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ORCIDMinh Pham
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2021
[j15]Yu Du, Xiaodong Lin, Minh Pham, Andrzej Ruszczynski:
Selective linearization for multi-block statistical learning. Eur. J. Oper. Res. 293(1): 219-228 (2021)- [j14]Minh Pham, Ha Manh Do, Zhidong Su, Alex J. Bishop, Weihua Sheng:
Negative Emotion Management Using a Smart Shirt and a Robot Assistant. IEEE Robotics Autom. Lett. 6(2): 4040-4047 (2021) - [i4]Anand Ramakrishnan, Minh Pham, Jacob Whitehill:
Harnessing Geometric Constraints from Auxiliary Labels to Improve Embedding Functions for One-Shot Learning. CoRR abs/2103.03862 (2021) - 2020
- [j13]Minh Pham
, Stephen J. Wilson, Harikumar Govindarajan, Chih-Hsu Lin, Olivier Lichtarge:
Discovery of disease- and drug-specific pathways through community structures of a literature network. Bioinform. 36(6): 1881-1888 (2020) - [j12]Minh Pham, Stephen J. Wilson, Harikumar Govindarajan, Chih-Hsu Lin, Olivier Lichtarge:
Discovery of disease- and drug-specific pathways through community structures of a literature network. Bioinform. 36(11): 3623 (2020) - [j11]Isa Jahnke, Yen-Mei Lee, Minh Pham, Hao He, Linda Austin:
Unpacking the Inherent Design Principles of Mobile Microlearning. Technol. Knowl. Learn. 25(3): 585-619 (2020) - [j10]Minh Pham, Doan B. Hoang, Zenon Chaczko:
Congestion-Aware and Energy-Aware Virtual Network Embedding. IEEE/ACM Trans. Netw. 28(1): 210-223 (2020) - [c18]Minh Pham, Zeqian Li, Jacob Whitehill:
Toward Better Speaker Embeddings: Automated Collection of Speech Samples From Unknown Distinct Speakers. ICASSP 2020: 7089-7093 - [c17]Minh Pham, Zeqian Li, Jacob Whitehill:
How Does Label Noise Affect the Quality of Speaker Embeddings? INTERSPEECH 2020: 3216-3220 - [i3]Minh Pham, Kaiqi Xiong:
A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles. CoRR abs/2007.08041 (2020)
2010 – 2019
- 2019
- [j9]Minh Pham, Dan Yang, Weihua Sheng:
A Sensor Fusion Approach to Indoor Human Localization Based on Environmental and Wearable Sensors. IEEE Trans Autom. Sci. Eng. 16(1): 339-350 (2019) - [c16]Minh Pham, Craig A. Knoblock, Jay Pujara:
Learning Data Transformations with Minimal User Effort. IEEE BigData 2019: 657-664 - [c15]Minh Pham, Doan B. Hoang, Zenon Chaczko:
Realization of congestion-aware energy-aware virtual link embedding. ITNAC 2019: 1-6 - [c14]Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce:
An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion 2019: 111-112 - 2018
- [j8]Minh Pham, Yehenew Mengistu, Ha Manh Do, Weihua Sheng:
Delivering home healthcare through a Cloud-based Smart Home Environment (CoSHE). Future Gener. Comput. Syst. 81: 129-140 (2018) - [j7]Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher:
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-Means Clustering. J. Sci. Comput. 77(2): 1133-1146 (2018) - [j6]Chong Zhang, Minh Pham, Sheng Fu, Yufeng Liu:
Robust multicategory support vector machines using difference convex algorithm. Math. Program. 169(1): 277-305 (2018) - [j5]Tingting Zhang, Minh Pham, Jianhui Sun, Guofen Yan, Huazhang Li, Yinge Sun, Marlen Z. Gonzalez, James A. Coan:
A low-rank multivariate general linear model for multi-subject fMRI data and a non-convex optimization algorithm for brain response comparison. NeuroImage 173: 580-591 (2018) - [j4]Ha Manh Do, Minh Pham, Weihua Sheng, Dan Yang, Meiqin Liu:
