Faisal Farooq, Ph.D.

2008 Computer Science and Engineering State University of New York, Buffalo, Buffalo, NY, United States 
Computer Science
"Faisal Farooq"


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Venu Govindaraju grad student 2008 SUNY Buffalo
 (Language models and automatic topic categorization for information retrieval in handwritten documents.)
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Yu S, Farooq F, van Esbroeck A, et al. (2015) Predicting readmission risk with institution-specific prediction models. Artificial Intelligence in Medicine
Farooq F, Looney D, Mandic DP, et al. (2015) EarEEG based visual P300 Brain-Computer Interface International Ieee/Embs Conference On Neural Engineering, Ner. 2015: 98-101
Yu S, Esbroeck AV, Farooq F, et al. (2013) Predicting readmission risk with institution specific prediction models Proceedings - 2013 Ieee International Conference On Healthcare Informatics, Ichi 2013. 415-420
Farooq F, Kidmose P. (2013) Random forest classification for p300 based brain computer interface applications European Signal Processing Conference
Khan OI, Farooq F, Akram F, et al. (2012) Robust extraction of P300 using constrained ICA for BCI applications. Medical & Biological Engineering & Computing. 50: 231-41
Siddiqi MH, Farooq F, Lee S. (2012) A robust feature extraction method for human facial expressions recognition systems Acm International Conference Proceeding Series. 464-468
Yan Y, Rosales R, Fung G, et al. (2012) Active learning from multiple knowledge sources Journal of Machine Learning Research. 22: 1350-1357
Yu S, Farooq F, Krishnapuram B, et al. (2011) Leveraging rich annotations to improve learning of medical concepts from clinical free text. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2011: 1603-11
Rosales R, Farooq F, Krishnapuram B, et al. (2010) Automated identification of medical concepts and assertions in medical text. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2010: 682-6
Farooq F, Jose D, Govindaraju V. (2009) Phrase-based correction model for improving handwriting recognition accuracies Pattern Recognition. 42: 3271-3277
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