Kevin D. Seppi

107 papers A* 9A 9B 26C 7Journal 21Unranked 34
YearRankTypeTitle / Venue / Authors
2023 — conf
Dispensing with Humans in Human-Computer Interaction Research.
CHI Extended Abstracts
Courtni Byun, Piper Vasicek, Kevin D. Seppi
2023 J jnl
Understanding the Roles of Video and Sensor Data in the Annotation of Human Activities.
Int. J. Hum. Comput. Interact.
Michael D. Jones, Courtni Byun, Naomi Johnson, Kevin D. Seppi
2022 J jnl
Metalearning using structure-rich pipeline representations for improved AutoML.
Int. J. Data Anal. Tech. Strateg.
Christophe G. Giraud-Carrier, Kevin D. Seppi, Brandon Schoenfeld
2022 J jnl
Metalearning using structure-rich pipeline representations for improved AutoML.
Int. J. Data Anal. Tech. Strateg.
Brandon Schoenfeld, Kevin D. Seppi, Christophe G. Giraud-Carrier
2022 — conf
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning.
ACL (2)
Orion Weller, Kevin D. Seppi, Matt Gardner
2022 J jnl
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning.
CoRR
Orion Weller, Kevin D. Seppi, Matt Gardner
2021 — conf
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification.
NAACL-HLT
Wilson Fearn, Orion Weller, Kevin D. Seppi
2021 J jnl
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification.
CoRR
Wilson Fearn, Orion Weller, Kevin D. Seppi
2020 — conf
Can Humor Prediction Datasets be used for Humor Generation? Humorous Headline Generation via Style Transfer.
Fig-Lang@ACL
Orion Weller, Nancy Fulda, Kevin D. Seppi
2020 A conf
Digging into user control: perceptions of adherence and instability in transparent models.
IUI
Alison Smith-Renner, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
2020 B conf
The rJokes Dataset: a Large Scale Humor Collection.
LREC
Orion Weller, Kevin D. Seppi
2020 A* conf
You Don't Have Time to Read This: An Exploration of Document Reading Time Prediction.
ACL
Orion Weller, Jordan Hildebrandt, Ilya Reznik, Christopher Challis, E. Shannon Tass, Quinn Snell, Kevin D. Seppi
2019 — conf
Automatic Evaluation of Local Topic Quality.
ACL (1)
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi
2019 J jnl
Automatic Evaluation of Local Topic Quality.
CoRR
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi
2019 — conf
Cross-referencing Using Fine-grained Topic Modeling.
NAACL-HLT (1)
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales, Kevin D. Seppi
2019 J jnl
Cross-referencing using Fine-grained Topic Modeling.
CoRR
Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales, Kevin D. Seppi
2019 — conf
Humor Detection: A Transformer Gets the Last Laugh.
EMNLP/IJCNLP (1)
Orion Weller, Kevin D. Seppi
2019 J jnl
Humor Detection: A Transformer Gets the Last Laugh.
CoRR
Orion Weller, Kevin D. Seppi
2019 — conf
Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks.
DATA@SenSys
Jacob W. Kamminga, Michael D. Jones, Kevin D. Seppi, Nirvana Meratnia, Paul J. M. Havinga
2019 C conf
Trajectories and Influencing Factors of Student Confidence Across a Semester.
FIE
Naomi Johnson, Robert Moulder, Kevin D. Seppi
2019 — ch.
Understanding How Non-experts Collect and Annotate Activity Data.
Human Activity Sensing
Naomi Johnson, Michael D. Jones, Kevin D. Seppi, Lawrence Thatcher
2019 — conf
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models.
ACL (1)
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
2019 J jnl
Why Didn't You Listen to Me? Comparing User Control of Human-in-the-Loop Topic Models.
CoRR
Varun Kumar, Alison Smith-Renner, Leah Findlater, Kevin D. Seppi, Jordan L. Boyd-Graber
2019 C conf
Women in CS: Changing the Women or Changing the World?
