"Đình Phùng Nguyễn" appeared in Books and Chapters

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"Đình Phùng Nguyễn" appeared in Books and Chapters

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Book	Author(s)	Year	Publisher
Ngọn lửa hồng hoang: truyện dài	Đình Phùng Nguyễn	2007	NXB Nguồn Ý
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Self-attention Network Based Node Embedding Model	Dai Quoc Nguyen; Tu Dinh Nguyen; Dinh Phung	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III	Frank Hutter; Kristian Kersting; Jefrey Lijffijt; Isabel Valera	1st ed. 2021	Springer International Publishing
Large-Scale Stylistic Analysis of Formality in Academia and Social Media	Thin Nguyen; Svetha Venkatesh; Dinh Phung	Web Information Systems Engineering – WISE 2016: 17th International Conference, Shanghai, China, November 8-10, 2016, Proceedings, Part II	Wojciech Cellary; Mohamed F. Mokbel; Jianmin Wang; Hua Wang; Rui Zhou; Yanchun Zhang	1st ed. 2016	Springer International Publishing
Textual Cues for Online Depression in Community and Personal Settings	Thin Nguyen; Svetha Venkatesh; Dinh Phung	Advanced Data Mining and Applications: 12th International Conference, ADMA 2016, Gold Coast, QLD, Australia, December 12-15, 2016, Proceedings	Jinyan Li; Xue Li; Shuliang Wang; Jianxin Li; Quan Z. Sheng	1st ed. 2016	Springer International Publishing
Sparse Adaptive Multi-hyperplane Machine	Khanh Nguyen; Trung Le; Vu Nguyen; Dinh Phung	Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part I	James Bailey; Latifur Khan; Takashi Washio; Gill Dobbie; Joshua Zhexue Huang; Ruili Wang	1st ed. 2016	Springer International Publishing
Estimating Support Scores of Autism Communities in Large-Scale Web Information Systems	Nguyen Thin; Nguyen Hung; Svetha Venkatesh; Dinh Phung	Web Information Systems Engineering – WISE 2017: 18th International Conference, Puschino, Russia, October 7-11, 2017, Proceedings, Part I	Athman Bouguettaya; Yunjun Gao; Andrey Klimenko; Lu Chen; Xiangliang Zhang; Fedor Dzerzhinskiy; Weijia Jia; Stanislav V. Klimenko; Qing Li	1st ed. 2017	Springer International Publishing
Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint	Dang Nguyen; Wei Luo; Tu Dinh Nguyen; Svetha Venkatesh; Dinh Phung	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part II	Michele Berlingerio; Francesco Bonchi; Thomas Gärtner; Neil Hurley; Georgiana Ifrim	1st ed. 2019	Springer International Publishing
Latent Patient Profile Modelling and Applications with Mixed-Variate Restricted Boltzmann Machine	Tu Dinh Nguyen; Truyen Tran; Dinh Phung; Svetha Venkatesh	Advances in Knowledge Discovery and Data Mining: 17th Pacific-Asia Conference, PAKDD 2013, Gold Coast, Australia, April 14-17, 2013, Proceedings, Part I	Jian Pei; Vincent S. Tseng; Longbing Cao; Hiroshi Motoda; Guandong Xu	2013	Springer Berlin Heidelberg
Topic Model Kernel: An Empirical Study towards Probabilistically Reduced Features for Classification	Tien-Vu Nguyen; Dinh Phung; Svetha Venkatesh	Neural Information Processing: 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part II	Minho Lee; Akira Hirose; Zeng-Guang Hou; Rhee Man Kil	2013	Springer Berlin Heidelberg
Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes	Thanh-Binh Nguyen; Vu Nguyen; Svetha Venkatesh; Dinh Phung	Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF, Auckland, New Zealand, April 19, 2016, Revised Selected Papers	Huiping Cao; Jinyan Li; Ruili Wang	1st ed. 2016	Springer International Publishing
