Publications

For more up to date list see Google Scholar

Refereed publications

• Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel, Ali Ghodsi, Localization and Classification of Cell Nuclei in Post-Neoadjuvant Breast Cancer Surgical Specimen Using Fully Convolutional Networks (PDF), Accepted at SPIE Medical Imaging, 2018.
• Mehrdad J. Gangeh, Hadi Zarkoob, and Ali Ghodsi, Fast and Scalable Feature Selection for Gene Expression Data Using Hilbert-Schmidt Independence Criterion (PDF), IEEE/ACM Trans. on Computational Biology and Bioinformatics (TCBB), vol. 14, no. 1, pp. 167-181, 2017.
• Karimi A. H.*, Shafiee M. J., Ghodsi A., Wong A., Ensembles of Random Projections for Nonlinear Dimensionality Reduction, In Proceedings of The 3rd Conference on Vision and Imaging Systems (CVIS 2017) [ORAL - BEST PAPER RUNNER UP]
• Karimi A. H.*, Shafiee M. J., Ghodsi A., Wong A., Synthesizing Deep Neural Network Architectures using Biological Synaptic Strength Distributions, In Proceedings of Annual Conference on Cognitive Computational Neuroscience (CCN 2017) 
• Karimi A. H.*, Chung A., Shafiee M. J., Khalvati F., Haider M. A., Ghodsi A., Wong A., Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-Parametric MRI Prostate Cancer Classification, In Proceedings of The 14th International Conference on Image Analysis and Recognition (ICIAR 2017)

• Ershad Banijamali, Ali Ghodsi, Pascal Poupart, Generative Mixture of Networks (PDF), In Proceeding of 30th International Joint Conference on Neural Networks, IJCNN 2017.

• Ershad Banijamali, Ali Ghodsi, Fast Spectral Clustering using Autoencoders and Landmarks (PDF), In Proceeding of 14th International Conference on Image Analysis and Recognition, ICIAR 2017.

• Mehrdad J. Gangeh, Safa M.A. Bedawi, Ali Ghodsi, Fakhri Karray, Semi-supervised Dictionary Learning Based on Hilbert-Schmidt Independence Criterion (PDF) , International Conference on Image Analysis and Recognition (ICIAR),Póvoa de Varzim, Portugal, pp. 12-19, July 2016.

• Hassan Ashtiani*, Ali Ghodsi,  A Dimension-Independent Generalization Bound for Kernel Supervised Principal Component Analysis (PDF). to appear in the Journal of Machine Learning Research. (JMLR) 2015

• Taameem Adel*, David Balduzzi,  Ali Ghodsi, Learning the Structure of Sum-Product Networks via an SVD-based Algorithm.  In proceedings of The 31st Conference on Uncertainty in Artificial Intelligence. (UAI 2015)

• Ge Yang*, Ali Ghodsi,  Kolmogorov complexity vector: A novel data representation. In proceedings of The 24th International Joint Conference on Artificial Intelligence. (IJCNN 2015) 

• Mehrdad J. Gangeh, Ahmed K. Farahat, Ali Ghodsi, Mohamed S. Kamel, Supervised Dictionary Learning and Sparse Representation-A Review (PDF), arXiv:1502.05928, Feb. 2015.

• ​Ahmed Farahat,  Ahmed Elg ohary, Ali Ghodsi, and Mohamed Kamel, Greedy Column Subset Selection for Large-scale Data Sets (pdf).   Knowledge and Information Systems. 33 pages. (2014)

