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Lori Dalton

  • Assistant Professor, SBS-Biomedical Informatics
  • Assistant Professor, Electrical & Computer Engr.
  • 664 Dreese Laboratories
    2015 Neil Ave
    Columbus, OH 43210
  • 614-292-4594

About

Education

PhD, Texas A&M University, 2012

Areas of interest

Genomic signal processing, pattern recognition, estimation, optimization, robust filtering, information theory and systems biology

Office

664 Dreese Laboratories

Honors

  • 2015

    CAREER Award. .

  • 2011

    Second Place Top Oral Presentation by Students. .

  • 2010

    P.E.O. Scholar Award. .

  • 2007

    Whitaker Departmental Fellowship. .

  • 2003

    Association of Former Students Distinguished Graduate Student Masters Research Award. .

  • 2003

    AFCEA Fellowship. .

  • 2001

    Fouraker Graduate Fellowship and Departmental Scholarship. .

  • 2001

    NSF Graduate Research Fellowship. .

Chapters

2015

  • Dalton, LA, Dougherty, ER. 2015. "Small-Sample Classification." In Information Science for Materials Discovery and Design, edited by Lookman, T, Alexander, FJ, Rajan, K, 77 - 101. Switzerland: Springer International Publishing.

Journal Articles

2017

  • Dehghannasiri, R, Xue, D, Balachandran, PV, Yousefi, MR, Dalton, LA, Lookman, T, Dougherty, ER, 2017, "Optimal Experimental Design for Materials Discovery." Computational Materials Science 129, 311 - 322.

2016

  • Dalton, LA, Yousefi, MR, 2016, "Data Requirements for Model-Based Cancer Prognosis Prediction.." Cancer informatics 2015:Suppl. 5, 123 - 138.
  • Dalton, LA, 2016, "Optimal ROC-based Classification and Performance Analysis under Bayesian Uncertainty Models." IEEE/ACM Transactions on Computational Biology and Bioinformatics 13, no. 4, 719 - 729.

2015

  • Yousefi, MR, Dalton, LA, 2015, "Optimal Cancer Prognosis under Network Uncertainty." EURASIP Journal on Bioinformatics and Systems Biology 2015, no. 1, 15 pages -
  • Dalton, LA, Benalcazar, ME, Brun, M, Dougherty, ER, 2015, "Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes." IEEE Transactions on Signal Processing 63, no. 6, 1605 - 1620.
  • Dalton, LA, Yousefi, MR, 2015, "On Optimal Bayesian Classification and Risk Estimation Under Multiple Classes." EURASIP Journal on Bioinformatics and Systems Biology 2015, no. 8, 23 pages -

2014

  • Dalton, LA, Dougherty, ER, 2014, "Intrinsically Optimal Bayesian Robust Filtering." IEEE Transactions on Signal Processing 62, no. 3, 657 - 670.

2013

  • Dougherty, ER, Dalton, LA, 2013, "Scientific Knowledge is Possible with Small-sample Classification." EURASIP Journal on Bioinformatics and Systems Biology 2013, no. 10, 12 pages -
  • Dalton, LA, Dougherty, ER, 2013, "Optimal Classifiers with Minimum Expected Error within a Bayesian Framework–Part I: Discrete and Gaussian Models." Pattern Recognition 46, no. 5, 1301–1314 -
  • Dalton, LA, Dougherty, ER, 2013, "Optimal Classifiers with Minimum Expected Error within a Bayesian Framework–Part II: Properties and Performance Analysis." Pattern Recognition 46, no. 5, 1288–1300 -

2012

  • Dalton, LA, Dougherty, ER, 2012, "Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error-Part I: Representation." IEEE Transactions on Signal Processing 60, no. 5, 2575 - 2587.
  • Dalton, LA, Dougherty, ER, 2012, "Optimal Mean-Square-Error Calibration of Classifier Error Estimators under Bayesian Models." Pattern Recognition 45, no. 6, 2308 - 2320.
  • Dalton, LA, Dougherty, ER, 2012, "Exact Sample Conditioned MSE Performance of the Bayesian MMSE Estimator for Classification Error-Part II: Consistency and Performance Analysis." IEEE Transactions on Signal Processing 60, no. 5, 2588 - 2603.

2011

  • Dalton, LA, Dougherty, ER, 2011, "Bayesian Minimum Mean-Square Error Estimation for Classification Error-Part II: Linear Classification of Gaussian Models." IEEE Transactions on Signal Processing 59, no. 1, 130 - 144.
  • Dalton, LA, Dougherty, ER, 2011, "Application of the Bayesian MMSE estimator for classification error to gene expression microarray data." Bioinformatics 27, no. 13, 1822 - 1831.
  • Dalton, LA, Dougherty, ER, 2011, "Bayesian Minimum Mean-Square Error Estimation for Classification Error-Part I: Definition and the Bayesian MMSE Error Estimator for Discrete Classification." IEEE Transactions on Signal Processing 59, no. 1, 115 - 129.

