Most recent publication is listed first; browse, filter, and review abstracts on Zotero.

1.
Yang X, Zhang N, Schrader P (2022) A study of brain networks for autism spectrum disorder classification using resting-state functional connectivity. Machine Learning with Applications 8:100290. https://doi.org/10.1016/j.mlwa.2022.100290
1.
Tran M, Ly L, Hua B-S, Le N (2022) SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data. arXiv:220105905 [cs, eess]
1.
Vo-Ho V-K, Yamazaki K, Hoang H, Tran M-T, Le N (2022) Meta-Learning of NAS for Few-shot Learning in Medical Image Applications. arXiv:220308951 [cs, eess]
1.
Tran M, Vo-Ho V-K, Quinn K, Nguyen H, Luu K, Le N (2022) CapsNet for Medical Image Segmentation. arXiv:220308948 [cs, eess]
1.
Spann B, Mead E, Maleki M, Agarwal N, Williams T (2022) Applying diffusion of innovations theory to social networks to understand the stages of adoption in connective action campaigns. Online Social Networks and Media 28:100201. https://doi.org/10.1016/j.osnem.2022.100201
1.
Bellis ES, von Münchow CS, Odero CO, Kronberger A, Kelly E, Xia T, Huang X, Wicke S, Runo SM, dePamphilis CW, Lasky JR (2022) Genomic signatures of host-specific selection in a parasitic plant. Evolutionary Biology
1.
Moon SH, Udaondo Z, Abram KZ, Li X, Yang X, DiCaprio EL, Jun S-R, Huang E (2022) Isolation of AmpC- and extended spectrum β-lactamase-producing Enterobacterales from fresh vegetables in the United States. Food Control 132:108559. https://doi.org/10.1016/j.foodcont.2021.108559
1.
Hu Y, Zhang L (2022) Achieving Long-Term Fairness in Sequential Decision Making. In: Proceedings of the First MiniCon Conference
1.
Wassenaar TM, Wanchai V, Buzard G, Ussery DW (2022) The first three waves of the Covid-19 pandemic hint at a limited genetic repertoire for SARS-CoV-2. FEMS Microbiology Reviews fuac003. https://doi.org/10.1093/femsre/fuac003
1.
McNerney HW, Spann B, Mead EL, Kready J, Marcoux T, Agarwal N (2022) Assessing the influence and reach of digital activity amongst far-right actors: A comparative evaluation of mainstream and ‘free speech’ social media platforms. For(e)Dialogue. https://doi.org/10.21428/e3990ae6.60c47409
1.
Maleki M, Arani M, Mead E, Kready J, Agarwal N (2022) Applying an Epidemiological Model to Evaluate the Propagation of Toxicity related to COVID-19 on Twitter
1.
Tanu SS, Zhang L, Gauri D, Sha Z (2022) An Exploratory Study on Fairness-Aware Design Decision-Making
1.
Daneshjou R, Barata C, Betz-Stablein B, Celebi ME, Codella N, Combalia M, Guitera P, Gutman D, Halpern A, Helba B, Kittler H, Kose K, Liopyris K, Malvehy J, Seog HS, Soyer HP, Tkaczyk ER, Tschandl P, Rotemberg V (2022) Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group. JAMA Dermatol 158:90. https://doi.org/10.1001/jamadermatol.2021.4915
1.
Quach KG, Le N, Duong CN, Jalata I, Roy K, Luu K (2022) Non-volume preserving-based fusion to group-level emotion recognition on crowd videos. Pattern Recognition 128:108646. https://doi.org/10.1016/j.patcog.2022.108646
1.
Khaund T, Kirdemir B, Agarwal N, Liu H, Morstatter F (2022) Social Bots and Their Coordination During Online Campaigns: A Survey. IEEE Trans Comput Soc Syst 9:530–545. https://doi.org/10.1109/TCSS.2021.3103515
1.
Le N, Rathour VS, Yamazaki K, Luu K, Savvides M (2022) Deep reinforcement learning in computer vision: a comprehensive survey. Artif Intell Rev 55:2733–2819. https://doi.org/10.1007/s10462-021-10061-9
1.
