Michael L. Raymer

44 papers A 2B 4C 12Journal 16Unranked 10
YearRankTypeTitle / Venue / Authors
2024 — conf
Advancing Chest X-ray Diagnostics via Multi-Modal Neural Networks with Attention.
EMBC
Douglas J. Townsell, Tanvi Banerjee, Lingwei Chen, Michael L. Raymer
2024 — conf
Extraction of patients subpopulations with psychiatric symptoms using a transformer architecture.
EMBC
Benjamin Holmes, Michael L. Raymer, Tanvi Banerjee
2023 J jnl
Towards human-compatible XAI: Explaining data differentials with concept induction over background knowledge.
J. Web Semant.
Cara Leigh Widmer, Md. Kamruzzaman Sarker, Srikanth Nadella, Joshua Fiechter, Ion Juvina, Brandon S. Minnery, Pascal Hitzler, Joshua Schwartz, Michael L. Raymer
2022 B conf
Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature.
ICPR
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
2022 J jnl
Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature.
CoRR
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
2022 J jnl
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge.
CoRR
Cara Leigh Widmer, Md. Kamruzzaman Sarker, Srikanth Nadella, Joshua Fiechter, Ion Juvina, Brandon S. Minnery, Pascal Hitzler, Joshua Schwartz, Michael L. Raymer
2021 J jnl
A community effort to identify and correct mislabeled samples in proteogenomic studies.
Patterns
Seungyeul Yoo, Zhiao Shi, Bo Wen, Soon Jye Kho, Renke Pan, Hanying Feng, Hong Chen, Anders Carlsson, Patrik Edén, Weiping Ma, Michael L. Raymer, Ezekiel J. Maier, Zivana Tezak, Elaine Johanson, Denise Hinton, Henry Rodriguez, Jun Zhu, Emily Boja, Pei Wang, Bing Zhang
2021 J jnl
A framework for uncertainty-aware visual analytics of proteins.
Comput. Graph.
Robin G. C. Maack, Michael L. Raymer, Thomas Wischgoll, Hans Hagen, Christina Gillmann
2020 — conf
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles.
IEEE BigData
Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
2020 J jnl
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles.
CoRR
Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
2020 — conf
Wikipedia Knowledge Graph for Explainable AI.
KGSWC
Md. Kamruzzaman Sarker, Joshua Schwartz, Pascal Hitzler, Lu Zhou, Srikanth Nadella, Brandon S. Minnery, Ion Juvina, Michael L. Raymer, William R. Aue
2019 B conf
Predicting public opinion on drug legalization: social media analysis and consumption trends.
ASONAM
Farahnaz Golrooy Motlagh, Saeedeh Shekarpour, Amit P. Sheth, Krishnaprasad Thirunarayan, Michael L. Raymer
2017 — conf
A Novel Approach for Classifying Gene Expression Data using Topic Modeling.
BCB
Soon Jye Kho, Hima Bindu Yalamanchili, Michael L. Raymer, Amit P. Sheth
2017 C conf
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps.
NeSy
Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael L. Raymer, Pascal Hitzler
2017 J jnl
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps.
CoRR
Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael L. Raymer, Pascal Hitzler
2017 C conf
Latent Dirichlet Allocation for Classification using Gene Expression Data.
BIBE
Hima Bindu Yalamanchili, Soon Jye Kho, Michael L. Raymer
2017 J jnl
Relating Input Concepts to Convolutional Neural Network Decisions.
CoRR
Ning Xie, Md. Kamruzzaman Sarker, Derek Doran, Pascal Hitzler, Michael L. Raymer
2012 J jnl
Inferring the Number of Contributors to Mixed DNA Profiles.
IEEE ACM Trans. Comput. Biol. Bioinform.
David R. Paoletti, Dan E. Krane, Travis E. Doom, Michael L. Raymer
2011 J jnl
A Genetic Optimization Approach for Isolating Translational Efficiency Bias.
IEEE ACM Trans. Comput. Biol. Bioinform.
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
2010 J jnl
Automated Isolation of Translational Efficiency Bias That Resists the Confounding Effect of GC(AT)-Content.
IEEE ACM Trans. Comput. Biol. Bioinform.
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
2009 C conf
A Data Mining Approach to Predicting Phylum for Microbial Organisms Using Genome-Wide Sequence Data.
BIBE
Rao M. Kotamarti, Douglas W. Raiford, Michael L. Raymer, Margaret H. Dunham
2009 J jnl
Characterization of
Bioinform.
