Ensemble LUT classification for degraded document enhancement. - Tayo Obafemi-Ajayi; Gady Agam; Ophir Frieder (DRR, 2008)

Efficient MRF approach to document image enhancement. - Tayo Obafemi-Ajayi; Gady Agam; Ophir Frieder (ICPR, 2008)

Efficient shape-LUT classification for document image restoration. - Tayo Obafemi-Ajayi; Gady Agam; Ophir Frieder (DRR, 2009)

Learning shape features for document enhancement. - Tayo Obafemi-Ajayi; Gady Agam; Ophir Frieder (DRR, 2010)

Evaluation of human perception of degradation in document images. - Tayo Obafemi-Ajayi; Gady Agam; Ophir Frieder (DRR, 2010)

Historical document enhancement using LUT classification. - Tayo Obafemi-Ajayi; Gady Agam; Ophir Frieder (Int. J. Document Anal. Recognit., 2010)

Statistical multi-resolution schemes for historical document binarization. - Tayo Obafemi-Ajayi; Gady Agam (DRR, 2011)

ZHENG classification in Traditional Chinese Medicine based on modified specular-free tongue images. - Ratchadaporn Kanawong; Tayo Obafemi-Ajayi; Jun Yu; Dong Xu 002; Shao Li; Ye Duan (BIBM Workshops, 2012)

Features for automated tongue image shape classification. - Tayo Obafemi-Ajayi; Ratchadaporn Kanawong; Dong Xu 002; Shao Li; Ye Duan (BIBM Workshops, 2012)

Ensemble methods with simple features for document zone classification. - Tayo Obafemi-Ajayi; Gady Agam; Bingqing Xie (DRR, 2012)

Cluster-K+: Network topology for searching replicated data in p2p systems. - Tayo Obafemi-Ajayi; Sanjiv Kapoor; Ophir Frieder (Inf. Process. Manag., 2012)

Character-Based Automated Human Perception Quality Assessment in Document Images. - Tayo Obafemi-Ajayi; Gady Agam (IEEE Trans. Syst. Man Cybern. Part A, 2012)

Goal-oriented evaluation of binarization algorithms for historical document images. - Tayo Obafemi-Ajayi; Gady Agam (DRR, 2013)

Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model. - Tayo Obafemi-Ajayi; Dao Lam; T. Nicole Takahashi; Stephen Kanne; Donald C. Wunsch (CIBCB, 2015)

A Graph-Theoretic Clustering Methodology Based on Vertex-Attack Tolerance. - Jeffrey Borwey; Darla Ahlert; Tayo Obafemi-Ajayi; Gunes Ercal (FLAIRS, 2015)

Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes. - Khalid Al-Jabery; Tayo Obafemi-Ajayi; Gayla R. Olbricht; T. Nicole Takahashi; Stephen Kanne; Donald C. Wunsch (EMBC, 2016)

Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures. - John Matta; Tayo Obafemi-Ajayi; Jeffrey Borwey; Donald C. Wunsch; Gunes Ercal (ICDM, 2016)

Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype. - Tayo Obafemi-Ajayi; Luke Settles; Yuqing Su; Cynthia Germeroth; Gayla R. Olbricht; Donald C. Wunsch; T. Nicole Takahashi; Judith H. Miles (BIBM, 2017)

Building the K-12 engineering pipeline: An assessment of where we stand. - Theresa Odun-Ayo; Tayo Obafemi-Ajayi (FIE, 2017)

Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning. - Tayo Obafemi-Ajayi; Khalid Al-Jabery; Lauren E. Salminen; David H. Laidlaw; Ryan P. Cabeen; Donald Wunsch; Robert H. Paul (SSCI, 2017)

Random Subspace Projection for Predicting Biogeographical Ancestry. - Tanjin Taher Toma; Tayo Obafemi-Ajayi; Jeremy M. Dawson; Donald A. Adjeroh (BIBM, 2018)

Analysis of grapevine gene expression data using node-based resilience clustering. - Jeffrey Dale; John Matta; Susanne Howard; Gunes Ercal; Wenping Qiu; Tayo Obafemi-Ajayi (CIBCB, 2018)

