Ali Ghodsi
According to our database1,
Ali Ghodsi
authored at least 54 papers
between 2002 and 2019.
Collaborative distances:
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at uwaterloo.ca
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Bibliography
2019
Sentiment analysis based on improved pre-trained word embeddings.
Expert Syst. Appl., 2019
2018
Localization and classification of cell nuclei in post-neoadjuvant breast cancer surgical specimen using fully convolutional networks.
Proceedings of the Medical Imaging 2018: Digital Pathology, 2018
Distance Correlation Autoencoder.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Nonnegative Matrix Factorization Using Autoencoders And Exponentiated Gradient Descent.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Robust Locally-Linear Controllable Embedding.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion.
IEEE/ACM Trans. Comput. Biology Bioinform., 2017
Sparse supervised principal component analysis (SSPCA) for dimension reduction and variable selection.
Eng. Appl. of AI, 2017
Generative mixture of networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
Fast Spectral Clustering Using Autoencoders and Landmarks.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017
2016
Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion.
Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016
2015
Greedy column subset selection for large-scale data sets.
Knowl. Inf. Syst., 2015
Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015
A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
Kolmogorov complexity vector: A novel data representation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Multiview Supervised Dictionary Learning in Speech Emotion Recognition.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2014
Minimizing the Discrepancy Between Source and Target Domains by Learning Adapting Components.
J. Comput. Sci. Technol., 2014
2013
Kernelized Supervised Dictionary Learning.
IEEE Trans. Signal Processing, 2013
Discriminative functional analysis of human movements.
Pattern Recognition Letters, 2013
Efficient greedy feature selection for unsupervised learning.
Knowl. Inf. Syst., 2013
Determining Protein Structures from NOESY Distance Constraints by Semidefinite Programming.
Journal of Computational Biology, 2013
Distributed Column Subset Selection on MapReduce.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
Information-centric networking - Ready for the real world? (Dagstuhl Seminar 12361).
Dagstuhl Reports, 2012
Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012
Protein Structure by Semidefinite Facial Reduction.
Proceedings of the Research in Computational Molecular Biology, 2012
Low Dimensional Localized Clustering (LDLC).
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Adapting Component Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Supervised Texture Classification Using a Novel Compression-Based Similarity Measure.
Proceedings of the Computer Vision and Graphics - International Conference, 2012
2011
Guided Locally Linear Embedding.
Pattern Recognition Letters, 2011
Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds.
Pattern Recognition, 2011
A novel greedy algorithm for Nyström approximation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
Robust locally linear embedding using penalty functions.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Dictionary Learning in Texture Classification.
Proceedings of the Image Analysis and Recognition - 8th International Conference, 2011
An Efficient Greedy Method for Unsupervised Feature Selection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011
2010
Learning an Affine Transformation for Non-linear Dimensionality Reduction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Rare Class Classification by Support Vector Machine.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Conformal Mapping by Computationally Efficient Methods.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Towards Robust Peer Counting.
Proceedings of the Proceedings P2P 2009, 2009
2008
Scalable Action Respecting Embedding.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008
Nonnegative matrix factorization via rank-one downdate.
Proceedings of the Machine Learning, 2008
Distance Metric Learning Versus Fisher Discriminant Analysis.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008
2007
Improving Embeddings by Flexible Exploitation of Side Information.
Proceedings of the IJCAI 2007, 2007
2006
Nonlinear Dimensionality Reduction with Side Information.
PhD thesis, 2006
Automatic dimensionality selection from the scree plot via the use of profile likelihood.
Computational Statistics & Data Analysis, 2006
Fast Freenet: Improving Freenet Performance by Preferential Partition Routing and File Mesh Propagation.
Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006), 2006
Subjective Mapping.
Proceedings of the Proceedings, 2006
2005
Subjective Localization with Action Respecting Embedding.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005
Learning Subjective Representations for Planning.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005
Action respecting embedding.
Proceedings of the Machine Learning, 2005
Tangent-Corrected Embedding.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005
2004
Transformation-Invariant Embedding for Image Analysis.
Proceedings of the Computer Vision, 2004
2003
Automatic basis selection techniques for RBF networks.
Neural Networks, 2003
2002
Regularized Greedy Importance Sampling.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002