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Refereed
Publications
(in reverse chronological order) |
- D. Ramegowda and I. Gondra. Wasserstein-Based Feature Map Knowledge Transfer to Improve the Performance of Small Deep Neural Networks. Proceedings of 2022 IEEE International Conference on Pattern Recognition and Machine Learning (PRML’22), pp. 409-415, Chengdu, China, July 2022.
- D. Chiu, T. Xu, and I. Gondra. Random Graph-Based Multiple Instance Learning for Structured IoT Smart City Applications.
ACM Transactions on Internet Technology
(ACM), vol. 21, no. 3, pp. 1-17, August 2021.
- T. Xu, D. Chiu, and I. Gondra. Common Random Subgraph Modeling Using Multiple Instance Learning. Proceedings of 2018 International Conference on Pattern Recognition
(ICPR’18), pp. 1215-1210, Beijing, China, August 2018.
- Y. Abu Baker and I. Gondra. CANNY SLIC to Compute Content-Sensitive Superpixels. Proceedings of 2018 International Conference on Information Technology (CIT’18), pp. 1725-1732, Halifax, Canada, July 2018.
- I. Cabria
and I. Gondra. MRI Segmentation Fusion for Brain Tumor Detection.
Information Fusion
(Elsevier), vol. 36, pp. 1-9, July 2017.
- T. Xu, I. Gondra, and D. Chiu
. A Maximum Partial Entropy-based Method for Multiple-Instance Concept Learning.
Applied Intelligence
(Springer), vol. 46, no. 4, pp. 865-875, June 2017.
- I. Cabria
and I. Gondra. Potential-K-Means for Load Balancing and
Cost Minimization in Mobile Recycling Network.
IEEE Systems
(IEEE), vol. 11, no. 1, pp. 242-249, March 2017.
- I. Gondra
and I. Cabria. Computing Force Field-based Directional Maps in Subquadratic Time.
Knowledge-Based Systems
(Elsevier), vol. 95, pp. 58-70, March 2016.
- I. Gondra and I. Cabria. Automated Segmentation of Brain Tumors in MRI Using Potential Field Clustering. Proceedings of 2015 IEEE
International Conference on Computer as a Tool
(EUROCON’15), pp. 686-691, IEEE, Salamanca, Spain, September 2015.
- N. Akter and I. Gondra. Attributed
Relational Graph-Based Learning of Object Models for Object
Segmentation. Proceedings of 2015
International Conference on Image Analysis and Recognition
(ICIAR’15), Niagara Falls, Canada, July 2015.
Springer Lecture Notes in Computer Science, vol. 9164, pp. 90-99.
- I. Cabria and I. Gondra. Automated
Localization of Brain Tumors in MRI Using Potential-K-Means
Clustering Algorithm. Proceedings of 2015
Conference on Computer and Robot Vision
(CRV’15), pp. 125-132, IEEE, Halifax,
Canada, June 2015.
- I. Gondra
and F. I. Alam. Learning Spatial
Relations for Object-Specific Segmentation
Using Bayesian Network Model.
Signal, Image and
Video Processing
(Springer), vol. 8. no. 8, pp. 1441-1450, November 2014.
- I. Gondra, T. Xu,
D. Chiu, and M. Cormier. Object
Segmentation Through Multiple Instance
Learning. Proceedings of 2014
International Conference on Image and Signal
Processing (ICISP'14), Cherbourg,
France, June 2014. Springer Lecture Notes in
Computer Science, vol. 8509, pp. 568-577.
- D.
Chiu, I. Gondra, and T. Xu. Future
Directions in Multiple Instance Learning.
Journal of Theoretical and Applied
Computer Science (Polish Academy of
Sciences), vol. 7, no. 3, pp. 29-39,
December 2013.
- C.
H. Li, I. Gondra, and L. Liu. An
Efficient Parallel Neural Network-Based
Multi-Instance Learning Algorithm.
The Journal of Supercomputing
(Springer), vol. 62, no. 2, pp. 724-740,
November 2012.
