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ORCIDMark A. Kramer
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2020 – today
- 2024
[i2]Mark A. Kramer, Allen Leavens, Alexander Scarlat:
Harnessing AI for efficient analysis of complex policy documents: a case study of Executive Order 14110. CoRR abs/2406.06657 (2024)- 2023
- [j21]Xiaojing Zhu
, Heather Shappell, Mark A. Kramer, Catherine Jean Chu, Eric D. Kolaczyk:
Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures. PLoS Comput. Biol. 19(6) (2023) - 2022
- [c6]Mark A. Kramer:
Reducing FHIR "Profiliferation": A Data-Driven Approach. AMIA 2022
2010 – 2019
- 2018
- [j20]Laura R. González-Ramírez, Mark A. Kramer:
The effect of inhibition on the existence of traveling wave solutions for a neural field model of human seizure termination. J. Comput. Neurosci. 44(3): 393-409 (2018) - [j19]Jacob Østergaard, Mark A. Kramer, Uri T. Eden:
Capturing Spike Variability in Noisy Izhikevich Neurons Using Point Process Generalized Linear Models. Neural Comput. 30(1) (2018) - 2017
- [c5]Xinyu Kang, Piotr Fryzlewicz, Catherine Jean Chu, Mark A. Kramer, Eric D. Kolaczyk:
Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience. ACSSC 2017: 1549-1554 - 2015
- [j18]Catherine Jean Chu, Naoaki Tanaka, J. Diaz, Brian L. Edlow, Ona Wu, Matti S. Hämäläinen, Steven M. Stufflebeam, Sydney S. Cash, Mark A. Kramer:
EEG functional connectivity is partially predicted by underlying white matter connectivity. NeuroImage 108: 23-33 (2015) - [j17]Laura R. González-Ramírez, Omar J. Ahmed, Sydney S. Cash, C. Eugene Wayne, Mark A. Kramer:
A Biologically Constrained, Mathematical Model of Cortical Wave Propagation Preceding Seizure Termination. PLoS Comput. Biol. 11(2) (2015) - 2014
- [j16]Emily Patricia Stephen, Kyle Q. Lepage, Uri T. Eden, Peter Brunner, Gerwin Schalk, Jonathan S. Brumberg, Frank H. Guenther, Mark A. Kramer:
Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Frontiers Comput. Neurosci. 8: 31 (2014) - 2013
- [j15]Kyle Q. Lepage, ShiNung Ching, Mark A. Kramer:
Inferring evoked brain connectivity through adaptive perturbation. J. Comput. Neurosci. 34(2): 303-318 (2013) - [j14]Kyle Q. Lepage, Mark A. Kramer, Uri T. Eden:
Some Sampling Properties of Common Phase Estimators. Neural Comput. 25(4): 901-921 (2013) - [j13]Felipe Gerhard, Tilman Kispersky, Gabrielle J. Gutierrez, Eve Marder, Mark A. Kramer, Uri T. Eden:
Successful Reconstruction of a Physiological Circuit with Known Connectivity from Spiking Activity Alone. PLoS Comput. Biol. 9(7) (2013) - [c4]Kyle Q. Lepage, Mark A. Kramer, ShiNung Ching:
An active method for tracking connectivity in temporally changing brain networks. EMBC 2013: 4374-4377 - [i1]Carlos Rojas-Guzmán, Mark A. Kramer:
GALGO: A Genetic ALGOrithm Decision Support Tool for Complex Uncertain Systems Modeled with Bayesian Belief Networks. CoRR abs/1303.1498 (2013) - 2011
- [j12]Kyle Q. Lepage, Mark A. Kramer, Uri T. Eden:
The Dependence of Spike Field Coherence on Expected Intensity. Neural Comput. 23(9): 2209-2241 (2011)
2000 – 2009
- 2008
- [j11]Mark A. Kramer, Anita K. Roopun, Lucy M. Carracedo, Roger D. Traub, Miles A. Whittington, Nancy Kopell:
Rhythm Generation through Period Concatenation in Rat Somatosensory Cortex. PLoS Comput. Biol. 4(9) (2008) - 2007
- [j10]Mark A. Kramer, Fen-Lei Chang, Maurice E. Cohen, Donna L. Hudson, Andrew J. Szeri:
Synchronization Measures of the Scalp Electroencephalogram Can Discriminate Healthy from Alzheimer's Subjects. Int. J. Neural Syst. 17(2): 61-69 (2007) - [j9]Mark A. Kramer, Andrew J. Szeri, James W. Sleigh, Heidi E. Kirsch:
Mechanisms of seizure propagation in a cortical model. J. Comput. Neurosci. 22(1): 63-80 (2007) - [c3]Mark A. Kramer:
Self-Selection Bias in Reputation Systems. IFIPTM 2007: 255-268 - 2004
- [j8]Mark A. Kramer, Andrew J. Szeri:
Quantitative approximation of the cortical surface potential from EEG and ECoG measurements. IEEE Trans. Biomed. Eng. 51(8): 1358-1365 (2004)
1990 – 1999
- 1996
- [j7]Carlos Rojas-Guzmán, Mark A. Kramer:
An Evolutionary Computing Approach to Probabilistic Reasoning on Bayesian Networks. Evol. Comput. 4(1): 57-85 (1996) - 1993
- [j6]James A. Leonard, Mark A. Kramer:
Diagnosing Dynamic Faults Using Modular Neural Nets. IEEE Expert 8(2): 44-53 (1993) - [c2]Carlos Rojas-Guzmán, Mark A. Kramer:
GALGO: A Genetic ALGOrithm Decision Support Tool for Complex Uncertain Systems Modeled with Bayesian Belief Networks. UAI 1993: 368-375 - 1992
- [j5]Mark A. Kramer:
Reply to Sacks and Doyle's, Prolegomena to Any Future Qualitative Physics. Comput. Intell. 8: 284-285 (1992) - [j4]James A. Leonard, Mark A. Kramer, Lyle H. Ungar:
Using radial basis functions to approximate a function and its error bounds. IEEE Trans. Neural Networks 3(4): 624-627 (1992) - 1991
- [j3]James K. McDowell, Mark A. Kramer, James F. Davis:
Guest Editor's Introduction. IEEE Expert 6(3): 65-66 (1991) - [c1]Philippe Rose, Mark A. Kramer:
Qualitative Analysis of Causal Feedback. AAAI 1991: 817-823
1980 – 1989
- 1988
- [j2]Jorge R. Leis, Mark A. Kramer:
The simultaneous solution and sensitivity analysis of systems described by ordinary differential equations. ACM Trans. Math. Softw. 14(1): 45-60 (1988) - [j1]Jorge R. Leis, Mark A. Kramer:
Algorithm 658: ODESSA-an ordinary differential equation solver with explicit simultaneous sensitivity analysis. ACM Trans. Math. Softw. 14(1): 61-67 (1988)
Coauthor Index
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