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    First name: Hamid R.
    Last name: Tizhoosh
    DBLP: 70/966
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    Conference paper
    Morteza Babaie, Hamid R. Tizhoosh, Shujin Zhu, M. E. Shiri.
    Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu, Dun Huang, Hadi Tadayyon, Gregory J. Czarnota.
    Tumour Ellipsification in Ultrasound Images for Treatment Prediction in Breast Cancer.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Micro-differential evolution: Diversity enhancement and a comparative study.
    Appl. Soft Comput. 2017, Volume 52 (0) 2017
    Conference paper
    Mehrdad J. Gangeh, Hamid R. Tizhoosh, Kan Wu, Dun Huang, Hadi Tadayyon, Gregory J. Czarnota.
    Tumour ellipsification in ultrasound images for treatment prediction in breast cancer.
    2017 IEEE EMBS International Conference on Biomedical Health Informatics, BHI 2017, Orland, FL, USA, February 16-19, 2017 2017 (0) 2017
    Conference paper
    Morteza Babaie, Hamid R. Tizhoosh, Shujin Zhu, M. E. Shiri.
    Retrieving Similar X-ray Images from Big Image Data using Radon Barcodes with Single Projections.
    Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2017, Porto, Portugal, February 24-26, 2017. 2017 (0) 2017
    Conference paper
    Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Seyed Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Classification and Retrieval of Digital Pathology Scans: A New Dataset.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Seyed Amin Khatami, Morteza Babaie, Abbas Khosravi, Hamid R. Tizhoosh, Syed Moshfeq Salaken, Saeid Nahavandi.
    A deep-structural medical image classification for a Radon-based image retrieval.
    30th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2017, Windsor, ON, Canada, April 30 - May 3, 2017 2017 (0) 2017
    Conference paper
    Hamid R. Tizhoosh, Mehrdad J. Gangeh, Hadi Tadayyon, Gregory J. Czarnota.
    Tumour ROI Estimation in Ultrasound Images via Radon Barcodes in Patients with Locally Advanced Breast Cancer.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Farzad Khalvati, Aryan Salmanpour, Shahryar Rahnamayan, Masoom A. Haider, Hamid R. Tizhoosh.
    Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes.
    J. Digital Imaging 2016, Volume 29 (0) 2016
    Conference paper
    Shujin Zhu, Hamid R. Tizhoosh.
    Radon Features and Barcodes for Medical Image Retrieval via SVM.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Evolutionary Projection Selection for Radon Barcodes.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Antonio Sze-To, Hamid R. Tizhoosh, Andrew K. C. Wong.
    Binary Codes for Tagging X-Ray Images via Deep De-Noising Autoencoders.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Xinran Liu, Hamid R. Tizhoosh, Jonathan Kofman.
    Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Hamid R. Tizhoosh, Ahmed A. Othman.
    Anatomy-Aware Measurement of Segmentation Accuracy.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Mina Nouredanesh, Hamid R. Tizhoosh, Seyed Ershad Banijamali.
    Gabor Barcodes for Medical Image Retrieval.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Automated Resolution Selection for Image Segmentation.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Hamid R. Tizhoosh, Mehrdad J. Gangeh, Hadi Tadayyon, Gregory J. Czarnota.
    Tumour ROI estimation in ultrasound images via radon barcodes in patients with locally advanced breast cancer.
    13th IEEE International Symposium on Biomedical Imaging, ISBI 2016, Prague, Czech Republic, April 13-16, 2016 2016 (0) 2016
    Conference paper
    Hamid R. Tizhoosh, Ahmed A. Othman.
    Anatomy-aware measurement of segmentation accuracy.
    Medical Imaging 2016: Image Processing, San Diego, California, USA, February 27, 2016 2016 (0) 2016
    Conference paper
    Hamid R. Tizhoosh, Christopher Mitcheltree, Shujin Zhu, Shamak Dutta.
    Barcodes for Medical Image Retrieval Using Autoencoded Radon Transform.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Mina Nouredanesh, Hamid R. Tizhoosh, Seyed Ershad Banijamali, James Tung.
