Nam Nguyen

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 54

Top Topics

Clinical Decision Support

Neural Architecture

Top Venues

Publications

Nhi Tran, Tan Tran, Nam Nguyen
Leveraging AI for Enhanced Software Effort Estimation: A Comprehensive Study and Framework Proposal. CoRR (2024)
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. KDD (2024)
Shivam Asija, Edward Du, Nam Nguyen, Stefanie Zollmann, Jonathan Ventura
3D Pano Inpainting: Building a VR Environment from a Single Input Panorama. VR Workshops (2024)
Heri Zhao, Jeffrey Hui, Joshua Howland, Nam Nguyen, Siqi Zuo, Andrea Hu, Christopher A. Choquette-Choo, Jingyue Shen, Joe Kelley, Kshitij Bansal, Luke Vilnis, Mateo Wirth, Paul Michel, Peter Choy, Pratik Joshi, Ravin Kumar, Sarmad Hashmi, Shubham Agrawal, Zhitao Gong, Jane Fine, Tris Warkentin, Ale Jakse Hartman, Bin Ni, Kathy Korevec, Kelly Schaefer, Scott Huffman
CodeGemma: Open Code Models Based on Gemma. CoRR (2024)
Navid Mohammadi Foumani, Geoffrey Mackellar, Soheila Ghane, Saad Irtza, Nam Nguyen, Mahsa Salehi
EEG2Rep: Enhancing Self-supervised EEG Representation Through Informative Masked Inputs. CoRR (2024)
Yuan Chai, Indra Gunawan, Nam Nguyen, Jian Zuo
A Preliminary Study of System Dynamics Models for Resilient and Smart Cities. IEEM (2023)
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Roman Vaculín
A Supervised Contrastive Learning Pretrain-Finetune Approach for Time Series. CoRR (2023)
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. KDD (2023)
S. Karthik Mukkavilli, Daniel Salles Civitarese, Johannes Schmude, Johannes Jakubik, Anne Jones, Nam Nguyen, Christopher Phillips, Sujit Roy, Shraddha Singh, Campbell D. Watson, Raghu K. Ganti, Hendrik F. Hamann, Udaysankar Nair, Rahul Ramachandran, Kommy Weldemariam
AI Foundation Models for Weather and Climate: Applications, Design, and Implementation. CoRR (2023)
Nam Nguyen, Thang Phan, Duc-Vu Nguyen, Kiet Van Nguyen
ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing. EMNLP (2023)
Trang H. Tran, Lam M. Nguyen, Kyongmin Yeo, Nam Nguyen, Dzung Phan, Roman Vaculín, Jayant Kalagnanam
An End-to-End Time Series Model for Simultaneous Imputation and Forecast. CoRR (2023)
Krti Tallam, Nam Nguyen, Jonathan Ventura, Andrew Fricker, Sadie Calhoun, Jennifer O'Leary, Mauriça Fitzgibbons, Ian Robbins, Ryan K. Walter
Application of Deep Learning for Classification of Intertidal Eelgrass from Drone-Acquired Imagery. Remote. Sens. 15 (9) (2023)
Nam Nguyen
Biomarker Discovery with Quantum Neural Networks: A Case-study in CTLA4-Activation Pathways. CoRR (2023)
Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting. CoRR (2023)
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)
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 (2022)
Nam Nguyen, Kwang-Cheng Chen
Bayesian Quantum Neural Networks. IEEE Access 10 (2022)
Giam Nguyen, Nam Nguyen, Nguyen Thi Huong Giang
Situation and Proposals for Implementing Artificial Intelligence-based Instructional Technology in Vietnamese Secondary Schools. Int. J. Emerg. Technol. Learn. 17 (18) (2022)
Nam Nguyen, Kwang-Cheng Chen
Quantum Embedding Search for Quantum Machine Learning. IEEE Access 10 (2022)
Nam Nguyen, J. Morris Chang
CSNAS: Contrastive Self-Supervised Learning Neural Architecture Search Via Sequential Model-Based Optimization. IEEE Trans. Artif. Intell. 3 (4) (2022)
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 (2021)
Nam Nguyen, J. Morris Chang
COVID-19 Pneumonia Severity Prediction using Hybrid Convolution-Attention Neural Architectures. CoRR (2021)
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) (2021)
Gary Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments. EDM (2021)
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)
Nam Nguyen, Brian Quanz
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting. AAAI (2021)
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)
Nam Nguyen, J. Morris Chang
Contrastive Self-supervised Neural Architecture Search. CoRR (2021)
Nam Nguyen, Brian Quanz
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting. CoRR (2021)
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)
Nam Nguyen, Kwang-Chen Chen
Quantum Embedding Search for Quantum Machine Learning. CoRR (2021)
Gary M. Weiss, Nam Nguyen, Karla Dominguez, Daniel D. Leeds
Identifying Hubs in Undergraduate Course Networks Based on Scaled Co-Enrollments: Extended Version. CoRR (2021)
Adetomiwa O. Oguntuga, Jordan Overcash, Gaurika Tyagi, Nam Nguyen
Feature Importance Determination of a Diabetes Risk Classification Model. AMIA (2020)
Di Zhuang, Nam Nguyen, Keyu Chen, J. Morris Chang
SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System. CoRR (2020)
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)
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)
Theresa C. Sudaria, Nam Nguyen
Mapping Unstructured Diagnoses to ICD10 using Natural Language Processing and Web-Scraping. AMIA (2019)
Adetomiwa O. Oguntuga, Jordan Overcash, Nam Nguyen
Building a LVEF extraction pipeline for SOAP notes. AMIA (2019)
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)
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 (2018)
Gaurika Tyagi, Adetomiwa O. Oguntuga, Morgan Harrell, Alina Bogdanov, Nam Nguyen
Machine Learning Assisted Custom Lab Order Sets Creation. AMIA (2018)
Ziv Goldfeld, Ewout van den Berg, Kristjan H. Greenewald, Igor Melnyk, Nam Nguyen, Brian Kingsbury, Yury Polyanskiy
Estimating Information Flow in Neural Networks. CoRR (2018)
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)
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)
Kyongmin Yeo, Igor Melnyk, Nam Nguyen, Eun Kyung Lee
DE-RNN: Forecasting the Probability Density Function of Nonlinear Time Series. ICDM (2018)
Dongwon Lee, Nishanth Sastry, Ingmar Weber, Nam Nguyen
ACM International Conference on Hypertext and Social Media. SIGWEB Newsl. 2018 (Winter) (2018)
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)
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)
Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee. NIPS (2017)
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)
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)
Nam Nguyen, Deanna Needell, Tina Woolf
Linear Convergence of Stochastic Iterative Greedy Algorithms With Sparse Constraints. IEEE Trans. Inf. Theory 63 (11) (2017)
Alwen Tiu, Nam Nguyen, Ross Horne
SPEC: An Equivalence Checker for Security Protocols. APLAS (2016)
Alireza Aghasi, Nam Nguyen, Justin Romberg
Net-Trim: A Layer-wise Convex Pruning of Deep Neural Networks. CoRR (2016)
Laurent Demanet, Nam Nguyen
The recoverability limit for superresolution via sparsity. CoRR (2015)
Nam Nguyen, Mohammad Arifuzzaman, Takuro Sato
A Novel WLAN Roaming Decision and Selection Scheme for Mobile Data Offloading. J. Electr. Comput. Eng. 2015 (2015)
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) (2015)
Nam Nguyen, Deanna Needell, Tina Woolf
Linear Convergence of Stochastic Iterative Greedy Algorithms with Sparse Constraints. CoRR (2014)
Nam Nguyen, Takuro Sato
A Proposal for Dynamic WLAN Selection for Mobile Data Offloading in Heterogeneous Network. VTC Spring (2014)
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)
Laurent Demanet, Deanna Needell, Nam Nguyen
Super-resolution via superset selection and pruning CoRR (2013)
Nam Nguyen, Sagar Dhakal, James E. Womack
Localization of handheld devices inside vehicles using audio masking. ICCVE (2013)
Sagar Dhakal, Nam Nguyen, James E. Womack
Adaptive pilot placement for estimation of vehicle to vehicle wireless channel. ICCVE (2013)
Nam Nguyen, Laurent Demanet
Sparse image super-resolution via superset selection and pruning. CAMSAP (2013)
Sagar Dhakal, Yupeng Jia, Nam Nguyen
NLOS-communication between shadowed vehicles using by-standing relay vehicles. ITSC (2012)
Siavash Mirarab, Nam Nguyen, Tandy J. Warnow
SEPP: SATe -Enabled Phylogenetic Placement. Pacific Symposium on Biocomputing (2012)
Yang Song, Nam Nguyen, Li-wei He, Scott Imig, Robert Rounthwaite
Searchable web sites recommendation. WSDM (2011)
Nam Nguyen
Improving Hierarchical Classification with Partial Labels. ECAI (2010)
Nam Nguyen
A New SVM Approach to Multi-instance Multi-label Learning. ICDM (2010)
Paul N. Bennett, Nam Nguyen
Refined experts: improving classification in large taxonomies. SIGIR (2009)
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
Boosting performance for 2D Linear Discriminant Analysis via regression. ICPR (2008)
Nam Nguyen, Yunsong Guo
Metric Learning: A Support Vector Approach. ECML/PKDD (2) (2008)
Nam Nguyen, Rich Caruana
Improving Classification with Pairwise Constraints: A Margin-Based Approach. ECML/PKDD (2) (2008)
Nam Nguyen, Rich Caruana
Classification with partial labels. KDD (2008)
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)
Nam Nguyen, Wanquan Liu, Svetha Venkatesh
Random Subspace Two-Dimensional PCA for Face Recognition. PCM (2007)
Nam Nguyen, Yunsong Guo
Comparisons of sequence labeling algorithms and extensions. ICML (2007)
Nam Nguyen, Rich Caruana
Consensus Clusterings. ICDM (2007)
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, Casey Smith
Meta Clustering. ICDM (2006)
Nam Nguyen, Svetha Venkatesh
Discovery of Activity Structures using the Hierarchical Hidden Markov Model. BMVC (2005)