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2020 – today
- 2023
[j6]Marwa Keshk, Nickolaos Koroniotis, Nam Pham
, Nour Moustafa, Benjamin P. Turnbull, Albert Y. Zomaya:
An explainable deep learning-enabled intrusion detection framework in IoT networks. Inf. Sci. 639: 119000 (2023)- [j5]Liuqing Yang, Shoudong Wang, Xiaohong Chen, Wei Chen, Omar M. Saad, Xu Zhou, Nam Pham, Zhicheng Geng, Sergey Fomel, Yangkang Chen:
High-Fidelity Permeability and Porosity Prediction Using Deep Learning With the Self-Attention Mechanism. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3429-3443 (2023) - [c15]Cary Xiao, Nam Pham, Erik Imel, Xiao Luo:
Patient-GAT: Sarcopenia Prediction using Multi-modal Data Fusion and Weighted Graph Attention Networks. SAC 2023: 614-617
2010 – 2019
- 2015
- [j4]Rong Qu, Nam Pham, Ruibin Bai, Graham Kendall:
Hybridising heuristics within an estimation distribution algorithm for examination timetabling. Appl. Intell. 42(4): 679-693 (2015) - [j3]Nam Pham, Jong-Hoon Youn:
Adaptive MAC Protocol for Throughput Enhancement in Multihop Wireless Networks. Netw. Protoc. Algorithms 7(1): 84-97 (2015) - 2012
- [j2]Edmund K. Burke, Nam Pham, Rong Qu, Jay Yellen:
Linear combinations of heuristics for examination timetabling. Ann. Oper. Res. 194(1): 89-109 (2012) - [c14]Mark Giesbrecht, Nam Pham:
A Symbolic Approach to Compute a Null-Space Basis in the Projection Method. ASCM 2012: 243-259 - [c13]Shen Li, Hieu Khac Le, Nam Pham, Jin Heo, Tarek F. Abdelzaher:
Joint Optimization of Computing and Cooling Energy: Analytic Model and a Machine Room Case Study. ICDCS 2012: 396-405 - 2011
- [j1]Nam Pham, Aleksander Malinowski, Tomasz Bartczak:
Comparative Study of Derivative Free Optimization Algorithms. IEEE Trans. Ind. Informatics 7(4): 592-600 (2011) - [c12]Hossein Ahmadi, Tarek F. Abdelzaher, Jiawei Han, Nam Pham, Raghu K. Ganti:
The Sparse Regression Cube: A Reliable Modeling Technique for Open Cyber-Physical Systems. ICCPS 2011: 87-96 - [c11]Prima Chairunnanda, Nam Pham, Urs Hengartner:
Privacy: Gone with the Typing! Identifying Web Users by Their Typing Patterns. SocialCom/PASSAT 2011: 974-980 - 2010
- [b1]Nam Pham:
Perturbation based privacy for time-series data. University of Illinois Urbana-Champaign, USA, 2010 - [c10]Nam Pham, Hao Yu, Bogdan M. Wilamowski:
Neural Network Trainer through Computer Networks. AINA 2010: 1203-1209 - [c9]Nam Pham, Raghu K. Ganti, Md. Yusuf Sarwar Uddin, Suman Nath, Tarek F. Abdelzaher:
Privacy-Preserving Reconstruction of Multidimensional Data Maps in Vehicular Participatory Sensing. EWSN 2010: 114-130 - [c8]Raghu K. Ganti, Nam Pham, Hossein Ahmadi, Saurabh Nangia, Tarek F. Abdelzaher:
GreenGPS: a participatory sensing fuel-efficient maps application. MobiSys 2010: 151-164 - [c7]Hossein Ahmadi, Nam Pham, Raghu K. Ganti, Tarek F. Abdelzaher, Suman Nath, Jiawei Han:
Privacy-aware regression modeling of participatory sensing data. SenSys 2010: 99-112 - [c6]Nam Pham, Tarek F. Abdelzaher, Suman Nath:
On Bounding Data Stream Privacy in Distributed Cyber-physical Systems. SUTC/UMC 2010: 221-228
2000 – 2009
- 2009
- [c5]Keivan Kianmehr, X. Peng, Chris Luce, Justin Chung, Nam Pham, Walter Chung, Reda Alhajj, Jon G. Rokne, Ken Barker:
Mining online shopping patterns and communities. iiWAS 2009: 400-404 - [c4]Nam Pham, Jong-Hoon Youn, Hesham H. Ali:
Improving Network Throughput Using a Fixed Scheduling Scheme and a P-Persistent Approach. NTMS 2009: 1-6 - 2008
- [c3]Nam Pham, Tarek F. Abdelzaher:
Robust Dynamic Human Activity Recognition Based on Relative Energy Allocation. DCOSS 2008: 525-530 - [c2]Qing Cao, Debessay Fesehaye Kassa, Nam Pham, Md. Yusuf Sarwar Uddin, Tarek F. Abdelzaher:
Virtual Battery: An Energy Reserve Abstraction for Embedded Sensor Networks. RTSS 2008: 123-133 - [c1]Raghu K. Ganti, Nam Pham, Yu-En Tsai, Tarek F. Abdelzaher:
PoolView: stream privacy for grassroots participatory sensing. SenSys 2008: 281-294
Coauthor Index
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