    Radon-Gabor Barcodes for Medical Image Retrieval.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Learning Opposites Using Neural Networks.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    S. Sharma, I. Umar, L. Ospina, D. Wong, Hamid R. Tizhoosh.
    Stacked Autoencoders for Medical Image Search.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Hamid R. Tizhoosh, Shujin Zhu, Hanson Lo, Varun Chaudhari, Tahmid Mehdi.
    MinMax Radon Barcodes for Medical Image Retrieval.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Shujin Zhu, Hamid R. Tizhoosh.
    Radon features and barcodes for medical image retrieval via SVM.
    2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016 2016 (0) 2016
    Conference paper
    Antonio Sze-To, Hamid R. Tizhoosh, Andrew K. C. Wong.
    Binary codes for tagging x-ray images via deep de-noising autoencoders.
    2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016 2016 (0) 2016
    Conference paper
    Xinran Liu, Hamid R. Tizhoosh, Jonathan Kofman.
    Generating binary tags for fast medical image retrieval based on convolutional nets and Radon Transform.
    2016 International Joint Conference on Neural Networks, IJCNN 2016, Vancouver, BC, Canada, July 24-29, 2016 2016 (0) 2016
    Conference paper
    Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Evolutionary projection selection for Radon barcodes.
    IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, BC, Canada, July 24-29, 2016 2016 (0) 2016
    Conference paper
    Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Exploration enhancement in ensemble micro-differential evolution.
    IEEE Congress on Evolutionary Computation, CEC 2016, Vancouver, BC, Canada, July 24-29, 2016 2016 (0) 2016
    Conference paper
    S. Sharma, I. Umar, L. Ospina, D. Wong, Hamid R. Tizhoosh.
    Stacked Autoencoders for Medical Image Search.
    Advances in Visual Computing - 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Hamid R. Tizhoosh, Shujin Zhu, Hanson Lo, Varun Chaudhari, Tahmid Mehdi.
    MinMax Radon Barcodes for Medical Image Retrieval.
    Advances in Visual Computing - 12th International Symposium, ISVC 2016, Las Vegas, NV, USA, December 12-14, 2016, Proceedings, Part I 2016 (0) 2016
    Conference paper
    Mina Nouredanesh, Hamid R. Tizhoosh, Seyed Ershad Banijamali.
    Gabor barcodes for medical image retrieval.
    2016 IEEE International Conference on Image Processing, ICIP 2016, Phoenix, AZ, USA, September 25-28, 2016 2016 (0) 2016
    Conference paper
    Hamid R. Tizhoosh, Christopher Mitcheltree, Shujin Zhu, Shamak Dutta.
    Barcodes for medical image retrieval using autoencoded Radon transform.
    23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016 2016 (0) 2016
    Conference paper
    Mina Nouredanesh, Hamid R. Tizhoosh, Seyed Ershad Banijamali, James Tung.
    Radon-Gabor barcodes for medical image retrieval.
    23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016 2016 (0) 2016
    Conference paper
    Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Learning opposites using neural networks.
    23rd International Conference on Pattern Recognition, ICPR 2016, Cancún, Mexico, December 4-8, 2016 2016 (0) 2016
    Journal article
    Farzad Khalvati, Mark Aagaard, Hamid R. Tizhoosh.
    Window memoization: toward high-performance image processing software.
    J. Real-Time Image Processing 2015, Volume 10 (0) 2015
    Journal article
    Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati.
    Evolving Fuzzy Image Segmentation with Self-Configuration.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Learning Opposites with Evolving Rules.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Hamid R. Tizhoosh.
    Barcode Annotations for Medical Image Retrieval: A Preliminary Investigation.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati.
    Autoencoding the Retrieval Relevance of Medical Images.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati.
    Self-Configuring and Evolving Fuzzy Image Thresholding.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati.
    Medical Image Classification via SVM using LBP Features from Saliency-Based Folded Data.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Learning opposites with evolving rules.
    2015 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, Istanbul, Turkey, August 2-5, 2015 2015 (0) 2015
    Conference paper
    Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Micro-Differential Evolution: Diversity Enhancement and Comparative Study.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Hamid R. Tizhoosh.