• M.J. Gangeh, P. Fewzee, A. Ghodsi, M.S. Kamel, and F. Karray. Multiview Supervised Dictionary Learning in Speech Emotion Recognition (PDF), IEEE/ACM Trans. on Audio, Speech, and Language Processing, vol. 22, no. 6, pp. 1056-1068, June 2014.
• Farahat, A.K., Elgohary, A., Ghodsi, A.and Kamel, M.S.  Distributed Column Subset Selection on MapReduce (PDF) , The Thirteenth IEEE International Conference on Data Mining (ICDM): 171-180. (2013)  – Best Paper Award Runner-up.
• Ahmed Farahat, Ali Ghodsi, and Mohamed Kamel. Efficient Greedy Feature Selection for Unsupervised Learning (PDF), Journal of Knowledge and Information Systems (KAIS). 2013, pp. 1-26.
• Ahmed Farahat, Ahmed Elgohary, Ali Ghodsi, and Mohamed Kamel. Distributed Column Subset Selection on MapReduce (PDF), Accepted in the Thirteenth IEEE International Conference on Data Mining, 2013 (ICDM 2013).
• Pooyan Khajehpour, Babak Alipanahi, Ali Ghodsi. Manifold Unfolding by Isometric Patch Alignment with an Application in Protein Structure Determination , in proceedings of workshop on Perspectives on High Dimensional Data Analysis 2013 , (CRM 2013).
• Pooyan Khajehpour, Ali Ghodsi. Low Dimensional Localized Clustering (LDLC), in proceedings of IEEE International Conference on Data Mining 2012 , (ICDM 2012).
• Fatemeh Dorri, Ali Ghodsi. Adapting Component Analysis (PDF), in proceedings of IEEE International Conference on Data Mining 2012 , (ICDM 2012).
• Mehrdad Gangeh, Ali Ghodsi, Mohamad Kamel. ”Supervised Texture Classification Using a Novel Compression-Based Similarity Measure (PDF), in proceedings of International Conference on Computer Vision and Graphics, 2012.
• Fatemeh Dorri, Ali Ghodsi. Minimizing the discrepancy between source and target domain by learning adapting components (PDF), Journal of Computer Science and Technology. (This is journal version of  Adapting Component Analysis)
• Mehrdad Gangeh, Ali Ghodsi, Mohamad Kamel. Kernelized Supervised Dictionary Learning (PDF), IEEE Transactions on Signal Processing.
• Ali-Akbar Samadani, Ali Samadani, Ali Ghodsi, and Dana Kuli´c. Discriminative functional analysis of human movements, Pattern Recognition Letters, Volume 34, Issue 15, 1 November 2013, PP 1829 - 1839.
• Mathieu Sinn, Ali Ghodsi, and Karsten Keller. Detecting Change-Points in Time Series by Maximum Mean Discrepancy of Ordinal Pattern Distributions (PDF), In proceedings of The 28^th Conference on Uncertainty in Artificial Intelligence, (UAI 2012).
• Babak Alipanahi Ramandi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson and Ming Li.Wolkowicz, Logan Donaldson and Ming Li. Determining Protein Structure by Semidefinite Facial Reduction (PDF),  In proceedings of The 16th Annual International Conference on Research in Computational Molecular Biology, (RECOMB 2012)
• Babak Alipanahi Ramandi, Nathan Krislock, Ali Ghodsi, Henry Wolkowicz, Logan Donaldson and Ming Li. Wolkowicz, Logan Donaldson and Ming Li. Determining Protein Structures from NOESY Distance Constraints by Semidefinite Programming (PDF), In The Journal of Computational Biology 2012
• Ahmed Farahat, Ali Ghodsi, and Mohamed Kamel. An Efficient Greedy Method for Unsupervised Feature Selection (PDF), In proceedings of the Eleventh IEEE International Conference on Data Mining, 2011 (ICDM 2011).
• Manda Winlaw, Leila Samimi Dehkordy and Ali Ghodsi. Robust Locally Linear Embedding using Penalty Functions, 2011 International Joint Conference on Neural Networks (IJCNN 2011)
• Sepideh Seifzadeh, Mohammad Rostami, Ali Ghodsi and Fakhri Karray. Parameter Selection for Smoothing Splines using Stein's Unbiased Risk Estimator (SURE), International Joint Conference on Neural Networks (IJCNN 2011)
• Mehrdad J. Gangeh , Ali Ghodsi, and Mohamed S. Kamel. Dictionary Learning in Texture Classification (PDF), International Conference on Image Analysis and Recognition (ICIAR 2011 )
• Ahmed K. Farehat, Ali Farehat, Ali Ghodsi, and Mohamed S. Kamel. A novel greedy algorithm for Nystrom approximation (PDF), Fourteenth International Conference on Artificial Intelligence and Statistics (AI & Statistics 2011)
• Elnaz Barshan, Ali Ghodsi, Zohreh Azimifar, and Mansoor Zolghadri. Azimifar, and Mansoor Zolghadri. Supervised Principal Component Analysis: Visualization, Classification and Regression on Subspaces and and Regression on Subspaces and Submanifolds (PDF) , Journal of Pattern Recognition.
• Babak Alipanahi, Ali Ghodsi. Guided Locally Linear Embedding (PDF), Journal of Pattern Recognition Letters, 2011
• Pooyan Khajehpour, and Ali Ghodsi. Learning an Affine Transformation for Non-linear Dimensionality Reduction (PDF), The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010).
• Stefan Pintilie, and Ali Ghodsi. Conformal Mapping by Computationally Efficient Methods (PDF), In proceedings of Twenty-Fourth National Conference on Artificial Intelligence (AAAI 2010).
• He He, and Ali Ghodsi. Rare Class Classification by Support Vector Machine (PDF), In proceedings of The Twentieth International Conference on Pattern Recognition (ICPR 2010).
• Michael Biggs, Ali Ghodsi, and Stephen Vavasis. Nonnegative Matrix Factorization via Rank-One Downdate (PDF), In proceedings of The 25th International Conference on Machine Learning (ICML 2008).
• Babak Alipanahi, Michael Biggs, and Ali Ghodsi. Distance Metric Learning Vs. Fisher Discriminant Analysis (PDF), In proceedings of Twenty-Third National Conference on Artificial Intelligence (AAAI 2008).
• Michael Biggs, Ali Ghodsi, Dana Wilkinson, and Michael Bowling. Scalable Action Respecting Embedding (PDF), In proceedings of The Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM 2008).ISAIM 2008).
• Ali Ghodsi, Dana Wilkinson, and Finnegan Southey. Finnegan Southey. Improving Embeddings by Flexible Exploitation of Side Information (PDF), In proceedings of The 20th International Joint Conference on Artificial Intelligence (IJCAI 2007).20th International Joint Conference on Artificial Intelligence (IJCAI 2007).
• Michael Bowling, Dana Wilkinson, and Ali Ghodsi. Subjective mapping, In New Scientific and Technical Advances in Research (NECTAR) of the Proceedings of the Twenty-First National Conference on Artificial Intelligence (AAAI 2006). (PDF)
• Mu Zhu and Ali Ghodsi. Automatic Dimensionality Selection from the Scree Plot via the Use of Profile Likelihood (PDF),  Journal of Computational Statistics and Data Analysis 2005.
• Ali Ghodsi, Jiayuan Huang, Finnegan Southey, and Dale Schuurmans. Finnegan Southey, and Dale Schuurmans. Tangent-Corrected Embedding (PDF), In proceedings of  International Conference on Computer Vision and Pattern Recognition (CVPR 2005)CVPR 2005)