FIE
Naomi Johnson, Jonathon Garcia, Kevin D. Seppi
2018 A conf
Closing the Loop: User-Centered Design and Evaluation of a Human-in-the-Loop Topic Modeling System.
IUI
Alison Smith, Varun Kumar, Jordan L. Boyd-Graber, Kevin D. Seppi, Leah Findlater
2018 — conf
Decoupling Screen Size and Gesture Size for Wrist Worn Devices.
PerCom Workshops
Michael D. Jones, Kevin D. Seppi, Jared Forsyth, Zann Anderson
2018 A* conf
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier.
EMNLP
Jeffrey Lund, Stephen Cowley, Wilson Fearn, Emily Hales, Kevin D. Seppi
2018 B conf
Learning from Measurements in Crowdsourcing Models: Inferring Ground Truth from Diverse Annotation Types.
COLING
Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi
2018 — conf
PHUI-kit: A Tool for Physical User Interface Layout.
CHI Extended Abstracts
Michael D. Jones, Zann Anderson, Casey Walker, Kevin D. Seppi
2018 A* conf
PHUI-kit: Interface Layout and Fabrication on Curved 3D Printed Objects.
CHI
Michael D. Jones, Zann Anderson, Casey Walker, Kevin D. Seppi
2018 J jnl
Preprocessor Selection for Machine Learning Pipelines.
CoRR
Brandon Schoenfeld, Christophe G. Giraud-Carrier, Mason Poggemann, Jarom Christensen, Kevin D. Seppi
2018 — conf
Understanding How Non-Experts Collect and Annotate Activity Data.
UbiComp/ISWC Adjunct
Michael D. Jones, Naomi Johnson, Kevin D. Seppi, Lawrence Thatcher
2018 B conf
Understanding Particle Swarm Optimization: A Component-Decomposition Perspective.
CEC
Daqing Yi, Kevin D. Seppi, Michael A. Goodrich
2018 B conf
W.O.U.S.: Widgets of Unusual Size.
TEI
Zann Anderson, Michael D. Jones, Kevin D. Seppi
2017 — conf
SIG on Interactive Computing in Outdoor Recreation.
CHI Extended Abstracts
Michael D. Jones, Florian Daiber, Zann Anderson, Kevin D. Seppi
2017 J jnl
Sculpt, Deploy, Repeat: Fast Prototyping of Interactive Physical Objects.
CoRR
Michael D. Jones, Kevin D. Seppi
2017 — conf
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling.
ACL (1)
Jeffrey Lund, Connor Cook, Kevin D. Seppi, Jordan L. Boyd-Graber
2017 J jnl
The human touch: How non-expert users perceive, interpret, and fix topic models.
Int. J. Hum. Comput. Stud.
Tak Yeon Lee, Alison Smith, Kevin D. Seppi, Niklas Elmqvist, Jordan L. Boyd-Graber, Leah Findlater
2017 B conf
Topology-aware RRT∗ for parallel optimal sampling in topologies.
SMC
Daqing Yi, Michael A. Goodrich, Thomas M. Howard, Kevin D. Seppi
2016 J jnl
A Multi-Site Joint Replication of a Design Patterns Experiment Using Moderator Variables to Generalize across Contexts.
IEEE Trans. Software Eng.
Jonathan L. Krein, Lutz Prechelt, Natalia Juristo, Aziz Nanthaamornphong, Jeffrey C. Carver, Sira Vegas, Charles D. Knutson, Kevin D. Seppi, Dennis L. Eggett
2016 — conf
ALTO: Active Learning with Topic Overviews for Speeding Label Induction and Document Labeling.
ACL (1)
Forough Poursabzi-Sangdeh, Jordan L. Boyd-Graber, Leah Findlater, Kevin D. Seppi
2016 A conf
Expressing homotopic requirements for mobile robot navigation through natural language instructions.
