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ORCIDKevin D. Seppi
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- affiliation: Brigham Young University, Computer Science Department
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2020 – today
- 2023
[j13]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): 3634-3648 (2023)- [c83]Courtni Byun, Piper Vasicek, Kevin D. Seppi:
Dispensing with Humans in Human-Computer Interaction Research. CHI Extended Abstracts 2023: 413:1-413:26 - 2022
- [j12]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) - [j11]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) - [c82]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: 272-282 - [i8]Orion Weller, Kevin D. Seppi, Matt Gardner:
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. CoRR abs/2205.08124 (2022) - 2021
- [c81]Wilson Fearn, Orion Weller, Kevin D. Seppi:
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification. NAACL-HLT 2021: 3069-3082 - [i7]Wilson Fearn, Orion Weller, Kevin D. Seppi:
Exploring the Relationship Between Algorithm Performance, Vocabulary, and Run-Time in Text Classification. CoRR abs/2104.03848 (2021) - 2020
- [c80]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: 1789-1794 - [c79]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: 186-191 - [c78]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: 519-530 - [c77]Orion Weller, Kevin D. Seppi:
The rJokes Dataset: a Large Scale Humor Collection. LREC 2020: 6136-6141
2010 – 2019
- 2019
- [c76]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: 788-796 - [c75]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: 6323-6330 - [c74]Orion Weller, Kevin D. Seppi:
Humor Detection: A Transformer Gets the Last Laugh. EMNLP/IJCNLP (1) 2019: 3619-3623 - [c73]Naomi Johnson, Jonathon Garcia, Kevin D. Seppi:
Women in CS: Changing the Women or Changing the World? FIE 2019: 1-8 - [c72]Naomi Johnson, Robert Moulder, Kevin D. Seppi:
Trajectories and Influencing Factors of Student Confidence Across a Semester. FIE 2019: 1-8 - [c71]Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales, Kevin D. Seppi:
Cross-referencing Using Fine-grained Topic Modeling. NAACL-HLT (1) 2019: 3978-3987 - [c70]Jacob W. Kamminga, Michael D. Jones, Kevin D. Seppi, Nirvana Meratnia, Paul J. M. Havinga:
Synchronization between Sensors and Cameras in Movement Data Labeling Frameworks. DATA@SenSys 2019: 37-39 - [p1]Naomi Johnson, Michael D. Jones, Kevin D. Seppi, Lawrence Thatcher:
Understanding How Non-experts Collect and Annotate Activity Data. Human Activity Sensing 2019: 91-110 - [i6]Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Emily Hales, Kevin D. Seppi:
Cross-referencing using Fine-grained Topic Modeling. CoRR abs/1905.07508 (2019) - [i5]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 abs/1905.09864 (2019) - [i4]Jeffrey Lund, Piper Armstrong, Wilson Fearn, Stephen Cowley, Courtni Byun, Jordan L. Boyd-Graber, Kevin D. Seppi:
Automatic Evaluation of Local Topic Quality. CoRR abs/1905.13126 (2019) - [i3]Orion Weller, Kevin D. Seppi:
Humor Detection: A Transformer Gets the Last Laugh. CoRR abs/1909.00252 (2019) - 2018
- [c69]Daqing Yi, Kevin D. Seppi, Michael A. Goodrich:
Understanding Particle Swarm Optimization: A Component-Decomposition Perspective. CEC 2018: 1-8 - [c68]Michael D. Jones, Zann Anderson, Casey Walker, Kevin D. Seppi:
