D. K. Ufuktepe, F. Yang, Y. M. Kassim, H. Yu, R. J. Maude, K. Palaniappan, and S. Jaeger. Deep Learning-Based Cell Detection and Extraction in Thin Blood Smears for Malaria Diagnosis. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pages 1--6, 2021.

J. Patman, M. Alfarhood, S. Islam, M. Lemus, P. Calyam, and K. Palaniappan. Predictive Analytics for Fog Computing using Machine Learning and GENI. IEEE INFOCOM International Workshop on Computer and Networking Experimental Research Using Testbeds (CNERT), April 2018.

S. Jaeger, A. Karargyris, S. Candemir, L. Folio, J. Siegelman, F. Callaghan, Z. Xue, K. Palaniappan, R. Singh, S. Antani, G. Thoma, Y.-X. Wang, P.-X. Lu, and C. J. McDonald. Automatic tuberculosis screening using chest radiographs. IEEE Trans. Medical Imaging, volume 33, issue 2, pages 233-245, 2014.

S. Candemir, K. Palaniappan, and Y. S. Akgul. Multi-class regularization parameter learning for graph cut image segmentation. IEEE Int. Symposium on Biomedical Imaging (ISBI), 2013.

I. Ersoy, F. Bunyak, K. Palaniappan, and J. Peng. HEp-2 Cell Classification in IIF Images Using ShareBoost. Int. Conf. Pattern Recognition, 2012.

J. Peng, K. Palaniappan, S. Candemir, and G. Seetharaman. Kullback-Leibler divergence-based data fusion for target tracking. Int. Conf. Pattern Recognition, 2012.

V. B. S. Prasath, F. Bunyak, P. Dale, S. R. Frazier, and K. Palaniappan. Segmentation of breast cancer tissue microarrays for computer-aided diagnosis in pathology. IEEE Healthcare Innovation Conference, 2012.

F. Bunyak, A. Hafiane, and K. Palaniappan. Histopathology tissue segmentation by combining fuzzy clustering with multiphase vector level sets. Software Tools and Algorithms for Biological Systems, Springer, pages 413--424, 2011.

J. Peng, C. Barbu, G. Seetharaman, F. Wei, X. Wu, and K. Palaniappan. ShareBoost: Boosting for multi-view learning with performance guarantees. Lecture Notes in Artificial Intelligence (ECML PKDD), volume 6912, pages 597--612, 2011.

S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso. Classification of cell cycle phases in 3D confocal microscopy using PCNA and chromocenter features. 7th Indian Conference on Computer Vision, Graphics and Image Processing, 2010.

S. Jaeger, K. Palaniappan, C. S. Casas-Delucchi, and M. C. Cardoso. Dual channel colocalization for cell cycle analysis using 3D confocal microscopy. IEEE Int. Conf. Pattern Recognition, 2010.

I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan. Segmentation and classification of cell cycle phases in fluorescence imaging. Lecture Notes in Computer Science (MICCAI), volume 5762, pages 617--624, 2009.

K. Palaniappan, F. Bunyak, S. Nath, and J. Goffeney. Parallel processing strategies for cell motility and shape analysis. High-Throughput Image Reconstruction and Analysis, Artech House Publishers, pages 39--85, 2009.

C. R. Shyu, M. Klaric, G. J. Scott, A. S. Barb, C. H. Davis, and K. Palaniappan. GeoIRIS: Geospatial information retrieval and indexing system -- Content mining, semantics, modeling, and complex queries. IEEE Trans. Geoscience Remote Sensing, Special issue on Image Information Mining for Earth Observation Data, volume 45, issue 4, pages 839--852, April 2007.

M. Klaric, G. Scott, C. Shyu, C. Davis, and K. Palaniappan. A framework for geospatial satellite imagery retrieval systems. IEEE Int. Geoscience and Remote Sensing Symposium, pages 2457--2460, 2006.

Y. Luo, K. Palaniappan, and Y. Li. New algorithms of neural fuzzy relation systems with min-implication composition. Lecture Notes in Computer Science (Advances in Natural Computation), volume 3612, pages 1132--1141, 2005.

C. R. Shyu, G. Scott, M. Klaric, C. H. Davis, and K. Palaniappan. Automatic object extraction from full differential morphological profile in urban imagery for efficient object indexing and retrievals. 3rd Int. Symposium on Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005), volume 36, issue 8, 2005.

D. Pi and K. Palaniappan. Robustness of discrete nonlinear systems with open-closed-loop iterative learning control. 1st IEEE Int. Conf. Machine Learning and Cybernetics, volume 3, pages 1263--1266, 2002.

Y. Zhao, X. Zhou, K. Palaniappan, and X. Zhuang. Statistical modeling for improved land cover classification. SPIE Battlespace Digitization and Network-Centric Warfare II, volume 4741, pages 296--304, 2002.

K. Palaniappan and F. Zhu. Automatic land cover classification using evolutionary algorithms and decision trees. 16th IFIP World Computer Congress 2000, Proc. Int. Conf. on Intelligent Information Processing, pages 327--332, 2000.

K. Palaniappan, F. Zhu, X. Zhuang, Y. Zhao, and A. Blanchard. Enhanced binary tree genetic algorithm for automatic land cover classification. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), volume II, pages 688--692, 2000.

F. Zhu, Y. Zhao, K. Palaniappan, X. Zhou, and X. Zhuang. Optimal Bayesian classifier for land cover classification using Landsat TM data. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), volume I, pages 447--450, 2000.

X. Zhuang, K. Palaniappan, and R. M. Haralick. Highly robust statistical methods based on minimum-error Bayesian classification. Visual Information Representation, Communication and Image Processing, Marcel-Dekker, pages 415--430, 1999.

X. Zhuang, Y. Huang, K. Palaniappan, and Y. Zhao. Gaussian mixture density modeling, decomposition and applications. IEEE Trans. Image Processing, volume 5, issue 9, pages 1293--1302, 1996.

Y. Huang, K. Palaniappan, X. Zhuang, and J. Cavanaugh. Optic flow field segmentation and motion estimation using a robust genetic partitioning algorithm. IEEE Trans. Pattern Analysis and Machine Intelligence, volume 17, issue 12, pages 1177--1190, 1995.