The Cray X-MP/Model 24, A Case Study in Pipelined Architecture and Vector Processing - Kay A. Robbins; Steven Robbins (Springer, 1989)

Virtual rings: an introduction to concurrency. - Kay A. Robbins; Neal R. Wagner; Dennis J. Wenzel (ACM SIGCSE Bull., 1989)

Bus Conflicts for Logical Memory Banks on a Cray Y-MP Type Processor System. - Kay A. Robbins; Steven Robbins (ICPP (1), 1991)

Dynamic Behavior of Memory Reference Streams for the Perfect Club Benchmarks. - Kay A. Robbins; Steven Robbins (ICPP (1), 1992)

Ethercom: a studyof audio processes and synchronization. - Richard Rybacki; Kay A. Robbins; Steven Robbins (SIGCSE, 1993)

Relationship between average and real memory behavior. - Kay A. Robbins; Steven Robbins (J. Supercomput., 1994)

Buffered Banks in Multiprocessor Systems. - Kay A. Robbins; Steven Robbins (IEEE Trans. Computers, 1995)

VISTA: A Configurable Visualization and Simulation Tool for ATM Switches. - N. R. Tummala; Kay A. Robbins (MASCOTS, 1996)

Exact Time and Near-Realtime Visualization for the Experimentalist. - Kay A. Robbins (Workshop on New Paradigms in Information Visualization and Manipulation, 1997)

Web-based dynamic information visualization using exact-time animation. - Kay A. Robbins; Steven Robbins (SAC, 1998)

Visualizing differences in movies of cortical activity. - Kay A. Robbins; David M. Senseman (IEEE Visualization, 1998)

Visualization of Scientific Video Data Using KL Decomposition. - Kay A. Robbins (IEEE Trans. Vis. Comput. Graph., 1998)

Empirical exploration in undergraduate operating systems. - Steven Robbins; Kay A. Robbins (SIGCSE, 1999)

An Empirical Evaluation of Client-Side Server Selection Algorithms. - Sandra G. Dykes; Kay A. Robbins; Clinton L. Jeffery (INFOCOM, 2000)

Fast visualization methods for comparing dynamics: a case study in combustion. - Kay A. Robbins; Michael Gorman (IEEE Visualization, 2000)

Visualization of Splitting and Merging Processes. - Kay A. Robbins; Clinton L. Jeffery; Steven Robbins (J. Vis. Lang. Comput., 2000)

A Viability Analysis of Cooperative Proxy Caching. - Sandra G. Dykes; Kay A. Robbins (INFOCOM, 2001)

Solving the CS1/CS2 lab dilemma: students as presenters in CS1/CS2 laboratories. - Kay A. Robbins; Catherine Sauls Key; Keith Dickinson; John Montgomery (SIGCSE, 2001)

Integrating a simulation case study into CS2: developing design, empirical and analysis skills. - Kay A. Robbins; Catherine Sauls Key; Keith Dickinson (SIGCSE, 2002)

Limitations and benefits of cooperative proxy caching. - Sandra G. Dykes; Kay A. Robbins (IEEE J. Sel. Areas Commun., 2002)

Using derivatives to compare cortical waves across preparations. - Kay A. Robbins; David M. Senseman (Neurocomputing, 2003)

Synchronized views for exploring populations of neurons. - Kay A. Robbins; Igor Grinshpan; Kevin Allen; David M. Senseman (Visualization and Data Analysis, 2004)

Visualizing Cortical Waves and Timing from Data. - Kay A. Robbins; Mark A. Robinson; David M. Senseman (IEEE Visualization, 2004)

Extracting Wave Structure from Biological Data with Application to Responses in Turtle Visual Cortex. - Kay A. Robbins; David M. Senseman (J. Comput. Neurosci., 2004)

Visualization of Logic Analysis of Phylogenetic Profiles (LAPP). - Kay A. Robbins; Li Zhao (CSB Workshops, 2005)

Toward perceptual enhancement of multiple intersecting surfaces. - Mark A. Robinson; Kay A. Robbins (Visualization and Data Analysis, 2005)