- I. Cabria and I.
Gondra. A Mean Shift-Based Initialization
Method for K-means. Proceedings of
2012 IEEE International Conference on
Computer and Information Technology (CIT'12),
pp. 579-586, Chengdu, China, October 2012.
- I. Gondra and F.
I. Alam. Learning-Based Object
Segmentation Using Regional Spatial
Templates and Visual Features.
Proceedings of 2012
International Conference on Computer Vision
and Graphics (ICCVG'12), Warsaw,
Poland, September 2012. Springer Lecture
Notes in Computer Science, vol. 7594,
pp. 397-406.
- T. Xu, D. Chiu,
and I. Gondra. Constructing Target
Concept in Multiple Instance
Learning Using Maximum Partial Entropy.
Proceedings of 2012
International Conference on Machine Learning
and Data Mining (MLDM'12), Berlin,
Germany, July 2012. Springer Lecture
Notes in Computer Science, vol. 7376,
pp. 169-182.
- F. I. Alam and I. Gondra.
Incorporating Shape into Spatially-Aware
Adaptive Object Segmentation Algorithm.
Proceedings of the C3S2E Conference
(C3S2E’12), pp. 86-94, ACM, Montreal,
Canada, June 2012.
- T. Xu and I.
Gondra. A Simple and Effective Texture
Characterization for Image Segmentation.
Signal, Image and
Video Processing (Springer),
vol. 6, no. 2, pp. 231-245, June 2012.
- F. I. Alam and I.
Gondra. A Bayesian Network-based Tunable
Image Segmentation Algorithm for Object
Recognition. Proceedings of IEEE
International Symposium on Signal Processing
and Information Technology (ISSPIT'11),
pp. 11-16, Bilbao, Spain, December 2011.
- T. Xu, I. Gondra,
and D. Chiu. Adaptive Kernel Diverse
Density Estimate for Multiple Instance
Learning. Proceedings of 2011
International Conference on Machine Learning
and Data Mining (ICDM'11), New York, NY,
USA, August/September 2011. Springer Lecture
Notes in Computer Science, vol. 6871,
pp. 185-198.
- M. Cormier and I.
Gondra. Supervised Object Segmentation Using
Visual and Spatial Features. Proceedings
of the 2011 International Conference on
Image Processing, Computer Vision and
Pattern Recognition (IPCV'11), pp.
557-563, Las Vegas, Nevada, USA, July 2011.
- I.Gondra and T. Xu.
Image Region Re-Weighting via Multiple
Instance Learning.
Signal, Image and
Video Processing
(Springer). vol. 4, no. 4, pp. 409-417,
November 2010.
- C. H. Li and I. Gondra.
A Novel Neural Network-Based Approach for Multiple Instance
Learning. Proceedings of the Tenth IEEE International Conference on Computer and
Information Technology (CIT’10), pp. 451-456, Bradford, UK, June 2010.
- I. Gondra and T.
Xu. A Multiple Instance Learning Based
Framework for Semantic Image Segmentation.
Multimedia Tools and Applications
(Springer),
vol. 48, no. 2, pp. 339-365, April 2010.
- T. Xu and I. Gondra. Texture Map: An Effective
Representation for Image Segmentation.
Proceedings of the C3S2E Conference
(C3S2E’09), pp. 197-203, ACM, Montreal,
Canada, May 2009.
- I. Gondra and T.
Xu. Adaptive Mean Shift-Based Image
Segmentation Using Multiple Instance
Learning. Proceedings of the Third
IEEE International Conference on Digital
Information Management (ICDIM'08), pp.
716-721, London, UK, November 2008.
- R. Fernandes de
Mello and I. Gondra. Multi-Dimensional
Dynamic Time Warping for Image Texture
Similarity. Proceedings of the
Nineteenth Brazilian Symposium on Artificial
Intelligence (SBIA'08), Salvador, Bahia, Brazil, October 2008.
Springer Lecture Notes in Computer Science.
vol. 5249, pp. 23-32.