2009

  • Dalton, LA, Ballarin, V, Brun, M, 2009, "Clustering Algorithms: On Learning, Validation, Performance, and Applications to Genomics." Current Genomics 10, no. 6, 430 - 445.

2005

  • Dalton, LA, Georghiades, CN, 2005, "A Full-Rate, Full-Diversity Four-Antenna Quasi-Orthogonal Space-Time Block Code." IEEE Transactions on Wireless Communications 4, no. 2, 363 - 366.

Unknown

  • Dalton, LA, Dougherty, ER, "Intrinsicly Optimal Bayesian Robust Linear Filtering." IEEE Trans. Signal Proc.

Presentations

  • "Practical Implementation of the Bayesian MMSE Error Estimator to Microarray Expression Data." 2011, Presented at the 8th Annual Conference of the MidSouth Computational Biology and Bioinformatics Society (MCBIOS 2011),
  • "Exact Sample Conditioned Performance of Estimators for Classification Error Under Bayesian Contexts." 2011, Presented at the IMA Workshop Large Data Sets in Medical Informatics, Minneapolis,
  • "Tutorial on MMSE Classifier Error Estimation." 2012, Presented at Tampere University of Technology, Tampere, FI|FIN
  • "An Orthogonal Space-Time Code with Full Rate and Diversity." 2003, Presented at the 2003 TxTEC Conference, Arlington,
  • "A Four Transmit Antenna Orthogonal Space-Time Code with Full Diversity and Rate." 2003, Presented at TI Day, College Station,
  • "Non-Orthogonal STBC with Linear Decoding Complexity." 2003, Presented at Texas Instruments, Dallas,
  • "A Bayesian Approach to Error Estimation in the Small Sample Setting." 2009, Presented at Texas A&M University, College Station,
  • "Application of Bayesian MMSE Error Estimation to Microarray Classification." 2010, Presented at the TGEN/VARI 2010 Scientific Retreat, Phoenix,
  • "An Orthogonal Space-Time Code with Full Rate and Diversity." 2002, Presented at Texas A&M University, College Station,
  • "A Four Transmit Antenna Orthogonal Space-Time Code with Full Diversity and Rate." 2002, Presented at Texas Instruments, Dallas,
  • "An Orthogonal Space-Time Code with Full Rate and Diversity." 2002, Presented at the 2002 Del Whitaker Event, College Station,
  • "Improved Space-Time Codes." 2001, Presented at Texas Instruments, Dallas,
  • "Scientific Knowledge is Possible with Small-Sample Biomarker Classification." 2012, Presented at the 9th International Workshop on Computational Systems Biology (WCSB 2012),
  • "A New Optimal Classification Paradigm with Application to Gene Regulatory Networks." 2012, Presented at the OSU-Battelle Workshop on Big Data and Cyber Security, Columbus,
  • "Tutorial on Optimal Classification." 2014, Presented at the Workshop on Information Science for Materials Discovery and Design, Santa Fe,
  • "Optimal and Predictive Classification and Error Estimation." 2014, Presented at Los Alamos National Laboratory, Los Alamos,
  • "Tutorial on Optimal Bayesian Classification." 2014, Presented at the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (CNB-MAC/ACM-BCB 2014),
  • "Model-based Classification: Predictive and Optimal." 2014, Presented at the Workshop on Information Science for Materials Discovery and Design, Santa Fe,
  • "Optimal and Predictive Classification and Error Estimation: A Bayesian Approach." 2014, Presented at DNV GL, Dublin,
  • "Optimal Risk-Based Clustering." 2015, Presented at the 6th Conference on Information Systems and Computer Science in conjunction with the 13th Iberian-American Conference on Educational Information Sciences and Disabilities, EC|ECU
  • "Integrating Domain Knowledge for Accelerated Materials Discovery." 2015, Presented at the Los Alamos National Laboratory Co-Design Workshop 3.0, Los Alamos,
  • "Designing Therapy under Model Uncertainty in Cancer Genomics." 2015, Presented at the Los Alamos National Laboratory Co-Design Workshop 3.0, Los Alamos,
  • "On Optimal Bayesian Classification and Risk Estimation Under Multiple Classes." 2015, Presented at the 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (CNB-MAC/ACM-BCB 2015),
  • "Analytic Representation of Bayes Labeling and Bayes Clustering Operators for Random Labeled Point Processes." 2015, Presented at the 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (CNB-MAC/ACM-BCB 2015),
  • "Data Requirements for Model-Based Cancer Prognosis Prediction." 2016, Presented at the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (CNB-MAC/ACM-BCB 2016),
  • "Optimal ROC-based Classification and Performance Analysis under Bayesian Uncertainty Models." 2016, Presented at the 7th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (CNB-MAC/ACM-BCB 2016),
  • "Optimal Bayesian Inference with Missing Data." 2016, Presented at the Conference on Data Science and Optimal Learning for Material Discovery and Design, Santa Fe,