Paul E. Anderson, Michael L. Raymer, Benjamin J. Kelly, Nicholas V. Reo, Nicholas J. DelRaso, Travis E. Doom
2009 — conf
Improving Remote Homology Detection Using Sequence Properties and Position Specific Scoring Matrices.
BIOCOMP
Gina Cooper, Michael L. Raymer
2007 C conf
A Multi-Objective Genetic Algorithm that Employs a Hybrid Approach for Isolating Codon Usage Bias Indicative of Translational Efficiency.
BIBE
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
2007 C conf
A Proposed Statistical Protocol for the Analysis of Metabolic Toxicological Data Derived from NMR Spectroscopy.
BIBE
Benjamin J. Kelly, Paul E. Anderson, Nicholas V. Reo, Nicholas J. DelRaso, Travis E. Doom, Michael L. Raymer
2006 C conf
Isolation and Visualization of Codon Usage Biases.
BIBE
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
2006 C conf
Parsimony approach to test the Evolving Master Gene hypothesis for human Alu repeats.
BIBE
Sridhar Ramachandran, Travis E. Doom, Michael L. Raymer, Dan E. Krane
2005 B conf
Balanced accuracy for feature subset selection with genetic algorithms.
Congress on Evolutionary Computation
Michael R. Peterson, Michael L. Raymer, Gary B. Lamont
2005 J jnl
Book Review: Evolutionary Computation in Bioinformatics.
Genet. Program. Evolvable Mach.
Michael L. Raymer
2005 B conf
GA-facilitated KNN classifier optimization with varying similarity measures.
Congress on Evolutionary Computation
Michael R. Peterson, Travis E. Doom, Michael L. Raymer
2005 A conf
GA-facilitated classifier optimization with varying similarity measures.
GECCO
Michael R. Peterson, Travis E. Doom, Michael L. Raymer
2005 C conf
Stochastic Model of Protease-Ligand Reactions.
BIBE
Paul E. Anderson, Douglas W. Raiford, Deacon J. Sweeney, Travis E. Doom, Michael L. Raymer
2004 — conf
GA-Facilitated Knowledge Discovery and Pattern Recognition Optimization Applied to the Biochemistry of Protein Solvation.
GECCO (1)
Michael R. Peterson, Travis E. Doom, Michael L. Raymer
2004 C conf
Indexing Genomic Databases.
BIBE
Gina Cooper, Michael L. Raymer, Travis E. Doom, Dan E. Krane, Natsuhiko Futamura
2004 — conf
On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants.
Evolvable Hardware
Gregory R. Kramer, John C. Gallagher, Michael L. Raymer
2003 J jnl
Crossing the interdisciplinary barrier: a baccalaureate computer science option in bioinformatics.
IEEE Trans. Educ.
Travis E. Doom, Michael L. Raymer, Dan E. Krane, Oscar Garcia
2003 — conf
Identifying the Patterns in DNA.
MAICS
Jason R. Gilder, Dan E. Krane, Travis E. Doom, Michael L. Raymer
2003 J jnl
Knowledge discovery in medical and biological datasets using a hybrid Bayes classifier/evolutionary algorithm.
IEEE Trans. Syst. Man Cybern. Part B
Michael L. Raymer, Travis E. Doom, Leslie A. Kuhn, William F. Punch III
2002 A conf
A proposed undergraduate bioinformatics curriculum for computer scientists.
SIGCSE
Travis E. Doom, Michael L. Raymer, Dan E. Krane, Oscar Garcia
2001 C conf
Knowledge Discovery in Biological Databasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm.
BIBE
Michael L. Raymer, Leslie A. Kuhn, William F. Punch III
2001 C conf
PocketMol: A Molecular Visualization Tool for the PocketPC (short paper).
BIBE
Jason R. Gilder, Michael L. Raymer, Travis E. Doom
2001 C conf
Profile Combinatorics for Fragment Selection in Comparative Protein Structure Modeling.
BIBE
Deacon J. Sweeney, Gerald M. Alter, Michael L. Raymer, Travis E. Doom
2000 J jnl
Dimensionality reduction using genetic algorithms.
IEEE Trans. Evol. Comput.
Michael L. Raymer, William F. Punch III, Erik D. Goodman, Leslie A. Kuhn, Anil K. Jain
1997 — conf
Simultanous Feature Extraction and Selection Using a Genetic Algorithm.
ICGA
Michael L. Raymer, William F. Punch III, Erik D. Goodman, Paul C. Sanschagrin, Leslie A. Kuhn