PHUI-kit: Interface Layout and Fabrication on Curved 3D Printed Objects. CHI 2018: 110 - [c67]Michael D. Jones, Zann Anderson, Casey Walker, Kevin D. Seppi:
PHUI-kit: A Tool for Physical User Interface Layout. CHI Extended Abstracts 2018 - [c66]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: 1694-1704 - [c65]Jeffrey Lund, Stephen Cowley, Wilson Fearn, Emily Hales, Kevin D. Seppi:
Labeled Anchors and a Scalable, Transparent, and Interactive Classifier. EMNLP 2018: 824-829 - [c64]Michael D. Jones, Naomi Johnson, Kevin D. Seppi, Lawrence Thatcher:
Understanding How Non-Experts Collect and Annotate Activity Data. UbiComp/ISWC Adjunct 2018: 1424-1433 - [c63]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: 293-304 - [c62]Michael D. Jones, Kevin D. Seppi, Jared Forsyth, Zann Anderson:
Decoupling Screen Size and Gesture Size for Wrist Worn Devices. PerCom Workshops 2018: 324-329 - [c61]Zann Anderson, Michael D. Jones, Kevin D. Seppi:
W.O.U.S.: Widgets of Unusual Size. TEI 2018: 221-230 - [i2]Brandon Schoenfeld, Christophe G. Giraud-Carrier, Mason Poggemann, Jarom Christensen, Kevin D. Seppi:
Preprocessor Selection for Machine Learning Pipelines. CoRR abs/1810.09942 (2018) - 2017
- [j10]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: 28-42 (2017) - [c60]Jeffrey Lund, Connor Cook, Kevin D. Seppi, Jordan L. Boyd-Graber:
Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling. ACL (1) 2017: 896-905 - [c59]Michael D. Jones, Florian Daiber, Zann Anderson, Kevin D. Seppi:
SIG on Interactive Computing in Outdoor Recreation. CHI Extended Abstracts 2017: 1326-1329 - [c58]Daqing Yi, Michael A. Goodrich, Thomas M. Howard, Kevin D. Seppi:
Topology-aware RRT∗ for parallel optimal sampling in topologies. SMC 2017: 513-518 - [i1]Michael D. Jones, Kevin D. Seppi:
Sculpt, Deploy, Repeat: Fast Prototyping of Interactive Physical Objects. CoRR abs/1709.06067 (2017) - 2016
- [j9]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): 302-321 (2016) - [c57]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 - [c56]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: 876-886 - [c55]Paul Felt, Eric K. Ringger, Kevin D. Seppi:
Semantic Annotation Aggregation with Conditional Crowdsourcing Models and Word Embeddings. COLING 2016: 1787-1796 - [c54]Jeffrey Lund, Paul Felt, Kevin D. Seppi, Eric K. Ringger:
Fast Inference for Interactive Models of Text. COLING 2016: 2997-3006 - [c53]Daqing Yi, Michael A. Goodrich, Kevin D. Seppi:
Homotopy-Aware RRT*: Toward Human-Robot Topological Path-Planning. HRI 2016: 279-286 - [c52]Daqing Yi, Thomas M. Howard, Michael A. Goodrich, Kevin D. Seppi:
Expressing homotopic requirements for mobile robot navigation through natural language instructions. IROS 2016: 1462-1468 - [c51]Jeffrey Lund, Chace Ashcraft, Andrew W. McNabb, Kevin D. Seppi:
Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python. PyHPC@SC 2016: 76-85 - 2015
- [c50]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: 11-20 - [c49]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: 2347-2352 - [c48]Paul Felt, Eric K. Ringger, Jordan L. Boyd-Graber, Kevin D. Seppi:
Making the Most of Crowdsourced Document Annotations: Confused Supervised LDA. CoNLL 2015: 194-203 - [c47]Daqing Yi, Kevin D. Seppi, Michael A. Goodrich:
Input-to-State Stability Analysis on Particle Swarm Optimization. GECCO 2015: 81-88 - [c46]Daqing Yi, Michael A. Goodrich, Kevin D. Seppi:
