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ORCIDKay A. Robbins
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- affiliation: University of Texas at San Antonio, USA
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2020 – today
- 2024
[j24]Scott Makeig, Kay Robbins:
Events in context - The HED framework for the study of brain, experience and behavior. Frontiers Neuroinformatics 18 (2024)- 2023
- [j23]Kay Robbins
, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig:
Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). Neuroinformatics 21(3): 631 (2023) - 2022
- [j22]Kay Robbins, Dung Truong, Alexander Jones, Ian Callanan, Scott Makeig:
Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). Neuroinformatics 20(2): 463-481 (2022) - 2021
- [j21]Kay Robbins, Dung Truong, Stefan Appelhoff, Arnaud Delorme, Scott Makeig:
Capturing the nature of events and event context using hierarchical event descriptors (HED). NeuroImage 245: 118766 (2021) - 2020
- [j20]Nima Bigdely Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim R. Mullen, Kay Robbins:
Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. NeuroImage 207 (2020) - [j19]Nima Bigdely Shamlo, Jonathan Touryan, Alejandro Ojeda, Christian Kothe, Tim R. Mullen, Kay Robbins:
Automated EEG mega-analysis II: Cognitive aspects of event related features. NeuroImage 207 (2020)
2010 – 2019
- 2018
- [c38]Jeffrey Mock, John Myers, Farzan Irani, Kay Robbins, Edward J. Golob:
Single-Trial Classification of Disfluent Brain States in Adults Who Stutter. SMC 2018: 57-62 - 2017
- [j18]Kenneth Ball, W. David Hairston, Piotr J. Franaszczuk, Kay A. Robbins:
BLASST: Band Limited Atomic Sampling With Spectral Tuning With Applications to Utility Line Noise Filtering. IEEE Trans. Biomed. Eng. 64(9): 2276-2287 (2017) - 2016
- [j17]Kenneth Ball, Nima Bigdely Shamlo, Tim R. Mullen, Kay Robbins:
PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG. Comput. Intell. Neurosci. 2016: 9754813:1-9754813:20 (2016) - [j16]Nima Bigdely Shamlo, Scott Makeig, Kay A. Robbins:
Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach. Frontiers Neuroinformatics 10: 7 (2016) - [j15]Nima Bigdely Shamlo, Jeremy Cockfield, Scott Makeig, Thomas Rognon, Chris La Valle, Makoto Miyakoshi, Kay A. Robbins:
Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG. Frontiers Neuroinformatics 10: 42 (2016) - [c37]Kyungmin Su, W. David Hairston, Kay A. Robbins:
Adaptive Thresholding and Reweighting to Improve Domain Transfer Learning for Unbalanced Data with Applications to EEG Imbalance. ICMLA 2016: 320-325 - 2015
- [j14]Nima Bigdely Shamlo, Tim R. Mullen, Christian Kothe, Kyungmin Su, Kay A. Robbins:
The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers Neuroinformatics 9: 16 (2015) - 2014
- [j13]Timothy T. Yuen, Kay A. Robbins:
A Qualitative Study of Students' Computational Thinking Skills in a Data-Driven Computing Class. ACM Trans. Comput. Educ. 14(4): 27:1-27:19 (2014) - [j12]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Classification of Imperfectly Time-Locked Image RSVP Events with EEG Device. Neuroinformatics 12(2): 261-275 (2014) - [c36]Zijing Mao, Vernon Lawhern, Lenis Mauricio Merino, Kenneth Ball, Li Deng, Brent J. Lance, Kay Robbins, Yufei Huang:
Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. ChinaSIP 2014: 520-524 - 2013
- [j11]Jeremy Cockfield, Kyungmin Su, Kay A. Robbins:
MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB. Frontiers Neuroinformatics 7: 20 (2013) - [c35]Nima Bigdely Shamlo, Kenneth Kreutz-Delgado, Kay Robbins, Makoto Miyakoshi, Marissa Westerfield, Tarik Bel-Bahar, Christian Kothe, Jessica Hsi, Scott Makeig:
Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies. GlobalSIP 2013: 1-4 - [c34]Thomas Rognon, Rebecca Strautman, Lauren Jett, Nima Bigdely Shamlo, Scott Makeig, Tony Johnson, Kay Robbins:
CTAGGER: Semi-structured community tagging for annotation and data-mining in event-rich contexts. GlobalSIP 2013: 5-8 - [c33]Kyungmin Su, Kay A. Robbins:
Content-based EEG database retrieval using a multiclass SVM classifier. GlobalSIP 2013: 17-20 - [c32]Shaheen Ahmed, Lenis Mauricio Merino, Zijing Mao, Jia Meng, Kay Robbins, Yufei Huang:
A Deep Learning method for classification of images RSVP events with EEG data. GlobalSIP 2013: 33-36 - [c31]Vernon Lawhern, W. David Hairston, Kay Robbins:
Optimal Feature Selection for Artifact Classification in EEG Time Series. HCI (24) 2013: 326-334 - [c30]Lenis Mauricio Merino, Jia Meng, Stephen M. Gordon, Brent J. Lance, Tony Johnson, Victor Paul, Kay Robbins, Jean M. Vettel, Yufei Huang:
A bag-of-words model for task-load prediction from EEG in complex environments. ICASSP 2013: 1227-1231 - [c29]Kyungmin Su, Kay A. Robbins:
A framework for content-based retrieval of EEG with applications to neuroscience and beyond. IJCNN 2013: 1-8 - 2012
- [j10]Kay A. Robbins:
EEGVIS: A MATLAB Toolbox for Browsing, Exploring, and Viewing Large Datasets. Frontiers Neuroinformatics 6: 17 (2012) - [c28]Kyungmin Su, Kay A. Robbins:
Subject specific parameter selection for the EEG classifier using common spatial patterns. RACS 2012: 68-69 - [c27]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Classification of EEG recordings without perfectly time-locked events. SSP 2012: 444-447 - [c26]Jia Meng, Lenis Mauricio Merino, Kay Robbins, Yufei Huang:
Exploiting correlated discriminant features in time frequency and space for characterization and robust classification of image RSVP events with EEG data. SSP 2012: 668-671 - 2011
- [c25]Dragana Veljkovic Perez, Kay A. Robbins:
Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss. MLDM 2011: 320-334 - [c24]Kay A. Robbins, David M. Senseman, Priscilla Elizabeth Pate:
Teaching biologists to compute using data visualization. SIGCSE 2011: 335-340 - 2010
- [j9]Mark Doderer, Kihoon Yoon, Kay A. Robbins:
SIDEKICK: Genomic data driven analysis and decision-making framework. BMC Bioinform. 11: 611 (2010)
2000 – 2009
- 2008
- [c23]Dragana Veljkovic, Kay A. Robbins:
Force Feature Spaces for Visualization and Classification. ICMLA 2008: 426-433 - 2007
- [c22]Dragana Veljkovic, Kay A. Robbins, Doug Rubino, Nicholas G. Hatsopoulos:
Exploring and Organizing Spatiotemporal Features such as Waves in High Throughput Brain Recordings by Lifting to Feature Space. BIBM 2007: 125-134 - [c21]Kenneth L. Holladay, Kay Robbins, Jeffery von Ronne:
FIFTHTM: A Stack Based GP Language for Vector Processing. EuroGP 2007: 102-113 - [c20]Kenneth L. Holladay, Kay A. Robbins:
Evolution of Signal Processing Algorithms using Vector Based Genetic Programming. DSP 2007: 503-506 - [c19]Dragana Veljkovic, Kay A. Robbins, Doug Rubino, Nicholas G. Hatsopoulos:
Extension of Mutual Subspace Method for Low Dimensional Feature Projection. ICIP (2) 2007: 449-452 - 2006
- [c18]Kay A. Robbins, Dragana Veljkovic, Egle Pilipaviciute:
Visualizing brain rhythms and synchrony. Visualization and Data Analysis 2006: 60600U - 2005
- [c17]Kay A. Robbins, Li Zhao:
Visualization of Logic Analysis of Phylogenetic Profiles (LAPP). CSB Workshops 2005: 275-276 - [c16]Mark A. Robinson, Kay A. Robbins:
Toward perceptual enhancement of multiple intersecting surfaces. Visualization and Data Analysis 2005: 339-349 - 2004
- [j8]Kay A. Robbins, David M. Senseman:
Extracting Wave Structure from Biological Data with Application to Responses in Turtle Visual Cortex. J. Comput. Neurosci. 16(3): 267-298 (2004) - [c15]Kay A. Robbins, Igor Grinshpan, Kevin Allen, David M. Senseman:
Synchronized views for exploring populations of neurons. Visualization and Data Analysis 2004: 235-245 - [c14]Kay A. Robbins, Mark A. Robinson, David M. Senseman:
Visualizing Cortical Waves and Timing from Data. IEEE Visualization 2004: 401-408 - 2003
- [j7]Kay A. Robbins, David M. Senseman:
Using derivatives to compare cortical waves across preparations. Neurocomputing 52-54: 885-891 (2003) - 2002
- [j6]Sandra G. Dykes, Kay A. Robbins:
Limitations and benefits of cooperative proxy caching. IEEE J. Sel. Areas Commun. 20(7): 1290-1304 (2002) - [c13]Kay A. Robbins, Catherine Sauls Key, Keith Dickinson:
Integrating a simulation case study into CS2: developing design, empirical and analysis skills. SIGCSE 2002: 391-395 - 2001
- [c12]Sandra G. Dykes, Kay A. Robbins:
A Viability Analysis of Cooperative Proxy Caching. INFOCOM 2001: 1205-1214 - [c11]Kay A. Robbins, Catherine Sauls Key, Keith Dickinson, John Montgomery:
Solving the CS1/CS2 lab dilemma: students as presenters in CS1/CS2 laboratories. SIGCSE 2001: 164-168 - 2000
- [j5]Kay A. Robbins, Clinton L. Jeffery, Steven Robbins:
Visualization of Splitting and Merging Processes. J. Vis. Lang. Comput. 11(6): 593-614 (2000) - [c10]Sandra G. Dykes, Kay A. Robbins, Clinton L. Jeffery:
An Empirical Evaluation of Client-Side Server Selection Algorithms. INFOCOM 2000: 1361-1370 - [c9]Kay A. Robbins, Michael Gorman:
Fast visualization methods for comparing dynamics: a case study in combustion. IEEE Visualization 2000: 433-436
1990 – 1999
- 1999
- [c8]Steven Robbins, Kay A. Robbins:
Empirical exploration in undergraduate operating systems. SIGCSE 1999: 311-315 - 1998
- [j4]Kay A. Robbins:
Visualization of Scientific Video Data Using KL Decomposition. IEEE Trans. Vis. Comput. Graph. 4(4): 330-343 (1998) - [c7]Kay A. Robbins, Steven Robbins:
Web-based dynamic information visualization using exact-time animation. SAC 1998: 744-751 - [c6]Kay A. Robbins, David M. Senseman:
Visualizing differences in movies of cortical activity. IEEE Visualization 1998: 217-224 - 1997
- [c5]Kay A. Robbins:
Exact Time and Near-Realtime Visualization for the Experimentalist. Workshop on New Paradigms in Information Visualization and Manipulation 1997: 66-68 - 1996
- [c4]N. R. Tummala, Kay A. Robbins:
VISTA: A Configurable Visualization and Simulation Tool for ATM Switches. MASCOTS 1996: 223-226 - 1995
- [j3]Kay A. Robbins, Steven Robbins:
Buffered Banks in Multiprocessor Systems. IEEE Trans. Computers 44(4): 518-530 (1995) - 1994
- [j2]Kay A. Robbins, Steven Robbins:
Relationship between average and real memory behavior. J. Supercomput. 8(3): 209-232 (1994) - 1993
- [c3]Richard Rybacki, Kay A. Robbins, Steven Robbins:
Ethercom: a studyof audio processes and synchronization. SIGCSE 1993: 218-222 - 1992
- [c2]Kay A. Robbins, Steven Robbins:
Dynamic Behavior of Memory Reference Streams for the Perfect Club Benchmarks. ICPP (1) 1992: 48-52 - 1991
- [c1]Kay A. Robbins, Steven Robbins:
Bus Conflicts for Logical Memory Banks on a Cray Y-MP Type Processor System. ICPP (1) 1991: 21-24
1980 – 1989
- 1989
- [b1]Kay A. Robbins, Steven Robbins:
The Cray X-MP/Model 24, A Case Study in Pipelined Architecture and Vector Processing. Lecture Notes in Computer Science 374, Springer 1989, ISBN 3-540-97089-4 - [j1]Kay A. Robbins, Neal R. Wagner, Dennis J. Wenzel:
Virtual rings: an introduction to concurrency. ACM SIGCSE Bull. 21(2): 23-28 (1989)
Coauthor Index
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last updated on 2024-09-13 01:36 CEST by the dblp team
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