Zeeshan Syed - RankMe

35 papers A* 5A 2B 1Misc 4Journal 11Unranked 12

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