| 2009 |
56 | | Farzad Khalvati,
Hamid R. Tizhoosh,
Arsen R. Hajian:
Increasing Computational Redundancy of Digital Images via Multiresolutional Matching.
ICIAR 2009: 146-157 |
55 | | Miguel Pagola,
Edurne Barrenechea Tartas,
Aranzazu Jurio,
Mikel Galar,
Pedro Couto,
Farhang Sahba,
Hamid R. Tizhoosh:
Interval-Valued Fuzzy System for Segmentation of Prostate Ultrasound Images.
IFSA/EUSFLAT Conf. 2009: 1164-1168 |
54 | | Hamid R. Tizhoosh:
Opposite Fuzzy Sets with Applications in Image Processing.
IFSA/EUSFLAT Conf. 2009: 36-41 |
53 | | Maryam Shokri,
Hamid R. Tizhoosh,
Mohamed S. Kamel:
Oppositional target domain estimation using grid-based simulation.
Appl. Soft Comput. 9(1): 423-430 (2009) |
52 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples.
JACIII 13(2): 115-127 (2009) |
| 2008 |
51 | | Hamid R. Tizhoosh,
Mario Ventresca:
Oppositional Concepts in Computational Intelligence
Springer 2008 |
50 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh:
Image thresholding using micro opposition-based Differential Evolution (Micro-ODE).
IEEE Congress on Evolutionary Computation 2008: 1409-1416 |
49 | | Maryam Shokri,
Hamid R. Tizhoosh,
Mohamed S. Kamel:
Tradeoff between exploration and exploitation of OQ(lambda) with non-Markovian update in dynamic environments.
IJCNN 2008: 2915-2921 |
48 | | Mario Ventresca,
Hamid R. Tizhoosh:
Numerical condition of feedforward networks with opposite transfer functions.
IJCNN 2008: 3233-3240 |
47 | | Hamid R. Tizhoosh:
Type II Fuzzy Image Segmentation.
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 607-619 |
46 | | Hamid R. Tizhoosh,
Mario Ventresca:
Introduction.
Oppositional Concepts in Computational Intelligence 2008: 1-8 |
45 | | Hamid R. Tizhoosh,
Mario Ventresca,
Shahryar Rahnamayan:
Opposition-Based Computing.
Oppositional Concepts in Computational Intelligence 2008: 11-28 |
44 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh:
Differential Evolution Via Exploiting Opposite Populations.
Oppositional Concepts in Computational Intelligence 2008: 143-160 |
43 | | 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: 233-253 |
42 | | Mario Ventresca,
Hamid R. Tizhoosh:
Two Frameworks for Improving Gradient-Based Learning Algorithms.
Oppositional Concepts in Computational Intelligence 2008: 255-284 |
41 | | Farhang Sahba,
Hamid R. Tizhoosh:
Opposite Actions in Reinforced Image Segmentation.
Oppositional Concepts in Computational Intelligence 2008: 287-297 |
40 | | Masoud Mahootchi,
Hamid R. Tizhoosh,
Kumaraswamy Ponnambalam:
Opposition Mining in Reservoir Management.
Oppositional Concepts in Computational Intelligence 2008: 299-321 |
39 | | Maryam Shokri,
Hamid R. Tizhoosh:
A reinforcement agent for threshold fusion.
Appl. Soft Comput. 8(1): 174-181 (2008) |
38 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Opposition versus randomness in soft computing techniques.
Appl. Soft Comput. 8(2): 906-918 (2008) |
37 | | Farhang Sahba,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
A reinforcement agent for object segmentation in ultrasound images.
Expert Syst. Appl. 35(3): 772-780 (2008) |
36 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Opposition-Based Differential Evolution.
IEEE Trans. Evolutionary Computation 12(1): 64-79 (2008) |
35 | | Mario Ventresca,
Hamid R. Tizhoosh:
A diversity maintaining population-based incremental learning algorithm.
Inf. Sci. 178(21): 4038-4056 (2008) |
34 | | Hamid R. Tizhoosh:
Interval-valued versus intuitionistic fuzzy sets: Isomorphism versus semantics.
Pattern Recognition 41(5): 1812-1813 (2008) |
| 2007 |
33 | | Mario Ventresca,
Hamid R. Tizhoosh:
Simulated Annealing with Opposite Neighbors.
FOCI 2007: 186-192 |
32 | | Mario Ventresca,
Hamid R. Tizhoosh:
Opposite Transfer Functions and Backpropagation Through Time.
FOCI 2007: 570-577 |
31 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate.
FOCI 2007: 81-88 |
30 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Quasi-oppositional Differential Evolution.
IEEE Congress on Evolutionary Computation 2007: 2229-2236 |
29 | | Xianghai Wu,
Jonathan Kofman,
Hamid R. Tizhoosh:
Active exploratory q-learning for large problems.
SMC 2007: 4040-4045 |
28 | | Andrew Hamilton-Wright,
Daniel W. Stashuk,
Hamid R. Tizhoosh:
Fuzzy Classification Using Pattern Discovery.
