Tara M. Madhyastha - researchr alias

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Viewing Publication 1 - 34 from 34

2024

A precision neuroscience approach to estimating reliability of neural responses during emotion processing: Implications for task-fMRIJohn C. Flournoy, Nessa V. Bryce, Meg Dennison, Alexandra M. Rodman, Elizabeth A. McNeilly, Lucy A. Lurie, Debbie Bitran, Azure Reid-Russell, Constanza M. Vidal Bustamante, Tara M. Madhyastha, Katie A. McLaughlin. neuroimage, 285:120503, January 2024. [doi]

2020

Applying the Common Model of Cognition to Resting-State fMRI Leads to the Identification of Abnormal Functional Connectivity in Parkinson's DiseaseMicah Ketola, Andrea Stocco 0002, Shelby Thompson, Tara M. Madhyastha, Thomas J. Grabowski. cogsci 2020: [doi]

2019

2018

Uncovering Dynamic Functional Connectivity of Parkinson's Disease Using Topological Features and Sparse Group LassoKin Ming Puk, Wei Xiang, Shouyi Wang, Cao (Danica) Xiao, W. Art Chaovalitwongse, Tara M. Madhyastha, Thomas J. Grabowski. brain 2018: 423-434 [doi]

2017

2016

2015

Small MultiPiles: Piling Time to Explore Temporal Patterns in Dynamic NetworksBenjamin Bach, Nathalie Henry Riche, Tim Dwyer, Tara M. Madhyastha, Jean-Daniel Fekete, Thomas J. Grabowski. cgf, 34(3):31-40, 2015. [doi]

Dynamic Connectivity at Rest Predicts Attention Task PerformanceTara M. Madhyastha, Mary K. Askren, Peter Boord, Thomas J. Grabowski. brain, 5(1):45-59, 2015. [doi]

2014

Let It Flow: A Static Method for Exploring Dynamic GraphsWeiwei Cui, Xiting Wang, Shixia Liu, Nathalie Henry Riche, Tara M. Madhyastha, Kwan-Liu Ma, Baining Guo. apvis 2014: 121-128 [doi]

Age-Related Differences in the Dynamic Architecture of Intrinsic NetworksTara M. Madhyastha, Thomas J. Grabowski. brain, 4(4):231-241, 2014. [doi]

LinkWave: a visual adjacency list for dynamic weighted networksNathalie Henry Riche, Yann Riche, Nicolas Roussel, Sheelagh Carpendale, Tara M. Madhyastha, Thomas J. Grabowski. ihm 2014: 113-122 [doi]

2010

Improving assessment evidence in e-learning products: some solutions for reliabilityKathleen Scalise, Tara M. Madhyastha, Jim Minstrell, Mark Wilson. ijlt, 5(2):191-208, 2010. [doi]

2009

Student Consistency and Implications for Feedback in Online Assessment SystemsTara M. Madhyastha, Steven L. Tanimoto. edm 2009: 81-90 [doi]

2005

The Relevance of Long-Range Dependence in Disk Traffic and Implications for Trace SynthesisBo Hong, Tara M. Madhyastha. mss 2005: 316-326 [doi]

Cluster-based input/output trace synthesisBo Hong, Tara M. Madhyastha, B. Zhang. ipccc 2005: 91-98 [doi]

Educational Applets for active learning in properties of electronic materialsJessica Masters, Tara M. Madhyastha, Ali Shakouri. te, 48(1):29-36, 2005. [doi]

2003

Optimizing Probe-Based StorageIvan Dramaliev, Tara M. Madhyastha. FAST 2003: [doi]

Dynamic Replication to Improve Input/Output Scalability of Genomic AlignmentPreethy Vaidyanathan, Tara M. Madhyastha. clade 2003: 54 [doi]

2002

Learning to Classify Parallel Input/Output Access PatternsTara M. Madhyastha, Daniel A. Reed. tpds, 13(8):802-813, 2002. [doi]

Workload based optimization of probe-based storageMiriam Sivan-Zimet, Tara M. Madhyastha. sigmetrics 2002: 256-257 [doi]

Data Mining Meets Performance Evaluation: Fast Algorithms for Modeling Bursty TrafficMengzhi Wang, Ngai Hang Chan, Spiros Papadimitriou, Christos Faloutsos, Tara M. Madhyastha. icde 2002: 507-516 [doi]

2001

Physical Modeling of Probe-Based StorageTara M. Madhyastha, Katherine Pu Yangy. mss 2001: 207-224 [doi]

1999

Informed Prefetching of Collective Input/Output RequestsTara M. Madhyastha, Garth A. Gibson, Christos Faloutsos. sc 1999: 13 [doi]

1997

Automatic Classification of Input/output Access PatternsTara M. Madhyastha. PhD thesis, University of Illinois Urbana-Champaign, USA, 1997. [doi]

Input/Output Access Pattern Classification Using Hidden Markov ModelsTara M. Madhyastha, Daniel A. Reed. iopads 1997: 57-67 [doi]

Exploiting Global Input Output Access Pattern ClassificationTara M. Madhyastha, Daniel A. Reed. sc 1997: 9 [doi]

1996

I/O, Performance Analysis, and Performance Data ImmersionDaniel A. Reed, Tara M. Madhyastha, Ruth A. Aydt, Christopher L. Elford, Will H. Scullin, Evgenia Smirni. mascots 1996: 5-15

The Next Frontier: Interactive and Closed Loop Performance SteeringDaniel A. Reed, Christopher L. Elford, Tara M. Madhyastha, Evgenia Smirni, Stephen E. Lamm. icpp 1996: 20-31

1995

Data Sonification: Do You See What I Hear?Tara M. Madhyastha, Daniel A. Reed. IEEE Software, 12(2):45-56, 1995. [doi]

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