IROS
Daqing Yi, Thomas M. Howard, Michael A. Goodrich, Kevin D. Seppi
2016 B conf
Fast Inference for Interactive Models of Text.
COLING
Jeffrey Lund, Paul Felt, Kevin D. Seppi, Eric K. Ringger
2016 A* conf
Homotopy-Aware RRT*: Toward Human-Robot Topological Path-Planning.
HRI
Daqing Yi, Michael A. Goodrich, Kevin D. Seppi
2016 — conf
Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python.
PyHPC@SC
Jeffrey Lund, Chace Ashcraft, Andrew W. McNabb, Kevin D. Seppi
2016 B conf
Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings.
COLING
Paul Felt, Eric K. Ringger, Kevin D. Seppi
2016 A* conf
What you Sculpt is What you Get: Modeling Physical Interactive Devices with Clay and 3D Printed Widgets.
CHI
Michael D. Jones, Kevin D. Seppi, Dan R. Olsen
2015 — conf
An Analytic and Empirical Evaluation of Return-on-Investment-Based Active Learning.
LAW@NAACL-HLT
Robbie Haertel, Eric K. Ringger, Kevin D. Seppi, Paul Felt
2015 — conf
Early Gains Matter: A Case for Preferring Generative over Discriminative Crowdsourcing Models.
HLT-NAACL
Paul Felt, Kevin Black, Eric K. Ringger, Kevin D. Seppi, Robbie Haertel
2015 — conf
Improving cooperative tracking of an urban target with target motion model learning.
CDC
He Bai, Kevin Cook, Huili Yu, Kyle Ingersoll, Randy W. Beard, Kevin D. Seppi, Sharath Avadhanam
2015 A conf
Input-to-State Stability Analysis on Particle Swarm Optimization.
GECCO
Daqing Yi, Kevin D. Seppi, Michael A. Goodrich
2015 — conf
Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models.
HLT-NAACL
Thang Nguyen, Jordan L. Boyd-Graber, Jeffrey Lund, Kevin D. Seppi, Eric K. Ringger
2015 A* conf
MORRF*: Sampling-Based Multi-Objective Motion Planning.
IJCAI
Daqing Yi, Michael A. Goodrich, Kevin D. Seppi
2015 B conf
Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA.
CoNLL
Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi
2014 — conf
Confident but weakly informed: Tackling PSO's momentum conundrum.
SIS
Christopher K. Monson, Kevin D. Seppi
2014 B conf
Evaluating Lemmatization Models for Machine-Assisted Corpus-Dictionary Linkage.
LREC
Kevin Black, Eric K. Ringger, Paul Felt, Kevin D. Seppi, Kristian Heal, Deryle Lonsdale
2014 J jnl
Evaluating machine-assisted annotation in under-resourced settings.
Lang. Resour. Evaluation
Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian S. Heal, Robbie A. Haertel, Deryle Lonsdale
2014 B conf
Informative path planning with a human path constraint.
SMC
Daqing Yi, Michael A. Goodrich, Kevin D. Seppi
2014 J jnl
Intelligent Cooperative Control for Urban Tracking.
J. Intell. Robotic Syst.
Kevin Cook, Everett Bryan, Huili Yu, He Bai, Kevin D. Seppi, Randal W. Beard
2014 B conf
Momresp: A Bayesian Model for Multi-Annotator Document Labeling.
LREC
Paul Felt, Robbie Haertel, Eric K. Ringger, Kevin D. Seppi
2014 B conf
Serial PSO results are irrelevant in a multi-core parallel world.
IEEE Congress on Evolutionary Computation
Andrew W. McNabb, Kevin D. Seppi
2014 — conf
Under-informed momentum in PSO.
GECCO (Companion)
Christopher K. Monson, Kevin D. Seppi
2014 B conf
Using Transfer Learning to Assist Exploratory Corpus Annotation.
LREC
Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian Heal
2013 — conf
Evaluating supervised topic models in the presence of OCR errors.
