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2020 – today

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2022
[j10]
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Nam Nguyen, Kwang-Cheng Chen:
Quantum Embedding Search for Quantum Machine Learning. IEEE Access 10: 41444-41456 (2022)
[j9]
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Nam Nguyen, Kwang-Cheng Chen:
Bayesian Quantum Neural Networks. IEEE Access 10: 54110-54122 (2022)
[j8]
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Tung Nguyen, Trung Mai, Nam Nguyen, Linh Ngo Van, Khoat Than:
Balancing stability and plasticity when learning topic models from short and noisy text streams. Neurocomputing 505: 30-43 (2022)
[j7]
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Nam Nguyen, J. Morris Chang:
CSNAS: Contrastive Self-Supervised Learning Neural Architecture Search Via Sequential Model-Based Optimization. IEEE Trans. Artif. Intell. 3(4): 609-624 (2022)
[c43]
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Long Doan, Hieu Le, Huy Dang, Long Tran, Dao Long, Hai Minh Nguyen, Hanh Pham, Nam Nguyen, Ngoc Hoang Luong, Huynh Thi Thanh Binh:
TF-GeneNAS: An evolution-based training-free approach to Neural Architecture Search. IJCNN 2022: 1-7
2021
[j6]
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Hadi Zanddizari, Nam Nguyen, Behnam Zeinali, J. Morris Chang:
A new preprocessing approach to improve the performance of CNN-based skin lesion classification. Medical Biol. Eng. Comput. 59(5): 1123-1131 (2021)
[c42]
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Nam Nguyen, Brian Quanz:
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting. AAAI 2021: 9117-9125
[c41]
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Svati B. Patel, Nam Nguyen:
Creation of a Mapped, Machine-Readable Taxonomy to Facilitate Extraction of Social Determinants of Health Data from Electronic Health Records. AMIA 2021
[c40]
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Bert Böddeker, Wilhard von Wendorff, Nam Nguyen, Peter Diehl, Roland Meertens, Rolf Johannson:
Automated driving safety - The art of conscious risk taking - minimum lateral distances to pedestrians. DATE 2021: 1466-1471
[c39]
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Gary Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds:
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments. EDM 2021
[c38]
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Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král:
ICDAR 2021 Competition on Historical Map Segmentation. ICDAR (4) 2021: 693-707
[i12]
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  - journals/corr/abs-2101-10460
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Nam Nguyen, Brian Quanz:
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting. CoRR abs/2101.10460 (2021)
[i11]
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  - journals/corr/abs-2102-10557
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Nam Nguyen, J. Morris Chang:
Contrastive Self-supervised Neural Architecture Search. CoRR abs/2102.10557 (2021)
[i10]
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  - journals/corr/abs-2104-14500
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Gary M. Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds:
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version. CoRR abs/2104.14500 (2021)
[i9]
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  - journals/corr/abs-2105-11853
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Nam Nguyen, Kwang-Chen Chen:
Quantum Embedding Search for Quantum Machine Learning. CoRR abs/2105.11853 (2021)
[i8]
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  - journals/corr/abs-2105-13265
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Joseph Chazalon, Edwin Carlinet, Yizi Chen, Julien Perret, Bertrand Duménieu, Clément Mallet, Thierry Géraud, Vincent Nguyen, Nam Nguyen, Josef Baloun, Ladislav Lenc, Pavel Král:
ICDAR 2021 Competition on Historical Map Segmentation. CoRR abs/2105.13265 (2021)
[i7]
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  - journals/corr/abs-2107-02672
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Nam Nguyen, J. Morris Chang:
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures. CoRR abs/2107.02672 (2021)
2020
[c37]
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Adetomiwa O. Oguntuga, Jordan Overcash, Gaurika Tyagi, Nam Nguyen:
Feature Importance Determination of a Diabetes Risk Classification Model. AMIA 2020
[i6]
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  - journals/corr/abs-2004-12059
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Di Zhuang, Nam Nguyen, Keyu Chen, J. Morris Chang:
SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System. CoRR abs/2004.12059 (2020)

