Iker Gondra

38 papers B 1C 3Misc 3Journal 13Unranked 18
YearRankTypeTitle / Venue / Authors
2021 J jnl
Random Graph-based Multiple Instance Learning for Structured IoT Smart City Applications.
ACM Trans. Internet Techn.
David K. Y. Chiu, Tao Xu, Iker Gondra
2018 — conf
Canny SLIC to Compute Content-Sensitive Superpixels.
iThings/GreenCom/CPSCom/SmartData
Yousef Abu Baker, Iker Gondra
2018 B conf
Common Random Subgraph Modeling Using Multiple Instance Learning.
ICPR
Tao Xu, David K. Y. Chiu, Iker Gondra
2017 J jnl
A maximum partial entropy-based method for multiple-instance concept learning.
Appl. Intell.
Tao Xu, Iker Gondra, David K. Y. Chiu
2017 J jnl
MRI segmentation fusion for brain tumor detection.
Inf. Fusion
Iván Cabria, Iker Gondra
2017 J jnl
Potential-K-Means for Load Balancing and Cost Minimization in Mobile Recycling Network.
IEEE Syst. J.
Iván Cabria, Iker Gondra
2016 J jnl
Computing force field-based directional maps in subquadratic time.
Knowl. Based Syst.
Iker Gondra, Iván Cabria
2015 — conf
Attributed Relational Graph-Based Learning of Object Models for Object Segmentation.
ICIAR
Nasreen Akter, Iker Gondra
2015 — conf
Automated Localization of Brain Tumors in MRI Using Potential-K-Means Clustering Algorithm.
CRV
Iván Cabria, Iker Gondra
2015 — conf
Automated segmentation of brain tumors in MRI using potential field clustering.
EUROCON
Iker Gondra, Iván Cabria
2014 J jnl
Learning spatial relations for object-specific segmentation using Bayesian network model.
Signal Image Video Process.
Iker Gondra, Fahim Irfan Alam
2014 C conf
Object Segmentation through Multiple Instance Learning.
ICISP
Iker Gondra, Tao Xu, David K. Y. Chiu, Michael Cormier
2012 C conf
A Mean Shift-Based Initialization Method for K-means.
CIT
Iván Cabria, Iker Gondra
2012 J jnl
A simple and effective texture characterization for image segmentation.
Signal Image Video Process.
Tao Xu, Iker Gondra
2012 J jnl
An efficient parallel neural network-based multi-instance learning algorithm.
J. Supercomput.
Cheng Hua Li, Iker Gondra, Lijun Liu
2012 — conf
Constructing Target Concept in Multiple Instance Learning Using Maximum Partial Entropy.
MLDM
Tao Xu, David K. Y. Chiu, Iker Gondra
2012 — conf
Incorporating shape into spatially-aware adaptive object segmentation algorithm.
C3S2E
Fahim Irfan Alam, Iker Gondra
2012 Misc conf
Learning-Based Object Segmentation Using Regional Spatial Templates and Visual Features.
ICCVG
Iker Gondra, Fahim Irfan Alam
2011 — conf
A Bayesian network-based tunable image segmentation algorithm for object recognition.
ISSPIT
Fahim Irfan Alam, Iker Gondra
2011 — conf
Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning.
MLDM
Tao Xu, Iker Gondra, David K. Y. Chiu
2010 C conf
A Novel Neural Network-Based Approach for Multiple Instance Learning.
CIT
Cheng Hua Li, Iker Gondra
2010 J jnl
A multiple instance learning based framework for semantic image segmentation.
Multim. Tools Appl.
Iker Gondra, Tao Xu
2010 J jnl
Image region re-weighting via multiple instance learning.
Signal Image Video Process.
Iker Gondra, Tao Xu
2009 — conf
Texture map: an effective representation for image segmentation.
C3S2E
Tao Xu, Iker Gondra
2008 — conf
Adaptive mean shift-based image segmentation using multiple instance learning.
ICDIM
Iker Gondra, Tao Xu
2008 — conf
An Objective Evaluation of the Mean Shift-Based Image Segmentation Algorithm.
IPCV
Tao Xu, Iker Gondra
2008 J jnl
Applying machine learning to software fault-proneness prediction.
J. Syst. Softw.
Iker Gondra
2008 J jnl
Content-based image retrieval with the normalized information distance.
Comput. Vis. Image Underst.
Iker Gondra, Douglas R. Heisterkamp
2008 — conf
Multi-Dimensional Dynamic Time Warping for Image Texture Similarity.
SBIA
Rodrigo Fernandes de Mello, Iker Gondra
2005 — conf
A Kolmogorov Complexity-Based Normalized Information Distance for Image Retrieval.
CISST
Iker Gondra, Douglas R. Heisterkamp
2004 J jnl
Improving image retrieval performance by inter-query learning with one-class support vector machines.
Neural Comput. Appl.
Iker Gondra, Douglas R. Heisterkamp, Jing Peng
2004 — conf
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines.
MDDE
Iker Gondra, Douglas R. Heisterkamp
2004 — conf
Learning in Region-Based Image Retrieval with Generalized Support Vector Machines.
CVPR Workshops
Iker Gondra, Douglas R. Heisterkamp
2004 — conf
Probabilistic Region Relevance Learning for Content-Based Image Retrieval.
CISST
Iker Gondra, Douglas R. Heisterkamp
2004 — conf
Semantic Similarity for Adaptive Exploitation of Inter-Query Learning.
CCCT (1)
Iker Gondra, Douglas R. Heisterkamp
2004 — conf
Summarizing Inter-Query Learning in Content-Based Image Retrieval via Incremental Semantic Clustering.
ITCC (2)
Iker Gondra, Douglas R. Heisterkamp
2003 Misc conf
A Coarse-Grain Parallel Genetic Algorithm for Finding Ramsey Numbers.
SAC
Iker Gondra, Mansur H. Samadzadeh
2003 Misc conf
Multi-Heuristic List Scheduling Genetic Algorithms for Task Scheduling.
SAC
Andy Auyeung, Iker Gondra, H. K. Dai