Department of Computer Engineering
Sharif University of Technology

Mahdieh Soleymani Baghshah, PhD

 

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Journal Papers:

 

  1. M. Gheisari, M. Soleymani Baghshah, “Joint predictive model and representation learning for visual domain adaptation”, Engineering Applications of Artificial Intelligence 58 (2017) 157-170.

  2. Amirhossein Akbarnejad, M. Soleymani Baghshah, “A Probabilistic Multi-label Classifier with Missing and Noisy Labels Handling Capability”, Pattern Recognition Letters (2017).

  3. Seyed Mahdi Roostaiyan, Ehsan Imani, Mahdieh Soleymani Baghshah, “Multi-Modal Deep Distance Metric Learning”, Intelligent Data Analysis (2017).

  4. A. Bitarafan, M. Soleymani Baghshah, M. Gheisari, "Incremental Evolving Domain Adaptation", IEEE Trans. on Knowledge and Data Engineering 28(8) (2016) 2128-2141.

  5. M. Gheisari, M. Soleymani Baghshah, “Unsupervised domain adaptation via representation learning and adaptive classifier learning”, Neurocomputing (2015).

  6. M. Soleymani Baghshah, F. Afsari, S. Bagheri Shouraki, and E. Eslami, “Scalable semi-supervised clustering by spectral kernel learning”, (Elsevier) Pattern Recognition Letters 45 (2014) 161-171.

  7. M. Soleymani Baghshah and S. Bagheri Shouraki, “Learning Low-Rank Kernel Matrices for Constrained Clustering”, (Elsevier) Neurocomputing 74 (2011) 2201-2211.

  8. M. Soleymani Baghshah and S. Bagheri Shouraki, “Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data”, Pattern Recognition 43 (2010) 2982-2992.

  9. M. Soleymani Baghshah and S. Bagheri Shouraki, “Kernel-based metric learning for semi-supervised clustering”, Neurocomputing 73 (2010) 1352-1361.

  10. M. Soleymani Baghshah and S. Bagheri Shouraki, “Metric learning for semi-supervised clustering using pairwise constraints and the geometrical structure of data”, Intelligent Data Analysis – An International Journal 13(6) (2009) 887-899.

  11. M. Soleymani Baghshah and S. Kasaei, “An FPCA-based color morphological filter for noise removal”, Scientia Iranica 16(1) (2009) 8-18.

Conference Papers:

 

  1. F. Farahnak, M. Soleymani Baghshah, "Multi-label Classification with Feature-aware Implicit Encoding and Generalized Cross-entropy Loss", The 24th Iranian Conference on Electrical Engineering (ICEE), Shiraz, Iran, 2016.

  2. S. Rastegar, M. Soleymani Baghshah, H. R. Rabiee, and S. M. Shojaee, "MDL-CW: A Multimodal Deep Learning Framework with Cross Weights", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, 2016.

  3. A. Aghaee, M. Ghadiri, M. Soleymani Baghshah, "Active Distance-Based Clustering using K-medoids", 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016.

  4. A. Rezaei, S. Mahlouji Far, M. Soleymani Baghshah, "Near linear-time community detection in networks with hardly detectable community structure", pages 65-72, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 253-264, 2015.

  5. B. Babagholami, S.M. Roostaiyan, A. Zarghami, M. Soleymani Baghshah, "Multi-modal distance metric learning: a Bayesian non-parametric approach", European Conference on Computer Vision (ECCV) Workshop (Task-CV), 2014.

  6. B. Babagholami, A. Zarghami, M. Zolfaghari, and M. Soleymani Baghshah, "Probabilistic Semi-Supervised Dictionary Learning", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), pp. 192-207, Prague, 2013.

  7. B. Babagholami, A. Zarghami, A. Bagheri-Khaligh, and M. Soleymani Baghshah, "Supervised Dictionary Learning Using Distance Dependent Indian Buffet process", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), United Kingdom, 2013.

  8. M. Montazeri, A. Bahrololoum, H. Nezamabadi-pour, M. Soleymani Baghshah, and M. Montazeri, “Cooperating of Local Searches based Hyper-Heuristic Approach for Solving Traveling Salesman Problem”, Third International Conference on Evolutionary Computation Theory and Applications (ECTA-11), pp. 329-332, Paris, France, 2011.

