A Bayesian Approach to Database Query Optimization. - Kevin D. Seppi; J. Wesley Barnes; Carl N. Morris (INFORMS J. Comput., 1993)

Reinforcement Learning Task Clustering. - James L. Carroll; Todd S. Peterson; Kevin D. Seppi (ICMLA, 2003)

Efficient Value Iteration Using Partitioned Models. - David Wingate; Kevin D. Seppi (ICMLA, 2003)

The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization. - Christopher K. Monson; Kevin D. Seppi (GECCO (1), 2004)

P3VI: a partitioned, prioritized, parallel value iterator. - David Wingate; Kevin D. Seppi (ICML, 2004)

A Bayesian technique for task localization in multiple goal Markov decision processes. - James L. Carroll; Kevin D. Seppi (ICMLA, 2004)

Variable resolution discretization in the joint space. - Christopher K. Monson; David Wingate; Kevin D. Seppi; Todd S. Peterson (ICMLA, 2004)

Studies in the dynamics of economic systems. - Nghia Tran; Whitney Weyerman; Christophe G. Giraud-Carrier; Kevin D. Seppi; Sean Warnick; Rhett Johnson (CCA, 2005)

Linear equality constraints and homomorphous mappings in PSO. - Christopher K. Monson; Kevin D. Seppi (Congress on Evolutionary Computation, 2005)

Bayesian optimization models for particle swarms. - Christopher K. Monson; Kevin D. Seppi (GECCO, 2005)

Exposing origin-seeking bias in PSO. - Christopher K. Monson; Kevin D. Seppi (GECCO, 2005)

Task similarity measures for transfer in reinforcement learning task libraries. - James L. Carroll; Kevin D. Seppi (IJCNN, 2005)

Prioritized Multiplicative Schwarz Procedures for Solving Linear Systems. - David Wingate; Nathaniel Powell; Quinn Snell; Kevin D. Seppi (IPDPS, 2005)

Prioritization Methods for Accelerating MDP Solvers. - David Wingate; Kevin D. Seppi (J. Mach. Learn. Res., 2005)

Particle Swarm Optimization in Dynamic Pricing. - Patrick B. Mullen; Christopher K. Monson; Kevin D. Seppi; Sean C. Warnick (IEEE Congress on Evolutionary Computation, 2006)

Adaptive diversity in PSO. - Christopher K. Monson; Kevin D. Seppi (GECCO, 2006)

Cooperation-based Clustering for Profit-maximizing Organizational Design. - Nghia Tran; Christophe G. Giraud-Carrier; Kevin D. Seppi; Sean Warnick (IJCNN, 2006)

Guided Model Checking with a Bayesian Meta-heuristic. - Kevin D. Seppi; Michael D. Jones; Peter Lamborn (Fundam. Informaticae, 2006)

Jumpstarting phylogenetic analysis. - Jesse Mecham; Mark J. Clement; Quinn Snell; Todd Freestone; Kevin D. Seppi; Keith A. Crandall (Int. J. Bioinform. Res. Appl., 2006)

Active Learning for Part-of-Speech Tagging: Accelerating Corpus Annotation. - Eric K. Ringger; Peter McClanahan; Robbie Haertel; George Busby; Marc Carmen; James L. Carroll; Kevin D. Seppi; Deryle Lonsdale (LAW@ACL, 2007)

Parallel PSO using MapReduce. - Andrew W. McNabb; Christopher K. Monson; Kevin D. Seppi (IEEE Congress on Evolutionary Computation, 2007)

A Utile Function Optimizer. - Christopher K. Monson; Kevin D. Seppi; James L. Carroll (IEEE Congress on Evolutionary Computation, 2007)

MRPSO: MapReduce particle swarm optimization. - Andrew W. McNabb; Christopher K. Monson; Kevin D. Seppi (GECCO, 2007)

The Hough Transform's Implicit Bayesian Foundation. - Neil Toronto; Bryan S. Morse; Dan Ventura; Kevin D. Seppi (ICIP (4), 2007)

Assessing the Costs of Sampling Methods in Active Learning for Annotation. - Robbie Haertel; Eric K. Ringger; Kevin D. Seppi; James L. Carroll; Peter McClanahan (ACL (2), 2008)

Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study. - Eric K. Ringger; Marc Carmen; Robbie Haertel; Kevin D. Seppi; Deryle Lonsdale; Peter McClanahan; James L. Carroll; Noel Ellison (LREC, 2008)

A Graphical Model for Evolutionary Optimization. - Christopher K. Monson; Kevin D. Seppi (Evol. Comput., 2008)

