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ORCIDTayo Obafemi-Ajayi
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2020 – today
- 2024
[j9]Arnold A. Harder, Gayla R. Olbricht
, Godwin Ekuma, Daniel B. Hier, Tayo Obafemi-Ajayi:
Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data. IEEE Access 12: 42974-42991 (2024)- [j8]Sasha Petrenko, Daniel B. Hier, Mary A. Bone, Tayo Obafemi-Ajayi, Erik J. Timpson, William E. Marsh, Michael Speight, Donald C. Wunsch:
Analyzing Biomedical Datasets with Symbolic Tree Adaptive Resonance Theory. Inf. 15(3): 125 (2024) - [c40]Tony E. Astuhuaman Davila, Daniel B. Hier, Tayo Obafemi-Ajayi:
Towards Explainability of Dimension Reduction Plots of Unsupervised Learning Model Outcomes. CIBCB 2024: 1-9 - [c39]Ngoc Do, Daniel B. Hier, Tayo Obafemi-Ajayi:
Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification. CIBCB 2024: 1-8 - [i4]Daniel B. Hier, Tayo Obafemi-Ajayi, Gayla R. Olbricht, Devin M. Burns, Sasha Petrenko, Donald C. Wunsch II:
Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids. CoRR abs/2403.20246 (2024) - [i3]Daniel B. Hier, S. Ilyas Munzir, Anne Stahlfeld, Tayo Obafemi-Ajayi, Michael D. Carrithers:
High-Throughput Phenotyping of Clinical Text Using Large Language Models. CoRR abs/2408.01214 (2024) - [i2]Daniel B. Hier, Thanh Son Do, Tayo Obafemi-Ajayi:
A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models. CoRR abs/2409.13744 (2024) - [i1]Daniel B. Hier, Thanh Son Do, Tayo Obafemi-Ajayi:
When Less Is Not More: Large Language Models Normalize Less-Frequent Terms with Lower Accuracy. CoRR abs/2409.13746 (2024) - 2023
- [c38]Godwin Ekuma, Daniel B. Hier, Tayo Obafemi-Ajayi:
An Explainable Deep Learning Model for Prediction of Severity of Alzheimer's Disease. CIBCB 2023: 1-8 - 2022
- [j7]Tayo Obafemi-Ajayi, Andy D. Perkins, Bindu Nanduri, Donald C. Wunsch II, James A. Foster, Joan Peckham:
No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine. AI Ethics 2(4): 635-643 (2022) - [j6]Lien A. Bui, Dacosta Yeboah, Louis Steinmeister, Sima Azizi, Daniel B. Hier, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1365-1378 (2022) - [c37]Joan Peckham, Andy D. Perkins, Tayo Obafemi-Ajayi, Xiuzhen Huang:
NBT (no-boundary thinking): needed to attend to ethical implications of data and AI. BCB 2022: 74:1-74:2 - [c36]Andy D. Perkins, Joan Peckham, Tayo Obafemi-Ajayi, Xiuzhen Huang:
Team building without boundaries. BCB 2022: 75:1-75:3 - 2021
- [c35]Dacosta Yeboah, Hung Nguyen, Daniel B. Hier, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
A deep learning model to predict traumatic brain injury severity and outcome from MR images. CIBCB 2021: 1-6 - [c34]John Matta, Daniel Dobrino, Swade Howard, Dacosta Yeboah, Jonathan Kopel, Yasser El-Manzalawy, Tayo Obafemi-Ajayi:
A PheWAS Model of Autism Spectrum Disorder. EMBC 2021: 2110-2114 - [c33]Emmett Redd, Tayo Obafemi-Ajayi:
Noise Quality and Super-Turing Computation in Recurrent Neural Networks. ICANN (4) 2021: 469-478 - 2020
- [j5]Dacosta Yeboah, Louis Steinmeister, Daniel B. Hier, Bassam Hadi, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups. IEEE Access 8: 180690-180705 (2020) - [c32]Zachary Roy, Sujit Subhash, Lien A. Bui, Bassam Hadi, Daniel B. Hier, Donald Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
Exploratory Analysis of Concussion Recovery Trajectories using Multi-modal Assessments and Serum Biomarkers. EMBC 2020: 5514-5518 - [c31]Matthew Chaplin, Jacob Grubb, Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta:
Improved Classification of Medical Data Using Meta-Best Feature Selection. EMBC 2020: 5602-5605 - [c30]Sujit Subhash, Tayo Obafemi-Ajayi, Dennis Goodman, Donald C. Wunsch II, Gayla R. Olbricht:
Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics. SSCI 2020: 513-520 - [c29]Thy Nguyen, Jason Viehman, Dacosta Yeboah, Gayla R. Olbricht, Tayo Obafemi-Ajayi:
Statistical Comparative Analysis and Evaluation of Validation Indices for Clustering Optimization. SSCI 2020: 3081-3090
2010 – 2019
- 2019
- [c28]Thomas Clifford, Justin Bruce, Tayo Obafemi-Ajayi, John Matta:
Comparative Analysis of Feature Selection Methods to Identify Biomarkers in a Stroke-Related Dataset. CIBCB 2019: 1-8 - [c27]Jeffrey Dale, Junya Zhao, Tayo Obafemi-Ajayi:
Multi-objective Optimization Approach to find Biclusters in Gene Expression Data. CIBCB 2019: 1-8 - [c26]Junya Zhao, Thy Nguyen, Jonathan Kopel, Perry B. Koob, Donald A. Adieroh, Tayo Obafemi-Ajayi:
Genotype Combinations Linked to Phenotype Subgroups in Autism Spectrum Disorders. CIBCB 2019: 1-8 - [c25]Thy Nguyen, Tayo Obafemi-Ajayi:
Recurrent Network and Multi-arm Bandit Methods for Multi-task Learning without Task Specification. IJCNN 2019: 1-8 - [c24]Emmett Redd, Arthur Steven Younger, Tayo Obafemi-Ajayi:
Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks. IJCNN 2019: 1-8 - [c23]Thy Nguyen, Tayo Obafemi-Ajayi:
Structured Iterative Hard Thresholding for Categorical and Mixed Data Types. SSCI 2019: 2541-2547 - 2018
- [j4]John Matta, Junya Zhao, Gunes Ercal, Tayo Obafemi-Ajayi:
Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes. Appl. Netw. Sci. 3(1): 38:1-38:22 (2018) - [c22]Tanjin Taher Toma, Tayo Obafemi-Ajayi, Jeremy M. Dawson, Donald A. Adjeroh:
Random Subspace Projection for Predicting Biogeographical Ancestry. BIBM 2018: 1719-1725 - [c21]Jeffrey Dale, John Matta, Susanne Howard, Gunes Ercal, Wenping Qiu, Tayo Obafemi-Ajayi:
Analysis of grapevine gene expression data using node-based resilience clustering. CIBCB 2018: 1-8 - [c20]Thy Nguyen, Kerri Nowell, Kimberly E. Bodner, Tayo Obafemi-Ajayi:
Ensemble validation paradigm for intelligent data analysis in autism spectrum disorders. CIBCB 2018: 1-8 - [c19]Jeffrey Dale, America Nishimoto, Tayo Obafemi-Ajayi:
Performance Evaluation and Enhancement of Biclustering Algorithms. ICPRAM 2018: 202-213 - [c18]Thy Nguyen, Arthur Steven Younger, Emmett Redd, Tayo Obafemi-Ajayi:
Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization. IJCNN 2018: 1-8 - 2017
- [c17]Tayo Obafemi-Ajayi, Luke Settles, Yuqing Su, Cynthia Germeroth, Gayla R. Olbricht, Donald C. Wunsch, T. Nicole Takahashi, Judith H. Miles:
Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype. BIBM 2017: 253-257 - [c16]Theresa Odun-Ayo, Tayo Obafemi-Ajayi:
Building the K-12 engineering pipeline: An assessment of where we stand. FIE 2017: 1-9 - [c15]Tayo Obafemi-Ajayi, Khalid Al-Jabery, Lauren E. Salminen, David H. Laidlaw, Ryan P. Cabeen, Donald Wunsch, Robert H. Paul:
Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning. SSCI 2017: 1-9 - 2016
- [c14]Khalid Al-Jabery, Tayo Obafemi-Ajayi, Gayla R. Olbricht, T. Nicole Takahashi, Stephen Kanne, Donald C. Wunsch:
Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes. EMBC 2016: 3329-3333 - [c13]John Matta, Tayo Obafemi-Ajayi, Jeffrey Borwey, Donald C. Wunsch, Gunes Ercal:
Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures. ICDM 2016: 320-329 - 2015
- [c12]Tayo Obafemi-Ajayi, Dao Lam, T. Nicole Takahashi, Stephen Kanne, Donald C. Wunsch:
Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model. CIBCB 2015: 1-7 - [c11]Jeffrey Borwey, Darla Ahlert, Tayo Obafemi-Ajayi, Gunes Ercal:
A Graph-Theoretic Clustering Methodology Based on Vertex-Attack Tolerance. FLAIRS 2015: 404-409 - 2013
- [c10]Tayo Obafemi-Ajayi, Gady Agam:
Goal-oriented evaluation of binarization algorithms for historical document images. DRR 2013: 86580S - 2012
- [j3]Tayo Obafemi-Ajayi, Sanjiv Kapoor, Ophir Frieder:
Cluster-K+: Network topology for searching replicated data in p2p systems. Inf. Process. Manag. 48(5): 841-854 (2012) - [j2]Tayo Obafemi-Ajayi, Gady Agam:
Character-Based Automated Human Perception Quality Assessment in Document Images. IEEE Trans. Syst. Man Cybern. Part A 42(3): 584-595 (2012) - [c9]Tayo Obafemi-Ajayi, Ratchadaporn Kanawong, Dong Xu, Shao Li, Ye Duan:
Features for automated tongue image shape classification. BIBM Workshops 2012: 273-279 - [c8]Ratchadaporn Kanawong, Tayo Obafemi-Ajayi, Jun Yu, Dong Xu, Shao Li, Ye Duan:
ZHENG classification in Traditional Chinese Medicine based on modified specular-free tongue images. BIBM Workshops 2012: 288-294 - [c7]Tayo Obafemi-Ajayi, Gady Agam, Bingqing Xie:
Ensemble methods with simple features for document zone classification. DRR 2012: 829706 - 2011
- [c6]Tayo Obafemi-Ajayi, Gady Agam:
Statistical multi-resolution schemes for historical document binarization. DRR 2011: 78740S - 2010
- [j1]Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder:
Historical document enhancement using LUT classification. Int. J. Document Anal. Recognit. 13(1): 1-17 (2010) - [c5]Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder:
Learning shape features for document enhancement. DRR 2010: 75340F - [c4]Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder:
Evaluation of human perception of degradation in document images. DRR 2010: 75340T
2000 – 2009
- 2009
- [c3]Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder:
Efficient shape-LUT classification for document image restoration. DRR 2009: 72470N - 2008
- [c2]Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder:
Ensemble LUT classification for degraded document enhancement. DRR 2008: 681509 - [c1]Tayo Obafemi-Ajayi, Gady Agam, Ophir Frieder:
Efficient MRF approach to document image enhancement. ICPR 2008: 1-4
Coauthor Index
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last updated on 2024-10-23 20:33 CEST by the dblp team
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