Kevin D. Seppi

ORCID

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 46

Top Venues

Publications

Courtni Byun, Piper Vasicek, Kevin D. Seppi
Dispensing with Humans in Human-Computer Interaction Research. CHI Extended Abstracts (2023)
Michael D. Jones, Courtni Byun, Naomi Johnson, Kevin D. Seppi
Understanding the Roles of Video and Sensor Data in the Annotation of Human Activities. Int. J. Hum. Comput. Interact. 39 (18) (2023)
Orion Weller, Kevin D. Seppi, Matt Gardner
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. ACL (2) (2022)
Christophe G. Giraud-Carrier, Kevin D. Seppi, Brandon Schoenfeld
Metalearning using structure-rich pipeline representations for improved AutoML. Int. J. Data Anal. Tech. Strateg. 14 (4) (2022)
Brandon Schoenfeld, Kevin D. Seppi, Christophe G. Giraud-Carrier
Metalearning using structure-rich pipeline representations for improved AutoML. Int. J. Data Anal. Tech. Strateg. 14 (4) (2022)
Orion Weller, Kevin D. Seppi, Matt Gardner
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. CoRR (2022)
Wilson Fearn, Orion Weller, Kevin D. Seppi
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification. CoRR (2021)
Wilson Fearn, Orion Weller, Kevin D. Seppi
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification. NAACL-HLT (2021)
Orion Weller, Kevin D. Seppi
The rJokes Dataset: a Large Scale Humor Collection. LREC (2020)
Orion Weller, Nancy Fulda, Kevin D. Seppi
Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer. Fig-Lang@ACL (2020)
Orion Weller, Jordan Hildebrandt, Ilya Reznik, Christopher Challis, E. Shannon Tass, Quinn Snell, Kevin D. Seppi
You Don't Have Time to Read This: An Exploration of Document Reading Time Prediction. ACL (2020)
Alison Smith-Renner, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
Digging into user control: perceptions of adherence and instability in transparent models. IUI (2020)
Naomi Johnson, Robert Moulder, Kevin D. Seppi
Trajectories and Influencing Factors of Student Confidence Across a Semester. FIE (2019)
Orion Weller, Kevin D. Seppi
Humor Detection: A Transformer Gets the Last Laugh. CoRR (2019)
Naomi Johnson, Jonathon Garcia, Kevin D. Seppi
Women in CS: Changing the Women or Changing the World? FIE (2019)
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales, Kevin D. Seppi
Cross-referencing Using Fine-grained Topic Modeling. NAACL-HLT (1) (2019)
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi
Automatic Evaluation of Local Topic Quality. CoRR (2019)
Jacob W. Kamminga, Michael Jones, Kevin D. Seppi, Nirvana Meratnia, Paul J. M. Havinga
Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks. DATA@SenSys (2019)
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. ACL (1) (2019)
Orion Weller, Kevin D. Seppi
Humor Detection: A Transformer Gets the Last Laugh. EMNLP/IJCNLP (1) (2019)
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales, Kevin D. Seppi
Cross-referencing using Fine-grained Topic Modeling. CoRR (2019)
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi
Automatic Evaluation of Local Topic Quality. ACL (1) (2019)
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models. CoRR (2019)
Daqing Yi, Kevin D. Seppi, Michael A. Goodrich
Understanding Particle Swarm Optimization: A Component-Decomposition Perspective. CEC (2018)
Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types. COLING (2018)
Michael D. Jones, Zann Anderson, Casey Walker, Kevin D. Seppi
PHUI-kit: Interface Layout and Fabrication on Curved 3D Printed Objects. CHI (2018)
Michael D. Jones, Kevin D. Seppi, Jared Forsyth, Zann Anderson