Emotional Reactions to Real-World Events in Social Networks	Thin Nguyen; Dinh Phung; Brett Adams; Svetha Venkatesh	New Frontiers in Applied Data Mining: PAKDD 2011 International Workshops, Shenzhen, China, May 24-27, 2011, Revised Selected Papers	Longbing Cao; Joshua Zhexue Huang; James Bailey; Yun Sing Koh; Jun Luo	2012	Springer Berlin Heidelberg
Affective, Linguistic and Topic Patterns in Online Autism Communities	Thin Nguyen; Thi Duong; Dinh Phung; Svetha Venkatesh	Web Information Systems Engineering -- WISE 2014: 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part II	Boualem Benatallah; Azer Bestavros; Yannis Manolopoulos; Athena Vakali; Yanchun Zhang	2014	Springer International Publishing
Exceptional Contrast Set Mining: Moving Beyond the Deluge of the Obvious	Dang Nguyen; Wei Luo; Dinh Phung; Svetha Venkatesh	AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings	Byeong Ho Kang; Quan Bai	1st ed. 2016	Springer International Publishing
Learning Latent Activities from Social Signals with Hierarchical Dirichlet Processes	Dinh Phung; Thuong Nguyen; Sunil Gupta; Svetha Venkatesh	Plan, Activity, and Intent Recognition	Gita Sukthankar; Christopher Geib; Hung Bui; David Pynadath and Robert P. Goldman	2014	Morgan Kaufmann
Effect of Mood, Social Connectivity and Age in Online Depression Community via Topic and Linguistic Analysis	Bo Dao; Thin Nguyen; Dinh Phung; Svetha Venkatesh	Web Information Systems Engineering -- WISE 2014: 15th International Conference, Thessaloniki, Greece, October 12-14, 2014, Proceedings, Part I	Boualem Benatallah; Azer Bestavros; Yannis Manolopoulos; Athena Vakali; Yanchun Zhang	2014	Springer International Publishing
Prediction of Age, Sentiment, and Connectivity from Social Media Text	Thin Nguyen; Dinh Phung; Brett Adams; Svetha Venkatesh	Web Information System Engineering -- WISE 2011: 12th International Conference, Sydney, Australia, October 13-14, 2011, Proceedings	Athman Bouguettaya; Manfred Hauswirth; Ling Liu	2011	Springer Berlin Heidelberg
Understanding Toxicities and Complications of Cancer Treatment: A Data Mining Approach	Dang Nguyen; Wei Luo; Dinh Phung; Svetha Venkatesh	AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings	Bernhard Pfahringer; Jochen Renz	1st ed. 2015	Springer International Publishing
Fast One-Class Support Vector Machine for Novelty Detection	Trung Le; Dinh Phung; Khanh Nguyen; Svetha Venkatesh	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	Tru Cao; Ee-Peng Lim; Zhi-Hua Zhou; Tu-Bao Ho; David Cheung; Hiroshi Motoda	2015	Springer International Publishing
Energy-Based Localized Anomaly Detection in Video Surveillance	Hung Vu; Tu Dinh Nguyen; Anthony Travers; Svetha Venkatesh; Dinh Phung	Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part I	Jinho Kim; Kyuseok Shim; Longbing Cao; Jae-Gil Lee; Xuemin Lin; Yang-Sae Moon	1st ed. 2017	Springer International Publishing
Stabilizing Sparse Cox Model Using Statistic and Semantic Structures in Electronic Medical Records	Shivapratap Gopakumar; Tu Dinh Nguyen; Truyen Tran; Dinh Phung; Svetha Venkatesh	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	Tru Cao; Ee-Peng Lim; Zhi-Hua Zhou; Tu-Bao Ho; David Cheung; Hiroshi Motoda	2015	Springer International Publishing
A Bayesian Nonparametric Approach to Multilevel Regression	Vu Nguyen; Dinh Phung; Svetha Venkatesh; Hung H. Bui	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	Tru Cao; Ee-Peng Lim; Zhi-Hua Zhou; Tu-Bao Ho; David Cheung; Hiroshi Motoda	2015	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 38 entries