Multi-Heuristic List Scheduling Genetic Algorithms for Task Scheduling. - Andy Auyeung; Iker Gondra; H. K. Dai 001 (SAC, 2003)

A Coarse-Grain Parallel Genetic Algorithm for Finding Ramsey Numbers. - Iker Gondra; Mansur H. Samadzadeh (SAC, 2003)

Semantic Similarity for Adaptive Exploitation of Inter-Query Learning. - Iker Gondra; Douglas R. Heisterkamp (CCCT (1), 2004)

Probabilistic Region Relevance Learning for Content-Based Image Retrieval. - Iker Gondra; Douglas R. Heisterkamp (CISST, 2004)

Learning in Region-Based Image Retrieval with Generalized Support Vector Machines. - Iker Gondra; Douglas R. Heisterkamp (CVPR Workshops, 2004)

Summarizing Inter-Query Learning in Content-Based Image Retrieval via Incremental Semantic Clustering. - Iker Gondra; Douglas R. Heisterkamp (ITCC (2), 2004)

Improving image retrieval performance by inter-query learning with one-class support vector machines. - Iker Gondra; Douglas R. Heisterkamp; Jing Peng (Neural Comput. Appl., 2004)

A Kolmogorov Complexity-Based Normalized Information Distance for Image Retrieval. - Iker Gondra; Douglas R. Heisterkamp (CISST, 2005)

Adaptive mean shift-based image segmentation using multiple instance learning. - Iker Gondra; Tao Xu (ICDIM, 2008)

An Objective Evaluation of the Mean Shift-Based Image Segmentation Algorithm. - Tao Xu; Iker Gondra (IPCV, 2008)

Multi-Dimensional Dynamic Time Warping for Image Texture Similarity. - Rodrigo Fernandes de Mello; Iker Gondra (SBIA, 2008)

Content-based image retrieval with the normalized information distance. - Iker Gondra; Douglas R. Heisterkamp (Comput. Vis. Image Underst., 2008)

Applying machine learning to software fault-proneness prediction. - Iker Gondra (J. Syst. Softw., 2008)

Texture map: an effective representation for image segmentation. - Tao Xu; Iker Gondra (C3S2E, 2009)

A Novel Neural Network-Based Approach for Multiple Instance Learning. - Cheng Hua Li; Iker Gondra (CIT, 2010)

A multiple instance learning based framework for semantic image segmentation. - Iker Gondra; Tao Xu (Multim. Tools Appl., 2010)

Image region re-weighting via multiple instance learning. - Iker Gondra; Tao Xu (Signal Image Video Process., 2010)

A Bayesian network-based tunable image segmentation algorithm for object recognition. - Fahim Irfan Alam; Iker Gondra (ISSPIT, 2011)

Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning. - Tao Xu; Iker Gondra; David K. Y. Chiu (MLDM, 2011)

A Mean Shift-Based Initialization Method for K-means. - Iván Cabria; Iker Gondra (CIT, 2012)

Incorporating shape into spatially-aware adaptive object segmentation algorithm. - Fahim Irfan Alam; Iker Gondra (C3S2E, 2012)

Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features. - Iker Gondra; Fahim Irfan Alam (ICCVG, 2012)

Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy. - Tao Xu; David K. Y. Chiu; Iker Gondra (MLDM, 2012)

A simple and effective texture characterization for image segmentation. - Tao Xu; Iker Gondra (Signal Image Video Process., 2012)

An efficient parallel neural network-based multi-instance learning algorithm. - Cheng Hua Li; Iker Gondra; Lijun Liu (J. Supercomput., 2012)

Object Segmentation through Multiple Instance Learning. - Iker Gondra; Tao Xu; David K. Y. Chiu; Michael Cormier (ICISP, 2014)

Learning spatial relations for object-specific segmentation using Bayesian network model. - Iker Gondra; Fahim Irfan Alam (Signal Image Video Process., 2014)

Automated Localization of Brain Tumors in MRI Using Potential-K-Means Clustering Algorithm. - Iván Cabria; Iker Gondra (CRV, 2015)

Automated segmentation of brain tumors in MRI using potential field clustering. - Iker Gondra; Iván Cabria (EUROCON, 2015)

Attributed Relational Graph-Based Learning of Object Models for Object Segmentation. - Nasreen Akter; Iker Gondra (ICIAR, 2015)

Computing force field-based directional maps in subquadratic time. - Iker Gondra; Iván Cabria (Knowl. Based Syst., 2016)

A maximum partial entropy-based method for multiple-instance concept learning. - Tao Xu; Iker Gondra; David K. Y. Chiu (Appl. Intell., 2017)

MRI segmentation fusion for brain tumor detection. - Iván Cabria; Iker Gondra (Inf. Fusion, 2017)

Potential-K-Means for Load Balancing and Cost Minimization in Mobile Recycling Network. - Iván Cabria; Iker Gondra (IEEE Syst. J., 2017)

Common Random Subgraph Modeling Using Multiple Instance Learning. - Tao Xu; David K. Y. Chiu; Iker Gondra (ICPR, 2018)

Canny SLIC to Compute Content-Sensitive Superpixels. - Yousef Abu Baker; Iker Gondra (iThings/GreenCom/CPSCom/SmartData, 2018)

Random Graph-based Multiple Instance Learning for Structured IoT Smart City Applications. - David K. Y. Chiu; Tao Xu; Iker Gondra (ACM Trans. Internet Techn., 2021)