Michael L. Raymer

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 15

Top Topics

Semantic Web Technologies

Biomedical Literature

Trained Neural Networks

Top Venues

Publications

Cara Leigh Widmer, Md. Kamruzzaman Sarker, Srikanth Nadella, Joshua Fiechter, Ion Juvina, Brandon S. Minnery, Pascal Hitzler, Joshua Schwartz, Michael L. Raymer
Towards human-compatible XAI: Explaining data differentials with concept induction over background knowledge. J. Web Semant. 79 (2023)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature. CoRR (2022)
Cara Widmer, Md. Kamruzzaman Sarker, Srikanth Nadella, Joshua Fiechter, Ion Juvina, Brandon S. Minnery, Pascal Hitzler, Joshua Schwartz, Michael L. Raymer
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge. CoRR (2022)
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature. ICPR (2022)
Robin G. C. Maack, Michael L. Raymer, Thomas Wischgoll, Hans Hagen, Christina Gillmann
A framework for uncertainty-aware visual analytics of proteins. Comput. Graph. 98 (2021)
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
A community effort to identify and correct mislabeled samples in proteogenomic studies. Patterns 2 (5) (2021)
Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. IEEE BigData (2020)
Md. Kamruzzaman Sarker, Joshua Schwartz, Pascal Hitzler, Lu Zhou, Srikanth Nadella, Brandon S. Minnery, Ion Juvina, Michael L. Raymer, William R. Aue
Wikipedia Knowledge Graph for Explainable AI. KGSWC (2020)
Amanuel Alambo, Cori Lohstroh, Erik Madaus, Swati Padhee, Brandy Foster, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles. CoRR (2020)
Farahnaz Golrooy Motlagh, Saeedeh Shekarpour, Amit P. Sheth, Krishnaprasad Thirunarayan, Michael L. Raymer
Predicting public opinion on drug legalization: social media analysis and consumption trends. ASONAM (2019)
Hima Bindu Yalamanchili, Soon Jye Kho, Michael L. Raymer
Latent Dirichlet Allocation for Classification using Gene Expression Data. BIBE (2017)
Soon Jye Kho, Hima Bindu Yalamanchili, Michael L. Raymer, Amit P. Sheth
A Novel Approach for Classifying Gene Expression Data using Topic Modeling. BCB (2017)
Ning Xie, Md. Kamruzzaman Sarker, Derek Doran, Pascal Hitzler, Michael L. Raymer
Relating Input Concepts to Convolutional Neural Network Decisions. CoRR (2017)
Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael L. Raymer, Pascal Hitzler
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps. CoRR (2017)
Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael L. Raymer, Pascal Hitzler
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps. NeSy (2017)
David R. Paoletti, Dan E. Krane, Travis E. Doom, Michael L. Raymer
Inferring the Number of Contributors to Mixed DNA Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (1) (2012)
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
A Genetic Optimization Approach for Isolating Translational Efficiency Bias. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (2) (2011)
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
Automated Isolation of Translational Efficiency Bias That Resists the Confounding Effect of GC(AT)-Content. IEEE ACM Trans. Comput. Biol. Bioinform. 7 (2) (2010)
Gina Cooper, Michael L. Raymer
Improving Remote Homology Detection Using Sequence Properties and Position Specific Scoring Matrices. BIOCOMP (2009)
Paul E. Anderson, Michael L. Raymer, Benjamin J. Kelly, Nicholas V. Reo, Nicholas J. DelRaso, Travis E. Doom
H NMR spectroscopic data and the generation of synthetic validation sets. Bioinform. 25 (22) (2009)
Rao M. Kotamarti, Douglas W. Raiford, Michael L. Raymer, Margaret H. Dunham