MORRF*: Sampling-Based Multi-Objective Motion Planning. IJCAI 2015: 1733-1741 - [c45]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: 746-755 - [c44]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: 882-891 - 2014
- [j8]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): 251-267 (2014) - [j7]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): 561-599 (2014) - [c43]Andrew W. McNabb, Kevin D. Seppi:
Serial PSO results are irrelevant in a multi-core parallel world. IEEE Congress on Evolutionary Computation 2014: 3143-3150 - [c42]Christopher K. Monson, Kevin D. Seppi:
Under-informed momentum in PSO. GECCO (Companion) 2014: 13-14 - [c41]Paul Felt, Eric K. Ringger, Kevin D. Seppi, Kristian Heal:
Using Transfer Learning to Assist Exploratory Corpus Annotation. LREC 2014: 140-145 - [c40]Paul Felt, Robbie Haertel, Eric K. Ringger, Kevin D. Seppi:
Momresp: A Bayesian Model for Multi-Annotator Document Labeling. LREC 2014: 3704-3711 - [c39]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: 3798-3805 - [c38]Daqing Yi, Michael A. Goodrich, Kevin D. Seppi:
Informative path planning with a human path constraint. SMC 2014: 1752-1758 - [c37]Christopher K. Monson, Kevin D. Seppi:
Confident but weakly informed: Tackling PSO's momentum conundrum. SIS 2014: 57-64 - 2013
- [c36]Daniel David Walker, Eric K. Ringger, Kevin D. Seppi:
Evaluating supervised topic models in the presence of OCR errors. DRR 2013: 865812 - [c35]Joshua A. Hansen, Eric K. Ringger, Kevin D. Seppi:
Probabilistic Explicit Topic Modeling Using Wikipedia. GSCL 2013: 69-82 - 2012
- [j6]Matthew Gardner, Andrew W. McNabb, Kevin D. Seppi:
A speculative approach to parallelization in particle swarm optimization. Swarm Intell. 6(2): 77-116 (2012) - [c34]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: 878-885 - [c33]Andrew W. McNabb, Kevin D. Seppi:
The Apiary Topology: Emergent Behavior in Communities of Particle Swarms. PPSN (2) 2012: 164-173 - [c32]Andrew W. McNabb, Jeffrey Lund, Kevin D. Seppi:
Mrs: MapReduce for Scientific Computing in Python. SC Companion 2012: 600-608 - [c31]Daniel David Walker, Eric K. Ringger, Kevin D. Seppi:
Topics Over Nonparametric Time: A Supervised Topic Model Using Bayesian Nonparametric Density Estimation. BMA 2012: 74-83 - 2011
- [c30]David Wilcox, Andrew W. McNabb, Kevin D. Seppi:
Solving virtual machine packing with a Reordering Grouping Genetic Algorithm. IEEE Congress on Evolutionary Computation 2011: 362-369 - [c29]Kristine Monteith, James L. Carroll, Kevin D. Seppi, Tony R. Martinez:
Turning Bayesian model averaging into Bayesian model combination. IJCNN 2011: 2657-2663 - 2010
- [c28]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: 19-26 - [c27]Peter McClanahan, George Busby, Robbie Haertel, Kristian Heal, Deryle Lonsdale, Kevin D. Seppi, Eric K. Ringger:
A Probabilistic Morphological Analyzer for Syriac. EMNLP 2010: 810-820 - [c26]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 - [c25]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 - [c24]Matthew Gardner, Andrew W. McNabb, Kevin D. Seppi:
Speculative Evaluation in Particle Swarm Optimization. PPSN (2) 2010: 61-70
2000 – 2009
- 2009
- [c23]Andrew W. McNabb, Matthew Gardner, Kevin D. Seppi:
An exploration of topologies and communication in large particle swarms. IEEE Congress on Evolutionary Computation 2009: 712-719 - [c22]Neil Toronto, Bryan S. Morse, Kevin D. Seppi, Dan Ventura:
Super-resolution via recapture and Bayesian effect modeling. CVPR 2009: 2388-2395 - 2008
