Automatic loudspeaker directivity control for sound field reconstruction. - Gail Rosen; Jim Johnston (ICASSP, 2002)

Investigation of coding structure in DNA. - Gail L. Rosen; Jeffrey D. Moore (ICASSP (2), 2003)

Chemical Source Localization in Unknown Turbulence Using the Cross-Correlation Method. - Gail L. Rosen; Paul E. Hasler (ICASSP (3), 2006)

Validating models of bacterial chemotaxis by simulating the random motility coefficient. - Zhiyu Wang; MinJun Kim 001; Gail Rosen (BIBE, 2008)

Metagenome Fragment Classification Using N-Mer Frequency Profiles. - Gail L. Rosen; Elaine Garbarine; Diamantino Caseiro; Robi Polikar; Bahrad A. Sokhansanj (Adv. Bioinformatics, 2008)

Implementation of a Hebbian chemoreceptor model for diffusive source localization. - Gail Rosen; Paul E. Hasler; Mark T. Smith (Biosyst., 2009)

The Effect of Sequence Error and Partial Training Data on BLAST Accuracy. - Steven D. Essinger; Gail L. Rosen (BIBE, 2010)

Comparison of Gene Prediction Programs for Metagenomic Data. - Non Yok; Gail Rosen (BIBE, 2010)

Probabilistic topic modeling for genomic data interpretation. - Xin Chen 041; Xiaohua Hu 001; Xiajiong Shen; Gail Rosen (BIBM, 2010)

A probabilistic topic-connection model for automatic image annotation. - Xin Chen 041; Xiaohua Hu 001; Zhongna Zhou; Caimei Lu; Gail Rosen; Tingting He 003; E. K. Park (CIKM, 2010)

Neural network-based taxonomic clustering for metagenomics. - Steven D. Essinger; Robi Polikar; Gail L. Rosen (IJCNN, 2010)

Benchmarking BLAST Accuracy of Genus/Phyla Classification of Metagenomic Reads. - Steven D. Essinger; Gail L. Rosen (Pacific Symposium on Biocomputing, 2010)

Ordering samples along environmental gradients using particle swarm optimization. - Steven D. Essinger; Robi Polikar; Gail Rosen (EMBC, 2011)

NBC: the Naïve Bayes Classification tool webserver for taxonomic classification of metagenomic reads. - Gail L. Rosen; Erin R. Reichenberger; Aaron M. Rosenfeld (Bioinform., 2011)

Combining gene prediction methods to improve metagenomic gene annotation. - Non G. Yok; Gail L. Rosen (BMC Bioinform., 2011)

Information-theoretic approaches to SVM feature selection for metagenome read classification. - Elaine Garbarine; Joseph DePasquale; Vinay Gadia; Robi Polikar; Gail L. Rosen (Comput. Biol. Chem., 2011)

Information theoretic feature selection for high dimensional metagenomic data. - Gregory Ditzler; Gail Rosen; Robi Polikar (GENSiPS, 2012)

Forensic identification with environmental samples. - Gregory Ditzler; Gail Rosen; Robi Polikar (ICASSP, 2012)

Transductive learning algorithms for nonstationary environments. - Gregory Ditzler; Gail L. Rosen; Robi Polikar (IJCNN, 2012)

Inquiry-Based Learning Through Image Processing [dsp Education]. - Gail L. Rosen; Jason Silverman; Steven D. Essinger (IEEE Signal Process. Mag., 2012)

Exploiting the Functional and Taxonomic Structure of Genomic Data by Probabilistic Topic Modeling. - Xin Chen 041; Xiaohua Hu 001; Tze Yee Lim; Xiajiong Shen; E. K. Park; Gail L. Rosen (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Discounted expert weighting for concept drift. - Gregory Ditzler; Gail Rosen; Robi Polikar (CIDUE, 2013)

Incremental learning of new classes from unbalanced data. - Gregory Ditzler; Gail Rosen; Robi Polikar (IJCNN, 2013)

Quikr: a method for rapid reconstruction of bacterial communities via compressive sensing. - David Koslicki; Simon Foucart; Gail Rosen (Bioinform., 2013)

Feature subset selection for inferring relative importance of taxonomy. - Gregory Ditzler; Gail L. Rosen (BCB, 2014)

Scaling a neyman-pearson subset selection approach via heuristics for mining massive data. - Gregory Ditzler; Matthew Austen; Gail L. Rosen; Robi Polikar (CIDM, 2014)

Domain adaptation bounds for multiple expert systems under concept drift. - Gregory Ditzler; Gail L. Rosen; Robi Polikar (IJCNN, 2014)

Characterizing the Empirical Distribution of Prokaryotic Genome n-mers in the Presence of Nullomers. - Loni Philip Tabb; Wei Zhao 016; Jingyu Huang; Gail L. Rosen (J. Comput. Biol., 2014)

POGO-DB - a database of pairwise-comparisons of genomes and conserved orthologous genes. - Yemin Lan; J. Calvin Morrison; Ruth Hershberg; Gail L. Rosen (Nucleic Acids Res., 2014)

