Iker Gondra

Publication Activity (10 Years)

Years Active: 2003-2021
Publications (10 Years): 10

Top Topics

Multiple Instance Learning

Top Venues

iThings/GreenCom/CPSCom/SmartData

ACM Trans. Internet Techn.

Publications

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) (2021)
Tao Xu, David K. Y. Chiu, Iker Gondra
Common Random Subgraph Modeling Using Multiple Instance Learning. ICPR (2018)
Yousef Abu Baker, Iker Gondra
Canny SLIC to Compute Content-Sensitive Superpixels. iThings/GreenCom/CPSCom/SmartData (2018)
Ivan Cabria, Iker Gondra
Potential-K-Means for Load Balancing and Cost Minimization in Mobile Recycling Network. IEEE Syst. J. 11 (1) (2017)
Tao Xu, Iker Gondra, David K. Y. Chiu
A maximum partial entropy-based method for multiple-instance concept learning. Appl. Intell. 46 (4) (2017)
Ivan Cabria, Iker Gondra
MRI segmentation fusion for brain tumor detection. Inf. Fusion 36 (2017)
Iker Gondra, Ivan Cabria
Computing force field-based directional maps in subquadratic time. Knowl. Based Syst. 95 (2016)
Ivan Cabria, Iker Gondra
Automated Localization of Brain Tumors in MRI Using Potential-K-Means Clustering Algorithm. CRV (2015)
Iker Gondra, Ivan Cabria
Automated segmentation of brain tumors in MRI using potential field clustering. EUROCON (2015)
Nasreen Akter, Iker Gondra
Attributed Relational Graph-Based Learning of Object Models for Object Segmentation. ICIAR (2015)
Iker Gondra, Fahim Irfan Alam
Learning spatial relations for object-specific segmentation using Bayesian network model. Signal Image Video Process. 8 (8) (2014)
Iker Gondra, Tao Xu, David K. Y. Chiu, Michael Cormier
Object Segmentation through Multiple Instance Learning. ICISP (2014)
Tao Xu, Iker Gondra
A simple and effective texture characterization for image segmentation. Signal Image Video Process. 6 (2) (2012)
Iker Gondra, Fahim Irfan Alam
Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features. ICCVG (2012)
Ivan Cabria, Iker Gondra
A Mean Shift-Based Initialization Method for K-means. CIT (2012)
Tao Xu, David K. Y. Chiu, Iker Gondra
Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy. MLDM (2012)
Cheng Hua Li, Iker Gondra, Lijun Liu
An efficient parallel neural network-based multi-instance learning algorithm. J. Supercomput. 62 (2) (2012)
Fahim Irfan Alam, Iker Gondra
Incorporating shape into spatially-aware adaptive object segmentation algorithm. C3S2E (2012)
Tao Xu, Iker Gondra, David K. Y. Chiu
Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning. MLDM (2011)
Fahim Irfan Alam, Iker Gondra
A Bayesian network-based tunable image segmentation algorithm for object recognition. ISSPIT (2011)
Iker Gondra, Tao Xu
A multiple instance learning based framework for semantic image segmentation. Multim. Tools Appl. 48 (2) (2010)
Iker Gondra, Tao Xu
Image region re-weighting via multiple instance learning. Signal Image Video Process. 4 (4) (2010)
Cheng Hua Li, Iker Gondra
A Novel Neural Network-Based Approach for Multiple Instance Learning. CIT (2010)
Tao Xu, Iker Gondra
Texture map: an effective representation for image segmentation. C3S2E (2009)
Iker Gondra
Applying machine learning to software fault-proneness prediction. J. Syst. Softw. 81 (2) (2008)
Iker Gondra, Douglas R. Heisterkamp
Content-based image retrieval with the normalized information distance. Comput. Vis. Image Underst. 111 (2) (2008)
Iker Gondra, Tao Xu
Adaptive mean shift-based image segmentation using multiple instance learning. ICDIM (2008)
Tao Xu, Iker Gondra
An Objective Evaluation of the Mean Shift-Based Image Segmentation Algorithm. IPCV (2008)
Rodrigo Fernandes de Mello, Iker Gondra
Multi-Dimensional Dynamic Time Warping for Image Texture Similarity. SBIA (2008)
Iker Gondra, Douglas R. Heisterkamp
A Kolmogorov Complexity-Based Normalized Information Distance for Image Retrieval. CISST (2005)
Iker Gondra, Douglas R. Heisterkamp
Semantic Similarity for Adaptive Exploitation of Inter-Query Learning. CCCT (1) (2004)
Iker Gondra, Douglas R. Heisterkamp
Summarizing Inter-Query Learning in Content-Based Image Retrieval via Incremental Semantic Clustering. ITCC (2) (2004)
Iker Gondra, Douglas R. Heisterkamp
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines. MDDE (2004)
Iker Gondra, Douglas R. Heisterkamp
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines. CVPR Workshops (2004)
Iker Gondra, Douglas R. Heisterkamp
Probabilistic Region Relevance Learning for Content-Based Image Retrieval. CISST (2004)
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) (2004)
Iker Gondra, Mansur H. Samadzadeh
A Coarse-Grain Parallel Genetic Algorithm for Finding Ramsey Numbers. SAC (2003)
Andy Auyeung, Iker Gondra, H. K. Dai
Multi-Heuristic List Scheduling Genetic Algorithms for Task Scheduling. SAC (2003)