Decoupling Screen Size and Gesture Size for Wrist Worn Devices. PerCom Workshops (2018)
Michael D. Jones, Naomi Johnson, Kevin D. Seppi, Lawrence Thatcher
Understanding How Non-Experts Collect and Annotate Activity Data. UbiComp/ISWC Adjunct (2018)
Zann Anderson, Michael D. Jones, Kevin D. Seppi
W.O.U.S.: Widgets of Unusual Size. Tangible and Embedded Interaction (2018)
Jeffrey Lund, Stephen Cowley, Wilson Fearn, Emily Hales, Kevin D. Seppi
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier. EMNLP (2018)
Alison Smith, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
Closing the Loop: User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System. IUI (2018)
Brandon Schoenfeld, Christophe G. Giraud-Carrier, Mason Poggemann, Jarom Christensen, Kevin D. Seppi
Preprocessor Selection for Machine Learning Pipelines. CoRR (2018)
Michael D. Jones, Zann Anderson, Casey Walker, Kevin D. Seppi
PHUI-kit: A Tool for Physical User Interface Layout. CHI Extended Abstracts (2018)
Jeffrey Lund, Connor Cook, Kevin D. Seppi, Jordan L. Boyd-Graber
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling. ACL (1) (2017)
Daqing Yi, Michael A. Goodrich, Thomas M. Howard, Kevin D. Seppi
Topology-aware RRT∗ for parallel optimal sampling in topologies. SMC (2017)
Michael D. Jones, Kevin D. Seppi
Sculpt, Deploy, Repeat: Fast Prototyping of Interactive Physical Objects. CoRR (2017)
Tak Yeon Lee, Alison Smith, Kevin D. Seppi, Niklas Elmqvist, Jordan L. Boyd-Graber, Leah Findlater
The human touch: How non-expert users perceive, interpret, and fix topic models. Int. J. Hum. Comput. Stud. 105 (2017)
Michael D. Jones, Florian Daiber, Zann Anderson, Kevin D. Seppi
SIG on Interactive Computing in Outdoor Recreation. CHI Extended Abstracts (2017)
Daqing Yi, Michael A. Goodrich, Kevin D. Seppi
Homotopy-Aware RRT*: Toward Human-Robot Topological Path-Planning. HRI (2016)
Jeffrey Lund, Paul Felt, Kevin D. Seppi, Eric K. Ringger
Fast Inference for Interactive Models of Text. COLING (2016)
Michael D. Jones, Kevin D. Seppi, Dan R. Olsen
What you Sculpt is What you Get: Modeling Physical Interactive Devices with Clay and 3D Printed Widgets. CHI (2016)
Forough Poursabzi-Sangdeh, Jordan L. Boyd-Graber, Leah Findlater, Kevin D. Seppi
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling. ACL (1) (2016)
Daqing Yi, Thomas M. Howard, Michael A. Goodrich, Kevin D. Seppi
Expressing homotopic requirements for mobile robot navigation through natural language instructions. IROS (2016)
Paul Felt, Eric K. Ringger, Kevin D. Seppi
Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings. COLING (2016)
Jonathan L. Krein, Lutz Prechelt, Natalia Juristo, Aziz Nanthaamornphong, Jeffrey C. Carver, Sira Vegas, Charles D. Knutson, Kevin D. Seppi, Dennis L. Eggett
A Multi-Site Joint Replication of a Design Patterns Experiment Using Moderator Variables to Generalize across Contexts. IEEE Trans. Software Eng. 42 (4) (2016)
Jeffrey Lund, Chace Ashcraft, Andrew W. McNabb, Kevin D. Seppi
Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python. PyHPC@SC (2016)
Robbie Haertel, Eric K. Ringger, Kevin D. Seppi, Paul Felt
An Analytic and Empirical Evaluation of Return-on-Investment-Based Active Learning. LAW@NAACL-HLT (2015)
Thang Nguyen, Jordan L. Boyd-Graber, Jeffrey Lund, Kevin D. Seppi, Eric K. Ringger
Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models. HLT-NAACL (2015)
Daqing Yi, Michael A. Goodrich, Kevin D. Seppi
MORRF*: Sampling-Based Multi-Objective Motion Planning. IJCAI (2015)
Daqing Yi, Kevin D. Seppi, Michael A. Goodrich
Input-to-State Stability Analysis on Particle Swarm Optimization. GECCO (2015)
