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Zeeshan Syed
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2010 – 2019
- 2018
- [i3]Dev Goyal, Zeeshan Syed, Jenna Wiens:
Clinically Meaningful Comparisons Over Time: An Approach to Measuring Patient Similarity based on Subsequence Alignment. CoRR abs/1803.00744 (2018) - 2016
- [j8]Alexander Van Esbroeck
, Landon Smith, Zeeshan Syed, Satinder Singh, Zahi N. Karam:
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies. Mach. Learn. 102(3): 309-321 (2016) - [c24]Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag:
Uncovering Voice Misuse Using Symbolic Mismatch. MLHC 2016: 239-252 - [i2]Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag:
Uncovering Voice Misuse Using Symbolic Mismatch. CoRR abs/1608.02301 (2016) - 2015
- [c23]Maxwell T. Spadafore, Zeeshan Syed, Ilan Rubinfeld:
Automated Detection of Benzodiazepine Dosage in ICU Patients through a Computational Analysis of Electrocardiographic Data. AMIA 2015 - 2014
- [c22]Chih-Chun Chia, James Blum
Predicting Postoperative Atrial Fibrillation from Independent ECG Components. AAAI 2014: 1178-1184 - [c21]Alexander Van Esbroeck, Satinder Singh, Ilan Rubinfeld, Zeeshan Syed:
Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization. AAAI 2014: 1307-1313 - [c20]Chih-Chun Chia, Zeeshan Syed:
Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks. KDD 2014: 125-134 - [i1]Xu Chen, Zeeshan Syed, Alfred O. Hero III:
EEG Spatial Decoding and Classification with Logit Shrinkage Regularized Directed Information Assessment (L-SODA). CoRR abs/1404.0404 (2014) - 2013
- [j7]Gyemin Lee
Research and applications: Predicting complications of percutaneous coronary intervention using a novel support vector method. J. Am. Medical Informatics Assoc. 20(4): 778-786 (2013) - 2012
- [c19]Alexander Van Esbroeck, Chih-Chun Chia, Zeeshan Syed:
Heart Rate Topic Models. AAAI 2012: 1635-1641 - [c18]Alexander Van Esbroeck, Ilan Rubinfeld, Zeeshan Syed:
Quantifying Surgical Complexity through Textual Descriptions of Current Procedural Terminology Codes. AMIA 2012 - [c17]Chih-Chun Chia, Zahi N. Karam, Gyemin Lee
Improving surgical models through one/two class learning. EMBC 2012: 5098-5101 - [c16]Gyemin Lee
Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method. HISB 2012: 31 - [c15]Xu Chen, Zeeshan Syed, Alfred O. Hero III:
EEG spatial decoding with shrinkage optimized directed information assessment. ICASSP 2012: 577-580 - [c14]Gyemin Lee
Adapting Surgical Models to Individual Hospitals Using Transfer Learning. ICDM Workshops 2012: 57-63 - [c13]Guha Balakrishnan, Zeeshan Syed:
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection. AISTATS 2012: 73-81 - 2011
- [j6]Zeeshan Syed, Ilan Rubinfeld:
Scaling Unsupervised Risk Stratification to Massive Clinical Datasets. Int. J. Knowl. Discov. Bioinform. 2(1): 45-59 (2011) - [j5]Zeeshan Syed, John V. Guttag:
Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data. J. Mach. Learn. Res. 12: 999-1024 (2011) - [c12]Kuk Jin Jang, Guha Balakrishnan
Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations. EMBC 2011: 2184-2187 - [c11]Chih-Chun Chia, Zeeshan Syed:
Computationally Generated Cardiac Biomarkers: Heart Rate Patterns to Predict Death Following Coronary Attacks. SDM 2011: 735-746 - 2010
- [j4]Zeeshan Syed, Collin M. Stultz, Manolis Kellis, Piotr Indyk, John V. Guttag:
Motif discovery in physiological datasets: A methodology for inferring predictive elements. ACM Trans. Knowl. Discov. Data 4(1): 2:1-2:23 (2010) - [c10]Zeeshan Syed, Ilan Rubinfeld:
Fast Anomaly Detection in Dynamic Clinical Datasets Using Near-Optimal Hashing with Concentric Expansions. ICDM Workshops 2010: 763-770 - [c9]Chih-Chun Chia, Zeeshan Syed:
Using Adaptive Downsampling to Compare Time Series with Warping. ICDM Workshops 2010: 1304-1311 - [c8]Zeeshan Syed, Ilan Rubinfeld:
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes. ICML 2010: 1023-1030 - [c7]Guha Balakrishnan
Scalable personalized medicine with active learning: detecting seizures with minimum labeled data. IHI 2010: 83-90 - [c6]Shahzaib Hassan, Zeeshan Syed:
From netflix to heart attacks: collaborative filtering in medical datasets. IHI 2010: 128-134 - [c5]Zeeshan Syed, John V. Guttag:
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch. NIPS 2010: 2262-2270
2000 – 2009
- 2009
- [j3]Zeeshan Syed, Piotr Indyk, John V. Guttag:
Learning Approximate Sequential Patterns for Classification. J. Mach. Learn. Res. 10: 1913-1936 (2009) - [c4]Phil Sung, Zeeshan Syed, John V. Guttag:
Quantifying morphology changes in time series data with skew. ICASSP 2009: 477-480 - 2007
- [j2]Zeeshan Syed, John V. Guttag, Collin M. Stultz:
Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge. EURASIP J. Adv. Signal Process. 2007 (2007) - [j1]Zeeshan Syed, Daniel Leeds, Daniel Curtis, Francesca Nesta, Robert A. Levine, John V. Guttag:
A Framework for the Analysis of Acoustical Cardiac Signals. IEEE Trans. Biomed. Eng. 54(4): 651-662 (2007) - [c3]Zeeshan Syed, John V. Guttag:
Prototypical Biological Signals. ICASSP (1) 2007: 397-400 - 2006
- [c2]Zeeshan Syed, Daniel Leeds, Dorothy Curtis, John V. Guttag:
Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders. CBMS 2006: 207-212 - [c1]Zeeshan Syed, Dorothy Curtis, John V. Guttag, Francesca Nesta, Robert A. Levine:
Software Enhanced Learning of Cardiac Auscultation. EMBC 2006: 6105-6108
Coauthor Index
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