- I. Gondra and D. R. Heisterkamp.
Content-Based Image Retrieval with The
Normalized Information Distance.
Computer
Vision and Image Understanding (Elsevier),
vol. 111, no. 2, pp. 219-228, August 2008.
- T. Xu and I. Gondra.
An Objective Evaluation of the Mean
Shift-Based Image Segmentation Algorithm.
Proceedings of the 2008 International
Conference on Image Processing, Computer
Vision, and Pattern Recognition (IPCV'08),
pp. 205-211, Las Vegas, Nevada, USA, July
2008.
- I. Gondra. Applying Machine Learning to Software
Fault-Proneness Prediction.
Journal of Systems and
Software, Special Issue on
Model-Based Software Testing (Elsevier),
vol. 81, no. 2, pp. 186-195, February 2008.
- T. F. Hu, I.
Gondra, H. C. Su, and C. C. Chang.
Forecasting Inflation Under Globalization
with Artificial Neural Network-Based Thin
and Thick Models. Proceedings of the
2007 International Conference on Soft
Computing and Applications (ICSCA'07) (in
conjunction with the 2007 World Congress on
Engineering and Computer Science), pp.
909-914, San Francisco, California, USA,
October 2007.
- I. Cabria and I.
Gondra. Predicting Properties by
Exploiting Their Relationships.
Proceedings of the 2007 International
Conference on Engineering and Mathematics
(ENMA'07), pp. 125-131, Bilbao, Spain,
July 2007.
- T. F. Hu, I.
Gondra, and H. C. Su. Forecasting Daily
Stock Returns of East Asian Tiger Countries
with Intermarket Influences: A Comparative
Study on Artificial Neural Networks and
Conventional Models. Proceedings of
the 2007 International Conference on
Parallel and Distributed Processing
Techniques and Applications (PDPTA'07),
pp. 836-842, Las Vegas, Nevada, USA, June
2007.
- T. F. Hu, H. C.
Su, and I. Gondra. Examining Nonlinear
Interrelationships Among Foreign Exchange
Markets in the Pacific Basin with Artificial
Neural Networks. Proceedings of the
2007 International Conference on Parallel
and Distributed Processing Techniques and
Applications (PDPTA'07), pp. 829-835,
Las Vegas, Nevada, USA, June 2007.
- I. Gondra and D.
R. Heisterkamp. A Kolmogorov
Complexity-Based Normalized Information
Distance for Image Retrieval.
Proceedings of the 2005 International
Conference on Imaging Science, Systems, and
Technology (CISST'05), pp. 3-7, Las
Vegas, Nevada, USA, June 2005.
- I. Gondra and D.
R. Heisterkamp. Semantic Similarity for
Adaptive Exploitation of Inter-Query
Learning. Proceedings of the 2004
International Conference on Computing,
Communications, and Control Technologies
(CCCT'04) (sponsored by the University of
Texas at Austin), vol. 1, pp. 142-147,
Austin, Texas, USA, August 2004.
- I. Gondra and D.
R. Heisterkamp. Learning in Region-Based
Image Retrieval with Generalized Support
Vector Machines. Proceedings of the
Fourth International Workshop on Multimedia
Data and Document Engineering (MDDE'04) (in
conjunction with IEEE Conference on Computer
Vision and Pattern Recognition (CVPR'04)),
Washington, DC, USA, July 2004.
- I. Gondra and D.
R. Heisterkamp. Probabilistic Region
Relevance Learning for Content-Based Image
Retrieval. Proceedings of the 2004
International Conference on Imaging Science,
Systems, and Technology (CISST'04), pp.
434-440, Las Vegas, Nevada, USA, June 2004.
- I. Gondra, D. R. Heisterkamp, and J.
Peng. Improving Image Retrieval Performance
by Inter-Query Learning with One-Class
Support Vector Machines.
Neural Computing &
Applications (Springer), vol. 13, no. 2, pp.
130-139, June 2004.
- I. Gondra and D. R.
