Zeeshan Syed

According to our database, Zeeshan Syed authored at least 34 papers between 2006 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2018

Clinically Meaningful Comparisons Over Time: An Approach to Measuring Patient Similarity based on Subsequence Alignment.

Dev Goyal, Zeeshan Syed, Jenna Wiens

CoRR, 2018

2016

Multi-task seizure detection: addressing intra-patient variation in seizure morphologies.

Alexander Van Esbroeck, Landon Smith, Zeeshan Syed, Satinder Singh, Zahi N. Karam

Mach. Learn., 2016

Uncovering Voice Misuse Using Symbolic Mismatch.

Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag

Proceedings of the 1st Machine Learning in Health Care, 2016

2015

Automated Detection of Benzodiazepine Dosage in ICU Patients through a Computational Analysis of Electrocardiographic Data.

Maxwell T. Spadafore, Zeeshan Syed, Ilan Rubinfeld

Proceedings of the AMIA 2015, 2015

2014

EEG Spatial Decoding and Classification with Logit Shrinkage Regularized Directed Information Assessment (L-SODA).

Xu Chen, Zeeshan Syed, Alfred O. Hero III

CoRR, 2014

Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks.

Chih-Chun Chia, Zeeshan Syed

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization.

Alexander Van Esbroeck, Satinder Singh, Ilan Rubinfeld, Zeeshan Syed

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Predicting Postoperative Atrial Fibrillation from Independent ECG Components.

Chih-Chun Chia, James Blum, Zahi N. Karam, Satinder Singh, Zeeshan Syed

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Research and applications: Predicting complications of percutaneous coronary intervention using a novel support vector method.

Gyemin Lee, Hitinder S. Gurm, Zeeshan Syed

J. Am. Medical Informatics Assoc., 2013

2012

Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection.

Guha Balakrishnan, Zeeshan Syed

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Adapting Surgical Models to Individual Hospitals Using Transfer Learning.

Gyemin Lee, Ilan Rubinfeld, Zeeshan Syed

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

EEG spatial decoding with shrinkage optimized directed information assessment.

Xu Chen, Zeeshan Syed, Alfred O. Hero III

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method.

Gyemin Lee, Hitinder S. Gurm, Zeeshan Syed

Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Improving surgical models through one/two class learning.

Chih-Chun Chia, Zahi N. Karam, Gyemin Lee, Ilan Rubinfeld, Zeeshan Syed

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Quantifying Surgical Complexity through Textual Descriptions of Current Procedural Terminology Codes.

Alexander Van Esbroeck, Ilan Rubinfeld, Zeeshan Syed

Proceedings of the AMIA 2012, 2012

Heart Rate Topic Models.

Alexander Van Esbroeck, Chih-Chun Chia, Zeeshan Syed

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data.

Zeeshan Syed, John V. Guttag

J. Mach. Learn. Res., 2011

Scaling Unsupervised Risk Stratification to Massive Clinical Datasets.

Zeeshan Syed, Ilan Rubinfeld

Int. J. Knowl. Discov. Bioinform., 2011

Computationally Generated Cardiac Biomarkers: Heart Rate Patterns to Predict Death Following Coronary Attacks.

Chih-Chun Chia, Zeeshan Syed

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations.

Kuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, Naveen Verma

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010

Motif discovery in physiological datasets: A methodology for inferring predictive elements.

Zeeshan Syed, Collin M. Stultz, Manolis Kellis, Piotr Indyk, John V. Guttag

ACM Trans. Knowl. Discov. Data, 2010

Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch.

Zeeshan Syed, John V. Guttag

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

From netflix to heart attacks: collaborative filtering in medical datasets.

Shahzaib Hassan, Zeeshan Syed

Proceedings of the ACM International Health Informatics Symposium, 2010

Scalable personalized medicine with active learning: detecting seizures with minimum labeled data.

Guha Balakrishnan, Zeeshan Syed

Proceedings of the ACM International Health Informatics Symposium, 2010

Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes.

Zeeshan Syed, Ilan Rubinfeld

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Fast Anomaly Detection in Dynamic Clinical Datasets Using Near-Optimal Hashing with Concentric Expansions.

Zeeshan Syed, Ilan Rubinfeld

Proceedings of the ICDMW 2010, 2010

Using Adaptive Downsampling to Compare Time Series with Warping.

Chih-Chun Chia, Zeeshan Syed

Proceedings of the ICDMW 2010, 2010

2009

Learning Approximate Sequential Patterns for Classification.

Zeeshan Syed, Piotr Indyk, John V. Guttag

J. Mach. Learn. Res., 2009

Quantifying morphology changes in time series data with skew.

Phil Sung, Zeeshan Syed, John V. Guttag

Proceedings of the IEEE International Conference on Acoustics, 2009

2007

A Framework for the Analysis of Acoustical Cardiac Signals.

Zeeshan Syed, Daniel Leeds, Daniel Curtis, Francesca Nesta, Robert A. Levine, John V. Guttag

IEEE Trans. Biomed. Eng., 2007

Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge.

Zeeshan Syed, John V. Guttag, Collin M. Stultz

EURASIP J. Adv. Signal Process., 2007

Prototypical Biological Signals.

Zeeshan Syed, John V. Guttag

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Software Enhanced Learning of Cardiac Auscultation.

Zeeshan Syed, Dorothy Curtis, John V. Guttag, Francesca Nesta, Robert A. Levine

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders.

Zeeshan Syed, Daniel Leeds, Dorothy Curtis, John V. Guttag

Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006