Hamid R. Tizhoosh - researchr alias

researchr

You are not signed in
Sign in
Sign up

2011

An Automated Neural-Fuzzy Approach to Malignant Tumor Localization in 2D Ultrasonic Images of the ProstateSamar Samir Mohamed, J. M. Li, Magdy M. A. Salama, George H. Freeman, Hamid R. Tizhoosh, A. Fenster, K. Rizkalla. jdi, 24(3):411-423, 2011. [doi]

2010

Visualization of hidden structures in corporate failure prediction using opposite pheromone per node modelSoumya Banerjee, Hamid R. Tizhoosh. cec 2010: 1-5 [doi]

Image thresholding using neural networkAhmed A. Othman, Hamid R. Tizhoosh. isda 2010: 1159-1164 [doi]

Neural Image Thresholding Using SIFT: A Comparative StudyAhmed A. Othman, Hamid R. Tizhoosh. acivs 2010: 38-49 [doi]

A Neural Approach to Image ThresholdingAhmed A. Othman, Hamid R. Tizhoosh. icann 2010: 561-564 [doi]

Ignorance functions. An application to the calculation of the threshold in prostate ultrasound imagesHumberto Bustince Sola, Miguel Pagola, Edurne Barrenechea Tartas, Javier Fernández, Pedro Melo-Pinto, Pedro Couto, Hamid R. Tizhoosh, Javier Montero. fss, 161(1):20-36, 2010. [doi]

A note on Opposition versus randomness in soft computing techniques [Appl. Soft Comput 8 (2) (2008) 906-918]Mario Ventresca, Shahryar Rahnamayan, Hamid R. Tizhoosh. asc, 10(3):956-957, 2010. [doi]

2009

Increasing Computational Redundancy of Digital Images via Multiresolutional MatchingFarzad Khalvati, Hamid R. Tizhoosh, Arsen R. Hajian. iciar 2009: 146-157 [doi]

Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound ImagesMiguel Pagola, Edurne Barrenechea Tartas, Aranzazu Jurio, Mikel Galar, Pedro Couto, Farhang Sahba, Hamid R. Tizhoosh. eusflat 2009: 1164-1168 [doi]

Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth SamplesShahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama. jaciii, 13(2):115-127, 2009. [doi]

Oppositional target domain estimation using grid-based simulationMaryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel. asc, 9(1):423-430, 2009. [doi]

Opposite Fuzzy Sets with Applications in Image ProcessingHamid R. Tizhoosh. eusflat 2009: 36-41 [doi]

Improving gradient-based learning algorithms for large scale feedforward networksMario Ventresca, Hamid R. Tizhoosh. ijcnn 2009: 3212-3219 [doi]

2008

Opposition Mining in Reservoir ManagementMasoud Mahootchi, Hamid R. Tizhoosh, Kumaraswamy Ponnambalam. In Hamid R. Tizhoosh, Mario Ventresca, editors, Oppositional Concepts in Computational Intelligence. Volume 155 of Studies in Computational Intelligence, pages 299-321, Springer, 2008. [doi]

Opposition versus randomness in soft computing techniquesShahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama. asc, 8(2):906-918, 2008. [doi]

Differential Evolution Via Exploiting Opposite PopulationsShahryar Rahnamayan, Hamid R. Tizhoosh. In Hamid R. Tizhoosh, Mario Ventresca, editors, Oppositional Concepts in Computational Intelligence. Volume 155 of Studies in Computational Intelligence, pages 143-160, Springer, 2008. [doi]

Image thresholding using micro opposition-based Differential Evolution (Micro-ODE)Shahryar Rahnamayan, Hamid R. Tizhoosh. cec 2008: 1409-1416 [doi]

Opposition-Based Differential EvolutionShahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama. tec, 12(1):64-79, 2008. [doi]

Opposite Actions in Reinforced Image SegmentationFarhang Sahba, Hamid R. Tizhoosh. In Hamid R. Tizhoosh, Mario Ventresca, editors, Oppositional Concepts in Computational Intelligence. Volume 155 of Studies in Computational Intelligence, pages 287-297, Springer, 2008. [doi]

A reinforcement agent for object segmentation in ultrasound imagesFarhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama. eswa, 35(3):772-780, 2008. [doi]

A reinforcement agent for threshold fusionMaryam Shokri, Hamid R. Tizhoosh. asc, 8(1):174-181, 2008. [doi]

The Concept of Opposition and Its Use in Q-Learning and Q(lambda) TechniquesMaryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel. In Hamid R. Tizhoosh, Mario Ventresca, editors, Oppositional Concepts in Computational Intelligence. Volume 155 of Studies in Computational Intelligence, pages 233-253, Springer, 2008. [doi]

Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environmentsMaryam Shokri, Hamid R. Tizhoosh, Mohamed S. Kamel. ijcnn 2008: 2915-2921 [doi]

Type II Fuzzy Image SegmentationHamid R. Tizhoosh. In Humberto Bustince Sola, Francisco Herrera, Javier Montero, editors, Fuzzy Sets and Their Extensions: Representation, Aggregation and Models - Intelligent Systems from Decision Making to Data Mining, Web Intelligence and Computer Vision. Volume 220 of Studies in Fuzziness and Soft Computing, pages 607-619, Springer, 2008. [doi]

IntroductionHamid R. Tizhoosh, Mario Ventresca. In Hamid R. Tizhoosh, Mario Ventresca, editors, Oppositional Concepts in Computational Intelligence. Volume 155 of Studies in Computational Intelligence, pages 1-8, Springer, 2008. [doi]

Oppositional Concepts in Computational IntelligenceHamid R. Tizhoosh, Mario Ventresca, editors, Volume 155 of Studies in Computational Intelligence, Springer, 2008.

Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semanticsHamid R. Tizhoosh. PR, 41(5):1812-1813, 2008. [doi]

Opposition-Based ComputingHamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan. In Hamid R. Tizhoosh, Mario Ventresca, editors, Oppositional Concepts in Computational Intelligence. Volume 155 of Studies in Computational Intelligence, pages 11-28, Springer, 2008. [doi]

Numerical condition of feedforward networks with opposite transfer functionsMario Ventresca, Hamid R. Tizhoosh. ijcnn 2008: 3233-3240 [doi]

Two Frameworks for Improving Gradient-Based Learning AlgorithmsMario Ventresca, Hamid R. Tizhoosh. In Hamid R. Tizhoosh, Mario Ventresca, editors, Oppositional Concepts in Computational Intelligence. Volume 155 of Studies in Computational Intelligence, pages 255-284, Springer, 2008. [doi]

A diversity maintaining population-based incremental learning algorithmMario Ventresca, Hamid R. Tizhoosh. isci, 178(21):4038-4056, 2008. [doi]

2007

Fuzzy Classification Using Pattern DiscoveryAndrew Hamilton-Wright, Daniel W. Stashuk, Hamid R. Tizhoosh. tfs, 15(5):772-783, 2007. [doi]

Quasi-oppositional Differential EvolutionShahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama. cec 2007: 2229-2236 [doi]

A novel population initialization method for accelerating evolutionary algorithmsShahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama. cma, 53(10):1605-1614, 2007. [doi]

Opposition-Based Differential Evolution (ODE) with Variable Jumping RateShahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama. foci 2007: 81-88 [doi]

Opposite Transfer Functions and Backpropagation Through TimeMario Ventresca, Hamid R. Tizhoosh. foci 2007: 570-577 [doi]

Simulated Annealing with Opposite NeighborsMario Ventresca, Hamid R. Tizhoosh. foci 2007: 186-192 [doi]

Active exploratory q-learning for large problemsXianghai Wu, Jonathan Kofman, Hamid R. Tizhoosh. SMC 2007: 4040-4045 [doi]

2006

IRIS Segmentation: Detecting Pupil, Limbus and EyelidsEhsan Mohammadi Arvacheh, Hamid R. Tizhoosh. icip 2006: 2453-2456 [doi]

Image Thresholding Using Ant Colony OptimizationAlice R. Malisia, Hamid R. Tizhoosh. crv 2006: 26 [doi]

Applying Ant Colony Optimization to Binary ThresholdingAlice R. Malisia, Hamid R. Tizhoosh. icip 2006: 2409-2412 [doi]

Image Thresholding Using Differential EvolutionShahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama. ipcv 2006: 244-249

Weighted Voting-Based Robust Image ThresholdingShahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama. icip 2006: 1129-1132 [doi]

A Reinforcement Learning Framework for Medical Image SegmentationFarhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama. ijcnn 2006: 511-517 [doi]

Increasing Object Recognition Rate using Reinforced SegmentationFarhang Sahba, Hamid R. Tizhoosh, Magdy M. A. Salama. icip 2006: 781-784 [doi]

Opposition-Based Q(lambda) AlgorithmMaryam Shokri, Hamid R. Tizhoosh, Mohamed Kamel. ijcnn 2006: 254-261 [doi]

Fuzzy anisotropic diffusion based on edge detectionJialin Song, Hamid R. Tizhoosh. jifs, 17(5):431-442, 2006. [doi]

On poem recognitionHamid R. Tizhoosh, Rozita A. Dara. paa, 9(4):325-338, 2006. [doi]

Reinforced Contrast AdaptationHamid R. Tizhoosh, Graham W. Taylor. ijig, 6(3):377-392, 2006. [doi]

Opposition-Based Reinforcement LearningHamid R. Tizhoosh. jaciii, 10(4):578-585, 2006. [doi]

Improving the Convergence of Backpropagation by Opposite Transfer FunctionsMario Ventresca, Hamid R. Tizhoosh. ijcnn 2006: 4777-4784 [doi]

2005

2004

Q(lambda)-Based Image ThresholdingMaryam Shokri, Hamid R. Tizhoosh. crv 2004: 504-508 [doi]

2002

Observer-dependent sharpeningHamid R. Tizhoosh. icip 2002: 816-819

2001

Invited talk: Observer-dependent Image EnhancementHamid R. Tizhoosh. fuzzIEEE 2001: 23-26

Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy systemHamid R. Tizhoosh, Gerald Krell, Bernd Michaelis. ivc, 19(4):217-233, 2001. [doi]

1998

Über Binarisierung und Potentiale der Fuzzy-AnsätzeHamid R. Tizhoosh. gi 1998: 97-106

1997