IEEE T. Fuzzy Systems 15(5): 772-783 (2007) |
| 2006 |
27 | | Alice R. Malisia,
Hamid R. Tizhoosh:
Image Thresholding Using Ant Colony Optimization.
CRV 2006: 26 |
26 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Weighted Voting-Based Robust Image Thresholding.
ICIP 2006: 1129-1132 |
25 | | Alice R. Malisia,
Hamid R. Tizhoosh:
Applying Ant Colony Optimization to Binary Thresholding.
ICIP 2006: 2409-2412 |
24 | | Ehsan Mohammadi Arvacheh,
Hamid R. Tizhoosh:
IRIS Segmentation: Detecting Pupil, Limbus and Eyelids.
ICIP 2006: 2453-2456 |
23 | | Farhang Sahba,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Increasing Object Recognition Rate using Reinforced Segmentation.
ICIP 2006: 781-784 |
22 | | Maryam Shokri,
Hamid R. Tizhoosh,
Mohamed Kamel:
Opposition-Based Q(lambda) Algorithm.
IJCNN 2006: 254-261 |
21 | | Mario Ventresca,
Hamid R. Tizhoosh:
Improving the Convergence of Backpropagation by Opposite Transfer Functions.
IJCNN 2006: 4777-4784 |
20 | | Farhang Sahba,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
A Reinforcement Learning Framework for Medical Image Segmentation.
IJCNN 2006: 511-517 |
19 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Image Thresholding Using Differential Evolution.
IPCV 2006: 244-249 |
18 | | Hamid R. Tizhoosh,
Graham W. Taylor:
Reinforced Contrast Adaptation.
Int. J. Image Graphics 6(3): 377-392 (2006) |
17 | | Hamid R. Tizhoosh:
Opposition-Based Reinforcement Learning.
JACIII 10(4): 578-585 (2006) |
16 | | Jialin Song,
Hamid R. Tizhoosh:
Fuzzy anisotropic diffusion based on edge detection.
Journal of Intelligent and Fuzzy Systems 17(5): 431-442 (2006) |
15 | | Hamid R. Tizhoosh,
Rozita A. Dara:
On poem recognition.
Pattern Anal. Appl. 9(4): 325-338 (2006) |
| 2005 |
14 | | Hamid R. Tizhoosh:
Opposition-Based Learning: A New Scheme for Machine Intelligence.
CIMCA/IAWTIC 2005: 695-701 |
13 | | Farhang Sahba,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Using Reinforcement Learning for Filter Fusion in Image Enhancement.
Computational Intelligence 2005: 262-266 |
12 | | P. Ensafi,
Hamid R. Tizhoosh:
Type-2 Fuzzy Image Enhancement.
ICIAR 2005: 159-166 |
11 | | Shahryar Rahnamayan,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images.
ICIAR 2005: 930-937 |
10 | | Farhang Sahba,
Hamid R. Tizhoosh,
Magdy M. A. Salama:
Segmentation of prostate boundaries using regional contrast enhancement.
ICIP (2) 2005: 1266-1269 |
9 | | Hamid R. Tizhoosh:
Image thresholding using type II fuzzy sets.
Pattern Recognition 38(12): 2363-2372 (2005) |
| 2004 |
8 | | Maryam Shokri,
Hamid R. Tizhoosh:
Q(lambda)-Based Image Thresholding.
CRV 2004: 504-508 |
| 2002 |
7 | | Hamid R. Tizhoosh:
Observer-dependent sharpening.
ICIP (1) 2002: 816-819 |
| 2001 |
6 | | Hamid R. Tizhoosh:
Invited talk: Observer-dependent Image Enhancement.
FUZZ-IEEE 2001: 23-26 |
5 | | Hamid R. Tizhoosh,
Gerald Krell,
Bernd Michaelis:
Knowledge-based enhancement of megavoltage images in radiation therapy using a hybrid neuro-fuzzy system.
Image Vision Comput. 19(4): 217-233 (2001) |
| 1998 |
4 | | Hamid R. Tizhoosh:
Über Binarisierung und Potentiale der Fuzzy-Ansätze.
GI Jahrestagung 1998: 97-106 |
| 1997 |
3 | | Gerald Krell,
Hamid R. Tizhoosh,
Tilo Lilienblum,
C. J. Moore,
Bernd Michaelis:
Enhancement and associative restoration of electronic portal images in radiotherapy.
CBMS 1997: 104-108 |
2 | | Hamid R. Tizhoosh,
Gerald Krell,
Bernd Michaelis:
Locally Adaptive Fuzzy Image Enhancement.
Fuzzy Days 1997: 272-276 |
1 | | Hamid R. Tizhoosh,
Gerald Krell,
Bernd Michaelis:
Additive Fuzzy Enhancement and an Associative Memory for Feature Tracking in Radiation Therapy Images.
ICIP (2) 1997: 398-401 |