Alassad M, Hussain MN, Agarwal N (2022) Comprehensive decomposition optimization method for locating key sets of commenters spreading conspiracy theory in complex social networks. Cent Eur J Oper Res 30:367–394. https://doi.org/10.1007/s10100-021-00738-5
1.
Mead E, Agarwal N (2022) Surface Web vs Deep Web vs Dark Web. In: Schintler LA, McNeely CL (eds) Encyclopedia of Big Data. Springer International Publishing, Cham, pp 901–905
1.
Nasiri E, Milanova M, Nasiri A (2022) Masked Face Detection Using Artificial Intelligent Techniques. In: Kountchev R, Mironov R, Nakamatsu K (eds) New Approaches for Multidimensional Signal Processing. Springer, Singapore, pp 3–34
1.
Pierce E (2022) A Balanced Scorecard for Maximizing Data Performance. Frontiers in Big Data 5:
1.
Hu C, Sheng VS, Wu N, Wu X (2022) Managing Uncertainty in Crowdsourcing with Interval-Valued Labels. In: Rayz J, Raskin V, Dick S, Kreinovich V (eds) Explainable AI and Other Applications of Fuzzy Techniques. Springer International Publishing, Cham, pp 166–178
1.
Jiang R, Chazot P, Pavese N, Crookes D, Bouridane A, Celebi ME (2022) Private Facial Prediagnosis as an Edge Service for Parkinson’s DBS Treatment Valuation. IEEE J Biomed Health Inform 1–1. https://doi.org/10.1109/JBHI.2022.3146369
1.
Zhao J, Wallgrün JO, Sajjadi P, LaFemina P, Lim KYT, Springer JP, Klippel A (2021) Longitudinal Effects in the Effectiveness of Educational Virtual Field Trips. Journal of Educational Computing Research 073563312110629. https://doi.org/10.1177/07356331211062925
1.
Hoang D-H, Diep G-H, Tran M-T, Le NTH (2021) DAM-AL: Dilated Attention Mechanism with Attention Loss for 3D Infant Brain Image Segmentation. arXiv:211213559 [cs, eess]. https://doi.org/10.1145/3477314.3507112
1.
Xu D, Yuan S, Wu X (2021) Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. In: 2021 IEEE International Conference on Big Data (Big Data). IEEE, Orlando, FL, USA, pp 5474–5483
1.
Zheng P, Yuan S, Wu X, Wu Y (2021) Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process. In: 2021 IEEE International Conference on Big Data (Big Data). IEEE, Orlando, FL, USA, pp 581–589
1.
Ebeid IA, Talburt JR, Siddique MAS (2021) Graph-based hierarchical record clustering for unsupervised entity resolution. arXiv:211206331 [cs]
1.
Spurling M, Hu C, Zhan H, Sheng VS (2021) Estimating crowd-worker’s reliability with interval-valued labels to improve the quality of crowdsourced work. In: 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, Orlando, FL, USA, pp 01–08
1.
Islam S, Abbasi A, Agarwal N, Zheng W, Doretto G, Adjeroh DA (2021) Detecting Drug-Drug Interactions using Protein Sequence-Structure Similarity Networks. In: 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp 3472–3477
1.
Li D, Xu J, Yang MQ (2021) Gene Regulation Analysis Reveals Perturbations of Autism Spectrum Disorder during Neural System Development. Genes 12:1901. https://doi.org/10.3390/genes12121901
1.
Iyer A, Conrad L, Prior F (2021) Heuristic Oncological Prognosis Evaluator (HOPE): Deep-Learning Framework to Detect Multiple Cancers. J Stud Res 10:. https://doi.org/10.47611/jsrhs.v10i3.2070
1.
Marcoux T, Adeliyi O, Agarwal N (2021) Characterizing video-based online information environment using VTracker. In: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery, New York, NY, USA, pp 297–300
1.
Akinnubi A, Agarwal N, Stine Z, Oyedotun S (2021) Analyzing online opinions and influence campaigns on blogs using BlogTracker. In: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery, New York, NY, USA, pp 309–312
1.