Heisterkamp. Summarizing Inter-Query
Knowledge in Content-Based Image Retrieval
via Incremental Semantic Clustering.
Proceedings of the Fifth IEEE International
Conference on Information Technology
(ITCC'04), vol. 2, pp. 18-22, Las Vegas,
Nevada, USA, April 2004.
- I. Gondra and D. R. Heisterkamp.
Adaptive and Efficient Image Retrieval with
One-Class Support Vector Machines for
Inter-Query Learning. WSEAS Transactions on
Circuits and Systems, vol. 3, no. 2, pp.
324-329, April 2004.
- I. Gondra, D. R.
Heisterkamp, and J. Peng. Improving the
Initial Image Retrieval Set by Inter-Query
Learning with One-Class SVMs. Proceedings of the Third International
Conference on Intelligent Systems Design and
Applications (ISDA'03), Tulsa, Oklahoma, USA, August 2003.
Springer Advances in Intelligent and Soft
Computing. vol. 23, pp. 393-402.
- A. Auyeung, I.
Gondra, and H. K. Dai. Integrating Random
Ordering into Multi-heuristic List
Scheduling Genetic Algorithm. Proceedings of the Third International
Conference on Intelligent Systems Design and
Applications (ISDA'03), Tulsa, Oklahoma, USA, August 2003.
Springer Advances in Intelligent and Soft
Computing. vol. 23, pp. 447-458.
- I. Gondra and M.
H. Samadzadeh. A Coarse-Grain Parallel
Genetic Algorithm for Finding Ramsey Numbers.
Proceedings of the Eighteenth Annual ACM
Symposium on Applied Computing (SAC'03),
pp. 2-8, Melbourne, Florida, USA, March
2003.
- A. AuYeung, I.
Gondra, and H. K. Dai. Multi-heuristic
List Scheduling Genetic Algorithm for Task
Scheduling. Proceedings of the
Eighteenth Annual ACM Symposium on Applied
Computing (SAC'03) , pp. 721-724,
Melbourne, Florida, USA, March 2003.
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Book Chapters |
- T. F. Hu, I.
Gondra, H. C. Su, and C. C. Chang.
Forecasting Inflation with the Influence of
Globalization using Artificial Neural
Network-based Thin and Thick Models. In
S. I. Ao, B. Rieger and S. S. Chen (Eds.),
Advances in Computational Algorithms and
Data Analysis, Lecture Notes in
Electrical Engineering, Vol. 14, pp.
563-575, Springer, 2008.
- I. Gondra.
Personalized Content-Based Image
Retrieval. In R. A. Gonzalez, N. Chen
and A. Dahanayake (Eds.),
Personalized
Information Retrieval and Access: Concepts,
Methods and Practices, pp.
194-219. IGI Publishing, 2008.
- I. Gondra.
Parallelizing Genetic Algorithms: A Case
Study. In D. Vrakas and I. Vlahavas
(Eds.),
Artificial
Intelligence for Advanced Problem Solving
Techniques, pp. 284-307. IGI
Publishing, 2008.
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Non-Refereed
Publications |
- M. Cormier and I. Gondra. “Strong Image
Segmentation Using Learned Regions and
Spatial Relationships”. In APICS Annual Computer Science
Conference, Saint Mary's University,
Halifax, Nova Scotia, Canada, October 2010.
- M. Cormier and I. Gondra. “Strong Image
Segmentation through Non-homogeneous Region
Merging”. In APICS Annual Computer Science
Conference, Dalhousie University, Halifax,
Nova Scotia, Canada, October 2009.
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Theses
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- I. Gondra.
Inter-Query Learning in Content-Based Image
Retrieval. Ph.D. Dissertation, Oklahoma
State University, Stillwater, Oklahoma, USA,
July 2005.
- I. Gondra. A
Coarse-Grain Parallel Genetic Algorithm to
Improve the Bounds of Some Ramsey Numbers.
Master Thesis, Oklahoma State University,
Stillwater, Oklahoma, USA, May 2002.
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