    Barcode annotations for medical image retrieval: A preliminary investigation.
    2015 IEEE International Conference on Image Processing, ICIP 2015, Quebec City, QC, Canada, September 27-30, 2015 2015 (0) 2015
    Conference paper
    Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati.
    Autoencoding the retrieval relevance of medical images.
    2015 International Conference on Image Processing Theory, Tools and Applications, IPTA 2015, Orleans, France, November 10-13, 2015 2015 (0) 2015
    Conference paper
    Zehra Camlica, Hamid R. Tizhoosh, Farzad Khalvati.
    Medical Image Classification via SVM Using LBP Features from Saliency-Based Folded Data.
    14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015 2015 (0) 2015
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati.
    Self-Configuring and Evolving Fuzzy Image Thresholding.
    14th IEEE International Conference on Machine Learning and Applications, ICMLA 2015, Miami, FL, USA, December 9-11, 2015 2015 (0) 2015
    Journal article
    Ahmed A. Othman, Hamid R. Tizhoosh, Farzad Khalvati.
    EFIS - Evolving Fuzzy Image Segmentation.
    IEEE T. Fuzzy Systems 2014, Volume 22 (0) 2014
    Journal article
    Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam.
    Oppositional extension of reinforcement learning techniques.
    Inf. Sci. 2014, Volume 275 (0) 2014
    Conference paper
    Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen.
    Micro-differential evolution with vectorized random mutation factor.
    Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2014, Beijing, China, July 6-11, 2014 2014 (0) 2014
    Conference paper
    Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Type-II opposition-based differential evolution.
    Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2014, Beijing, China, July 6-11, 2014 2014 (0) 2014
    Conference paper
    Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Multi-Resolution Level Sets with Shape Priors: A Validation Report for 2D Segmentation of Prostate Gland in T2W MR Images.
    J. Digital Imaging 2014, Volume 27 (0) 2014
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh.
    N-cuts parameter adjustment using evolving fuzzy inferencing.
    FUZZ-IEEE 2013, IEEE International Conference on Fuzzy Systems, Hyderabad, India, 7-10 July, 2013, Proceedings. 2013 (0) 2013
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh.
    Image classification using evolving fuzzy inference systems.
    Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013, Edmonton, Alberta, Canada, June 24-28, 2013 2013 (0) 2013
    Conference paper
    S. S. Mohamed, J. M. Li, Magdy M. A. Salama, George H. Freeman, Hamid R. Tizhoosh, A. Fenster, K. Rizkalla.
    An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the Prostate.
    J. Digital Imaging 2011, Volume 24 (0) 2011
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh.
    Evolving fuzzy image segmentation.
    FUZZ-IEEE 2011, IEEE International Conference on Fuzzy Systems, Taipei, Taiwan, 27-30 June, 2011, Proceedings 2011 (0) 2011
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh.
    Segmentation of Breast Ultrasound Images Using Neural Networks.
    Engineering Applications of Neural Networks - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings Part I 2011 (0) 2011
    Conference paper
    Farzad Khalvati, Mehdi Kianpour, Hamid R. Tizhoosh.
    Cascaded Window Memoization for Medical Imaging.
    Artificial Intelligence Applications and Innovations - 12th INNS EANN-SIG International Conference, EANN 2011 and 7th IFIP WG 12.5 International Conference, AIAI 2011, Corfu, Greece, September 15-18, 2011, Proceedings, Part II 2011 (0) 2011
    Conference paper
    Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Multi-resolution level set image segmentation using wavelets.
    18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011 2011 (0) 2011
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh.
    Neural image thresholding with SIFT-Controlled gabor features.
    The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011 2011 (0) 2011
    Journal article
    Mario Ventresca, Shahryar Rahnamayan, Hamid R. Tizhoosh.
    A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918].
    Appl. Soft Comput. 2010, Volume 10 (0) 2010
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh.
    A Neural Approach to Image Thresholding.
    Artificial Neural Networks - ICANN 2010 - 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part I 2010 (0) 2010
    Conference paper
    Soumya Banerjee, Hamid R. Tizhoosh.
    Visualization of hidden structures in corporate failure prediction using opposite pheromone per node model.
    Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2010, Barcelona, Spain, 18-23 July 2010 2010 (0) 2010
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh.
    Neural Image Thresholding Using SIFT: A Comparative Study.
    Advanced Concepts for Intelligent Vision Systems - 12th International Conference, ACIVS 2010, Sydney, Australia, December 13-16, 2010, Proceedings, Part I 2010 (0) 2010
    Conference paper
    Ahmed A. Othman, Hamid R. Tizhoosh.
    Image thresholding using neural network.
    10th International Conference on Intelligent Systems Design and Applications, ISDA 2010, November 29 - December 1, 2010, Cairo, Egypt 2010 (0) 2010
    Conference paper
    Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Oppositional fuzzy image thresholding.
    FUZZ-IEEE 2010, IEEE International Conference on Fuzzy Systems, Barcelona, Spain, 18-23 July, 2010, Proceedings 2010 (0) 2010
    Conference paper
    Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan.
    Opposition based computing - A survey.
    International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 18-23 July, 2010 2010 (0) 2010
    Journal article
    Humberto Bustince, Miguel Pagola, Edurne Barrenechea Tartas, Javier Fernández, Pedro Melo-Pinto, Pedro A. Mogadouro do Couto, Hamid R. Tizhoosh, Javier Montero.
    Ignorance functions. An application to the calculation of the threshold in prostate ultrasound images.
    Fuzzy Sets and Systems 2010, Volume 161 (0) 2010
    Conference paper
    Mario Ventresca, Hamid R. Tizhoosh.
    Improving gradient-based learning algorithms for large scale feedforward networks.
    International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009 2009 (0) 2009
    Conference paper
    Hamid R. Tizhoosh, Farhang Sahba.
    Quasi-global oppositional fuzzy thresholding.
    FUZZ-IEEE 2009, IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, 20-24 August 2009, Proceedings 2009 (0) 2009
    Conference paper
    Hamid R. Tizhoosh.
    Adaptive λ-enhancement: Type I versus type II fuzzy implementation.
    2009 IEEE Symposium on Computational Intelligence for Image Processing, CIIP 2009, Nashville, TN, USA, April 2, 2009 2009 (0) 2009
    Conference paper
    Farzad Khalvati, Hamid R. Tizhoosh.
    An efficient architecture for hardware implementations of image processing algorithms.
    2009 IEEE Symposium on Computational Intelligence for Image Processing, CIIP 2009, Nashville, TN, USA, April 2, 2009 2009 (0) 2009
    Conference paper
    Farzad Khalvati, Hamid R. Tizhoosh, Arsen R. Hajian.
    Increasing Computational Redundancy of Digital Images via Multiresolutional Matching.
    Image Analysis and Recognition, 6th International Conference, ICIAR 2009, Halifax, Canada, July 6-8, 2009. Proceedings 2009 (0) 2009
    Conference paper
    Miguel Pagola, Edurne Barrenechea Tartas, Aranzazu Jurio, Mikel Galar, Pedro A. Mogadouro do Couto, Farhang Sahba, Hamid R. Tizhoosh.
    Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images.
    Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009 2009 (0) 2009
    Conference paper
    Hamid R. Tizhoosh.
    Opposite Fuzzy Sets with Applications in Image Processing.
    Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, Lisbon, Portugal, July 20-24, 2009 2009 (0) 2009
    Conference paper
    Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel.
    Oppositional target domain estimation using grid-based simulation.
    Appl. Soft Comput. 2009, Volume 9 (0) 2009
    Conference paper
    Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama.
    Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples.
    JACIII 2009, Volume 13 (0) 2009
    Conference paper
    Kaveh Houshmand, Hamid R. Tizhoosh.
    Filtering and fusion of THz images for defect detection in composite materials.
    FUZZ-IEEE 2008, IEEE International Conference on Fuzzy Systems, Hong Kong, China, 1-6 June, 2008, Proceedings 2008 (0) 2008
    Journal article
    Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama.
    Application of reinforcement learning for segmentation of transrectal ultrasound images.
    BMC Medical Imaging 2008, Volume 8 (0) 2008
    Conference paper
    Mario Ventresca, Hamid R. Tizhoosh.
