Tayo Obafemi-Ajayi

Orcid: 0000-0002-0155-9733

According to our database1, Tayo Obafemi-Ajayi authored at least 53 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Analyzing Biomedical Datasets with Symbolic Tree Adaptive Resonance Theory.
Inf., March, 2024

When Less Is Not More: Large Language Models Normalize Less-Frequent Terms with Lower Accuracy.
CoRR, 2024

A Simplified Retriever to Improve Accuracy of Phenotype Normalizations by Large Language Models.
CoRR, 2024

High-Throughput Phenotyping of Clinical Text Using Large Language Models.
CoRR, 2024

Enhancing Dimension-Reduced Scatter Plots with Class and Feature Centroids.
CoRR, 2024

Multiple Imputation for Robust Cluster Analysis to Address Missingness in Medical Data.
IEEE Access, 2024

Evaluation of Transfer Learning Models on Traumatic Brain Injury Severity Classification.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

Towards Explainability of Dimension Reduction Plots of Unsupervised Learning Model Outcomes.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2024

2023
An Explainable Deep Learning Model for Prediction of Severity of Alzheimer's Disease.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022
Heterogeneity in Blood Biomarker Trajectories After Mild TBI Revealed by Unsupervised Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine.
AI Ethics, 2022

Team building without boundaries.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

NBT (no-boundary thinking): needed to attend to ethical implications of data and AI.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
Noise Quality and Super-Turing Computation in Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

A PheWAS Model of Autism Spectrum Disorder.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

A deep learning model to predict traumatic brain injury severity and outcome from MR images.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

2020
An Explainable and Statistically Validated Ensemble Clustering Model Applied to the Identification of Traumatic Brain Injury Subgroups.
IEEE Access, 2020

Predictive Modeling of Sports-Related Concussions using Clinical Assessment Metrics.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Statistical Comparative Analysis and Evaluation of Validation Indices for Clustering Optimization.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Exploratory Analysis of Concussion Recovery Trajectories using Multi-modal Assessments and Serum Biomarkers.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Improved Classification of Medical Data Using Meta-Best Feature Selection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Structured Iterative Hard Thresholding for Categorical and Mixed Data Types.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Stochastic Resonance Enables BPP/log* Complexity and Universal Approximation in Analog Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

Recurrent Network and Multi-arm Bandit Methods for Multi-task Learning without Task Specification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Genotype Combinations Linked to Phenotype Subgroups in Autism Spectrum Disorders.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

Multi-objective Optimization Approach to find Biclusters in Gene Expression Data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

Comparative Analysis of Feature Selection Methods to Identify Biomarkers in a Stroke-Related Dataset.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019

2018
Applications of node-based resilience graph theoretic framework to clustering autism spectrum disorders phenotypes.
Appl. Netw. Sci., 2018

Meta-Learning Related Tasks with Recurrent Networks: Optimization and Generalization.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Performance Evaluation and Enhancement of Biclustering Algorithms.
Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Ensemble validation paradigm for intelligent data analysis in autism spectrum disorders.
Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2018

Analysis of grapevine gene expression data using node-based resilience clustering.
Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2018

Random Subspace Projection for Predicting Biogeographical Ancestry.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Neuroimaging biomarkers of cognitive decline in healthy older adults via unified learning.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Building the K-12 engineering pipeline: An assessment of where we stand.
Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

Genetic variant analysis of boys with Autism: A pilot study on linking facial phenotype to genotype.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Robust Graph-Theoretic Clustering Approaches Using Node-Based Resilience Measures.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
A Graph-Theoretic Clustering Methodology Based on Vertex-Attack Tolerance.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

Sorting the phenotypic heterogeneity of autism spectrum disorders: A hierarchical clustering model.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2013
Goal-oriented evaluation of binarization algorithms for historical document images.
Proceedings of the Document Recognition and Retrieval XX, 2013

2012
Character-Based Automated Human Perception Quality Assessment in Document Images.
IEEE Trans. Syst. Man Cybern. Part A, 2012

Cluster-K<sup>+</sup>: Network topology for searching replicated data in p2p systems.
Inf. Process. Manag., 2012

Ensemble methods with simple features for document zone classification.
Proceedings of the Document Recognition and Retrieval XIX, 2012

Features for automated tongue image shape classification.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

ZHENG classification in Traditional Chinese Medicine based on modified specular-free tongue images.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
Statistical multi-resolution schemes for historical document binarization.
Proceedings of the Document Recognition and Retrieval XVIII, 2011

2010
Historical document enhancement using LUT classification.
Int. J. Document Anal. Recognit., 2010

Evaluation of human perception of degradation in document images.
Proceedings of the Document Recognition and Retrieval XVII, 2010

Learning shape features for document enhancement.
Proceedings of the Document Recognition and Retrieval XVII, 2010

2009
Efficient shape-LUT classification for document image restoration.
Proceedings of the Document Recognition and Retrieval XVI, 2009

2008
Efficient MRF approach to document image enhancement.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Ensemble LUT classification for degraded document enhancement.
Proceedings of the Document Recognition and Retrieval XV, 2008


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