| 2025 | CIBCB | Balanced Benchmarking of Zero-Shot and RAG Approaches for Biomedical Term Normalization. | Thanh Son Do, Daniel B. Hier, Tayo Obafemi-Ajayi |
| 2025 | IJCNN | Ethics vs. Regulation: Converging Frameworks for Trustworthy Human-Centered AI in Biomedical Research. | Tayo Obafemi-Ajayi, Tiffani J. Bright, Emily F. Wong, Donald Wunsch, Joan Peckham, Jason H. Moore |
| 2024 | CIBCB | Towards Explainability of Dimension Reduction Plots of Unsupervised Learning Model Outcomes. | Tony E. Astuhuaman Davila, Daniel B. Hier, Tayo Obafemi-Ajayi |
| 2024 | CIBCB | Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification. | Ngoc Do, Daniel B. Hier, Tayo Obafemi-Ajayi |
| 2023 | CIBCB | An Explainable Deep Learning Model for Prediction of Severity of Alzheimer's Disease. | Godwin Ekuma, Daniel B. Hier, Tayo Obafemi-Ajayi |
| 2021 | CIBCB | 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 |
| 2021 | ICANN | Noise Quality and Super-Turing Computation in Recurrent Neural Networks. | Emmett Redd, Tayo Obafemi-Ajayi |
| 2019 | CIBCB | Comparative Analysis of Feature Selection Methods to Identify Biomarkers in a Stroke-Related Dataset. | Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta |
| 2019 | CIBCB | Multi-objective Optimization Approach to find Biclusters in Gene Expression Data. | Jeffrey Dale, Junya Zhao, Tayo Obafemi-Ajayi |
| 2019 | CIBCB | 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 |
| 2019 | IJCNN | Recurrent Network and Multi-arm Bandit Methods for Multi-task Learning without Task Specification. | Thy Nguyen, Tayo Obafemi-Ajayi |
| 2019 | IJCNN | Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks. | Emmett Redd, Arthur Steven Younger, Tayo Obafemi-Ajayi |
| 2018 | CIBCB | Analysis of grapevine gene expression data using node-based resilience clustering. | Jeffrey Dale, John Matta, Susanne Howard, Gunes Ercal, Wenping Qiu, Tayo Obafemi-Ajayi |
| 2018 | CIBCB | Ensemble validation paradigm for intelligent data analysis in autism spectrum disorders. | Thy Nguyen, Kerri Nowell, Kimberly E. Bodner, Tayo Obafemi-Ajayi |
| 2018 | ICPRAM | Performance Evaluation and Enhancement of Biclustering Algorithms. | Jeffrey Dale, America Nishimoto, Tayo Obafemi-Ajayi |
| 2018 | IJCNN | Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization. | Thy Nguyen, Arthur Steven Younger, Emmett Redd, Tayo Obafemi-Ajayi |
| 2017 | FIE | Building the K-12 engineering pipeline: An assessment of where we stand. | Theresa Odun-Ayo, Tayo Obafemi-Ajayi |
| 2016 | ICDM | Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures. | John Matta, Tayo Obafemi-Ajayi, Jeffrey Borwey, Donald C. Wunsch, Gunes Ercal |
| 2015 | CIBCB | 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 |
| 2015 | FlAIRS | A Graph-Theoretic Clustering Methodology Based on Vertex-Attack Tolerance. | Jeffrey Borwey, Darla Ahlert, Tayo Obafemi-Ajayi, Gunes Ercal |
| 2008 | ICPR | Efficient MRF approach to document image enhancement. | Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder |