Zeeshan Syed

Publication Activity (10 Years)

Years Active: 2006-2018
Publications (10 Years): 4

Top Topics

Epileptic Seizures

Onset Detection

Atrial Fibrillation

Top Venues

Publications

Dev Goyal, Zeeshan Syed, Jenna Wiens
Clinically Meaningful Comparisons Over Time: An Approach to Measuring Patient Similarity based on Subsequence Alignment. CoRR (2018)
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)
Marzyeh Ghassemi, Zeeshan Syed, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, John V. Guttag
Uncovering Voice Misuse Using Symbolic Mismatch. CoRR (2016)
Alexander Van Esbroeck, Landon Smith, Zeeshan Syed, Satinder P. Singh, Zahi N. Karam
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies. Mach. Learn. 102 (3) (2016)
Maxwell T. Spadafore, Zeeshan Syed, Ilan Rubinfeld
Automated Detection of Benzodiazepine Dosage in ICU Patients through a Computational Analysis of Electrocardiographic Data. AMIA (2015)
Xu Chen, Zeeshan Syed, Alfred O. Hero III
EEG Spatial Decoding and Classification with Logit Shrinkage Regularized Directed Information Assessment (L-SODA). CoRR (2014)
Alexander Van Esbroeck, Satinder P. Singh, Ilan Rubinfeld, Zeeshan Syed
Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization. AAAI (2014)
Chih-Chun Chia, Zeeshan Syed
Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks. KDD (2014)
Chih-Chun Chia, James Blum, Zahi N. Karam, Satinder P. Singh, Zeeshan Syed
Predicting Postoperative Atrial Fibrillation from Independent ECG Components. AAAI (2014)
Gyemin Lee, Hitinder S. Gurm, Zeeshan Syed
Research and applications: Predicting complications of percutaneous coronary intervention using a novel support vector method. J. Am. Medical Informatics Assoc. 20 (4) (2013)
Alexander Van Esbroeck, Chih-Chun Chia, Zeeshan Syed
Heart Rate Topic Models. AAAI (2012)
Chih-Chun Chia, Zahi N. Karam, Gyemin Lee, Ilan Rubinfeld, Zeeshan Syed
Improving surgical models through one/two class learning. EMBC (2012)
Xu Chen, Zeeshan Syed, Alfred O. Hero III
EEG spatial decoding with shrinkage optimized directed information assessment. ICASSP (2012)
Alexander Van Esbroeck, Ilan Rubinfeld, Zeeshan Syed
Quantifying Surgical Complexity through Textual Descriptions of Current Procedural Terminology Codes. AMIA (2012)
Guha Balakrishnan, Zeeshan Syed
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection. AISTATS (2012)
Gyemin Lee, Hitinder S. Gurm, Zeeshan Syed
Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method. HISB (2012)
Gyemin Lee, Ilan Rubinfeld, Zeeshan Syed
Adapting Surgical Models to Individual Hospitals Using Transfer Learning. ICDM Workshops (2012)
Chih-Chun Chia, Zeeshan Syed
Computationally Generated Cardiac Biomarkers: Heart Rate Patterns to Predict Death Following Coronary Attacks. SDM (2011)
Kuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, Naveen Verma
Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations. EMBC (2011)
Zeeshan Syed, John V. Guttag
Unsupervised Similarity-Based Risk Stratification for Cardiovascular Events Using Long-Term Time-Series Data. J. Mach. Learn. Res. 12 (2011)
Zeeshan Syed, Ilan Rubinfeld
Scaling Unsupervised Risk Stratification to Massive Clinical Datasets. Int. J. Knowl. Discov. Bioinform. 2 (1) (2011)
Zeeshan Syed, Ilan Rubinfeld
Fast Anomaly Detection in Dynamic Clinical Datasets Using Near-Optimal Hashing with Concentric Expansions. ICDM Workshops (2010)
Shahzaib Hassan, Zeeshan Syed
From netflix to heart attacks: collaborative filtering in medical datasets. IHI (2010)
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) (2010)
Zeeshan Syed, Ilan Rubinfeld
Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes. ICML (2010)
Guha Balakrishnan, Zeeshan Syed
Scalable personalized medicine with active learning: detecting seizures with minimum labeled data. IHI (2010)
Chih-Chun Chia, Zeeshan Syed
Using Adaptive Downsampling to Compare Time Series with Warping. ICDM Workshops (2010)
Zeeshan Syed, John V. Guttag
Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch. NIPS (2010)
Phil Sung, Zeeshan Syed, John V. Guttag
Quantifying morphology changes in time series data with skew. ICASSP (2009)
Zeeshan Syed, Piotr Indyk, John V. Guttag
Learning Approximate Sequential Patterns for Classification. J. Mach. Learn. Res. 10 (2009)
Zeeshan Syed, John V. Guttag
Prototypical Biological Signals. ICASSP (1) (2007)
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) (2007)
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)
Zeeshan Syed, Dorothy Curtis, John V. Guttag, Francesca Nesta, Robert A. Levine
Software Enhanced Learning of Cardiac Auscultation. EMBC (2006)
Zeeshan Syed, Daniel Leeds, Dorothy Curtis, John V. Guttag
Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders. CBMS (2006)