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Greetings!
I am a post-doctoral research associate at
the University of Pittsburgh working with
Dr. Milos Haushrecht
on several machine learning projects in medical informatics
. My
general research areas are machine learning and information
retrieval. The application of machine learning to Biomedical
Informatics and Economics are my two recent research interests. Here is my
Google Scholar user profile.
Recent Services:
Program Committee Member:
CIKM 2012,
KDD 2012,
AAAI 2012,
IJCAI 2011,
Recent
Publications (2011-2012):
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I. Batal,
H. Valizadegan,
G. Cooper, M. Hauskrecht, A Temporal Pattern Mining
Approach for Classifying Electronic Health Record Data, ACM
Transaction On Intelligent Systems and Technology (ACM
TIST), Special Issue on Health Informatics,
Accepted
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H. Valizadegan,
S. Amizadeh, M. Hauskrecht,
Sampling
Strategies to Evaluate the Performance of Unknown Predictors,
2012 SIAM International Conference on Data
Mining (SDM
2012), Anaheim,
California,
April 26-28, 2012 (Oral presentation, acceptance rate: 15%)
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S. Amizadeh,
H. Valizadegan,
M. Hauskrecht,
Factorized Diffusion Map Approximation,
International
Conference on Artificial Intelligence
and Statistics
(AISTATS 2012),
La Palma, Canary Islands, April 21-23, 2012,
(Acceptance rate:
30%) (Proofs)
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Q. Nguyen,
H. Valizadegan,
M. Hauskrecht, Learning Classification with Auxiliary Probablistic Information, IEEE International
Conference on Data Mining (ICDM 2011),
Vancouver, Canada, December 11-14, 2011,
(Full
paper, acceptance rate: 12%)
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M. Valko, B. Kveton,
H. Valizadegan,
G. Cooper, M. Hauskrecht,
Conditional Anomaly Detection with
Soft Harmonic Functions, IEEE International Conference on
Data Mining (ICDM 2011),
Vancouver, Canada, December 11-14, 2011,
(Full
paper, acceptance rate: 12%)
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I. Batal,
H. Valizadegan,
G. Cooper, M. Hauskrecht, A Pattern Mining Approach for
Classifying Multivariate Temporal Data, IEEE
International Conference on Bioinformatics and Biomedicine (BIBM 2011),
Atlanta, GA, November 12-15, 2011,
(Full paper, acceptance rate: 20%)
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Q. Nguyen,
H. Valizadegan,
A. Seybert, M. Hauskrecht,
Sample-efficient Learning with Class-label
Information, Annual American Medical
Informatics Association Symposium (AMIA 2011),
Washington, DC, October 22-26, 2011
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M. Valko,
H. Valizadegan,
B. Kveton, Gregory F. Cooper, M. Hauskrecht,
Conditional
Anomaly Detection Using Soft Harmonic Functions: An
Application to Clinical Alerting, ICML
Workshop For Global Challenges (ICML 2011 Global
Challenges),
Bellevue, Washington, July 2, 2011
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H. Valizadegan, R. Jin, S. Wang,
Learning to Trade Off Between Exploration and Exploitation
in Multiclass Bandit Prediction, ACM Conference on Knowledge Discovery and Data Mining
(KDD 2011),
San Diego, CA, August 21-24, 2011 (Oral presentation,
acceptance rate: 8%)
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