Schuurmans, Dale

Profile

Dale Schuurmans is a Research Scientist at Google Brain, Professor of Computing Science at the University of Alberta, and Fellow of the Association for the Advancement of Artificial Intelligence and the Alberta Machine Intelligence Institute (Amii). He was a recipient of a 10 year Canada Research Chair in Machine Learning, held from 2003-2013. He currently serves as Associate Editor in Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence, and has previously served as Associate Editor for JMLR, AIJ, JAIR and MLJ, and as Program Co-chair for AAAI-2016, NIPS-2008 and ICML-2004. He has worked in many areas of machine learning and artificial intelligence, including model selection, on-line learning, adversarial optimization, boolean satisfiability, sequential decision making, reinforcement learning, Bayesian optimization, semi-definite methods for unsupervised learning, dimensionality reduction, and robust estimation. He has 180 refereed publications in these areas, and has received paper awards at NeurIPS, ICML, IJCAI, AAAI, IEEE ICAL and IEEE ADPRL.

Outputs

Title	Category	Date	Authors
Acoustic diagnosis of pulmonary hypertension: automated speech- recognition-inspired classification algorithm outperforms physicians University of Alberta	Publication	2016-09-01	Tarek Kaddoura, Karunakar Vadlamudi, Shine Kumar, Prashant Bobhate, Long Guo, Shreepal Jain, Mohamed Elgendi, James Y Coe, Daniel Kim, Dylan Taylor, Wayne Tymchak, Dale Schuurmans, Roger J. Zemp, Ian Adatia
Detection of Heart Sounds in Children with and without Pulmonary Arterial Hypertension\rule1em 1ptDaubechies Wavelets Approach University of Alberta	Publication	2015-12-01	Mohamed Elgendi, Shine Kumar, Long Guo, Jennifer Rutledge, James Y. Coe, Roger Zemp, Dale Schuurmans, Ian Adatia
The Unique Heart Sound Signature of Children with Pulmonary Artery Hypertension University of Alberta	Publication	2015-12-01	Mohamed Elgendi, Prashant Bobhate, Shreepal Jain, Long Guo, Shine Kumar, Jennifer Rutledge, Yashu Coe, Roger Zemp, Dale Schuurmans, Ian Adatia
Towards Investigating Global Warming Impact on Human Health Using Derivatives of Photoplethysmogram Signals University of Alberta	Publication	2015-10-01	Mohamed Elgendi, Ian Norton, Matt Brearley, Richard Fletcher, Derek Abbott, Nigel Lovell, Dale Schuurmans
On Time Domain Analysis of Photoplethysmogram Signals for Monitoring Heat Stress University of Alberta	Publication	2015-09-01	Mohamed Elgendi, Rich Fletcher, Ian Norton, Matt Brearley, Derek Abbott, Nigel Lovell, Dale Schuurmans
Semi-Supervised Zero-Shot Classification with Label Representation Learning University of Alberta	Publication	2015-12-01	Xin Li, Yuhong Guo, Dale Schuurmans
Generalization in Unsupervised Learning University of Alberta	Publication	2015-01-01	Karim T. Abou-Moustafa, Dale Schuurmans
Scalable Metric Learning for Co-Embedding University of Alberta	Publication	2015-01-01	Farzaneh Mirzazadeh, Martha White, Andrá s György, Dale Schuurmans
Frequency analysis of photoplethysmogram and its derivatives University of Alberta	Publication	2015-12-01	Mohamed Elgendi, Richard R. Fletcher, Ian Norton, Matt Brearley, Derek Abbott, Nigel H. Lovell, Dale Schuurmans
Time-Domain Analysis of Heart Sound Intensity in Children with and without Pulmonary Artery Hypertension: A Pilot Study using a Digital Stethoscope University of Alberta	Publication	2014-12-01	Mohamed Elgendi, Prashant Bobhate, Shreepal Jain, Jennifer Rutledge, James Y. Coe, Roger Zemp, Dale Schuurmans, Ian Adatia
Detection of a and b waves in the acceleration photoplethysmogram University of Alberta	Publication	2014-01-01	Mohamed Elgendi, Ian Norton, Matt Brearley, Derek Abbott, Dale Schuurmans
Spectral analysis of the heart sounds in children with and without pulmonary artery hypertension University of Alberta	Publication	2014-04-01	Mohamed Elgendi, Prashant Bobhate, Shreepal Jain, Long Guo, Jennifer Rutledge, Yashu Coe, Roger Zemp, Dale Schuurmans, Ian Adatia
Divergence based graph estimation for manifold learning University of Alberta	Publication	2013-12-01	Karim T. Abou-Moustafa, Frank Ferrie, Dale Schuurmans