    Numerical condition of feedforward networks with opposite transfer functions.
    Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008 2008 (0) 2008
    Conference paper
    Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel.
    Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments.
    Proceedings of the International Joint Conference on Neural Networks, IJCNN 2008, part of the IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, China, June 1-6, 2008 2008 (0) 2008
    Conference paper
    Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Image thresholding using micro opposition-based Differential Evolution (Micro-ODE).
    Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2008, June 1-6, 2008, Hong Kong, China 2008 (0) 2008
    Conference paper
    Maryam Shokri, Hamid R. Tizhoosh.
    A reinforcement agent for threshold fusion.
    Appl. Soft Comput. 2008, Volume 8 (0) 2008
    Conference paper
    Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama.
    Opposition versus randomness in soft computing techniques.
    Appl. Soft Comput. 2008, Volume 8 (0) 2008
    Conference paper
    Farhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama.
    A reinforcement agent for object segmentation in ultrasound images.
    Expert Syst. Appl. 2008, Volume 35 (0) 2008
    Conference paper
    Mario Ventresca, Hamid R. Tizhoosh.
    A diversity maintaining population-based incremental learning algorithm.
    Inf. Sci. 2008, Volume 178 (0) 2008
    Conference paper
    Hamid R. Tizhoosh.
    Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics.
    Pattern Recognition 2008, Volume 41 (0) 2008
    Conference paper
    Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama.
    Opposition-Based Differential Evolution.
    IEEE Trans. Evolutionary Computation 2008, Volume 12 (0) 2008
    Book chapter
    Farhang Sahba, Hamid R. Tizhoosh.
    Opposite Actions in Reinforced Image Segmentation.
    Oppositional Concepts in Computational Intelligence 2008, Volume 155 (0) 2008
    Book chapter
    Shahryar Rahnamayan, Hamid R. Tizhoosh.
    Differential Evolution Via Exploiting Opposite Populations.
    Oppositional Concepts in Computational Intelligence 2008, Volume 155 (0) 2008
    Book chapter
    Hamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan.
    Opposition-Based Computing.
    Oppositional Concepts in Computational Intelligence 2008, Volume 155 (0) 2008
    Book chapter
    Hamid R. Tizhoosh, Mario Ventresca.
    Introduction.
    Oppositional Concepts in Computational Intelligence 2008, Volume 155 (0) 2008
    Book chapter
    Maryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel.
    The Concept of Opposition and Its Use in Q-Learning and Q(lambda) Techniques.
    Oppositional Concepts in Computational Intelligence 2008, Volume 155 (0) 2008
    Book chapter
    Mario Ventresca, Hamid R. Tizhoosh.
    Two Frameworks for Improving Gradient-Based Learning Algorithms.
    Oppositional Concepts in Computational Intelligence 2008, Volume 155 (0) 2008
    Book chapter
    Masoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam.
    Opposition Mining in Reservoir Management.
    Oppositional Concepts in Computational Intelligence 2008, Volume 155 (0) 2008
    Book chapter
    Hamid R. Tizhoosh.
    Type II Fuzzy Image Segmentation.
    Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision 2008, Volume 220 (0) 2008
    Journal article
    Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama.
    A novel population initialization method for accelerating evolutionary algorithms.
    Computers Mathematics with Applications 2007, Volume 53 (0) 2007
    Conference paper
    Alice R. Malisia, Hamid R. Tizhoosh.
    Applying Opposition-Based Ideas to the Ant Colony System.
    2007 IEEE Swarm Intelligence Symposium, SIS 2007, Honolulu, Hawaii, USA, April 1-5, 2007 2007 (0) 2007
    Conference paper
    Xianghai Wu, Jonathan Kofman, Hamid R. Tizhoosh.
    Active exploratory q-learning for large problems.
    Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Montréal, Canada, 7-10 October 2007 2007 (0) 2007
    Conference paper
    Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama.
    Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate.
    Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, FOCI 2007, part of the IEEE Symposium Series on Computational Intelligence 2007, Honolulu, Hawaii, USA, 1-5 April 2007 2007 (0) 2007
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