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Honghuang Lin
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2020 – today
- 2023
- [j9]Edith Mensah Otabil, Qiying Dai, Paula Anzenberg, Andreas Filippaios, Eric Ding, Jordy Mehawej, Joanne E. Mathew, Darleen Lessard, Ziyue Wang, Kamran Noorishirazi, Alexander Hamel, Tenes Paul, Danielle DiMezza, Dong Han, Fahimeh Mohagheghian, Apurv Soni, Honghuang Lin, Bruce Barton, Jane Saczynski, Ki H. Chon, Khanh-Van Tran, David D. McManus:
Technology engagement is associated with higher perceived physical well-being in stroke patients prescribed smartwatches for atrial fibrillation detection. Frontiers Digit. Health 5 (2023) - [i1]Rumeng Li, Xun Wang, Dan Berlowitz, Brian Silver, Wen Hu, Heather Keating, Raelene Goodwin, Weisong Liu, Honghuang Lin, Hong Yu:
Early Prediction of Alzheimers Disease Leveraging Symptom Occurrences from Longitudinal Electronic Health Records of US Military Veterans. CoRR abs/2307.12369 (2023) - 2022
- [j8]Chathurangi H. Pathiravasan
, Yuankai Zhang, Xuzhi Wang, Ludovic Trinquart
Factors associated with long-term use of digital devices in the electronic Framingham Heart Study. npj Digit. Medicine 5 (2022)
2010 – 2019
- 2017
- [c8]Honghuang Lin, Asad M. Khan, Peng Li:
Statistical circuit performance dependency analysis via sparse relevance kernel machine. ICICDT 2017: 1-4 - 2016
- [c7]Honghuang Lin, Peng Li:
Relevance vector and feature machine for statistical analog circuit characterization and built-in self-test optimization. DAC 2016: 11:1-11:6 - 2015
- [j7]Honghuang Lin, Peng Li:
Circuit Performance Classification With Active Learning Guided Sampling for Support Vector Machines. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34(9): 1467-1480 (2015) - 2014
- [c6]Honghuang Lin, Peng Li:
Parallel Hierarchical Reachability Analysis for Analog Verification. DAC 2014: 150:1-150:6 - 2013
- [c5]Honghuang Lin, Peng Li, Chris J. Myers
Verification of digitally-intensive analog circuits via kernel ridge regression and hybrid reachability analysis. DAC 2013: 66:1-66:6 - [c4]Shaoda Yu, Peng Li, Honghuang Lin, Ehsan Rohani
Support Vector Machine Based Detection of Drowsiness Using Minimum EEG Features. SocialCom 2013: 827-835 - 2012
- [c3]Honghuang Lin, Peng Li:
Classifying circuit performance using active-learning guided support vector machines. ICCAD 2012: 187-194 - [c2]Nuria Medina-Medina, A. Broka, Sean M. Lacey, Honghuang Lin
Comparing Bowtie and BWA to Align Short Reads from a RNA-Seq Experiment. PACBB 2012: 197-207 - 2011
- [c1]Zhiping Zhang, Honghuang Lin
Genomic profiling by machine learning. BIBM Workshops 2011: 662-668
2000 – 2009
- 2008
- [j6]Unitsa Sangket, Amornrat Phongdara, Wilaiwan Chotigeat, Darran Nathan, Woo-Yeon Kim, Jong Bhak, Chumpol Ngamphiw, Sissades Tongsima
Automatic synchronization and distribution of biological databases and software over low-bandwidth networks among developing countries. Bioinform. 24(2): 299-301 (2008) - [j5]Honghuang Lin
Evaluation of MHC-II peptide binding prediction servers: applications for vaccine research. BMC Bioinform. 9(S-12) (2008) - 2007
- [j4]Serene A. K. Ong
Efficacy of different protein descriptors in predicting protein functional families. BMC Bioinform. 8 (2007) - 2006
- [j3]Lianyi Han
PEARLS: Program for Energetic Analysis of Receptor-Ligand System. J. Chem. Inf. Model. 46(1): 445-450 (2006) - [j2]Ze-Rong Li, Honghuang Lin
PROFEAT: a web server for computing structural and physicochemical features of proteins and peptides from amino acid sequence. Nucleic Acids Res. 34(Web-Server-Issue): 32-37 (2006) - 2004
- [j1]Zhi Wei Cao, Ying Xue
MoViES: molecular vibrations evaluation server for analysis of fluctuational dynamics of proteins and nucleic acids. Nucleic Acids Res. 32(Web-Server-Issue): 679-685 (2004)
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