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2020 – today
- 2021
[j13]David K. Y. Chiu, Tao Xu, Iker Gondra
:
Random Graph-based Multiple Instance Learning for Structured IoT Smart City Applications. ACM Trans. Internet Techn. 21(3): 70:1-70:17 (2021)
2010 – 2019
- 2018
- [c25]Tao Xu, David K. Y. Chiu, Iker Gondra:
Common Random Subgraph Modeling Using Multiple Instance Learning. ICPR 2018: 1205-1210 - [c24]Yousef Abu Baker, Iker Gondra:
Canny SLIC to Compute Content-Sensitive Superpixels. iThings/GreenCom/CPSCom/SmartData 2018: 1725-1732 - 2017
- [j12]Tao Xu, Iker Gondra, David K. Y. Chiu:
A maximum partial entropy-based method for multiple-instance concept learning. Appl. Intell. 46(4): 865-875 (2017) - [j11]Iván Cabria, Iker Gondra:
MRI segmentation fusion for brain tumor detection. Inf. Fusion 36: 1-9 (2017) - [j10]Iván Cabria, Iker Gondra:
Potential-K-Means for Load Balancing and Cost Minimization in Mobile Recycling Network. IEEE Syst. J. 11(1): 242-249 (2017) - 2016
- [j9]Iker Gondra, Iván Cabria:
Computing force field-based directional maps in subquadratic time. Knowl. Based Syst. 95: 58-70 (2016) - 2015
- [c23]Iván Cabria, Iker Gondra:
Automated Localization of Brain Tumors in MRI Using Potential-K-Means Clustering Algorithm. CRV 2015: 125-132 - [c22]Iker Gondra, Iván Cabria:
Automated segmentation of brain tumors in MRI using potential field clustering. EUROCON 2015: 1-6 - [c21]Nasreen Akter, Iker Gondra:
Attributed Relational Graph-Based Learning of Object Models for Object Segmentation. ICIAR 2015: 90-99 - 2014
- [j8]Iker Gondra, Fahim Irfan Alam:
Learning spatial relations for object-specific segmentation using Bayesian network model. Signal Image Video Process. 8(8): 1441-1450 (2014) - [c20]Iker Gondra, Tao Xu, David K. Y. Chiu, Michael Cormier:
Object Segmentation through Multiple Instance Learning. ICISP 2014: 568-577 - 2012
- [j7]Tao Xu, Iker Gondra:
A simple and effective texture characterization for image segmentation. Signal Image Video Process. 6(2): 231-245 (2012) - [j6]Cheng Hua Li, Iker Gondra, Lijun Liu:
An efficient parallel neural network-based multi-instance learning algorithm. J. Supercomput. 62(2): 724-740 (2012) - [c19]Iván Cabria, Iker Gondra:
A Mean Shift-Based Initialization Method for K-means. CIT 2012: 579-586 - [c18]Fahim Irfan Alam, Iker Gondra:
Incorporating shape into spatially-aware adaptive object segmentation algorithm. C3S2E 2012: 86-94 - [c17]Iker Gondra, Fahim Irfan Alam:
Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features. ICCVG 2012: 397-406 - [c16]Tao Xu, David K. Y. Chiu, Iker Gondra:
Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy. MLDM 2012: 169-182 - 2011
- [c15]Fahim Irfan Alam, Iker Gondra:
A Bayesian network-based tunable image segmentation algorithm for object recognition. ISSPIT 2011: 11-16 - [c14]Tao Xu, Iker Gondra, David K. Y. Chiu:
Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning. MLDM 2011: 185-198 - 2010
- [j5]Iker Gondra, Tao Xu:
A multiple instance learning based framework for semantic image segmentation. Multim. Tools Appl. 48(2): 339-365 (2010) - [j4]Iker Gondra, Tao Xu:
Image region re-weighting via multiple instance learning. Signal Image Video Process. 4(4): 409-417 (2010) - [c13]Cheng Hua Li, Iker Gondra:
A Novel Neural Network-Based Approach for Multiple Instance Learning. CIT 2010: 451-456
2000 – 2009
- 2009
- [c12]Tao Xu, Iker Gondra:
Texture map: an effective representation for image segmentation. C3S2E 2009: 197-203 - 2008
- [j3]Iker Gondra, Douglas R. Heisterkamp:
Content-based image retrieval with the normalized information distance. Comput. Vis. Image Underst. 111(2): 219-228 (2008) - [j2]Iker Gondra:
Applying machine learning to software fault-proneness prediction. J. Syst. Softw. 81(2): 186-195 (2008) - [c11]Iker Gondra, Tao Xu:
Adaptive mean shift-based image segmentation using multiple instance learning. ICDIM 2008: 716-721 - [c10]Tao Xu, Iker Gondra:
An Objective Evaluation of the Mean Shift-Based Image Segmentation Algorithm. IPCV 2008: 205-211 - [c9]Rodrigo Fernandes de Mello, Iker Gondra:
Multi-Dimensional Dynamic Time Warping for Image Texture Similarity. SBIA 2008: 23-32 - 2005
- [c8]Iker Gondra, Douglas R. Heisterkamp:
A Kolmogorov Complexity-Based Normalized Information Distance for Image Retrieval. CISST 2005: 3-7 - 2004
- [j1]Iker Gondra, Douglas R. Heisterkamp, Jing Peng:
Improving image retrieval performance by inter-query learning with one-class support vector machines. Neural Comput. Appl. 13(2): 130-139 (2004) - [c7]Iker Gondra, Douglas R. Heisterkamp:
Semantic Similarity for Adaptive Exploitation of Inter-Query Learning. CCCT (1) 2004: 142-147 - [c6]Iker Gondra, Douglas R. Heisterkamp:
Probabilistic Region Relevance Learning for Content-Based Image Retrieval. CISST 2004: 434-440 - [c5]Iker Gondra, Douglas R. Heisterkamp:
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines. MDDE 2004 - [c4]Iker Gondra, Douglas R. Heisterkamp:
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines. CVPR Workshops 2004: 149 - [c3]Iker Gondra, Douglas R. Heisterkamp:
Summarizing Inter-Query Learning in Content-Based Image Retrieval via Incremental Semantic Clustering. ITCC (2) 2004: 18-22 - 2003
- [c2]Iker Gondra, Mansur H. Samadzadeh:
A Coarse-Grain Parallel Genetic Algorithm for Finding Ramsey Numbers. SAC 2003: 2-8 - [c1]Andy Auyeung, Iker Gondra, H. K. Dai:
Multi-Heuristic List Scheduling Genetic Algorithms for Task Scheduling. SAC 2003: 721-724
Coauthor Index
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