The list below is sorted so that the most recent publication is listed first. To browse, sort. filter, search, and review abstracts interactively, please check out our Zotero Group Library for the project.
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Tran M, Vo K, Yamazaki K, Fernandes A, Kidd M, Le N (2024) AISFormer: Amodal Instance Segmentation with Transformer
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Solaiman IA, Agarwal N (2024) Multiagent-based Youtube Content Discovery Bot. In: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery, New York, NY, USA, pp 450–453
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Akinnubi A, Agarwal N, Alassad M, Ajiboye J (2024) Knowledge Graph Embedding for Topical and Entity Classification in Multi-Source Social Network Data. In: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery, New York, NY, USA, pp 530–537
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Shajari S, Alassad M, Agarwal N (2024) Characterizing Suspicious Commenter Behaviors. In: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery, New York, NY, USA, pp 631–635
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Cakmak MC, Okeke O, Onyepunuka U, Spann B, Agarwal N (2024) Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube’s Recommendation Algorithm. In: Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Association for Computing Machinery, New York, NY, USA, pp 753–760
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Holden WM, Krakowiak PA, Krakowiak KM, Fowler J (2024) Arkansas Summer Research Institute: The Evolution of an Engaging Online Training Program in Data Analytics and Research Targeting Underrepresented Students in STEM. Journal of STEM Outreach 7:1–16. https://doi.org/10.15695/jstem/v7i2.02
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Shaik M, Cakmak MC, Spann B, Agarwal N (2024) Characterizing Multimedia Adoption and its Role on Mobilization in Social Movements
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Pérez-Delgado M-L, Celebi ME (2024) A comparative study of color quantization methods using various image quality assessment indices. Multimedia Systems 30:40. https://doi.org/10.1007/s00530-023-01206-7
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Donghoon Kim, Andrew Booth (2024) Poster: Website Fingerprinting Attacks with Advanced Features on Tor Networks. Little Rock, AR
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Utkarsh Rai, Chris Hafey, Lawrence Tarbox (2024) Poster: Lossless High Throughput JPEG2000 as a Default Storage Format for Medical Images. Little Rock, AR
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Eswar Dheekonda (2024) Poster: Assessing Personal Privacy Risk using NLP. Little Rock, AR
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Eubank AJ (2024) Poster: Knowledge Acquisition Methods Identify Diagnostic Patterns of Cognitive Impairment in Parkinson’s Disease. Little Rock, AR
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Hong Cheng, Rupesh Konduru (2024) Poster: Optimizing Multi-Class Object Detection with Vision Transformers and Customized Loss Functions. Little Rock, AR
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Kshitiz Tiwari, Lu Zhang (2024) Poster: Examining Counterfactual Fairness in LLM Text Generation. Little Rock, AR
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Naga Venkata Sai Raviteja Chappa, Page Dobbs, Charlotte McCormick, Susana Rodriguez Gongora, Khoa Luu (2024) Poster: Leveraging LLMs for Tobacco Usage Assessment on Social Media Platforms using Computer Vision. Little Rock, AR
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Rainwater C, Pizano RT (2024) Poster: A Bi-Modular Auto Encoder Based Unsupervised Degradation Detection Methodology for Remaining Useful Life Prediction. Little Rock, AR
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Vasavi Surisetty (2024) Poster: Enhancing the Data Science Education Ecosystem: A collaborative approach to Seamless Two-Year College Transfers in Arkansas
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Samuel Trout, Amy Hoang (2024) Poster: Developing Case Studies
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Katelyn Johnson, Stephen Luka Greenway, Ananya Vangoor, Susan Gauch, Song Yang (2024) Poster: Understanding Attitudes Toward Meritocracy After COVID-19
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Sudeepa Panta, Qinghua Li (2024) Poster: Privacy-Preserving Machine Learning: Polynomial Approximations for Homomorphic Encryption. Little Rock, AR
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Yatish Dubasi, Qinghua Li, William Burroughs (2024) Poster: POP-FA: Paillier and Order-Preserving encryption-based Facial Authentication. Little Rock, AR
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Xintao Wu, Feng Chen, Chengli Zhao, Aneesh Komanduri (2024) Poster: Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. Little Rock, AR
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Mai Q, Gauch S, Adams DJ (2024) Poster: SetBERT: Enhancing Retrieval Performance for Boolean Logic and Set Operation Queries
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Gibson Nkhata, Susan Gauch (2024) Poster: Intermediate-Task Transfer Learning: Leveraging Sarcasm Detection for Stance Detection. Little Rock, AR
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Van M-H, Xintao Wu, Alycia Carey (2024) Poster: HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. Little Rock, AR
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Uttamasha Anjally, Susan Gauch (2024) Poster: Fairness in Academic Peer Review. Little Rock, AR
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Nachtmann H, Hames H, Cothren J, Rainwater C, Sexton C (2024) Transportation and Maritime Analytics Partnerships Hub. OSF