He Bai, Kevin Cook, Huili Yu, Kyle Ingersoll, Randy W. Beard, Kevin D. Seppi, Sharath Avadhanam
Improving cooperative tracking of an urban target with target motion model learning. CDC (2015)
Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi
Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA. CoNLL (2015)
Paul Felt, Kevin Black, Eric K. Ringger, Kevin D. Seppi, Robbie Haertel
Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models. HLT-NAACL (2015)
Daqing Yi, Michael A. Goodrich, Kevin D. Seppi
Informative path planning with a human path constraint. SMC (2014)
Christopher K. Monson, Kevin D. Seppi
Confident but weakly informed: Tackling PSO's momentum conundrum. SIS (2014)
Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian S. Heal, Robbie A. Haertel, Deryle Lonsdale
Evaluating machine-assisted annotation in under-resourced settings. Lang. Resour. Evaluation 48 (4) (2014)
Christopher K. Monson, Kevin D. Seppi
Under-informed momentum in PSO. GECCO (Companion) (2014)
Andrew W. McNabb, Kevin D. Seppi
Serial PSO results are irrelevant in a multi-core parallel world. IEEE Congress on Evolutionary Computation (2014)
Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian Heal
Using Transfer Learning to Assist Exploratory Corpus Annotation. LREC (2014)
Kevin Black, Eric K. Ringger, Paul Felt, Kevin D. Seppi, Kristian Heal, Deryle Lonsdale
Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage. LREC (2014)
Kevin Cook, Everett Bryan, Huili Yu, He Bai, Kevin D. Seppi, Randal W. Beard
Intelligent Cooperative Control for Urban Tracking. J. Intell. Robotic Syst. 74 (1-2) (2014)
Paul Felt, Robbie Haertel, Eric K. Ringger, Kevin D. Seppi
Momresp: A Bayesian Model for Multi-Annotator Document Labeling. LREC (2014)
Joshua A. Hansen, Eric K. Ringger, Kevin D. Seppi
Probabilistic Explicit Topic Modeling Using Wikipedia. GSCL (2013)
Daniel David Walker, Eric K. Ringger, Kevin D. Seppi
Evaluating supervised topic models in the presence of OCR errors. DRR (2013)
Daniel David Walker, Eric K. Ringger, Kevin D. Seppi
Topics Over Nonparametric Time: A Supervised Topic Model Using Bayesian Nonparametric Density Estimation. BMA (2012)
Andrew W. McNabb, Jeffrey Lund, Kevin D. Seppi
Mrs: MapReduce for Scientific Computing in Python. SC Companion (2012)
Andrew W. McNabb, Kevin D. Seppi
The Apiary Topology: Emergent Behavior in Communities of Particle Swarms. PPSN (2) (2012)
Matthew Gardner, Andrew W. McNabb, Kevin D. Seppi
A speculative approach to parallelization in particle swarm optimization. Swarm Intell. 6 (2) (2012)
Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian Heal, Robbie Haertel, Deryle Lonsdale
First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis. LREC (2012)
Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez
Turning Bayesian model averaging into Bayesian model combination. IJCNN (2011)
David Wilcox, Andrew W. McNabb, Kevin D. Seppi
Solving virtual machine packing with a Reordering Grouping Genetic Algorithm. IEEE Congress on Evolutionary Computation (2011)
Matthew Gardner, Andrew W. McNabb, Kevin D. Seppi
Speculative Evaluation in Particle Swarm Optimization. PPSN (2) (2010)
Peter McClanahan, George Busby, Robbie Haertel, Kristian Heal, Deryle Lonsdale, Kevin D. Seppi, Eric K. Ringger
A Probabilistic Morphological Analyzer for Syriac. EMNLP (2010)
Marc Carmen, Paul Felt, Robbie Haertel, Deryle Lonsdale, Peter McClanahan, Owen Merkling, Eric K. Ringger, Kevin D. Seppi
Tag Dictionaries Accelerate Manual Annotation. LREC (2010)
Thomas L. Packer, Joshua F. Lutes, Aaron P. Stewart, David W. Embley, Eric K. Ringger, Kevin D. Seppi, Lee S. Jensen