Zhan H, Zhang K, Hu C, Sheng VS (2021) HGATs: hierarchical graph attention networks for multiple comments integration. In: Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. ACM, Virtual Event Netherlands, pp 159–163
1.
Absar S, Zhang L (2021) Discovering Time-invariant Causal Structure from Temporal Data. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. Association for Computing Machinery, New York, NY, USA, pp 2807–2811
1.
Zhan H, Zhang K, Hu C, Sheng V (2021) Multi-objective Privacy-preserving Text Representation Learning. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. ACM, Virtual Event Queensland Australia, pp 3612–3616
1.
Du W, Wu X (2021) Fair and Robust Classification Under Sample Selection Bias. In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management. ACM, Virtual Event Queensland Australia, pp 2999–3003
1.
Vo K, Joo H, Yamazaki K, Truong S, Kitani K, Tran M-T, Le N (2021) AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation. arXiv:211011474 [cs]
1.
Van M-H, Du W, Wu X, Lu A (2021) Poisoning Attacks on Fair Machine Learning. arXiv:211008932 [cs]
1.
Harvey W, Rainwater C, Cothren J (2021) Direct Aerial Visual Geolocalization Using Deep Neural Networks. Remote Sensing 13:4017. https://doi.org/10.3390/rs13194017
1.
Alkam D, Wongsurawat T, Nookaew I, Richardson AR, Ussery D, Smeltzer MS, Jenjaroenpun P (2021) Is amplification bias consequential in transposon sequencing (TnSeq) assays? A case study with a Staphylococcus aureus TnSeq library subjected to PCR-based and amplification-free enrichment methods. Microbial Genomics 7:. https://doi.org/10.1099/mgen.0.000655
1.
Le N, Sorensen J, Bui TD, Choudhary A, Luu K, Nguyen H (2021) PairFlow: Enhancing Portable Chest X-Ray By Flow-Based Deformation For Covid-19 Diagnosing. In: 2021 IEEE International Conference on Image Processing (ICIP). IEEE, Anchorage, AK, USA, pp 215–219
1.
Nasiri E, Milanova M, Nasiri A (2021) Video Surveillance Framework Based on Real-Time Face Mask Detection and Recognition. In: 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA). IEEE, Kocaeli, Turkey, pp 1–7
1.
Xu D, Du W, Wu X (2021) Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. ACM, Virtual Event Singapore, pp 1924–1932
1.
Jun S-R, Boerma M, Udaondo Z, Richardson S, Thrall KD, Miousse IR, Seng J, Pathak R, Hauer-Jensen M (2021) Plasma Metabolomics in a Nonhuman Primate Model of Abdominal Radiation Exposure. Metabolites 11:540. https://doi.org/10.3390/metabo11080540
1.
Truong T-D, Duong CN, De Vu T, Pham HA, Raj B, Le N, Luu K (2021) The Right to Talk: An Audio-Visual Transformer Approach. arXiv:210803256 [cs, eess]
1.
Le N, Bui T, Vo-Ho V-K, Yamazaki K, Luu K (2021) Narrow Band Active Contour Attention Model for Medical Segmentation. Diagnostics 11:1393. https://doi.org/10.3390/diagnostics11081393
1.
Le MD, Singh Rathour V, Truong QS, Mai Q, Brijesh P, Le N (2021) Multi-module Recurrent Convolutional Neural Network with Transformer Encoder for ECG Arrhythmia Classification. In: 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, Athens, Greece, pp 1–5
1.
Truong T-D, Duong CN, Tran M-T, Le N, Luu K (2021) Fast Flow Reconstruction via Robust Invertible n × n Convolution. Future Internet 13:179. https://doi.org/10.3390/fi13070179
1.
Le N, Sorensen J, Bui T, Choudhary A, Luu K, Nguyen H (2021) Enhance Portable Radiograph for Fast and High Accurate COVID-19 Monitoring. Diagnostics 11:1080. https://doi.org/10.3390/diagnostics11061080