EXPLOITING SYNTACTIC, SEMANTIC, AND LEXICAL REGULARITIES IN LANGUAGE MODELING VIA DIRECTED MARKOV RANDOM FIELDS University of Alberta	Publication	2012-07-01	Shaojun Wang, Shaomin Wang, Li Cheng, Russell Greiner, Dale Schuurmans
Multi-label Classification with Output Kernels University of Alberta	Publication	2013-01-01	Yuhong Guo, Dale Schuurmans
Systolic Peak Detection in Acceleration Photoplethysmograms Measured from Emergency Responders in Tropical Conditions University of Alberta	Publication	2013-10-01	Mohamed Elgendi, Ian Norton, Matt Brearley, Derek Abbott, Dale Schuurmans
Protein phosphorylation site prediction via feature discovery support vector machine University of Alberta	Publication	2012-12-01	Yi Shi, Bo Yuan, Guohui Lin, Dale Schuurmans
Semi-supervised Multi-label Classification University of Alberta	Publication	2012-01-01	Yuhong Guo, Dale Schuurmans
Sparse Learning Based Linear Coherent Bi-clustering University of Alberta	Publication	2012-01-01	Yi Shi, Xiaoping Liao, Xinhua Zhang, Guohui Lin, Dale Schuurmans
An experimental methodology for response surface optimization methods University of Alberta	Publication	2011-06-01	Daniel J. Lizotte, Russell Greiner, Dale Schuurmans
The Latent Maximum Entropy Principle University of Alberta	Publication	2012-07-01	Shaojun Wang, Dale Schuurmans, Yunxin Zhao
MapReduce for Parallel Reinforcement Learning University of Alberta	Publication	2012-01-01	Yuxi Li, Dale Schuurmans
LINEAR COHERENT BI-CLUSTERING VIA BEAM SEARCHING AND SAMPLE SET CLUSTERING University of Alberta	Publication	2012-06-01	YI SHI, MARYAM HASAN, ZHIPENG CAI, GUOHUI LIN, Dale Schuurmans
An efficient algorithm for maximal margin clustering University of Alberta	Publication	2011-02-01	Jiming Peng, Lopamudra Mukherjee, Vikas Singh, Dale Schuurmans, Linli Xu
Real-Time Discriminative Background Subtraction University of Alberta	Publication	2011-05-01	Li Cheng, Minglun Gong, Dale Schuurmans, T Caelli
Distributed Flow Algorithms for Scalable Similarity Visualization University of Alberta	Publication	2010-12-01	Novi Quadrianto, Dale Schuurmans, Alex J. Smola
Linear Coherent Bi-cluster Discovery via Beam Detection and Sample Set Clustering University of Alberta	Publication	2010-01-01	Yi Shi, Maryam Hasan, Zhipeng Cai, Guohui Lin, Dale Schuurmans
Facility locations revisited: An efficient belief propagation approach University of Alberta	Publication	2010-08-01	Wenye Li, Linli Xu, Dale Schuurmans
A Reformulation of Support Vector Machines for General Confidence Functions University of Alberta	Publication	2009-01-01	Yuhong Guo, Dale Schuurmans
Optimal reverse prediction University of Alberta	Publication	2009-01-01	Linli Xu, Martha White, Dale Schuurmans
Inference of the structural credit risk model using MLE University of Alberta	Publication	2009-03-01	Yuxi Li, Li Cheng, Dale Schuurmans
Fast normalized cut with linear constraints University of Alberta	Publication	2009-06-01	Linli Xu, Wenye Li, Dale Schuurmans
Discriminative Maximum Margin Image Object Categorization with Exact Inference University of Alberta	Publication	2009-09-01	Qinfeng Shi, Luping Zhou, Li Cheng, Dale Schuurmans
Linear Coherent Bi-cluster Discovery via Line Detection and Sample Majority Voting University of Alberta	Publication	2009-01-01	Yi Shi, Zhipeng Cai, Guohui Lin, Dale Schuurmans
Model-Based Least-Squares Policy Evaluation University of Alberta	Publication	2003-01-01	Fletcher Lu, Dale Schuurmans
Session Boundary Detection for Association Rule Learning Using n-Gram Language Models University of Alberta	Publication	2003-01-01	Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans, Nick Cercone
Self-Supervised Chinese Word Segmentation University of Alberta	Publication	2001-01-01	Fuchun Peng, Dale Schuurmans

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Schuurmans, Dale

From AI4Society Forum

Schuurmans, Dale

Profile

Outputs

Newly named AI chairs will help advance game-changing research at U of A | Folio

Building smarter computers and maximizing human capacity | Faculty of Science

Convocation Congrats! November 22, 2017

Rouzbeh Maani, Martha White, Siamak Ravanbakhsh to receive Faculty of Science Dissertation Awards | Computing Science