Paul E. Anderson
Orcid: 0000-0002-8408-3944Affiliations:
- College of Charleston, Department of Computer Science, SC, USA
- Wright State University, Department of Computer Science and Engineering, Dayton, OH, USA (PhD 2010)
According to our database1,
Paul E. Anderson
authored at least 24 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023
2022
CoRR, 2022
2021
Reducing variability of breast cancer subtype predictors by grounding deep learning models in prior knowledge.
Comput. Biol. Medicine, 2021
2019
2018
Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning (ECML 2018) and Principles and Practice of Knowledge Discovery in Databases (PKDD 2018), 2018
2017
BMC Medical Informatics Decis. Mak., 2017
Complementary Domain Prioritization: A Method to Improve Biologically Relevant Detection in Multi-Omic Data Sets.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
DEACT: An Online Tool for Analysing Complementary RNA-Seq Studies - A Case Study of Knockdown and Upregulated FLI1 in Breast Cancer Cells.
Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017), 2017
2016
Complementary feature selection from alternative splicing events and gene expression for phenotype prediction.
Bioinform., 2016
Fastfood Elastic Net: Combining Variable Selection with Kernel Expansion Approximations.
Proceedings of the Machine Learning, Optimization, and Big Data, 2016
2015
Facilitating Programming Success in Data Science Courses through Gamified Scaffolding and Learn2Mine.
Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education, 2015
ccKOPLS: Confounder-correcting kernel-based orthogonal projections to latent structures.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014
An undergraduate degree in data science: curriculum and a decade of implementation experience.
Proceedings of the 45th ACM Technical Symposium on Computer Science Education, 2014
An extensible online environment for teaching data science concepts through gamification.
Proceedings of the IEEE Frontiers in Education Conference, 2014
Predictive modeling of lung cancer recurrence using alternative splicing events versus differential expression data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2014
2012
gLIMS: Google cloud-based laboratory information management system for NMR metabolomics.
Proceedings of the ACM International Conference on Bioinformatics, 2012
A next generation sequence processing and analysis platform with integrated cloud-storage and high performance computing resources.
Proceedings of the ACM International Conference on Bioinformatics, 2012
Empirical metabolite identification via GA feature selection and Bayes classification.
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
2009
Characterization of <sup>1</sup>H NMR spectroscopic data and the generation of synthetic validation sets.
Bioinform., 2009
2007
A Proposed Statistical Protocol for the Analysis of Metabolic Toxicological Data Derived from NMR Spectroscopy.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2005
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005