Genevera I. Allen
Affiliations:- Rice University, Houston, TX, USA
According to our database1,
Genevera I. Allen
authored at least 51 papers
between 2011 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
SPA-STOCSY: an automated tool for identifying annotated and non-annotated metabolites in high-throughput NMR spectra.
Bioinform., October, 2023
CoRR, 2023
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities.
CoRR, 2023
2022
PLoS Comput. Biol., October, 2022
Inference for Interpretable Machine Learning: Fast, Model-Agnostic Confidence Intervals for Feature Importance.
CoRR, 2022
To the Fairness Frontier and Beyond: Identifying, Quantifying, and Optimizing the Fairness-Accuracy Pareto Frontier.
CoRR, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Experiential Learning in Data Science Through a Novel Client-Facing Consulting Course.
Proceedings of the IEEE Frontiers in Education Conference, 2022
2021
Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data.
J. Mach. Learn. Res., 2021
Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity.
CoRR, 2021
Experiential Learning in Data Science: Developing an Interdisciplinary, Client-Sponsored Capstone Program.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2021
Proceedings of the Artificial Intelligence in Medicine, 2021
2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Correlation Imputation in Single cell RNA-seq using Auxiliary Information and Ensemble Learning.
Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020
2019
Tensor network factorizations: Relationships between brain structural connectomes and traits.
NeuroImage, 2019
Dynamic Visualization and Fast Computation for Convex Clustering via Algorithmic Regularization.
CoRR, 2019
Proceedings of the IEEE Data Science Workshop, 2019
Graphical Models and Dynamic Latent Factors for Modeling Functional Brain Connectivity.
Proceedings of the IEEE Data Science Workshop, 2019
Proceedings of the IEEE Data Science Workshop, 2019
2018
Detecting hidden batch factors through data-adaptive adjustment for biological effects.
Bioinform., 2018
2017
The International Conference on Intelligent Biology and Medicine (ICIBM) 2016: from big data to big analytical tools.
BMC Bioinform., 2017
2016
BMC Syst. Biol., 2016
Bioinform., 2016
2015
Comments on "visualizing statistical models": Visualizing modern statistical methods for Big Data.
Stat. Anal. Data Min., 2015
J. Mach. Learn. Res., 2015
Population Inference for Node Level Differences in Multi-subject Functional Connectivity.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015
2014
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014
2013
Stat. Anal. Data Min., 2013
Randomized Approach to Differential Inference in Multi-subject Functional Connectivity.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Local-Aggregate Modeling for Multi-subject Neuroimage Data via Distributed Optimization.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Proceedings of the 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, 2013
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013
2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
A Log-Linear Graphical Model for inferring genetic networks from high-throughput sequencing data.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2011
Bioinform., 2011