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Tara M. Madhyastha
Person information
- affiliation: University of Washington, Seattle, USA
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2020 – today
- 2024
- [j16]John C. Flournoy
, Nessa V. Bryce
A precision neuroscience approach to estimating reliability of neural responses during emotion processing: Implications for task-fMRI. NeuroImage 285: 120503 (2024) - 2020
- [c17]Micah Ketola, Andrea Stocco, Shelby Thompson, Tara M. Madhyastha, Thomas J. Grabowski:
Applying the Common Model of Cognition to Resting-State fMRI Leads to the Identification of Abnormal Functional Connectivity in Parkinson's Disease. CogSci 2020
2010 – 2019
- 2019
- [j15]Kaitlyn Casimo
Spontaneous Variation in Electrocorticographic Resting-State Connectivity. Brain Connect. 9(6): 488-499 (2019) - [j14]Trevor K. McAllister-Day
Effect of Dopaminergic Medications on Blood Oxygen Level-Dependent Variability and Functional Connectivity in Parkinson's Disease and Healthy Aging. Brain Connect. 9(7): 554-565 (2019) - [i2]Trevor K. McAllister-Day
Attention Network Test fMRI data for participants with Parkinson's disease and healthy elderly. F1000Research 8: 780 (2019) - 2018
- [c16]Kin Ming Puk, Wei Xiang, Shouyi Wang, Cao (Danica) Xiao, W. Art Chaovalitwongse, Tara M. Madhyastha, Thomas J. Grabowski:
Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group Lasso. BI 2018: 423-434 - 2017
- [j13]Sijia Wang, Daniel J. Peterson, J. Christopher Gatenby, Wenbin Li, Thomas J. Grabowski, Tara M. Madhyastha:
Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI. Frontiers Neuroinformatics 11: 17 (2017) - [j12]Tara M. Madhyastha, Natalie Koh, Trevor K. McAllister-Day
Running Neuroimaging Applications on Amazon Web Services: How, When, and at What Cost? Frontiers Neuroinformatics 11: 63 (2017) - 2016
- [j11]Mary K. Askren, Trevor K. McAllister-Day
Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality-Assurance. Frontiers Neuroinformatics 10: 2 (2016) - [j10]Benjamin Bach, Conglei Shi
Time Curves: Folding Time to Visualize Patterns of Temporal Evolution in Data. IEEE Trans. Vis. Comput. Graph. 22(1): 559-568 (2016) - 2015
- [j9]Tara M. Madhyastha, Mary K. Askren, Peter Boord, Thomas J. Grabowski:
Dynamic Connectivity at Rest Predicts Attention Task Performance. Brain Connect. 5(1): 45-59 (2015) - [j8]Benjamin Bach, Nathalie Henry Riche, Tim Dwyer
Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic Networks. Comput. Graph. Forum 34(3): 31-40 (2015) - [j7]Franziskus Liem
Reliability and statistical power analysis of cortical and subcortical FreeSurfer metrics in a large sample of healthy elderly. NeuroImage 108: 95-109 (2015) - [i1]Chris Gaiteri, Mingming Chen, Boleslaw K. Szymanski, Konstantin Kuzmin, Jierui Xie, Changkyu Lee, Timothy Blanche, Elias Chaibub Neto, Su-Chun Huang, Thomas J. Grabowski, Tara M. Madhyastha, Vitalina Komashko:
Identifying robust clusters and multi-community nodes by combining top-down and bottom-up approaches to clustering. CoRR abs/1501.04709 (2015) - 2014
- [j6]Tara M. Madhyastha, Thomas J. Grabowski:
Age-Related Differences in the Dynamic Architecture of Intrinsic Networks. Brain Connect. 4(4): 231-241 (2014) - [j5]Hui Yang
Healthcare Intelligence: Turning Data into Knowledge. IEEE Intell. Syst. 29(3): 54-68 (2014) - [c15]Weiwei Cui, Xiting Wang, Shixia Liu
Let It Flow: A Static Method for Exploring Dynamic Graphs. PacificVis 2014: 121-128 - [c14]Nathalie Henry Riche, Yann Riche, Nicolas Roussel, Sheelagh Carpendale, Tara M. Madhyastha, Thomas J. Grabowski:
LinkWave: a visual adjacency list for dynamic weighted networks. IHM 2014: 113-122 - 2010
- [j4]Kathleen Scalise, Tara M. Madhyastha, Jim Minstrell, Mark R. Wilson
Improving assessment evidence in e-learning products: some solutions for reliability. Int. J. Learn. Technol. 5(2): 191-208 (2010)
2000 – 2009
- 2009
- [c13]Tara M. Madhyastha, Steven L. Tanimoto:
Student Consistency and Implications for Feedback in Online Assessment Systems. EDM 2009: 81-90 - 2005
- [j3]Jessica Masters, Tara M. Madhyastha, Ali Shakouri:
Educational Applets for active learning in properties of electronic materials. IEEE Trans. Educ. 48(1): 29-36 (2005) - [c12]Bo Hong, Tara M. Madhyastha, Bing Zhang:
Cluster-based input/output trace synthesis. IPCCC 2005: 91-98 - [c11]Bo Hong, Tara M. Madhyastha:
The Relevance of Long-Range Dependence in Disk Traffic and Implications for Trace Synthesis. MSST 2005: 316-326 - 2003
- [c10]Preethy Vaidyanathan, Tara M. Madhyastha:
Dynamic Replication to Improve Input/Output Scalability of Genomic Alignment. CLADE 2003: 54 - [c9]Ivan Dramaliev, Tara M. Madhyastha:
Optimizing Probe-Based Storage. FAST 2003 - 2002
- [j2]Tara M. Madhyastha, Daniel A. Reed:
Learning to Classify Parallel Input/Output Access Patterns. IEEE Trans. Parallel Distributed Syst. 13(8): 802-813 (2002) - [c8]Mengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou, Christos Faloutsos
Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty Traffic. ICDE 2002: 507-516 - [c7]Miriam Sivan-Zimet, Tara M. Madhyastha:
Workload based optimization of probe-based storage. SIGMETRICS 2002: 256-257 - 2001
- [c6]Tara M. Madhyastha, Katherine Pu Yangy:
Physical Modeling of Probe-Based Storage. MSS 2001: 207-224
1990 – 1999
- 1999
- [c5]Tara M. Madhyastha, Garth A. Gibson, Christos Faloutsos
Informed Prefetching of Collective Input/Output Requests. SC 1999: 13 - 1997
- [b1]Tara M. Madhyastha:
Automatic Classification of Input/output Access Patterns. University of Illinois Urbana-Champaign, USA, 1997 - [c4]Tara M. Madhyastha, Daniel A. Reed:
Input/Output Access Pattern Classification Using Hidden Markov Models. IOPADS 1997: 57-67 - [c3]Tara M. Madhyastha, Daniel A. Reed:
Exploiting Global Input Output Access Pattern Classification. SC 1997: 9 - 1996
- [c2]Daniel A. Reed, Christopher L. Elford, Tara M. Madhyastha, Evgenia Smirni, Stephen E. Lamm:
The Next Frontier: Interactive and Closed Loop Performance Steering. ICPP Workshop 1996: 20-31 - [c1]Daniel A. Reed, Tara M. Madhyastha, Ruth A. Aydt, Christopher L. Elford, Will H. Scullin, Evgenia Smirni:
I/O, Performance Analysis, and Performance Data Immersion. MASCOTS 1996: 5-15 - 1995
- [j1]Tara M. Madhyastha, Daniel A. Reed:
Data Sonification: Do You See What I Hear? IEEE Softw. 12(2): 45-56 (1995)
Coauthor Index
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