• Michael Bowling, Ali Ghodsi, and Dana Wilkinson. Action Respecting Embedding (PDF), In proceedings of The 22nd International Conference on Machine Learning (ICML 2005).

• Dana Wilkinson, Michael Bowling, and Ali Ghodsi. Learning Subjective Representations (PDF), In proceedings of The 19th International Joint Conference on Artificial Intelligence 19th International Joint Conference on Artificial Intelligence (IJCAI 2005).
• Michael Bowling, Dana Wilkinson, Ali Ghodsi, and Adam Milstein. Milstein. Subjective Localization with Action Respecting Embedding (PDF), In proceedings of The International Symposium of Robotics Research , 2005.
• Ali Ghodsi, Jiayuan Huang, and Dale Schuurmans. Transformation-Invariant Embedding for Image Analysis (PDF), The 8th European Conference on Computer Vision (ECCV 2004).
• Ali Ghodsi, and Dale Schuurmans. Automatic Basis Selection Techniques for RBF Networks (PDF). Journal of Neural Networks. Volum 16, Issue 5-6, pp. 809-816.  (This is journal version of Automatic basis selection for RBF networks using Stein's unbiased risk estimator)
• Ali Ghodsi, and Dale Schuurmans. Automatic basis selection for RBF networks using Stein's unbiased risk estimator (PDF). International Joint Conference on Neural Networks, Volume: 1 , July 20 - 24, 2003, Page(s): 91 -95 (IJCNN 2003).
• Ali Ghodsi, and Dale Schuurmans. Automatic complexity control for system identification (PDF), International Fuzzy System Association World Conference (IFSA 2003).
• FinneganFinneganFinneganFinnegan Southey, Dale Schuurmans,and Ali Ghodsi. Regularized greedy importance sampling (PDF), Advances in Neural Information Processing Systems 2002 (NIPS 2002).