Ensemble validation paradigm for intelligent data analysis in autism spectrum disorders. - Thy Nguyen; Kerri Nowell; Kimberly E. Bodner; Tayo Obafemi-Ajayi (CIBCB, 2018)

Performance Evaluation and Enhancement of Biclustering Algorithms. - Jeffrey Dale; America Nishimoto; Tayo Obafemi-Ajayi (ICPRAM, 2018)

Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization. - Thy Nguyen; Arthur Steven Younger; Emmett Redd; Tayo Obafemi-Ajayi (IJCNN, 2018)

Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes. - John Matta; Junya Zhao; Gunes Ercal; Tayo Obafemi-Ajayi (Appl. Netw. Sci., 2018)

Comparative Analysis of Feature Selection Methods to Identify Biomarkers in a Stroke-Related Dataset. - Thomas Clifford; Justin Bruce; Tayo Obafemi-Ajayi; John Matta (CIBCB, 2019)

Multi-objective Optimization Approach to find Biclusters in Gene Expression Data. - Jeffrey Dale; Junya Zhao; Tayo Obafemi-Ajayi (CIBCB, 2019)

Genotype Combinations Linked to Phenotype Subgroups in Autism Spectrum Disorders. - Junya Zhao; Thy Nguyen; Jonathan Kopel; Perry B. Koob; Donald A. Adieroh; Tayo Obafemi-Ajayi (CIBCB, 2019)

Recurrent Network and Multi-arm Bandit Methods for Multi-task Learning without Task Specification. - Thy Nguyen; Tayo Obafemi-Ajayi (IJCNN, 2019)

Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks. - Emmett Redd; Arthur Steven Younger; Tayo Obafemi-Ajayi (IJCNN, 2019)

Structured Iterative Hard Thresholding for Categorical and Mixed Data Types. - Thy Nguyen; Tayo Obafemi-Ajayi (SSCI, 2019)

Improved Classification of Medical Data Using Meta-Best Feature Selection. - Matthew Chaplin; Jacob Grubb; Thomas Clifford; Justin Bruce; Tayo Obafemi-Ajayi; John Matta (EMBC, 2020)

Exploratory Analysis of Concussion Recovery Trajectories using Multi-modal Assessments and Serum Biomarkers. - Zachary Roy; Sujit Subhash; Lien A. Bui; Bassam Hadi; Daniel B. Hier; Donald Wunsch; Gayla R. Olbricht; Tayo Obafemi-Ajayi (EMBC, 2020)

Statistical Comparative Analysis and Evaluation of Validation Indices for Clustering Optimization. - Thy Nguyen; Jason Viehman; Dacosta Yeboah; Gayla R. Olbricht; Tayo Obafemi-Ajayi (SSCI, 2020)

Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics. - Sujit Subhash; Tayo Obafemi-Ajayi; Dennis Goodman; Donald C. Wunsch II; Gayla R. Olbricht (SSCI, 2020)

An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups. - Dacosta Yeboah; Louis Steinmeister; Daniel B. Hier; Bassam Hadi; Donald C. Wunsch; Gayla R. Olbricht; Tayo Obafemi-Ajayi (IEEE Access, 2020)

A deep learning model to predict traumatic brain injury severity and outcome from MR images. - Dacosta Yeboah; Hung Nguyen; Daniel B. Hier; Gayla R. Olbricht; Tayo Obafemi-Ajayi (CIBCB, 2021)

A PheWAS Model of Autism Spectrum Disorder. - John Matta; Daniel Dobrino; Swade Howard; Dacosta Yeboah; Jonathan Kopel; Yasser El-Manzalawy; Tayo Obafemi-Ajayi (EMBC, 2021)

Noise Quality and Super-Turing Computation in Recurrent Neural Networks. - Emmett Redd; Tayo Obafemi-Ajayi (ICANN (4), 2021)

NBT (no-boundary thinking): needed to attend to ethical implications of data and AI. - Joan Peckham; Andy D. Perkins; Tayo Obafemi-Ajayi; Xiuzhen Huang (BCB, 2022)

Team building without boundaries. - Andy D. Perkins; Joan Peckham; Tayo Obafemi-Ajayi; Xiuzhen Huang (BCB, 2022)

No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine. - Tayo Obafemi-Ajayi; Andy D. Perkins; Bindu Nanduri; Donald C. Wunsch II; James A. Foster; Joan Peckham (AI Ethics, 2022)

Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning. - Lien A. Bui; Dacosta Yeboah; Louis Steinmeister; Sima Azizi; Daniel B. Hier; Donald C. Wunsch; Gayla R. Olbricht; Tayo Obafemi-Ajayi (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An Explainable Deep Learning Model for Prediction of Severity of Alzheimer's Disease. - Godwin Ekuma; Daniel B. Hier; Tayo Obafemi-Ajayi (CIBCB, 2023)

High-Throughput Phenotyping of Clinical Text Using Large Language Models. - Daniel B. Hier; S. Ilyas Munzir; Anne Stahlfeld; Tayo Obafemi-Ajayi; Michael D. Carrithers (BHI, 2024)

Towards Explainability of Dimension Reduction Plots of Unsupervised Learning Model Outcomes. - Tony E. Astuhuaman Davila; Daniel B. Hier; Tayo Obafemi-Ajayi (CIBCB, 2024)

Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification. - Ngoc Do; Daniel B. Hier; Tayo Obafemi-Ajayi (CIBCB, 2024)

Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data. - Arnold A. Harder; Gayla R. Olbricht; Godwin Ekuma; Daniel B. Hier; Tayo Obafemi-Ajayi (IEEE Access, 2024)

PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies. - Philip J. Freda; Attri Ghosh; Priyanka Bhandary; Nicholas Matsumoto; Apurva S. Chitre; Jiayan Zhou; Molly A. Hall; Abraham A. Palmer; Tayo Obafemi-Ajayi; Jason H. Moore (BioData Min., 2024)

Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids. - Daniel B. Hier; Tayo Obafemi-Ajayi; Gayla R. Olbricht; Devin M. Burns; Sasha Petrenko; Donald C. Wunsch II (CoRR, 2024)

When Less Is Not More: Large Language Models Normalize Less-Frequent Terms with Lower Accuracy. - Daniel B. Hier; Thanh Son Do; Tayo Obafemi-Ajayi (CoRR, 2024)

ACIL-Group/CENTROIDS. - Daniel B. Hier; Tayo Obafemi-Ajayi; Gayla R. Olbricht; Devin Burns; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/CENTROIDS. - Daniel B. Hier; Tayo Obafemi-Ajayi; Gayla R. Olbricht; Devin Burns; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/CENTROIDS. - Daniel B. Hier; Tayo Obafemi-Ajayi; Gayla R. Olbricht; Devin Burns; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/KGO. - Daniel B. Hier; Tayo Obafemi-Ajayi; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/KGO. - Daniel B. Hier; Tayo Obafemi-Ajayi; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

ACIL-Group/KGO. - Daniel B. Hier; Tayo Obafemi-Ajayi; Sasha Petrenko; Donald Wunsch (Zenodo, 2024)

Analyzing Biomedical Datasets with Symbolic Tree Adaptive Resonance Theory. - Sasha Petrenko; Daniel B. Hier; Mary A. Bone; Tayo Obafemi-Ajayi; Erik J. Timpson; William E. Marsh; Michael Speight; Donald C. Wunsch (Inf., 2024)

AI as an accelerator for defining new problems that transcends boundaries. - Tayo Obafemi-Ajayi; Steven F. Jennings; Yu Zhang; Kara Li Liu; Joan Peckham; Jason H. Moore (BioData Min., 2025)

A simplified retriever to improve accuracy of phenotype normalizations by large language models. - Daniel B. Hier; Thanh Son Do; Tayo Obafemi-Ajayi (Frontiers Digit. Health, 2025)

Efficient Standardization of Clinical Notes using Large Language Models. - Daniel B. Hier; Michael D. Carrithers; Thanh Son Do; Tayo Obafemi-Ajayi (CoRR, 2025)

Guest Editorial: Deep Medicine and AI for Health. - María Fernanda Cabrera-Umpiérrez; Tayo Obafemi-Ajayi; Ahmed Metwally 002; Bobak J. Mortazavi (IEEE J. Biomed. Health Informatics, 2025)