Fizzy: feature subset selection for metagenomics. - Gregory Ditzler; J. Calvin Morrison; Yemin Lan; Gail Rosen (BMC Bioinform., 2015)

A Bootstrap Based Neyman-Pearson Test for Identifying Variable Importance. - Gregory Ditzler; Robi Polikar; Gail Rosen (IEEE Trans. Neural Networks Learn. Syst., 2015)

Incremental Author Name Disambiguation for Scientific Citation Data. - Zhengqiao Zhao; Jason Rollins; Linge Bai; Gail Rosen (DSAA, 2017)

Extensions to Online Feature Selection Using Bagging and Boosting. - Gregory Ditzler; Joseph LaBarck; James Ritchie; Gail Rosen; Robi Polikar (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Sequential Learning Approach for Scaling Up Filter-Based Feature Subset Selection. - Gregory Ditzler; Robi Polikar; Gail Rosen (IEEE Trans. Neural Networks Learn. Syst., 2018)

Workshop on Microbiomics, Metagenomics, and Metabolomics. - Soha Hassoun; Yasser El-Manzalawy; Georg Gerber; David Koslicki; Gail Rosen (BCB, 2019)

16S rRNA sequence embeddings: Meaningful numeric feature representations of nucleotide sequences that are convenient for downstream analyses. - Stephen Woloszynek; Zhengqiao Zhao; Jian Chen 043; Gail L. Rosen (PLoS Comput. Biol., 2019)

Spatiotemporal Tracking of SARS-CoV-2 Variants using informative subtype markers and association graphs. - Ananya Sen Gupta; Zhengqiao Zhao; Gail Rosen (ACSSC, 2020)

Visualizing and Annotating Protein Sequences using A Deep Neural Network. - Zhengqiao Zhao; Gail Rosen (ACSSC, 2020)

Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life. - Zhengqiao Zhao; Alexandru Cristian; Gail Rosen (BMC Bioinform., 2020)

Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization. - Zhengqiao Zhao; Bahrad A. Sokhansanj; Charvi Malhotra; Kitty Zheng; Gail L. Rosen (PLoS Comput. Biol., 2020)

Incremental & Semi-Supervised Learning for Functional Analysis of Protein Sequences. - Mali Halac; Bahrad A. Sokhansanj; William L. Trimble; Thomas Coard; Norman C. Sabin; Emrecan Ozdogan; Robi Polikar; Gail L. Rosen (SSCI, 2021)

Incremental and Semi-Supervised Learning of 16S-rRNA Genes For Taxonomic Classification. - Emrecan Ozdogan; Norman C. Sabin; Thomas Gracie; Steven Portley; Mali Halac; Thomas Coard; William L. Trimble; Bahrad A. Sokhansanj; Gail Rosen; Robi Polikar (SSCI, 2021)

Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network. - Zhengqiao Zhao; Stephen Woloszynek; Felix Agbavor; Joshua Chang Mell; Bahrad A. Sokhansanj; Gail L. Rosen (PLoS Comput. Biol., 2021)

Semi-supervised and Incremental VSEARCH for Metagenomic Classification. - Emrecan Ozdogan; Adriana Fasino; Rachel Nguyen; Bahrad A. Sokhansanj; Gail Rosen; Robi Polikar (SSCI, 2022)

MetaMutationalSigs: comparison of mutational signature refitting results made easy. - Palash Pandey; Sanjeevani Arora; Gail L. Rosen (Bioinform., 2022)

Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning. - Bahrad A. Sokhansanj; Gail L. Rosen (Comput. Biol. Medicine, 2022)

Semi-Supervised and Incremental Sequence Analysis for Taxonomic Classification. - Adriana Fasino; Emrecan Ozdogan; Bahrad A. Sokhansanj; Gail Rosen; Robi Polikar (SSCI, 2023)

Normalized Compression Distance for DNA Classification. - Gavin L. A. Hearne; Mohammad S. Refahi; Haozhe Neil Duan; James R. Brown; Gail L. Rosen (BCB, 2024)

Predicting Anti-microbial Resistance using Large Language Models. - Hyunwoo Yoo; Bahrad A. Sokhansanj; James R. Brown; Gail Rosen (CoRR, 2024)

Streamlining Computational Fragment-Based Drug Discovery through Evolutionary Optimization Informed by Ligand-Based Virtual Prescreening. - Rohan Chandraghatgi; Hai-Feng Ji; Gail L. Rosen; Bahrad A. Sokhansanj (J. Chem. Inf. Model., 2024)

Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis. - Mohammad S. Refahi; Mahdi Abavisani; Bahrad A. Sokhansanj; James R. Brown; Gail Rosen (CoRR, 2025)

Fast and Scalable Gene Embedding Search: A Comparative Study of FAISS and ScaNN. - Mohammad S. Refahi; Gavin L. A. Hearne; Harrison Muller; Kieran Lynch; Bahrad A. Sokhansanj; James R. Brown; Gail Rosen (CoRR, 2025)

Predicting Microbial Ontology and Pathogen Risk from Environmental Metadata with Large Language Models. - Hyunwoo Yoo; Gail L. Rosen (CoRR, 2025)