Zeeshan Syed

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Using the Analytic Hierarchy Process to Assign Resources to Software Development Projects

Patrick Ward, Matt Schnugg, Toby Zhang, 2010 .

Learning Approximate Sequential Patterns for Classification

Piotr Indyk, Zeeshan Syed, John V. Guttag, 2009, J. Mach. Learn. Res..

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

Zeeshan Syed, Gyemin Lee, Hitinder S. Gurm, 2013, J. Am. Medical Informatics Assoc..

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

Naveen Verma, Zeeshan Syed, Kuk Jin Jang, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

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

Piotr Indyk, Manolis Kellis, Zeeshan Syed, 2010, TKDD.

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

Zeeshan Syed, John V. Guttag, Dorothy Curtis, 2006, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06).

Uncovering Voice Misuse Using Symbolic Mismatch

Marzyeh Ghassemi, Zeeshan Syed, Robert E. Hillman, 2016, MLHC.

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

Zeeshan Syed, Satinder P. Singh, Alexander Van Esbroeck, 2016, Machine Learning.

An open access database for the evaluation of heart sound algorithms

Qiao Li, Gari D Clifford, Francisco Castells, 2016, Physiological measurement.

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

Zeeshan Syed, Ilan Rubinfeld, I. Rubinfeld, 2010, ICML.

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, 2007, EURASIP J. Adv. Signal Process..

Scaling Unsupervised Risk Stratification to Massive Clinical Datasets

Zeeshan Syed, Ilan Rubinfeld, I. Rubinfeld, 2011, Int. J. Knowl. Discov. Bioinform..

EEG spatial decoding with shrinkage optimized directed information assessment

Xu Chen, Alfred O. Hero, Zeeshan Syed, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Zeeshan Syed, Ilan Rubinfeld, I. Rubinfeld, 2010, 2010 IEEE International Conference on Data Mining Workshops.

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

Zeeshan Syed, Ilan Rubinfeld, Maxwell T. Spadafore, 2015, AMIA.

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

Zeeshan Syed, Gyemin Lee, Hitinder S. Gurm, 2012, 2012 IEEE Second International Conference on Healthcare Informatics, Imaging and Systems Biology.

Machine learning for noise removal on breast ultrasound images

Zeeshan Syed, Kai Thomenius, Paul Carson, 2010, 2010 IEEE International Ultrasonics Symposium.

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

Zeeshan Syed, Chih-Chun Chia, Z. Syed, 2014, KDD.

Heart Rate Topic Models

Zeeshan Syed, Alexander Van Esbroeck, Chih-Chun Chia, 2012, AAAI.

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

Jenna Wiens, Zeeshan Syed, Dev Goyal, 2018, ArXiv.

Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization

Zeeshan Syed, Satinder P. Singh, Alexander Van Esbroeck, 2014, AAAI.

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

Xu Chen, Alfred O. Hero, Zeeshan Syed, 2014, ArXiv.

Prototypical Biological Signals

Zeeshan Syed, John V. Guttag, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

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

Zeeshan Syed, Chih-Chun Chia, Z. Syed, 2011, SDM.

From netflix to heart attacks: collaborative filtering in medical datasets

Zeeshan Syed, Shahzaib Hassan, Z. Syed, 2010, IHI.

Predicting Postoperative Atrial Fibrillation from Independent ECG Components

Zeeshan Syed, Satinder P. Singh, Zahi N. Karam, 2014, AAAI.

Creating symbolic representations of electroencephalographic signals: An investigation of alternate methodologies on intracranial data

Zeeshan Syed, Ali H. Shoeb, Guha Balakrishnan, 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

A Framework for the Analysis of Acoustical Cardiac Signals

Zeeshan Syed, Robert A. Levine, John V. Guttag, 2007, IEEE Transactions on Biomedical Engineering.

Quantifying Surgical Complexity through Textual Descriptions of Current Procedural Terminology Codes

Zeeshan Syed, Alexander Van Esbroeck, Ilan Rubinfeld, 2012, AMIA.

Using Adaptive Downsampling to Compare Time Series with Warping

Zeeshan Syed, Chih-Chun Chia, 2010, 2010 IEEE International Conference on Data Mining Workshops.

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

Zeeshan Syed, Guha Balakrishnan, Z. Syed, 2012, AISTATS.

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

Zeeshan Syed, John V. Guttag, Z. Syed, 2010, NIPS.

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

Zeeshan Syed, Guha Balakrishnan, Z. Syed, 2010, IHI.

Improving surgical models through one/two class learning

Zeeshan Syed, Zahi N. Karam, Gyemin Lee, 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Adapting Surgical Models to Individual Hospitals Using Transfer Learning

Zeeshan Syed, Gyemin Lee, Ilan Rubinfeld, 2012, 2012 IEEE 12th International Conference on Data Mining Workshops.

Quantifying morphology changes in time series data with skew

Zeeshan Syed, John V. Guttag, Phil Sung, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Zeeshan Syed, John V. Guttag, Z. Syed, 2011, J. Mach. Learn. Res..

Predicting Surgical Risk: How Much Data is Enough?

Zeeshan Syed, Ilan Rubinfeld, Vic Velanovich, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Abstract 2123: ECG Markers to Predict Cardiovascular Death: Heart Rate Variability, Deceleration Capacity and Morphologic Variability in Non-ST-Elevation ACS from the MERLIN-TIMI 36 Trial

Zeeshan Syed, John V. Guttag, Collin M. Stultz, 2008 .

Characterizing heterogeneity in the progression of Alzheimer's disease using longitudinal clinical and neuroimaging biomarkers

Jenna Wiens, Zeeshan Syed, Raymond Q. Migrino, 2018, Alzheimer's & dementia.