DRR
Daniel David Walker, Eric K. Ringger, Kevin D. Seppi
2013 — conf
Probabilistic Explicit Topic Modeling Using Wikipedia.
GSCL
Joshua A. Hansen, Eric K. Ringger, Kevin D. Seppi
2012 J jnl
A speculative approach to parallelization in particle swarm optimization.
Swarm Intell.
Matthew Gardner, Andrew W. McNabb, Kevin D. Seppi
2012 B conf
First Results in a Study Evaluating Pre-annotation and Correction Propagation for Machine-Assisted Syriac Morphological Analysis.
LREC
Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian Heal, Robbie Haertel, Deryle Lonsdale
2012 — conf
Mrs: MapReduce for Scientific Computing in Python.
SC Companion
Andrew W. McNabb, Jeffrey Lund, Kevin D. Seppi
2012 — conf
The Apiary Topology: Emergent Behavior in Communities of Particle Swarms.
PPSN (2)
Andrew W. McNabb, Kevin D. Seppi
2012 — conf
Topics Over Nonparametric Time: A Supervised Topic Model Using Bayesian Nonparametric Density Estimation.
BMA
Daniel David Walker, Eric K. Ringger, Kevin D. Seppi
2011 B conf
Solving virtual machine packing with a Reordering Grouping Genetic Algorithm.
IEEE Congress on Evolutionary Computation
David Wilcox, Andrew W. McNabb, Kevin D. Seppi
2011 B conf
Turning Bayesian model averaging into Bayesian model combination.
IJCNN
Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez
2010 A* conf
A Probabilistic Morphological Analyzer for Syriac.
EMNLP
Peter McClanahan, George Busby, Robbie Haertel, Kristian Heal, Deryle Lonsdale, Kevin D. Seppi, Eric K. Ringger
2010 B conf
CCASH: A Web Application Framework for Efficient, Distributed Language Resource Development.
LREC
Paul Felt, Owen Merkling, Marc Carmen, Eric K. Ringger, Warren Lemmon, Kevin D. Seppi, Robbie Haertel
2010 — conf
Extracting person names from diverse and noisy OCR text.
AND
Thomas L. Packer, Joshua F. Lutes, Aaron P. Stewart, David W. Embley, Eric K. Ringger, Kevin D. Seppi, Lee S. Jensen
2010 — conf
Speculative Evaluation in Particle Swarm Optimization.
PPSN (2)
Matthew Gardner, Andrew W. McNabb, Kevin D. Seppi
2010 B conf
Tag Dictionaries Accelerate Manual Annotation.
LREC
Marc Carmen, Paul Felt, Robbie Haertel, Deryle Lonsdale, Peter McClanahan, Owen Merkling, Eric K. Ringger, Kevin D. Seppi
2009 B conf
An exploration of topologies and communication in large particle swarms.
IEEE Congress on Evolutionary Computation
Andrew W. McNabb, Matthew Gardner, Kevin D. Seppi
2009 A* conf
Super-resolution via recapture and Bayesian effect modeling.
CVPR
Neil Toronto, Bryan S. Morse, Kevin D. Seppi, Dan Ventura
2008 J jnl
A Graphical Model for Evolutionary Optimization.
Evol. Comput.
Christopher K. Monson, Kevin D. Seppi
2008 B conf
Assessing the Costs of Machine-Assisted Corpus Annotation through a User Study.
LREC
Eric K. Ringger, Marc Carmen, Robbie Haertel, Kevin D. Seppi, Deryle Lonsdale, Peter McClanahan, James L. Carroll, Noel Ellison
2008 — conf
Assessing the Costs of Sampling Methods in Active Learning for Annotation.
ACL (2)
Robbie Haertel, Eric K. Ringger, Kevin D. Seppi, James L. Carroll, Peter McClanahan
2007 B conf
A Utile Function Optimizer.