Extracting person names from diverse and noisy OCR text. AND (2010)
Paul Felt, Owen Merkling, Marc Carmen, Eric K. Ringger, Warren Lemmon, Kevin D. Seppi, Robbie Haertel
CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development. LREC (2010)
Andrew W. McNabb, Matthew Gardner, Kevin D. Seppi
An exploration of topologies and communication in large particle swarms. IEEE Congress on Evolutionary Computation (2009)
Neil Toronto, Bryan S. Morse, Kevin D. Seppi, Dan Ventura
Super-resolution via recapture and Bayesian effect modeling. CVPR (2009)
Christopher K. Monson, Kevin D. Seppi
A Graphical Model for Evolutionary Optimization. Evol. Comput. 16 (3) (2008)
Robbie Haertel, Eric K. Ringger, Kevin D. Seppi, James L. Carroll, Peter McClanahan
Assessing the Costs of Sampling Methods in Active Learning for Annotation. ACL (2) (2008)
Eric K. Ringger, Marc Carmen, Robbie Haertel, Kevin D. Seppi, Deryle Lonsdale, Peter McClanahan, James L. Carroll, Noel Ellison
Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study. LREC (2008)
Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi
Parallel PSO using MapReduce. IEEE Congress on Evolutionary Computation (2007)
Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi
The Hough Transform's Implicit Bayesian Foundation. ICIP (4) (2007)
Eric K. Ringger, Peter McClanahan, Robbie Haertel, George Busby, Marc Carmen, James L. Carroll, Kevin D. Seppi, Deryle Lonsdale
Active Learning for Part-of-Speech Tagging: Accelerating Corpus Annotation. LAW@ACL (2007)
Christopher K. Monson, Kevin D. Seppi, James L. Carroll
A Utile Function Optimizer. IEEE Congress on Evolutionary Computation (2007)
Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi
MRPSO: MapReduce particle swarm optimization. GECCO (2007)
Jesse Mecham, Mark J. Clement, Quinn Snell, Todd Freestone, Kevin D. Seppi, Keith A. Crandall
Jumpstarting phylogenetic analysis. Int. J. Bioinform. Res. Appl. 2 (1) (2006)
Patrick B. Mullen, Christopher K. Monson, Kevin D. Seppi, Sean C. Warnick
Particle Swarm Optimization in Dynamic Pricing. IEEE Congress on Evolutionary Computation (2006)
Christopher K. Monson, Kevin D. Seppi
Adaptive diversity in PSO. GECCO (2006)
Kevin D. Seppi, Michael D. Jones, Peter Lamborn
Guided Model Checking with a Bayesian Meta-heuristic. Fundam. Informaticae 70 (1-2) (2006)
Nghia Tran, Christophe G. Giraud-Carrier, Kevin D. Seppi, Sean Warnick
Cooperation-based Clustering for Profit-maximizing Organizational Design. IJCNN (2006)
David Wingate, Kevin D. Seppi
Prioritization Methods for Accelerating MDP Solvers. J. Mach. Learn. Res. 6 (2005)
Christopher K. Monson, Kevin D. Seppi
Linear equality constraints and homomorphous mappings in PSO. Congress on Evolutionary Computation (2005)
Christopher K. Monson, Kevin D. Seppi
Bayesian optimization models for particle swarms. GECCO (2005)
David Wingate, Nathaniel Powell, Quinn Snell, Kevin D. Seppi
Prioritized Multiplicative Schwarz Procedures for Solving Linear Systems. IPDPS (2005)
Christopher K. Monson, Kevin D. Seppi
Exposing origin-seeking bias in PSO. GECCO (2005)
James L. Carroll, Kevin D. Seppi
A Bayesian technique for task localization in multiple goal Markov decision processes. ICMLA (2004)
Kevin D. Seppi, Michael D. Jones, Peter Lamborn
Guided Model Checking with a Bayesian Meta-heuristic. ACSD (2004)
David Wingate, Kevin D. Seppi
P3VI: a partitioned, prioritized, parallel value iterator. ICML (2004)
Christopher K. Monson, Kevin D. Seppi
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization. GECCO (1) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kevin D. Seppi