An exploration of topologies and communication in large particle swarms. - Andrew W. McNabb; Matthew Gardner 001; Kevin D. Seppi (IEEE Congress on Evolutionary Computation, 2009)

Super-resolution via recapture and Bayesian effect modeling. - Neil Toronto; Bryan S. Morse; Kevin D. Seppi; Dan Ventura (CVPR, 2009)

Extracting person names from diverse and noisy OCR text. - Thomas L. Packer; Joshua F. Lutes; Aaron P. Stewart; David W. Embley; Eric K. Ringger; Kevin D. Seppi; Lee S. Jensen (AND, 2010)

A Probabilistic Morphological Analyzer for Syriac. - Peter McClanahan; George Busby; Robbie Haertel; Kristian Heal; Deryle Lonsdale; Kevin D. Seppi; Eric K. Ringger (EMNLP, 2010)

Tag Dictionaries Accelerate Manual Annotation. - Marc Carmen; Paul Felt; Robbie Haertel; Deryle Lonsdale; Peter McClanahan; Owen Merkling; Eric K. Ringger; Kevin D. Seppi (LREC, 2010)

CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development. - Paul Felt; Owen Merkling; Marc Carmen; Eric K. Ringger; Warren Lemmon; Kevin D. Seppi; Robbie Haertel (LREC, 2010)

Speculative Evaluation in Particle Swarm Optimization. - Matthew Gardner 001; Andrew W. McNabb; Kevin D. Seppi (PPSN (2), 2010)

Solving virtual machine packing with a Reordering Grouping Genetic Algorithm. - David Wilcox; Andrew W. McNabb; Kevin D. Seppi (IEEE Congress on Evolutionary Computation, 2011)

Turning Bayesian model averaging into Bayesian model combination. - Kristine Monteith; James L. Carroll; Kevin D. Seppi; Tony R. Martinez (IJCNN, 2011)

First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis. - Paul Felt; Eric K. Ringger; Kevin D. Seppi; Kristian Heal; Robbie Haertel; Deryle Lonsdale (LREC, 2012)

The Apiary Topology: Emergent Behavior in Communities of Particle Swarms. - Andrew W. McNabb; Kevin D. Seppi (PPSN (2), 2012)

Mrs: MapReduce for Scientific Computing in Python. - Andrew W. McNabb; Jeffrey Lund; Kevin D. Seppi (SC Companion, 2012)

Topics Over Nonparametric Time: A Supervised Topic Model Using Bayesian Nonparametric Density Estimation. - Daniel David Walker; Eric K. Ringger; Kevin D. Seppi (BMA, 2012)

A speculative approach to parallelization in particle swarm optimization. - Matthew Gardner 001; Andrew W. McNabb; Kevin D. Seppi (Swarm Intell., 2012)

Evaluating supervised topic models in the presence of OCR errors. - Daniel David Walker; Eric K. Ringger; Kevin D. Seppi (DRR, 2013)

Probabilistic Explicit Topic Modeling Using Wikipedia. - Joshua A. Hansen; Eric K. Ringger; Kevin D. Seppi (GSCL, 2013)

Serial PSO results are irrelevant in a multi-core parallel world. - Andrew W. McNabb; Kevin D. Seppi (IEEE Congress on Evolutionary Computation, 2014)

Under-informed momentum in PSO. - Christopher K. Monson; Kevin D. Seppi (GECCO (Companion), 2014)

Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage. - Kevin Black; Eric K. Ringger; Paul Felt; Kevin D. Seppi; Kristian Heal; Deryle Lonsdale (LREC, 2014)

Momresp: A Bayesian Model for Multi-Annotator Document Labeling. - Paul Felt; Robbie Haertel; Eric K. Ringger; Kevin D. Seppi (LREC, 2014)

Using Transfer Learning to Assist Exploratory Corpus Annotation. - Paul Felt; Eric K. Ringger; Kevin D. Seppi; Kristian Heal (LREC, 2014)

Informative path planning with a human path constraint. - Daqing Yi; Michael A. Goodrich; Kevin D. Seppi (SMC, 2014)

Confident but weakly informed: Tackling PSO's momentum conundrum. - Christopher K. Monson; Kevin D. Seppi (SIS, 2014)

Intelligent Cooperative Control for Urban Tracking. - Kevin Cook; Everett Bryan; Huili Yu; He Bai 001; Kevin D. Seppi; Randal W. Beard (J. Intell. Robotic Syst., 2014)

