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2020 – today
- 2024
[j3]Nawanol Theera-Ampornpunt
, Panisa Treepong:
Thai Food Recognition Using Deep Learning With Cyclical Learning Rates. IEEE Access 12: 174204-174221 (2024)- 2020
- [c12]Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh Krishna Panta, Kaustubh Joshi, Mostafa H. Ammar, Mung Chiang, Saurabh Bagchi:
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming. EWSN 2020: 37-48 - [i1]Nawanol Theera-Ampornpunt, Shikhar Suryavansh, Sameer Manchanda, Rajesh K. Panta, Kaustubh Joshi, Mostafa H. Ammar, Mung Chiang, Saurabh Bagchi:
AppStreamer: Reducing Storage Requirements of Mobile Games through Predictive Streaming. CoRR abs/2001.08169 (2020)
2010 – 2019
- 2019
- [j2]Chih-Hao Fang, Nawanol Theera-Ampornpunt, Michael A. Roth, Ananth Grama, Somali Chaterji:
AIKYATAN: mapping distal regulatory elements using convolutional learning on GPU. BMC Bioinform. 20(1): 488:1-488:17 (2019) - 2018
- [c11]Kwankamon Dittakan, Nawanol Theera-Ampornpunt:
Pum-Riang Thai Silk Pattern Classification Using Texture Analysis. PRICAI 2018: 82-90 - [c10]Kwankamon Dittakan, Nawanol Theera-Ampornpunt, Pattaporn Boodliam:
Non-destructive Grading of Pattavia Pineapple using Texture Analysis. WPMC 2018: 144-149 - 2017
- [b1]Nawanol Theera-Ampornpunt:
Improving Failure Management Through Cooperation Between Mobile Devices and Cellular Network. Purdue University, USA, 2017 - [c9]Nawanol Theera-Ampornpunt, Somali Chaterji:
Prediction of enhancer RNA activity levels from ChIP-seq-derived histone modification combinatorial codes. BIBM 2017: 1206-1214 - [c8]Heng Zhang, Nawanol Theera-Ampornpunt, He Wang, Saurabh Bagchi, Rajesh K. Panta:
Sense-aid: a framework for enabling network as a service for participatory sensing. Middleware 2017: 68-80 - 2016
- [j1]Seong Gon Kim, Nawanol Theera-Ampornpunt, Chih-Hao Fang, Mrudul Harwani, Ananth Grama, Somali Chaterji:
Opening up the blackbox: an interpretable deep neural network-based classifier for cell-type specific enhancer predictions. BMC Syst. Biol. 10(S-2): 54 (2016) - [c7]Nawanol Theera-Ampornpunt, Seong Gon Kim, Asish Ghoshal, Saurabh Bagchi, Ananth Grama, Somali Chaterji:
Fast training on large genomics data using distributed Support Vector Machines. COMSNETS 2016: 1-8 - [c6]Tarun Mangla, Nawanol Theera-Ampornpunt, Mostafa H. Ammar, Ellen W. Zegura, Saurabh Bagchi:
Video through a crystal ball: effect of bandwidth prediction quality on adaptive streaming in mobile environments. MoVid@MMSys 2016: 1:1-1:6 - [c5]Nawanol Theera-Ampornpunt, Tarun Mangla, Saurabh Bagchi, Rajesh Krishna Panta, Kaustubh R. Joshi, Mostafa H. Ammar, Ellen W. Zegura:
TANGO: Toward a More Reliable Mobile Streaming through Cooperation between Cellular Network and Mobile Devices. SRDS 2016: 297-306 - 2015
- [c4]Seong Gon Kim, Nawanol Theera-Ampornpunt, Ananth Grama, Somali Chaterji:
Interpretable deep neural networks for enhancer prediction. BIBM 2015: 242-249 - 2013
- [c3]Nawanol Theera-Ampornpunt, Saurabh Bagchi, Kaustubh R. Joshi, Rajesh K. Panta:
Using big data for more dependability: a cellular network tale. HotDep 2013: 2:1-2:5 - [c2]Ignacio Laguna, Subrata Mitra, Fahad A. Arshad, Nawanol Theera-Ampornpunt, Zongyang Zhu, Saurabh Bagchi, Samuel P. Midkiff, Michael Kistler, Ahmed Gheith:
Automatic Problem Localization via Multi-dimensional Metric Profiling. SRDS 2013: 121-132 - 2012
- [c1]Timothy K. Tsai, Nawanol Theera-Ampornpunt, Saurabh Bagchi:
A study of soft error consequences in hard disk drives. DSN 2012: 1-8
Coauthor Index
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