RiSH: A robot-integrated smart home for elderly care. Robotics Auton. Syst. 101: 74-92 (2018) - [c13]Minh Pham, Jing Lin, Yanjia Zhang:
Diagnosing Voice Disorder with Machine Learning. IEEE BigData 2018: 5263-5266 - [i2]Stanley J. Osher, Bao Wang, Penghang Yin, Xiyang Luo, Minh Pham, Alex Tong Lin:
Laplacian Smoothing Gradient Descent. CoRR abs/1806.06317 (2018) - 2017
- [c12]Craig A. Knoblock, Aparna R. Joshi, Abhishek Megotia, Minh Pham, Chelsea Ursaner:
Automatic Spatio-temporal Indexing to Integrate and Analyze the Data of an Organization. UrbanGIS@SIGSPATIAL 2017: 7:1-7:8 - [i1]Penghang Yin, Minh Pham, Adam M. Oberman, Stanley J. Osher:
Stochastic Backward Euler: An Implicit Gradient Descent Algorithm for k-means Clustering. CoRR abs/1710.07746 (2017) - 2016
- [c11]Minh Pham, Yehenew Mengistu, Ha Manh Do, Weihua Sheng:
Cloud-Based Smart Home Environment (CoSHE) for home healthcare. CASE 2016: 483-488 - [c10]Yehenew Mengistu, Minh Pham, Ha Manh Do, Weihua Sheng:
AutoHydrate: A wearable hydration monitoring system. IROS 2016: 1857-1862 - [c9]Minh Pham, Doan B. Hoang:
SDN applications - The intent-based Northbound Interface realisation for extended applications. NetSoft 2016: 372-377 - [c8]Minh Pham, Suresh Alse, Craig A. Knoblock, Pedro A. Szekely:
Semantic Labeling: A Domain-Independent Approach. International Semantic Web Conference (1) 2016: 446-462 - 2015
- [j3]Chungmok Lee, Minh Pham, Myong Kee Jeong, Dohyun Kim, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse:
A Network Structural Approach to the Link Prediction Problem. INFORMS J. Comput. 27(2): 249-267 (2015) - [c7]Doan B. Hoang, Minh Pham:
On software-defined networking and the design of SDN controllers. NOF 2015: 1-3 - [c6]Minh Pham, Dan Yang, Weihua Sheng, Meiqin Liu:
Human localization and tracking using distributed motion sensors and an inertial measurement unit. ROBIO 2015: 2127-2132 - 2014
- [j2]Xiaodong Lin, Minh Pham, Andrzej Ruszczynski:
Alternating linearization for structured regularization problems. J. Mach. Learn. Res. 15(1): 3447-3481 (2014) - [c5]Chungmok Lee, Minh Pham, Norman Kim, Myong K. Jeong, Dennis K. J. Lin, Wanpracha Art Chaovalitwongse:
A novel link prediction approach for scale-free networks. WWW (Companion Volume) 2014: 1333-1338 - 2010
- [j1]Wanzhi Qiu, Syed Khusro Saleem, Minh Pham:
Blind identification of multichannel systems driven by impulsive signals. Digit. Signal Process. 20(3): 736-742 (2010)
2000 – 2009
- 2007
- [c4]David Taubenheim, Wayne Chiou, Neiyer S. Correal, Paul Gorday, Spyros Kyperountas, Stephen Machan, Minh Pham, Qicai Shi, Ed Callaway, Richard Rachwalski:
Implementing an Experimental Cognitive Radio System for DySPAN. GLOBECOM 2007: 4040-4044 - 2005
- [c3]Minh Pham, Mei Xiang, Chih-Cheng Hung, Bor-Chen Kuo:
A comparative study on the K-views classifier and Markov random fields for image texture classification. ACM Southeast Regional Conference (1) 2005: 96-97 - [c2]Mei Xiang, Chih-Cheng Hung, Minh Pham, Bor-Chen Kuo, Tommy L. Coleman:
A parallelepiped multispectral image classifier using genetic algorithms. IGARSS 2005: 4 - 2004
- [c1]Chih-Cheng Hung, Dilek Karabudak, Minh Pham, Tommy L. Coleman:
Experiments on image texture classification with K-views classifier, Markov random fields and cooccurrence probabilities. IGARSS 2004: 3818-3821
Coauthor Index
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