2010 – 2019

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2019
[c36]
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Adetomiwa O. Oguntuga, Jordan Overcash, Nam Nguyen:
Building a LVEF extraction pipeline for SOAP notes. AMIA 2019
[c35]
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Svati B. Patel, Nam Nguyen:
Extracting and Standardizing Social Determinants of Health Diagnosis from Problems List from a Large Ambulatory Electronic Health Record (EHR) Database. AMIA 2019
[c34]
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  - conf/amia/SudariaN19
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Theresa C. Sudaria, Nam Nguyen:
Mapping Unstructured Diagnoses to ICD10 using Natural Language Processing and Web-Scraping. AMIA 2019
[c33]
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Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy:
Estimating Information Flow in Deep Neural Networks. ICML 2019: 2299-2308
[c32]
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  - conf/ijcnn/JhaKANLCA19
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Dipendra Jha, Aaron Gilad Kusne, Reda Al-Bahrani, Nam Nguyen, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
Peak Area Detection Network for Directly Learning Phase Regions from Raw X-ray Diffraction Patterns. IJCNN 2019: 1-8
2018
[j5]
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Nam Nguyen, Van-Quyen Dinh, Tung Nguyen-Duc, Quoc-Tuan Ta, Xuan-Viet Dao, Thanh-Huy Pham, Trung-Kien Nguyen-Duc:
Effect of potting materials on LED bulb's driver temperature. Microelectron. Reliab. 86: 77-81 (2018)
[j4]
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  - journals/sigweb/LeeSWN18
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Dongwon Lee, Nishanth Sastry, Ingmar Weber, Nam Nguyen:
29^th ACM International Conference on Hypertext and Social Media. SIGWEB Newsl. 2018(Winter): 3:1-3:4 (2018)
[c31]
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Hai Tran, Tuan-Anh Mai, Dang-Huy Vuong, Nam Nguyen:
On Improvement of Channel Estimation for the Uplink of Large Scale MU-MIMO using DMRS. 5G World Forum 2018: 294-298
[c30]
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Adetomiwa O. Oguntuga, Alan Wilks, Gaurika Tyagi, Nam Nguyen:
Extraction of DEXA Lab Values from SOAP Notes using the MITRE Identification Scrubber Toolkit (MIST) to Perform Named Entity Recognition. AMIA 2018
[c29]
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Gaurika Tyagi, Adetomiwa O. Oguntuga, Morgan Harrell, Alina Bogdanov, Nam Nguyen:
Machine Learning Assisted Custom Lab Order Sets Creation. AMIA 2018
[c28]
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  - conf/icdm/YeoMNL18
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Kyongmin Yeo, Igor Melnyk, Nam Nguyen, Eun Kyung Lee:
DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series. ICDM 2018: 697-706
[i5]
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  - journals/corr/abs-1810-05728
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Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy:
Estimating Information Flow in Neural Networks. CoRR abs/1810.05728 (2018)
2017
[j3]
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Nam Nguyen, Deanna Needell, Tina Woolf:
Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints. IEEE Trans. Inf. Theory 63(11): 6869-6895 (2017)
[c27]
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  - conf/amia/GangadharNPBKKV17
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Shruti Gangadhar, Nam Nguyen, James Pesuit, Alina Bogdanov, Lee Kallenbach, Jessica Ken, Joe Vasey, Richard M. Loomis:
Effectiveness of a Cloud-Based EHR Clinical Decision Support Program for Body Mass Index (BMI) Screening and Follow-up. AMIA 2017
[c26]
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  - conf/amia/LabkoffBKNGO17
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Steven E. Labkoff, Christopher Bond, Lee Kallenbach, Nam Nguyen, Shruti Gangadhar, Dan O'Brien:
Reach and Impact of an EHR Pain Care Clinical Decision Support Program. AMIA 2017
[c25]
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  - conf/apsipa/AngNLG17
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Yi Yang Ang, Nam Nguyen, Joni Polili Lie, Woon-Seng Gan:
Localization of harmonic source using a single moving sensor of known trajectory. APSIPA 2017: 324-328
[c24]
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Yi Yang Ang, Nam Nguyen, Joni Polili Lie, Woon-Seng Gan:
Grid-free compressive beamforming using a single moving sensor of known trajectory. APSIPA 2017: 329-332
[c23]
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  - conf/nips/AghasiANR17
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Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg:
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. NIPS 2017: 3177-3186
2016
[c22]
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  - conf/aplas/TiuNH16
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Alwen Tiu, Nam Nguyen, Ross Horne:
SPEC: An Equivalence Checker for Security Protocols. APLAS 2016: 87-95
[i4]
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Alireza Aghasi, Nam Nguyen, Justin Romberg:
Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks. CoRR abs/1611.05162 (2016)
2015
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Siavash Mirarab, Nam Nguyen, Sheng Guo, Li-San Wang, Junhyong Kim, Tandy J. Warnow:
PASTA: Ultra-Large Multiple Sequence Alignment for Nucleotide and Amino-Acid Sequences. J. Comput. Biol. 22(5): 377-386 (2015)
[j1]
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Nam Nguyen, Mohammad Arifuzzaman, Takuro Sato:
A Novel WLAN Roaming Decision and Selection Scheme for Mobile Data Offloading. J. Electr. Comput. Eng. 2015: 324936:1-324936:15 (2015)
[i3]
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Laurent Demanet, Nam Nguyen:
The recoverability limit for superresolution via sparsity. CoRR abs/1502.01385 (2015)
2014
[c21]
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  - conf/ifsr/LaszloBBBDKLNW14
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Alexander Laszlo, Stefan Blachfellner, Ockie J. H. Bosch, Violeta Bulc, Valeria Delgado, Dino Karabeg, Mingfen Li, Nam Nguyen, Warwick Watkins:
Thrivable Systems - from Vision to Reality. IFSR Conversation 2014: 14-20
[c20]
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Nam Nguyen, Takuro Sato:
A Proposal for Dynamic WLAN Selection for Mobile Data Offloading in Heterogeneous Network. VTC Spring 2014: 1-5
[e1]
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Mary C. Edson, Gary S. Metcalf, Gerhard Chroust, Nam Nguyen, Stefan Blachfellner:
Systems Thinking - New Directions in Theory, Practice and Application: Proceedings of the Seventeenth IFSR Conversation: International Federation for Systems Research, St. Magdalena / Linz, Austria, April 27 - May 2, 2014. SEA-Publications 41, Johannes Kepler University Linz 2014, ISBN 978-3-902457-41-7 [contents]
[i2]
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Nam Nguyen, Deanna Needell, Tina Woolf:
Linear Convergence of Stochastic Iterative Greedy Algorithms with Sparse Constraints. CoRR abs/1407.0088 (2014)
2013
[c19]
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  - conf/camsap/NguyenD13
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Nam Nguyen, Laurent Demanet:
Sparse image super-resolution via superset selection and pruning. CAMSAP 2013: 208-211
[c18]
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Nam Nguyen, Sagar Dhakal, James E. Womack:
Localization of handheld devices inside vehicles using audio masking. ICCVE 2013: 38-42
[c17]
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Sagar Dhakal, Nam Nguyen, James E. Womack:
Adaptive pilot placement for estimation of vehicle to vehicle wireless channel. ICCVE 2013: 216-220
[i1]
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  - journals/corr/abs-1302-6288
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Laurent Demanet, Deanna Needell, Nam Nguyen:
Super-resolution via superset selection and pruning. CoRR abs/1302.6288 (2013)
2012
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Sagar Dhakal, Yupeng Jia, Nam Nguyen:
NLOS-communication between shadowed vehicles using by-standing relay vehicles. ITSC 2012: 479-484
[c15]
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Siavash Mirarab, Nam Nguyen, Tandy J. Warnow:
SEPP: SATe -Enabled Phylogenetic Placement. Pacific Symposium on Biocomputing 2012: 247-258
2011
[c14]
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  - conf/wsdm/SongNHIR11
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Yang Song, Nam Nguyen, Li-wei He, Scott Imig, Robert Rounthwaite:
Searchable web sites recommendation. WSDM 2011: 405-414
2010
[b1]
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  - phd/us/Nguyen10
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Nam Nguyen:
Semi-Supervised Learning with Partially Labeled Examples. Cornell University, USA, 2010
[c13]
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Nam Nguyen:
Improving Hierarchical Classification with Partial Labels. ECAI 2010: 315-320
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Nam Nguyen:
A New SVM Approach to Multi-instance Multi-label Learning. ICDM 2010: 384-392