IEEE Congress on Evolutionary Computation
Christopher K. Monson, Kevin D. Seppi, James L. Carroll
2007 — conf
Active Learning for Part-of-Speech Tagging: Accelerating Corpus Annotation.
LAW@ACL
Eric K. Ringger, Peter McClanahan, Robbie Haertel, George Busby, Marc Carmen, James L. Carroll, Kevin D. Seppi, Deryle Lonsdale
2007 A conf
MRPSO: MapReduce particle swarm optimization.
GECCO
Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi
2007 B conf
Parallel PSO using MapReduce.
IEEE Congress on Evolutionary Computation
Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi
2007 — conf
The Hough Transform's Implicit Bayesian Foundation.
ICIP (4)
Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi
2006 A conf
Adaptive diversity in PSO.
GECCO
Christopher K. Monson, Kevin D. Seppi
2006 B conf
Cooperation-based Clustering for Profit-maximizing Organizational Design.
IJCNN
Nghia Tran, Christophe G. Giraud-Carrier, Kevin D. Seppi, Sean Warnick
2006 J jnl
Guided Model Checking with a Bayesian Meta-heuristic.
Fundam. Informaticae
Kevin D. Seppi, Michael D. Jones, Peter Lamborn
2006 J jnl
Jumpstarting phylogenetic analysis.
Int. J. Bioinform. Res. Appl.
Jesse Mecham, Mark J. Clement, Quinn Snell, Todd Freestone, Kevin D. Seppi, Keith A. Crandall
2006 B conf
Particle Swarm Optimization in Dynamic Pricing.
IEEE Congress on Evolutionary Computation
Patrick B. Mullen, Christopher K. Monson, Kevin D. Seppi, Sean C. Warnick
2005 A conf
Bayesian optimization models for particle swarms.
GECCO
Christopher K. Monson, Kevin D. Seppi
2005 A conf
Exposing origin-seeking bias in PSO.
GECCO
Christopher K. Monson, Kevin D. Seppi
2005 B conf
Linear equality constraints and homomorphous mappings in PSO.
Congress on Evolutionary Computation
Christopher K. Monson, Kevin D. Seppi
2005 J jnl
Prioritization Methods for Accelerating MDP Solvers.
J. Mach. Learn. Res.
David Wingate, Kevin D. Seppi
2005 A conf
Prioritized Multiplicative Schwarz Procedures for Solving Linear Systems.
IPDPS
David Wingate, Nathaniel Powell, Quinn Snell, Kevin D. Seppi
2005 C conf
Studies in the dynamics of economic systems.
CCA
Nghia Tran, Whitney Weyerman, Christophe G. Giraud-Carrier, Kevin D. Seppi, Sean Warnick, Rhett Johnson
2005 B conf
Task similarity measures for transfer in reinforcement learning task libraries.
IJCNN
James L. Carroll, Kevin D. Seppi
2004 C conf
A Bayesian technique for task localization in multiple goal Markov decision processes.
ICMLA
James L. Carroll, Kevin D. Seppi
2004 — conf
Guided Model Checking with a Bayesian Meta-heuristic.
ACSD
Kevin D. Seppi, Michael D. Jones, Peter Lamborn
2004 A* conf
P3VI: a partitioned, prioritized, parallel value iterator.
ICML
David Wingate, Kevin D. Seppi
2004 — conf
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization.
GECCO (1)
Christopher K. Monson, Kevin D. Seppi
2004 C conf
Variable resolution discretization in the joint space.
ICMLA
Christopher K. Monson, David Wingate, Kevin D. Seppi, Todd S. Peterson
2003 C conf
Efficient Value Iteration Using Partitioned Models.
ICMLA
David Wingate, Kevin D. Seppi
2003 C conf
Reinforcement Learning Task Clustering.
ICMLA
James L. Carroll, Todd S. Peterson, Kevin D. Seppi
1993 J jnl
A Bayesian Approach to Database Query Optimization.
INFORMS J. Comput.
Kevin D. Seppi, J. Wesley Barnes, Carl N. Morris