- [j5]Christopher K. Monson, Kevin D. Seppi:
A Graphical Model for Evolutionary Optimization. Evol. Comput. 16(3): 289-313 (2008) - [c21]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: 65-68 - [c20]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 - 2007
- [c19]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: 101-108 - [c18]Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi:
Parallel PSO using MapReduce. IEEE Congress on Evolutionary Computation 2007: 7-14 - [c17]Christopher K. Monson, Kevin D. Seppi, James L. Carroll:
A Utile Function Optimizer. IEEE Congress on Evolutionary Computation 2007: 1067-1074 - [c16]Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi:
MRPSO: MapReduce particle swarm optimization. GECCO 2007: 177 - [c15]Neil Toronto, Bryan S. Morse, Dan Ventura, Kevin D. Seppi:
The Hough Transform's Implicit Bayesian Foundation. ICIP (4) 2007: 377-380 - 2006
- [j4]Kevin D. Seppi, Michael D. Jones, Peter Lamborn:
Guided Model Checking with a Bayesian Meta-heuristic. Fundam. Informaticae 70(1-2): 111-126 (2006) - [j3]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): 19-35 (2006) - [c14]Patrick B. Mullen, Christopher K. Monson, Kevin D. Seppi, Sean C. Warnick:
Particle Swarm Optimization in Dynamic Pricing. IEEE Congress on Evolutionary Computation 2006: 1232-1239 - [c13]Christopher K. Monson, Kevin D. Seppi:
Adaptive diversity in PSO. GECCO 2006: 59-66 - [c12]Nghia Tran, Christophe G. Giraud-Carrier, Kevin D. Seppi, Sean Warnick:
Cooperation-based Clustering for Profit-maximizing Organizational Design. IJCNN 2006: 1813-1817 - 2005
- [j2]David Wingate, Kevin D. Seppi:
Prioritization Methods for Accelerating MDP Solvers. J. Mach. Learn. Res. 6: 851-881 (2005) - [c11]Christopher K. Monson, Kevin D. Seppi:
Linear equality constraints and homomorphous mappings in PSO. Congress on Evolutionary Computation 2005: 73-80 - [c10]Christopher K. Monson, Kevin D. Seppi:
Bayesian optimization models for particle swarms. GECCO 2005: 193-200 - [c9]Christopher K. Monson, Kevin D. Seppi:
Exposing origin-seeking bias in PSO. GECCO 2005: 241-248 - [c8]David Wingate, Nathaniel Powell, Quinn Snell, Kevin D. Seppi:
Prioritized Multiplicative Schwarz Procedures for Solving Linear Systems. IPDPS 2005 - 2004
- [c7]Kevin D. Seppi, Michael D. Jones, Peter Lamborn:
Guided Model Checking with a Bayesian Meta-heuristic. ACSD 2004: 217-226 - [c6]Christopher K. Monson, Kevin D. Seppi:
The Kalman Swarm: A New Approach to Particle Motion in Swarm Optimization. GECCO (1) 2004: 140-150 - [c5]David Wingate, Kevin D. Seppi:
P3VI: a partitioned, prioritized, parallel value iterator. ICML 2004 - [c4]James L. Carroll, Kevin D. Seppi:
A Bayesian technique for task localization in multiple goal Markov decision processes. ICMLA 2004: 49-56 - [c3]Christopher K. Monson, David Wingate, Kevin D. Seppi, Todd S. Peterson:
Variable resolution discretization in the joint space. ICMLA 2004: 449-455 - 2003
- [c2]David Wingate, Kevin D. Seppi:
Efficient Value Iteration Using Partitioned Models. ICMLA 2003: 53-59 - [c1]James L. Carroll, Todd S. Peterson, Kevin D. Seppi:
Reinforcement Learning Task Clustering. ICMLA 2003: 66-72
1990 – 1999
- 1993
- [j1]Kevin D. Seppi, J. Wesley Barnes, Carl N. Morris:
A Bayesian Approach to Database Query Optimization. INFORMS J. Comput. 5(4): 410-419 (1993)
Coauthor Index
Robbie Haertel
aka: Robbie A. Haertel
aka: Robbie A. Haertel
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