Visualizing brain rhythms and synchrony. - Kay A. Robbins; Dragana Veljkovic; Egle Pilipaviciute (Visualization and Data Analysis, 2006)

Exploring and Organizing Spatiotemporal Features such as Waves in High Throughput Brain Recordings by Lifting to Feature Space. - Dragana Veljkovic; Kay A. Robbins; Doug Rubino; Nicholas G. Hatsopoulos (BIBM, 2007)

FIFTHTM: A Stack Based GP Language for Vector Processing. - Kenneth L. Holladay; Kay Robbins; Jeffery von Ronne (EuroGP, 2007)

Evolution of Signal Processing Algorithms using Vector Based Genetic Programming. - Kenneth L. Holladay; Kay A. Robbins (DSP, 2007)

Extension of Mutual Subspace Method for Low Dimensional Feature Projection. - Dragana Veljkovic; Kay A. Robbins; Doug Rubino; Nicholas G. Hatsopoulos (ICIP (2), 2007)

Force Feature Spaces for Visualization and Classification. - Dragana Veljkovic; Kay A. Robbins (ICMLA, 2008)

SIDEKICK: Genomic data driven analysis and decision-making framework. - Mark Doderer; Kihoon Yoon; Kay A. Robbins (BMC Bioinform., 2010)

Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss. - Dragana Veljkovic Perez; Kay A. Robbins (MLDM, 2011)

Teaching biologists to compute using data visualization. - Kay A. Robbins; David M. Senseman; Priscilla Elizabeth Pate (SIGCSE, 2011)

Subject specific parameter selection for the EEG classifier using common spatial patterns. - Kyungmin Su; Kay A. Robbins (RACS, 2012)

Classification of EEG recordings without perfectly time-locked events. - Jia Meng 001; Lenis Mauricio Merino; Kay Robbins; Yufei Huang 001 (SSP, 2012)

Exploiting correlated discriminant features in time frequency and space for characterization and robust classification of image RSVP events with EEG data. - Jia Meng 001; Lenis Mauricio Merino; Kay Robbins; Yufei Huang 001 (SSP, 2012)

EEGVIS: A MATLAB Toolbox for Browsing, Exploring, and Viewing Large Datasets. - Kay A. Robbins (Frontiers Neuroinformatics, 2012)

A Deep Learning method for classification of images RSVP events with EEG data. - Shaheen Ahmed; Lenis Mauricio Merino; Zijing Mao; Jia Meng 001; Kay Robbins; Yufei Huang 001 (GlobalSIP, 2013)

CTAGGER: Semi-structured community tagging for annotation and data-mining in event-rich contexts. - Thomas Rognon; Rebecca Strautman; Lauren Jett; Nima Bigdely Shamlo; Scott Makeig; Tony Johnson; Kay Robbins (GlobalSIP, 2013)

Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies. - Nima Bigdely Shamlo; Kenneth Kreutz-Delgado; Kay Robbins; Makoto Miyakoshi; Marissa Westerfield; Tarik Bel-Bahar; Christian Kothe; Jessica Hsi; Scott Makeig (GlobalSIP, 2013)

Content-based EEG database retrieval using a multiclass SVM classifier. - Kyungmin Su; Kay A. Robbins (GlobalSIP, 2013)

Optimal Feature Selection for Artifact Classification in EEG Time Series. - Vernon Lawhern; W. David Hairston; Kay Robbins (HCI (24), 2013)

A bag-of-words model for task-load prediction from EEG in complex environments. - Lenis Mauricio Merino; Jia Meng 001; Stephen M. Gordon; Brent J. Lance; Tony Johnson; Victor Paul; Kay Robbins; Jean M. Vettel; Yufei Huang 001 (ICASSP, 2013)

A framework for content-based retrieval of EEG with applications to neuroscience and beyond. - Kyungmin Su; Kay A. Robbins (IJCNN, 2013)

MOBBED: a computational data infrastructure for handling large collections of event-rich time series datasets in MATLAB. - Jeremy Cockfield; Kyungmin Su; Kay A. Robbins (Frontiers Neuroinformatics, 2013)