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Alassad M, Agarwal N, Nwana L (2024) Uncovering Latent Influential Patterns and Interests on Twitter Using Contextual Focal Structure Analysis Design. In: Cherifi H, Rocha LM, Cherifi C, Donduran M (eds) Complex Networks & Their Applications XII. Springer Nature Switzerland, Cham, pp 340–353
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Akinnubi A, Alassad M, Agarwal N, Amure R (2024) Identifying Contextualized Focal Structures in Multisource Social Networks by Leveraging Knowledge Graphs. In: Cherifi H, Rocha LM, Cherifi C, Donduran M (eds) Complex Networks & Their Applications XII. Springer Nature Switzerland, Cham, pp 15–27
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Alassad M, Agarwal N (2024) Focal Structures Behavior in Dynamic Social Networks. In: Cherifi H, Rocha LM, Cherifi C, Donduran M (eds) Complex Networks & Their Applications XII. Springer Nature Switzerland, Cham, pp 208–221
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Anwar S, Ali S, Abdulla D, Omekara SD, Mendiola S, Wright K, Muhammed SA (2024) Breast Cancer Radiogenomics Data Generation Using Combined Generative Adversarial Networks GANs. In: Bennour A, Bouridane A, Chaari L (eds) Intelligent Systems and Pattern Recognition. Springer Nature Switzerland, Cham, pp 106–119
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Yousefi N, Noor NB, Spann B, Agarwal N (2024) Examining Toxicity’s Impact on Reddit Conversations. In: Cherifi H, Rocha LM, Cherifi C, Donduran M (eds) Complex Networks & Their Applications XII. Springer Nature Switzerland, Cham, pp 401–411
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Carey AN, Bhaila K, Wu X (2023) Randomized Response Has No Disparate Impact on Model Accuracy. In: 2023 IEEE International Conference on Big Data (BigData). IEEE, Sorrento, Italy, pp 5460–5465
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Vinay MS, Yuan S, Wu X (2023) Robust Fraud Detection via Supervised Contrastive Learning. In: 2023 IEEE International Conference on Big Data (BigData). IEEE, Sorrento, Italy, pp 1279–1288
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Mai H, Huang W, Du W, Wu X (2023) A Robust Classifier under Missing-Not-at-Random Sample Selection Bias. In: 2023 IEEE International Conference on Big Data (BigData). IEEE, Sorrento, Italy, pp 1206–1213
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Pham TT, Brecheisen J, Nguyen A, Nguyen H, Le N (2023) I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
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Zhang W, Lee A, Yang MQ (2023) Analysis of Single-Cell RNA Sequencing Data Unveils Novel Immune Prognostic Biomarkers. IEEE Computer Society, pp 558–563
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Ma J, Epperson N, Talburt J, Yang MQ (2023) A Deep Learning-Based Model for Gene Regulatory Network Inference. IEEE Computer Society, pp 546–550
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Kim S, Jeon Y, Kim W, Hwang D, Kim D (2023) Devised Deephashing Models Through Self-Supervised Learning for Image Retrieval. IEEE Computer Society, pp 1–6
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Van M-H, Carey AN, Wu X (2023) HINT: Healthy Influential-Noise based Training to Defend against Data Poisoning Attacks. In: 2023 IEEE International Conference on Data Mining (ICDM). IEEE, Shanghai, China, pp 608–617
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Iyer A, Kemp A, Rahmatallah Y, Pillai L, Glover A, Prior F, Larson-Prior L, Virmani T (2023) A machine learning method to process voice samples for identification of Parkinson’s disease. Sci Rep 13:20615. https://doi.org/10.1038/s41598-023-47568-w
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Nguyen DMH, Pham TN, Diep NT, Phan NQ, Pham Q, Tong V, Nguyen BT, Le NH, Ho N, Xie P, Sonntag D, Niepert M (2023) On the Out of Distribution Robustness of Foundation Models in Medical Image Segmentation
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Shajari S, Alassad M, Agarwal N (2023) Detecting Suspicious Commenter Mob Behaviors on YouTube Using Graph2Vec
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Phan T, Vo K, Le D, Doretto G, Adjeroh D, Le N (2023) ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection
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Bui N-T, Hoang D-H, Nguyen Q-T, Tran M-T, Le N (2023) MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp Segmentation
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Joo HK, Vo K, Yamazaki K, Le N (2023) CLIP-TSA: Clip-Assisted Temporal Self-Attention for Weakly-Supervised Video Anomaly Detection. In: 2023 IEEE International Conference on Image Processing (ICIP). IEEE, Kuala Lumpur, Malaysia, pp 3230–3234
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Nguyen T, Vu MN, Vuong A, Nguyen D, Vo T, Le N, Nguyen A (2023) Open-Vocabulary Affordance Detection in 3D Point Clouds. In: 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, Detroit, MI, USA, pp 5692–5698
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Shaik M, Yousefi N, Agarwal N, Spann B (2023) Evaluating Role of Instagram’s Multimedia in Connective Action Leveraging Diffusion of Innovation and Cognitive Mobilization Theories: Brazilian and Peruvian Social Unrest Case Studies. In: 2023 10th International Conference on Behavioural and Social Computing (BESC). pp 1–6
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Yang J, Kim S, Lee S, Kim W, Kim D, Hwang D (2023) Robust Authentication Analysis of Copyright Images through Deep Hashing Models with Self-supervision. jucs 29:938–958. https://doi.org/10.3897/jucs.98824
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Cherry R, Muhanga JJ, Mehrabi H, Conlin SK, Coridan RH (2023) Monolithic light concentration by core–shell TiO 2 nanostructures templated by monodisperse polymer colloidal monolayers. Nanotechnology 34:345601. https://doi.org/10.1088/1361-6528/acd787