Evaluating machine-assisted annotation in under-resourced settings. - Paul Felt; Eric K. Ringger; Kevin D. Seppi; Kristian S. Heal; Robbie A. Haertel; Deryle Lonsdale (Lang. Resour. Evaluation, 2014)

An Analytic and Empirical Evaluation of Return-on-Investment-Based Active Learning. - Robbie Haertel; Eric K. Ringger; Kevin D. Seppi; Paul Felt (LAW@NAACL-HLT, 2015)

Improving cooperative tracking of an urban target with target motion model learning. - He Bai 001; Kevin Cook; Huili Yu; Kyle Ingersoll; Randy W. Beard; Kevin D. Seppi; Sharath Avadhanam (CDC, 2015)

Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA. - Paul Felt; Eric K. Ringger; Jordan L. Boyd-Graber; Kevin D. Seppi (CoNLL, 2015)

Input-to-State Stability Analysis on Particle Swarm Optimization. - Daqing Yi; Kevin D. Seppi; Michael A. Goodrich (GECCO, 2015)

MORRF*: Sampling-Based Multi-Objective Motion Planning. - Daqing Yi; Michael A. Goodrich; Kevin D. Seppi (IJCAI, 2015)

Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models. - Paul Felt; Kevin Black; Eric K. Ringger; Kevin D. Seppi; Robbie Haertel (HLT-NAACL, 2015)

Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models. - Thang Nguyen 001; Jordan L. Boyd-Graber; Jeffrey Lund; Kevin D. Seppi; Eric K. Ringger (HLT-NAACL, 2015)

ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling. - Forough Poursabzi-Sangdeh; Jordan L. Boyd-Graber; Leah Findlater; Kevin D. Seppi (ACL (1), 2016)

What you Sculpt is What you Get: Modeling Physical Interactive Devices with Clay and 3D Printed Widgets. - Michael D. Jones; Kevin D. Seppi; Dan R. Olsen (CHI, 2016)

Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings. - Paul Felt; Eric K. Ringger; Kevin D. Seppi (COLING, 2016)

Fast Inference for Interactive Models of Text. - Jeffrey Lund; Paul Felt; Kevin D. Seppi; Eric K. Ringger (COLING, 2016)

Homotopy-Aware RRT*: Toward Human-Robot Topological Path-Planning. - Daqing Yi; Michael A. Goodrich; Kevin D. Seppi (HRI, 2016)

Expressing homotopic requirements for mobile robot navigation through natural language instructions. - Daqing Yi; Thomas M. Howard; Michael A. Goodrich; Kevin D. Seppi (IROS, 2016)

Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python. - Jeffrey Lund; Chace Ashcraft; Andrew W. McNabb; Kevin D. Seppi (PyHPC@SC, 2016)

A Multi-Site Joint Replication of a Design Patterns Experiment Using Moderator Variables to Generalize across Contexts. - Jonathan L. Krein; Lutz Prechelt; Natalia Juristo; Aziz Nanthaamornphong; Jeffrey C. Carver; Sira Vegas; Charles D. Knutson; Kevin D. Seppi; Dennis L. Eggett (IEEE Trans. Software Eng., 2016)

Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling. - Jeffrey Lund; Connor Cook; Kevin D. Seppi; Jordan L. Boyd-Graber (ACL (1), 2017)

SIG on Interactive Computing in Outdoor Recreation. - Michael D. Jones; Florian Daiber; Zann Anderson; Kevin D. Seppi (CHI Extended Abstracts, 2017)

Topology-aware RRT∗ for parallel optimal sampling in topologies. - Daqing Yi; Michael A. Goodrich; Thomas M. Howard; Kevin D. Seppi (SMC, 2017)

Sculpt, Deploy, Repeat: Fast Prototyping of Interactive Physical Objects. - Michael D. Jones; Kevin D. Seppi (CoRR, 2017)

The human touch: How non-expert users perceive, interpret, and fix topic models. - Tak Yeon Lee; Alison Smith; Kevin D. Seppi; Niklas Elmqvist; Jordan L. Boyd-Graber; Leah Findlater (Int. J. Hum. Comput. Stud., 2017)

Understanding Particle Swarm Optimization: A Component-Decomposition Perspective. - Daqing Yi; Kevin D. Seppi; Michael A. Goodrich (CEC, 2018)

PHUI-kit: Interface Layout and Fabrication on Curved 3D Printed Objects. - Michael D. Jones; Zann Anderson; Casey Walker; Kevin D. Seppi (CHI, 2018)

PHUI-kit: A Tool for Physical User Interface Layout. - Michael D. Jones; Zann Anderson; Casey Walker; Kevin D. Seppi (CHI Extended Abstracts, 2018)

Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types. - Paul Felt; Eric K. Ringger; Jordan L. Boyd-Graber; Kevin D. Seppi (COLING, 2018)

Labeled Anchors and a Scalable, Transparent, and Interactive Classifier. - Jeffrey Lund; Stephen Cowley; Wilson Fearn; Emily Hales; Kevin D. Seppi (EMNLP, 2018)

Understanding How Non-Experts Collect and Annotate Activity Data. - Michael D. Jones; Naomi Johnson; Kevin D. Seppi; Lawrence Thatcher (UbiComp/ISWC Adjunct, 2018)

Closing the Loop: User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System. - Alison Smith; Varun Kumar; Jordan L. Boyd-Graber; Kevin D. Seppi; Leah Findlater (IUI, 2018)

Decoupling Screen Size and Gesture Size for Wrist Worn Devices. - Michael D. Jones; Kevin D. Seppi; Jared Forsyth; Zann Anderson (PerCom Workshops, 2018)

W.O.U.S.: Widgets of Unusual Size. - Zann Anderson; Michael D. Jones; Kevin D. Seppi (TEI, 2018)

Preprocessor Selection for Machine Learning Pipelines. - Brandon Schoenfeld; Christophe G. Giraud-Carrier; Mason Poggemann; Jarom Christensen; Kevin D. Seppi (CoRR, 2018)

Understanding How Non-experts Collect and Annotate Activity Data. - Naomi Johnson; Michael D. Jones; Kevin D. Seppi; Lawrence Thatcher (Human Activity Sensing, 2019)

Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. - Varun Kumar; Alison Smith-Renner; Leah Findlater; Kevin D. Seppi; Jordan L. Boyd-Graber (ACL (1), 2019)

Automatic Evaluation of Local Topic Quality. - Jeffrey Lund; Piper Armstrong; Wilson Fearn; Stephen Cowley; Courtni Byun; Jordan L. Boyd-Graber; Kevin D. Seppi (ACL (1), 2019)

Humor Detection: A Transformer Gets the Last Laugh. - Orion Weller; Kevin D. Seppi (EMNLP/IJCNLP (1), 2019)

Women in CS: Changing the Women or Changing the World? - Naomi Johnson; Jonathon Garcia; Kevin D. Seppi (FIE, 2019)

Trajectories and Influencing Factors of Student Confidence Across a Semester. - Naomi Johnson; Robert Moulder; Kevin D. Seppi (FIE, 2019)

Cross-referencing Using Fine-grained Topic Modeling. - Jeffrey Lund; Piper Armstrong; Wilson Fearn; Stephen Cowley; Emily Hales; Kevin D. Seppi (NAACL-HLT (1), 2019)

Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks. - Jacob W. Kamminga; Michael D. Jones; Kevin D. Seppi; Nirvana Meratnia; Paul J. M. Havinga (DATA@SenSys, 2019)

Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer. - Orion Weller; Nancy Fulda; Kevin D. Seppi (Fig-Lang@ACL, 2020)

You Don't Have Time to Read This: An Exploration of Document Reading Time Prediction. - Orion Weller; Jordan Hildebrandt; Ilya Reznik; Christopher Challis; E. Shannon Tass; Quinn Snell; Kevin D. Seppi (ACL, 2020)

Digging into user control: perceptions of adherence and instability in transparent models. - Alison Smith-Renner; Varun Kumar; Jordan L. Boyd-Graber; Kevin D. Seppi; Leah Findlater (IUI, 2020)

The rJokes Dataset: a Large Scale Humor Collection. - Orion Weller; Kevin D. Seppi (LREC, 2020)

Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification. - Wilson Fearn; Orion Weller; Kevin D. Seppi (NAACL-HLT, 2021)

When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. - Orion Weller; Kevin D. Seppi; Matt Gardner 001 (ACL (2), 2022)

Metalearning using structure-rich pipeline representations for improved AutoML. - Brandon Schoenfeld; Kevin D. Seppi; Christophe G. Giraud-Carrier (Int. J. Data Anal. Tech. Strateg., 2022)

Dispensing with Humans in Human-Computer Interaction Research. - Courtni Byun; Piper Vasicek; Kevin D. Seppi (CHI Extended Abstracts, 2023)

Understanding the Roles of Video and Sensor Data in the Annotation of Human Activities. - Michael D. Jones; Courtni Byun; Naomi Johnson; Kevin D. Seppi (Int. J. Hum. Comput. Interact., 2023)