Classification of non-time-locked rapid serial visual presentation events for brain-computer interaction using deep learning. - Zijing Mao; Vernon Lawhern; Lenis Mauricio Merino; Kenneth Ball; Li Deng; Brent J. Lance; Kay Robbins; Yufei Huang 001 (ChinaSIP, 2014)

A Qualitative Study of Students' Computational Thinking Skills in a Data-Driven Computing Class. - Timothy T. Yuen; Kay A. Robbins (ACM Trans. Comput. Educ., 2014)

Classification of Imperfectly Time-Locked Image RSVP Events with EEG Device. - Jia Meng 001; Lenis Mauricio Merino; Kay Robbins; Yufei Huang 001 (Neuroinformatics, 2014)

The PREP pipeline: standardized preprocessing for large-scale EEG analysis. - Nima Bigdely Shamlo; Tim R. Mullen; Christian Kothe; Kyungmin Su; Kay A. Robbins (Frontiers Neuroinformatics, 2015)

Adaptive Thresholding and Reweighting to Improve Domain Transfer Learning for Unbalanced Data with Applications to EEG Imbalance. - Kyungmin Su; W. David Hairston; Kay A. Robbins (ICMLA, 2016)

PWC-ICA: A Method for Stationary Ordered Blind Source Separation with Application to EEG. - Kenneth Ball; Nima Bigdely Shamlo; Tim R. Mullen; Kay Robbins (Comput. Intell. Neurosci., 2016)

Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG. - Nima Bigdely Shamlo; Jeremy Cockfield; Scott Makeig; Thomas Rognon; Chris La Valle; Makoto Miyakoshi; Kay A. Robbins (Frontiers Neuroinformatics, 2016)

Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach. - Nima Bigdely Shamlo; Scott Makeig; Kay A. Robbins (Frontiers Neuroinformatics, 2016)

BLASST: Band Limited Atomic Sampling With Spectral Tuning With Applications to Utility Line Noise Filtering. - Kenneth Ball; W. David Hairston; Piotr J. Franaszczuk; Kay A. Robbins (IEEE Trans. Biomed. Eng., 2017)

Single-Trial Classification of Disfluent Brain States in Adults Who Stutter. - Jeffrey Mock; John Myers; Farzan Irani; Kay Robbins; Edward J. Golob (SMC, 2018)

Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies. - Nima Bigdely Shamlo; Jonathan Touryan; Alejandro Ojeda; Christian Kothe; Tim R. Mullen; Kay Robbins (NeuroImage, 2020)

Automated EEG mega-analysis II: Cognitive aspects of event related features. - Nima Bigdely Shamlo; Jonathan Touryan; Alejandro Ojeda; Christian Kothe; Tim R. Mullen; Kay Robbins (NeuroImage, 2020)

Capturing the nature of events and event context using hierarchical event descriptors (HED). - Kay Robbins; Dung Truong; Stefan Appelhoff; Arnaud Delorme; Scott Makeig (NeuroImage, 2021)

Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). - Kay Robbins; Dung Truong; Alexander Jones; Ian Callanan; Scott Makeig (Neuroinformatics, 2022)

Correction to: Building FAIR Functionality: Annotating Events in Time Series Data Using Hierarchical Event Descriptors (HED). - Kay Robbins; Dung Truong; Alexander Jones; Ian Callanan; Scott Makeig (Neuroinformatics, 2023)

bids-specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2023)

Events in context - The HED framework for the study of brain, experience and behavior. - Scott Makeig; Kay Robbins (Frontiers Neuroinformatics, 2024)

The Brain Imaging Data Structure (BIDS) Specification. - Aaron Oliver-Taylor; Adam Li; Adam G. Thomas; Adeen Flinker; Adina S. Wagner; Agah Karakuzu; Aki Nikolaidis; Alberto Lazari; Alejandro de la Vega; Alessio Giacomel; Alexander Rockhill; Alexander Jones; et al. (Zenodo, 2024)