  9. M. Soleymani Baghshah and S. Bagheri Shouraki, “Efficient Kernel Learning from Constraints and Unlabeled Data”, 20th International Conference on Pattern Recognition (ICPR-10), pp. 3364-3367, Istanbul, Turkey, 2010.

  10. M. Soleymani Baghshah and S. Bagheri Shouraki, “Low-Rank Kernel Learning for Semi-supervised Clustering”, 9th IEEE International Conference on Cognitive Informatics (ICCI-10), pp. 567-572, Hong Kong, China, 2010.

  11. M. Soleymani Baghshah and S. Bagheri Shouraki, “Semi-supervised metric learning using pairwise constraints”, 21st International Joint Conference on Artificial Intelligence (IJCAI-09), pp. 1217-1222, California, USA, 2009.

  12. M. Soleymani Baghshah and S. Bagheri Shouraki, “A Fuzzy Clustering Algorithm for Finding Arbitrary Shaped Clusters”, 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-08), pp. 559-566, Doha, Qatar, 2008.

  13. M. Soleymani Baghshah, S. Bagheri Shouraki, and C. Lucas, “An Agent-Based Clustering Algorithm using Potential Fields”, 6th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-08), pp. 551-558, Doha, Qatar, 2008.

  14. M. Soleymani Baghshah, S. Bagheri Shouraki, “Finding Arbitrary Shaped Clusters and Color Image Segmentation”, IEEE Congress on Image and Signal Processing (CISP-08), pp. 593-597, Sanya, Hainan, China, 2008.

  15. M. Soleymani Baghshah, S. Bagheri Shouraki, “A Novel Semi-Supervised Clustering Algorithm for Finding Clusters of Arbitrary Shapes”, 13th Annual CSI Computer Conference (CISCC-08), pp. 876-879, Kish Island, Iran, 2008.

  16. M. Soleymani Baghshah, S. Bagheri Shouraki, R. Halavati, C. Lucas, “Evolving Fuzzy Classifiers Using a Symbiotic Approach”, IEEE Congress on Evolutionary Computation (CEC-07), pp. 1601-1607, Singapore, 2007.

  17. M. Soleymani Baghshah, S. Bagheri Souraki, S. Kasaei, “A Novel Fuzzy Approach to Recognition of Online Persian Handwriting”, 5th International Conference on Intelligent Systems Design and Applications (ISDA-05), pp. 268-273, Wroclaw, Poland, 2005.

  18. M. Soleymani Baghshah, S. Bagheri Souraki, S. Kasaei, “A Novel Fuzzy Classifier Using Fuzzy LVQ to Recognize Online Persian Handwriting”, Second IEEE Internatoional Conference on Information & Communication Technologies (ICTTA-06), pp. 1878-1883, Damascus, Syria, 2006.

  19. R. Halavati, M. Jamzad, M. Soleymani, “A Novel Approach to Persian Online Hand Writing Recognition”, 3rd World Enformatika Conference (WEC-05), Istanbul, Turkey, 2005.

  20. R. Halavati, S. B. Souraki, M. Soleymani, “Persian Online Handwriting Recognition Using Fuzzy Modeling”, 11th IFSA World Congress (IFSA-05), Beijing, China, 2005.

  21. F. Darageh, H. Nezamabadipour, M. Soleymani Baghshah, Image Edge Detection Using a Gravitational Search Algorithm, 20th Iranian Conference on Electrical Engineering (ICEE'12), Tehran, Iran, 2012. [In Persian]

  22. M. Montazeri, M. Soleymani Baghshah, A. Niknafs, "Feature Selection Using a Hyper-Heuristic Approach", Fifth Iran Data Mining Conference (IDMC-11), Tehran, Iran, 2011. [In Persian]

  23. M. Soleymani Baghshah, S. Bagheri Souraki, S. Kasaei, “Online Persian Isolated Handwriting Character Recognition and Learning Using Fuzzy Methods”, 14th Iranian Conference on Electrical Engineering (ICEE-06). [In Persian]

  24. M. Soleymani Baghshah, M. Jamzad, "Improving edge detecting algorithms performance by setting a supporting relation between edges", Third conference on Machine Vision and Image Processing (MVIP-05), Tehran, Iran, 2005. [In Persian]