Gail L. Rosen

Orcid: 0000-0003-1763-5750

According to our database1, Gail L. Rosen authored at least 48 papers between 2002 and 2024.

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

Timeline

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Bibliography

2024
Predicting Anti-microbial Resistance using Large Language Models.
CoRR, 2024

2023
Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning.
Comput. Biol. Medicine, 2022

MetaMutationalSigs: comparison of mutational signature refitting results made easy.
Bioinform., 2022

Semi-supervised and Incremental VSEARCH for Metagenomic Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021
Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network.
PLoS Comput. Biol., 2021

Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020
Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization.
PLoS Comput. Biol., 2020

Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life.
BMC Bioinform., 2020

Visualizing and Annotating Protein Sequences using A Deep Neural Network.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Spatiotemporal Tracking of SARS-CoV-2 Variants using informative subtype markers and association graphs.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses.
PLoS Comput. Biol., 2019

Workshop on Microbiomics, Metagenomics, and Metabolomics.
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019

2018
A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection.
IEEE Trans. Neural Networks Learn. Syst., 2018

Extensions to Online Feature Selection Using Bagging and Boosting.
IEEE Trans. Neural Networks Learn. Syst., 2018

2017
Incremental Author Name Disambiguation for Scientific Citation Data.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2015
A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance.
IEEE Trans. Neural Networks Learn. Syst., 2015

Fizzy: feature subset selection for metagenomics.
BMC Bioinform., 2015

2014
POGO-DB - a database of pairwise-comparisons of genomes and conserved orthologous genes.
Nucleic Acids Res., 2014

Characterizing the Empirical Distribution of Prokaryotic Genome <i>n</i>-mers in the Presence of Nullomers.
J. Comput. Biol., 2014

Domain adaptation bounds for multiple expert systems under concept drift.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Scaling a neyman-pearson subset selection approach via heuristics for mining massive data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Feature subset selection for inferring relative importance of taxonomy.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
Quikr: a method for rapid reconstruction of bacterial communities via compressive sensing.
Bioinform., 2013

Incremental learning of new classes from unbalanced data.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Discounted expert weighting for concept drift.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2013

2012
Exploiting the Functional and Taxonomic Structure of Genomic Data by Probabilistic Topic Modeling.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

Inquiry-Based Learning Through Image Processing [dsp Education].
IEEE Signal Process. Mag., 2012

Transductive learning algorithms for nonstationary environments.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Forensic identification with environmental samples.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Information theoretic feature selection for high dimensional metagenomic data.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

2011
Information-theoretic approaches to SVM feature selection for metagenome read classification.
Comput. Biol. Chem., 2011

Combining gene prediction methods to improve metagenomic gene annotation.
BMC Bioinform., 2011

NBC: the Naïve Bayes Classification tool webserver for taxonomic classification of metagenomic reads.
Bioinform., 2011

Ordering samples along environmental gradients using particle swarm optimization.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Benchmarking BLAST Accuracy of Genus/Phyla Classification of Metagenomic Reads.
Proceedings of the Biocomputing 2010: Proceedings of the Pacific Symposium, 2010

Neural network-based taxonomic clustering for metagenomics.
Proceedings of the International Joint Conference on Neural Networks, 2010

A probabilistic topic-connection model for automatic image annotation.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Probabilistic topic modeling for genomic data interpretation.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

Comparison of Gene Prediction Programs for Metagenomic Data.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

The Effect of Sequence Error and Partial Training Data on BLAST Accuracy.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
Implementation of a Hebbian chemoreceptor model for diffusive source localization.
Biosyst., 2009

2008
Metagenome Fragment Classification Using N-Mer Frequency Profiles.
Adv. Bioinformatics, 2008

Validating models of bacterial chemotaxis by simulating the random motility coefficient.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2006
Chemical Source Localization in Unknown Turbulence Using the Cross-Correlation Method.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2003
Investigation of coding structure in DNA.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Automatic loudspeaker directivity control for sound field reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2002


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