A Data Mining Approach to Predicting Phylum for Microbial Organisms Using Genome-Wide Sequence Data. BIBE (2009)
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
A Multi-Objective Genetic Algorithm that Employs a Hybrid Approach for Isolating Codon Usage Bias Indicative of Translational Efficiency. BIBE (2007)
Benjamin J. Kelly, Paul E. Anderson, Nicholas V. Reo, Nicholas J. DelRaso, Travis E. Doom, Michael L. Raymer
A Proposed Statistical Protocol for the Analysis of Metabolic Toxicological Data Derived from NMR Spectroscopy. BIBE (2007)
Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer
Isolation and Visualization of Codon Usage Biases. BIBE (2006)
Sridhar Ramachandran, Travis E. Doom, Michael L. Raymer, Dan E. Krane
Parsimony approach to test the Evolving Master Gene hypothesis for human Alu repeats. BIBE (2006)
Michael R. Peterson, Michael L. Raymer, Gary B. Lamont
Balanced accuracy for feature subset selection with genetic algorithms. Congress on Evolutionary Computation (2005)
Michael R. Peterson, Travis E. Doom, Michael L. Raymer
GA-facilitated classifier optimization with varying similarity measures. GECCO (2005)
Michael R. Peterson, Travis E. Doom, Michael L. Raymer
GA-facilitated KNN classifier optimization with varying similarity measures. Congress on Evolutionary Computation (2005)
Michael L. Raymer
Book Review: Evolutionary Computation in Bioinformatics. Genet. Program. Evolvable Mach. 6 (2) (2005)
Paul E. Anderson, Douglas W. Raiford, Deacon J. Sweeney, Travis E. Doom, Michael L. Raymer
Stochastic Model of Protease-Ligand Reactions. BIBE (2005)
Michael R. Peterson, Travis E. Doom, Michael L. Raymer
GA-Facilitated Knowledge Discovery and Pattern Recognition Optimization Applied to the Biochemistry of Protein Solvation. GECCO (1) (2004)
Gregory R. Kramer, John C. Gallagher, Michael L. Raymer
On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants. Evolvable Hardware (2004)
Gina Cooper, Michael L. Raymer, Travis E. Doom, Dan E. Krane, Natsuhiko Futamura
Indexing Genomic Databases. BIBE (2004)
Jason R. Gilder, Dan E. Krane, Travis E. Doom, Michael L. Raymer
Identifying the Patterns in DNA. MAICS (2003)
Travis E. Doom, Michael L. Raymer, Dan E. Krane, Oscar Garcia
Crossing the interdisciplinary barrier: a baccalaureate computer science option in bioinformatics. IEEE Trans. Educ. 46 (3) (2003)
Michael L. Raymer, Travis E. Doom, Leslie A. Kuhn, William F. Punch III
Knowledge discovery in medical and biological datasets using a hybrid Bayes classifier/evolutionary algorithm. IEEE Trans. Syst. Man Cybern. Part B 33 (5) (2003)
Travis E. Doom, Michael L. Raymer, Dan E. Krane, Oscar Garcia
A proposed undergraduate bioinformatics curriculum for computer scientists. SIGCSE (2002)
Michael L. Raymer, Leslie A. Kuhn, William F. Punch III
Knowledge Discovery in Biological Databasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm. BIBE (2001)
Deacon J. Sweeney, Gerald M. Alter, Michael L. Raymer, Travis E. Doom
Profile Combinatorics for Fragment Selection in Comparative Protein Structure Modeling. BIBE (2001)
Jason R. Gilder, Michael L. Raymer, Travis E. Doom
PocketMol: A Molecular Visualization Tool for the PocketPC (short paper). BIBE (2001)
Michael L. Raymer, William F. Punch III, Erik D. Goodman, Leslie A. Kuhn, Anil K. Jain
Dimensionality reduction using genetic algorithms. IEEE Trans. Evol. Comput. 4 (2) (2000)
Michael L. Raymer, William F. Punch III, Erik D. Goodman, Paul C. Sanschagrin, Leslie A. Kuhn
Simultanous Feature Extraction and Selection Using a Genetic Algorithm. ICGA (1997)