Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders. - Zeeshan Syed; Daniel Leeds; Dorothy Curtis; John V. Guttag (CBMS, 2006)

Software Enhanced Learning of Cardiac Auscultation. - Zeeshan Syed; Dorothy Curtis; John V. Guttag; Francesca Nesta; Robert A. Levine (EMBC, 2006)

Prototypical Biological Signals. - Zeeshan Syed; John V. Guttag (ICASSP (1), 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)

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)

Quantifying morphology changes in time series data with skew. - Phil Sung; Zeeshan Syed; John V. Guttag (ICASSP, 2009)

Learning Approximate Sequential Patterns for Classification. - Zeeshan Syed; Piotr Indyk; John V. Guttag (J. Mach. Learn. Res., 2009)

Using Adaptive Downsampling to Compare Time Series with Warping. - Chih-Chun Chia; Zeeshan Syed (ICDM Workshops, 2010)

Fast Anomaly Detection in Dynamic Clinical Datasets Using Near-Optimal Hashing with Concentric Expansions. - Zeeshan Syed; Ilan Rubinfeld (ICDM Workshops, 2010)

Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes. - Zeeshan Syed; Ilan Rubinfeld (ICML, 2010)

Scalable personalized medicine with active learning: detecting seizures with minimum labeled data. - Guha Balakrishnan; Zeeshan Syed (IHI, 2010)

From netflix to heart attacks: collaborative filtering in medical datasets. - Shahzaib Hassan; Zeeshan Syed (IHI, 2010)

Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch. - Zeeshan Syed; John V. Guttag (NIPS, 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)

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 (EMBC, 2011)

Computationally Generated Cardiac Biomarkers: Heart Rate Patterns to Predict Death Following Coronary Attacks. - Chih-Chun Chia; Zeeshan Syed (SDM, 2011)

Scaling Unsupervised Risk Stratification to Massive Clinical Datasets. - Zeeshan Syed; Ilan Rubinfeld (Int. J. Knowl. Discov. Bioinform., 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)

Heart Rate Topic Models. - Alexander Van Esbroeck; Chih-Chun Chia; Zeeshan Syed (AAAI, 2012)

Quantifying Surgical Complexity through Textual Descriptions of Current Procedural Terminology Codes. - Alexander Van Esbroeck; Ilan Rubinfeld; Zeeshan Syed (AMIA, 2012)

Improving surgical models through one/two class learning. - Chih-Chun Chia; Zahi N. Karam; Gyemin Lee; Ilan Rubinfeld; Zeeshan Syed (EMBC, 2012)

Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method. - Gyemin Lee; Hitinder S. Gurm; Zeeshan Syed (HISB, 2012)

EEG spatial decoding with shrinkage optimized directed information assessment. - Xu Chen; Zeeshan Syed; Alfred O. Hero III (ICASSP, 2012)

Adapting Surgical Models to Individual Hospitals Using Transfer Learning. - Gyemin Lee; Ilan Rubinfeld; Zeeshan Syed (ICDM Workshops, 2012)

Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection. - Guha Balakrishnan; Zeeshan Syed (AISTATS, 2012)

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)

Predicting Postoperative Atrial Fibrillation from Independent ECG Components. - Chih-Chun Chia; James Blum; Zahi N. Karam; Satinder Singh 001; Zeeshan Syed (AAAI, 2014)

Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization. - Alexander Van Esbroeck; Satinder Singh 001; Ilan Rubinfeld; Zeeshan Syed (AAAI, 2014)

Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks. - Chih-Chun Chia; Zeeshan Syed (KDD, 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)

Automated Detection of Benzodiazepine Dosage in ICU Patients through a Computational Analysis of Electrocardiographic Data. - Maxwell T. Spadafore; Zeeshan Syed; Ilan Rubinfeld (AMIA, 2015)

Uncovering Voice Misuse Using Symbolic Mismatch. - Marzyeh Ghassemi; Zeeshan Syed; Daryush D. Mehta; Jarrad H. Van Stan; Robert E. Hillman; John V. Guttag (MLHC, 2016)

Multi-task seizure detection: addressing intra-patient variation in seizure morphologies. - Alexander Van Esbroeck; Landon Smith; Zeeshan Syed; Satinder Singh 001; Zahi N. Karam (Mach. Learn., 2016)

Clinically Meaningful Comparisons Over Time: An Approach to Measuring Patient Similarity based on Subsequence Alignment. - Dev Goyal; Zeeshan Syed; Jenna Wiens (CoRR, 2018)