Workshops, arXiv and extended abstract

• Rene Bidart, Mehrdad J. Gangeh, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne L. Martel, Ali Ghodsi, Fully Convolutional Networks in Localization and Classification of Cell Nuclei (PDF), Accepted at the Workshop of Medical Imaging Meets, Neural Information Processing Systems (NIPS), 2017.

• Ershad Banijamali, Ahmad Khajenezhad, Ali Ghodsi, Mohmmad Ghavamzadeh, Disentangling Dynamics and Content for Control and Planing (PDF), NIPS, workshop on Learning Disentangled Features, 2017.

• Ershad Banijamali*, Amir-Hossein Karimi*, Alexander Wong, Ali Ghodsi, JADE: Joint Autoencoders for Dis-Entanglement (PDF), NIPS, Workshop on Learning Disentangled Features, 2017. (*Equal Contribution)

• Ershad Banijamali, Rui Shu,  Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi, Disentangling Dynamics and Content for Control and Planing (PDF), arXiv id:1710.05373

• Ershad Banijamali, Ali Ghodsi, Disentangling Dynamics and Content for Control and Planing (PDF), arXiv id:1605.03072

• Michael Biggs, Ali Ghodsi, and Stephen Vavasis.  Nonnegative Matrix Factorization via Rank-One Downdate (preliminary journal version),  arXiv:0805.0120, 2010
•  Pooyan Khajehpour, Babak Alipanahi, and Ali Ghodsi,  Visualization in Low Dimensional Space by Tessellation of Linear Subspaces,  Workshop of Advances in Neural Information Processing Systems (NIPS 2010).
• Ahmed Farahat, Ali Ghodsi, and Mohamed Kamel.  Greedy Nystrom Approximation (PDF), Workshop of Advances in Neural Information Processing Systems (NIPS 2010).
• Ali Ghodsi. Efficient Parameter Selection for System Identification, North American Fuzzy Information Processing Society(NAFIPS 2004)
• Dana Wilkinson, Michael Bowling, and Ali Ghodsi . Learning Subjective Representations Through Dimensionality Reduction, Workshop of Advances in Neural Information Processing Systems (NIPS2006).
•  Ali Ghodsi. Efficient Parameter Selection for System Identification,In proceedings of North American Fuzzy Information Processing Society (NAFIPS 2004).
•  R. Forth, Ali Ghodsi. An Automated Algorithm for Decline Analysis, Proceedings of the Fifth PIMS IPSW, 2001.
• Chadam, Ali Ghodsi, et al. Problems in Portfolio Analysis, Proceedings of the Fourth GMMC, 2001.

Technical reports

• Ahmed Farahat, Ali Ghodsi, and Mohamed Kamel.  Greedy Nystrom Method,  Technical Report TR-2010-11, Department of Electrical and Computer Engineering, University of Waterloo, 2010.
• Ali Ghodsi. Dimensionality Reduction, A Short Tutorial,Technical Report 2006-14, Department of Statistics and Actuarial Science, University of Waterloo, 2006.
•  Ali Ghodsi and Dale Schuurmans. Automatic Dimensionality Selection for PCA, MDS, Isomap, Kernel PCA, and LLEIsomap, Kernel PCA, and LLE, Technical Report, School of CS, School of Computer Science, University of Waterloo, 2004.
• Ali Ghodsi, Jiayuan Huang and Dale Schuurmans, Local Tangent Space Embedding (PDF), Technical Report CS-2003-32, School of Computer Science, University of Waterloo, 200

• SHS (ZIP)