2000 – 2009

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2009
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Paul N. Bennett, Nam Nguyen:
Refined experts: improving classification in large taxonomies. SIGIR 2009: 11-18
2008
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Nam Nguyen, Wanquan Liu, Svetha Venkatesh:
Boosting performance for 2D Linear Discriminant Analysis via regression. ICPR 2008: 1-4
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Michael S. McCorquodale, Scott M. Pernia, Justin D. O'Day, Gordon A. Carichner, Eric D. Marsman, Nam Nguyen, Sundus Kubba, Si Nguyen, Jonathan J. Kuhn, Richard B. Brown:
A 0.5-to-480MHz Self-Referenced CMOS Clock Generator with 90ppm Total Frequency Error and Spread-Spectrum Capability. ISSCC 2008: 350-351
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Nam Nguyen, Rich Caruana:
Classification with partial labels. KDD 2008: 551-559
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Nam Nguyen, Rich Caruana:
Improving Classification with Pairwise Constraints: A Margin-Based Approach. ECML/PKDD (2) 2008: 113-124
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Nam Nguyen, Yunsong Guo:
Metric Learning: A Support Vector Approach. ECML/PKDD (2) 2008: 125-136
2007
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Nam Nguyen, Rich Caruana:
Consensus Clusterings. ICDM 2007: 607-612
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Nam Nguyen, Yunsong Guo:
Comparisons of sequence labeling algorithms and extensions. ICML 2007: 681-688
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Nam Nguyen, Wanquan Liu, Svetha Venkatesh:
Random Subspace Two-Dimensional PCA for Face Recognition. PCM 2007: 655-664
2006
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Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, Casey Smith:
Meta Clustering. ICDM 2006: 107-118
2005
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Nam Nguyen, Svetha Venkatesh:
Discovery of Activity Structures using the Hierarchical Hidden Markov Model. BMVC 2005

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