202-207, ICPR 2006 : Proceedings of the 18th International Conference on Pattern Recognition, Washington, D. C., E1-1

conference

AdaBoost.MRF: boosted Markov random forests and application to multilevel activity recognition

Dr Truyen Tran, Dr Dinh Phung, Hung Bui, Prof Svetha Venkatesh

(2006), pp. 1686-1693, CVPR 2006 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Piscataway, N.J., E1-1

conference
2005

Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model

N. T. Nguyen, Dr Dinh Phung, Prof Svetha Venkatesh, Hung Bui

(2005), pp. 955-960, CVPR 2005 : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Los Alamitos, Calif., E1-1

conference

Efficient Coxian duration modelling for activity recognition in smart environment with the hidden semi-Markov model

Dr Thi Duong, Dr Dinh Phung, Hung Bui, Prof Svetha Venkatesh

(2005), pp. 277-282, Proceedings of the 2005 intelligent sensors, sensor networks and information processing conference, Piscataway, N.J., E1-1

conference

Factored state-abstract hidden Markov models for activity recognition using pervasive multi-modal sensors

Dung T. Tran, Dr Dinh Phung, Hung Bui, Prof Svetha Venkatesh

(2005), pp. 331-335, Proceedings of the 2005 Intelligent Sensors, Sensor Networks & Information Processing Conference, Piscataway, N.J., E1-1

conference

Activity recognition and abnormality detection with the switching hidden semi-Markov model

Dr Thi Duong, Hung Bui, Dr Dinh Phung, Prof Svetha Venkatesh

(2005), pp. 838-845, CVPR 2005 : Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, D. C., E1-1

conference

Topic transition detection using hierarchical hidden Markov and semi-Markov models

Dr Dinh Phung, Dr Thi Duong, Prof Svetha Venkatesh, Hung Bui

(2005), pp. 11-20, MM'05 : Proceedings of the 13th ACM International Conference on Multimedia, New York, N. Y., E1-1

conference
2004

Automatically learning structural units in educational videos with the hierarchical hidden Markov models

Dr Dinh Phung, Prof Svetha Venkatesh, Hung Bui

(2004), pp. 1605-1608, ICIP 2004 : Proceedings of the 2004 International Conference on Image Processing, Piscataway, N.J., E1-1

conference

Content structure discovery in educational videos using shared structures in the hierarchical hidden Markov models

Dr Dinh Phung, Hung Bui, Prof Svetha Venkatesh

(2004), pp. 1155-1163, Structural, syntactic, and statistical pattern recognition : joint IAPR international workshops SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 : proceedings, Berlin, Germany, B1-1

chapter

Hierarchical hidden Markov models with general state hierarchy

Hung Bui, Dr Dinh Phung, Prof Svetha Venkatesh

(2004), pp. 324-329, Proceedings of the National Conference on Artificial Intelligence, San Jose, Calif., E1-1

conference
2003

Hierarchical topical segmentation in instructional films based on cinematic expressive functions

Dr Dinh Phung, Prof Svetha Venkatesh, Chitra Dorai

(2003), pp. 287-290, MULTIMEDIA 2003 : Proceedings of the 11th ACM International Multimedia Conference and Exhibition, New York, N. Y., E1-1

conference

On the extraction of thematic and dramatic functions of content in educational videos

Dr Dinh Phung, Prof Svetha Venkatesh, Chitra Dorai

(2003), pp. 449-452, ICME 2003 : Proceedings of the International Conference on Multimedia and Expo, Washington, D. C., E1-1

conference
2002

Narrative structure analysis with education and training videos for e-learning

Dr Dinh Phung, Chitra Dorai, Prof Svetha Venkatesh

(2002), pp. 835-838, ICPR 2002 : Proceedings of the 16th International Conference on Pattern Recognition, Los Alamitos, Calif., E1-1

conference

High level segmentation of instructional videos based on content density

Dr Dinh Phung, Prof Svetha Venkatesh, Chitra Dorai

(2002), pp. 295-298, MULTIMEDIA 2002 : Proceedings of the 10th ACM International Multimedia Conference and Exhibition, New York, N. Y., E1-1

conference

Video genre categorization using audio wavelet coefficients

Dr Dinh Phung, Chitra Dorai, Prof Svetha Venkatesh

(2002), pp. 69-74, ACCV 2002 : Proceedings of the 5th Asian Conference on Computer Vision, Tokyo, Japan, E1-1

conference