Papers in Proceedings

2017

  • Foroughi pour, A, Dalton, LA "Robust Feature Selection for Block Covariance Bayesian Models." in The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). New York, (3 2017). 5 pages -

2016

  • Yousefi, MR, Dalton, LA "On the Limits of Data-Driven Cancer Prognosis Prediction." in 3rd IEEE/EMBS International Conference on Biomedical and Health Informatics (IEEE BHI 2016). New York, (1 2016). 537 - 540.
  • Foroughi pour, A, Dalton, LA "Optimal Bayesian Feature Selection with Missing Data." in 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP 2016). New York, (12 2016). 5 pages -

2015

  • Dougherty, ER, Dalton, LA, Alexander, FJ "Small Data Is the Problem." in Asilomar 2015. New York, (11 2015). 5 pages -
  • Dalton, LA "A Risk-Based Approach to Optimal Clustering under Random Labeled Point Processes." in Asilomar 2015. New York, (11 2015). 5 pages -
  • Sridhar, N, Ayello, F, Taylor, C, Dalton, LA "Approaches to Probabilistic Assessment of Radioactive Waste Tank Integrity." in NACE Corrosion Conference 2015. Dallas, (3 2015). 14 pages -

2014

  • Foroughi pour, A, Dalton, LA "Optimal Bayesian Feature Selection on High Dimensional Gene Expression Data." in 2st IEEE Global Conference on Signal and Information Processing (GlobalSIP 2013). New York, (12 2014). 1402 - 1405.
  • Dalton, LA, Yousefi, MR "Optimal Bayesian Cancer Prognosis with Model-Constrained Robust Intervention." in 2st IEEE Global Conference on Signal and Information Processing (GlobalSIP 2013). New York, (12 2014). 1382 - 1385.

2013

  • Dalton, LA "Bayes Clustering Operators for Known Random Labeled Point Processes." in Asilomar 2013. New York, (11 2013). 893 - 897.
  • Dalton, LA "Optimal Bayesian Feature Selection." in 1st IEEE Global Conference on Signal and Information Processing (GlobalSIP 2013). New York, (12 2013). 65 - 68.
  • Dalton, LA "Classifier Risk Analysis under Bayesian Uncertainty Models." in Asilomar 2013. New York, (11 2013). 1395 - 1399.
  • Dalton, LA "Optimal Neyman-Pearson Classification under Bayesian Uncertainty Models." in 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS '12). New York, (11 2013). 90 - 91.
  • Dalton, LA "On the Optimality of k-means Clustering." in 2013 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS '12). New York, (11 2013). 70 - 71.
  • Dalton, LA "Classification with Minimum Expected Error Over an Uncertainty Class of Gaussian Distributions." in ICASSP 2013. New York, (5 2013). 3462 - 3466.
  • Dalton, LA "Application of the Sample-conditioned MSE to Non-linear Classification and Censored Sampling." in 21st European Signal Processing Conference (EUSIPCO). New York, (9 2013). 1 - 5.

2012

  • Dalton, LA, Dougherty, ER "Optimal Classifiers within a Bayesian Framework." in 2012 IEEE Statistical Signal Processing Workshop (SSP '12). New York, (10 2012). 564 - 567.
  • Dalton, LA, Dougherty, ER "Classifier Error Estimator Performance in a Bayesian Context." in 2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS '11). New York, (3 2012). 135 - 138.
  • Dalton, LA, Dougherty, ER "Exact MSE Performance of the Bayesian MMSE Estimator for Classification Error." in 2011 Asilomar Conference on Signals, Systems, and Computers. New York, (4 2012). 997 -
  • Dalton, LA, Dougherty, ER "A Novel Censored Sampling Paradigm for Genomic Data Classification." in 9th International Workshop on Computational Systems Biology (WCSB 2012). Tampere, Finland, (6 2012). 12 - 15.
  • Dalton, LA, Dougherty, ER "Optimal Bayesian Classification and Its Application to Gene Regulatory Networks." in 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS '12). New York, (12 2012). 164 - 167.

2011

  • Dalton, LA, Dougherty, ER "Bayesian MMSE Estimation of Classification Error and Performance on Real Genomic Data." in GENSIPS '10. New York, (2 2011). 1 - 4.

2005

  • Dalton, LA, Isen, C "A Study on High Speed TCP Protocols." in IEEE Global Telecommunications Conference (GLOBECOM 04). New York, (1 2005). 851 - 855.

2004

  • Dalton, LA, Georghiades, CN "On a Class of Non-Orthogonal Space-Time Block Codes with Linear Decoding Complexity." in 58th IEEE Vehicular Technology Conference (VTC 2003). New York, (5 2004). 1728 - 1732.

2003

  • Dalton, LA, Georghiades, CN "A Four Transmit Antenna Orthogonal Space-Time Code with Full Diversity and Rate." in 40th Annual Allerton Conference on Communications, Control, and Computing. Champaign, (1 2003). 1103 - 1104.