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Journal Articles
- 2023
[j11]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: 100807 (2023)- 2021
- [j10]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: 293-305 (2021) - [j9]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): 100245 (2021) - 2012
- [j8]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): 113-122 (2012) - 2011
- [j7]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): 342-352 (2011) - 2010
- [j6]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): 238-250 (2010) - 2009
- [j5]Paul E. Anderson, Michael L. Raymer, Benjamin J. Kelly, Nicholas V. Reo, Nicholas J. DelRaso, Travis E. Doom:
Characterization of 1H NMR spectroscopic data and the generation of synthetic validation sets. Bioinform. 25(22): 2992-3000 (2009) - 2005
- [j4]Michael L. Raymer:
Book Review: Evolutionary Computation in Bioinformatics. Genet. Program. Evolvable Mach. 6(2): 229-230 (2005) - 2003
- [j3]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): 387-393 (2003) - [j2]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): 802-813 (2003) - 2000
- [j1]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): 164-171 (2000)
Conference and Workshop Papers
- 2024
- [c28]Benjamin Holmes, Michael L. Raymer, Tanvi Banerjee:
Extraction of patients subpopulations with psychiatric symptoms using a transformer architecture. EMBC 2024: 1-4 - [c27]Douglas Townsell, Tanvi Banerjee, Lingwei Chen, Michael L. Raymer:
Advancing Chest X-ray Diagnostics via Multi-Modal Neural Networks with Attention. EMBC 2024: 1-4 - 2022
- [c26]Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer:
Entity-Driven Fact-Aware Abstractive Summarization of Biomedical Literature. ICPR 2022: 613-620 - 2020
- [c25]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: 591-596 - [c24]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: 72-87 - 2019
- [c23]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: 952-961 - 2017
- [c22]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: 388-393 - [c21]Hima Bindu Yalamanchili, Soon Jye Kho, Michael L. Raymer:
Latent Dirichlet Allocation for Classification using Gene Expression Data. BIBE 2017: 39-44 - [c20]Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael L. Raymer, Pascal Hitzler:
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps. NeSy 2017 - 2009
- [c19]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: 161-167 - [c18]Gina Cooper, Michael L. Raymer:
Improving Remote Homology Detection Using Sequence Properties and Position Specific Scoring Matrices. BIOCOMP 2009: 103-108 - 2007
- [c17]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: 278-285 - [c16]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: 1414-1418 - 2006
- [c15]Douglas W. Raiford, Dan E. Krane, Travis E. Doom, Michael L. Raymer:
Isolation and Visualization of Codon Usage Biases. BIBE 2006: 179-183 - [c14]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: 213-219 - 2005
- [c13]Paul E. Anderson, Douglas W. Raiford, Deacon J. Sweeney, Travis E. Doom, Michael L. Raymer:
Stochastic Model of Protease-Ligand Reactions. BIBE 2005: 306-310 - [c12]Michael R. Peterson, Michael L. Raymer, Gary B. Lamont:
Balanced accuracy for feature subset selection with genetic algorithms. Congress on Evolutionary Computation 2005: 2506-2513 - [c11]Michael R. Peterson, Travis E. Doom, Michael L. Raymer:
GA-facilitated KNN classifier optimization with varying similarity measures. Congress on Evolutionary Computation 2005: 2514-2521 - [c10]Michael R. Peterson, Travis E. Doom, Michael L. Raymer:
GA-facilitated classifier optimization with varying similarity measures. GECCO 2005: 1549-1550 - 2004
- [c9]Gina Cooper, Michael L. Raymer, Travis E. Doom, Dan E. Krane, Natsuhiko Futamura:
Indexing Genomic Databases. BIBE 2004: 587-591 - [c8]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: 225-230 - [c7]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: 426-437 - 2003
- [c6]Jason R. Gilder, Dan E. Krane, Travis E. Doom, Michael L. Raymer:
Identifying the Patterns in DNA. MAICS 2003: 31-35 - 2002
- [c5]Travis E. Doom, Michael L. Raymer, Dan E. Krane, Oscar Garcia:
A proposed undergraduate bioinformatics curriculum for computer scientists. SIGCSE 2002: 78-81 - 2001
- [c4]Jason R. Gilder, Michael L. Raymer, Travis E. Doom:
PocketMol: A Molecular Visualization Tool for the PocketPC (short paper). BIBE 2001: 11-14 - [c3]Michael L. Raymer, Leslie A. Kuhn, William F. Punch III:
Knowledge Discovery in Biological Databasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm. BIBE 2001: 236-245 - [c2]Deacon J. Sweeney, Gerald M. Alter, Michael L. Raymer, Travis E. Doom:
Profile Combinatorics for Fragment Selection in Comparative Protein Structure Modeling. BIBE 2001: 271-278 - 1997
- [c1]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: 561-567
Informal and Other Publications
- 2022
- [i5]Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan, Michael L. Raymer:
Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature. CoRR abs/2203.15959 (2022) - [i4]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. CoRR abs/2209.13710 (2022) - 2020
- [i3]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 abs/2011.08072 (2020) - 2017
- [i2]Md. Kamruzzaman Sarker, Ning Xie, Derek Doran, Michael L. Raymer, Pascal Hitzler:
Explaining Trained Neural Networks with Semantic Web Technologies: First Steps. CoRR abs/1710.04324 (2017) - [i1]Ning Xie, Md. Kamruzzaman Sarker, Derek Doran, Pascal Hitzler, Michael L. Raymer:
Relating Input Concepts to Convolutional Neural Network Decisions. CoRR abs/1711.08006 (2017)
Coauthor Index
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