Steven Lemm

Neuroscience · Life Sciences

10h-index4.4kcitations18works0.02yr avg
OpenAlex↗Google Scholar↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

EEG and Brain-Computer Interfaces(9), Neural dynamics and brain function(7), Financial Risk and Volatility Modeling(3), Functional Brain Connectivity Studies(2), Neural Networks and Applications(2)

Publications18 total

Directional Variance Adjustment: Bias Reduction in Covariance Matrices Based on Factor Analysis with an Application to Portfolio Optimization
PLoS ONE·2013· 21 citedOpen Access
Directional Variance Adjustment: improving covariance estimates for\n high-dimensional portfolio optimization
arXiv (Cornell University)·2011· 1 citedOpen Access
Directional Variance Adjustment: improving covariance estimates for high-dimensional portfolio optimization
arXiv (Cornell University)·2011· 3 citedOpen Access
Introduction to machine learning for brain imaging
NeuroImage·2010· 632 cited
Single-trial analysis and classification of ERP components — A tutorial
NeuroImage·2010· 1.1k cited
A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization
PLoS Computational Biology·2009· 38 citedOpen Access
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
IEEE Signal Processing Magazine·2008· 2.0k cited
Single trial analyses of encephalogram data.
DepositOnce·2007· 1 citedOpen Access
Aggregating Classification Accuracy across Time: Application to Single Trial EEG
The MIT Press eBooks·2007· 4 cited
The Berlin Brain-Computer Interface: Machine Learning-Based Detection of User Specific Brain States
The MIT Press eBooks·2007· 102 citedOpen Access
A novel mechanism for evoked responses in the human brain
European Journal of Neuroscience·2007· 151 cited
Now you feel it—now you don't: ERP correlates of somatosensory awareness
Psychophysiology·2006· 137 cited
Binary On-line Classification Based on Temporally Integrated Information
Studies in classification, data analysis, and knowledge organization·2005· 1 cited
A Dynamic HMM for Online Segmentation of Sequential Data
The MIT Press eBooks·2002· 8 cited
A Dynamic HMM for On-line Segmentation of Sequential Data
2001· 68 cited
PREDICTION OF FINANCIAL DATA WITH HIDDEN MARKOV MIXTURES OF EXPERTS
International Journal of Theoretical and Applied Finance·2000· 1 cited
Barrier Boosting
Conference on Learning Theory·2000· 33 cited
Hidden Markov gating for prediction of change points in switching dynamical systems.
1999· 3 cited

Frequent Co-authors

Klaus‐Robert Müller(9), Gabriel Curio(6), Benjamin Blankertz(4), Jens Kohlmorgen(4), Daniel Bartz(3), Kerr Hatrick(3), Christian W. Hesse(3), K. Müller(2), Christin Schäfer(2), Stefan Liehr(2), Klaus Pawelzik(2), Ryota Tomioka(1), Motoaki Kawanabe(1), Matthias S. Treder(1), Stefan Haufe(1), Thorsten Dickhaus(1), Vadim V. Nikulin(1), Klaus Linkenkaer‐Hansen(1), Guido Nolte(1), Risto J. Ilmoniemi(1)