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Thomas Lotze
Thomas Lotze
Harvard University; University of Maryland; Grockit, Inc.; Square, Inc.
Adresse e-mail validée de thomaslotze.com
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Implementation and comparison of preprocessing methods for biosurveillance data
T Lotze, S Murphy, G Shmueli
Advances in Disease Surveillance 6 (1), 1-20, 2008
332008
Evolving a learning analytics platform
A Bader-Natal, T Lotze
Proceedings of the 1st international conference on learning analytics and …, 2011
252011
Preparing biosurveillance data for classic monitoring
T Lotze, SP Murphy, G Shmueli
Advances in Disease Surveillance 2, 55, 2007
222007
Simulating multivariate syndromic time series and outbreak signatures
T Lotze, G Shmueli, I Yahav
Robert H. Smith School Research Paper No. RHS-06-054, 2007
212007
A wavelet-based anomaly detector for early detection of disease outbreaks
T Lotze, G Shmueli, S Murphy, H Burkom
Workshop on machine learning algorithms for surveillance and event detection …, 2006
192006
Simulating and evaluating biosurveillance datasets
T Lotze, G Shmueli, I Yahav, T Kass-Hout, X Zhang
Biosurveillance: Methods and Case Studies; Chapman and Hall: Boca Raton, FL 2352, 2010
172010
How does improved forecasting benefit detection? An application to biosurveillance
TH Lotze, G Shmueli
International Journal of Forecasting 25 (3), 467-483, 2009
142009
Anomaly detection in time series: Theoretical and practical improvements for disease outbreak detection
TH Lotze
University of Maryland, College Park, 2009
122009
A comparison of the effects of nine activities within a self-directed learning environment on skill-grained learning
A Bader-Natal, T Lotze, D Furr
Artificial Intelligence in Education: 15th International Conference, AIED …, 2011
72011
Ensemble Forecasting for Disease Outbreak Detection.
TH Lotze, G Shmueli
AAAI, 1470-1471, 2008
72008
Algorithm combination for improved performance in biosurveillance: Univariate monitoring
I Yahav, T Lotze, G Shmueli
Infectious Disease Informatics and Biosurveillance: Research, Systems and …, 2010
62010
Simulating multivariate syndromic time series and outbreak signatures. Robert H. Smith School Research Paper No
T Lotze, G Shmueli, I Yahav
Available at SSRN 990020, 2007
52007
On the relationship between forecast accuracy and detection performance: An application to biosurveillance
T Lotze, G Shmueli
2008 IEEE Conference on Technologies for Homeland Security, 100-105, 2008
42008
Uncertainty for the Novice
A Daken, E Dogruel, J Grimes, M Lam, T Lotze
Fuzz: A Visualization Toolkit, 2008
12008
Uncertainty for The Novice Fuzz: A Visualization Toolkit
A Daken, E Dogruel, J Grimes, M Lam, T Lotze
An Evaluation of Wavelet-Based Techniques for Prediction and Anomaly Detection in Univariate Syndromic Data
T Lotze, SP Murphy, G Shmueli
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