Zeeshan Syed

According to our database1, Zeeshan Syed
  • authored at least 32 papers between 2006 and 2016.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2016
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies.
Machine Learning, 2016

Uncovering Voice Misuse Using Symbolic Mismatch.
CoRR, 2016

Uncovering Voice Misuse Using Symbolic Mismatch.
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.
Proceedings of the AMIA 2015, 2015

2014
EEG Spatial Decoding and Classification with Logit Shrinkage Regularized Directed Information Assessment (L-SODA).
CoRR, 2014

Scalable noise mining in long-term electrocardiographic time-series to predict death following heart attacks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Evaluating Trauma Patients: Addressing Missing Covariates with Joint Optimization.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Predicting Postoperative Atrial Fibrillation from Independent ECG Components.
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.
JAMIA, 2013

2012
Scalable Personalization of Long-Term Physiological Monitoring: Active Learning Methodologies for Epileptic Seizure Onset Detection.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Adapting Surgical Models to Individual Hospitals Using Transfer Learning.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

EEG spatial decoding with shrinkage optimized directed information assessment.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Predicting Complications of Percutaneous Coronary Intervention Using a Novel Support Vector Method.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Improving surgical models through one/two class learning.
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.
Proceedings of the AMIA 2012, 2012

Heart Rate Topic Models.
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.
Journal of Machine Learning Research, 2011

Scaling Unsupervised Risk Stratification to Massive Clinical Datasets.
IJKDB, 2011

Computationally Generated Cardiac Biomarkers: Heart Rate Patterns to Predict Death Following Coronary Attacks.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

2010
Motif discovery in physiological datasets: A methodology for inferring predictive elements.
TKDD, 2010

Identifying Patients at Risk of Major Adverse Cardiovascular Events Using Symbolic Mismatch.
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.
Proceedings of the ACM International Health Informatics Symposium, 2010

Scalable personalized medicine with active learning: detecting seizures with minimum labeled data.
Proceedings of the ACM International Health Informatics Symposium, 2010

Unsupervised Risk Stratification in Clinical Datasets: Identifying Patients at Risk of Rare Outcomes.
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.
Proceedings of the ICDMW 2010, 2010

Using Adaptive Downsampling to Compare Time Series with Warping.
Proceedings of the ICDMW 2010, 2010

2009
Learning Approximate Sequential Patterns for Classification.
Journal of Machine Learning Research, 2009

Quantifying morphology changes in time series data with skew.
Proceedings of the IEEE International Conference on Acoustics, 2009

2007
A Framework for the Analysis of Acoustical Cardiac Signals.
IEEE Trans. Biomed. Engineering, 2007

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. Sig. Proc., 2007

Prototypical Biological Signals.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Audio-Visual Tools for Computer-Assisted Diagnosis of Cardiac Disorders.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006


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