Articles in peer-reviewed journals

  1. N. J. Mapes, C. Rodriguez, P. Chowriappa and S. Dua, “Local Similarity Matrix for Cysteine Disulfide Connectivity Prediction from Protein Sequences”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2019 Jan 14. doi: 10.1109/TCBB.2019.2892441. [Epub ahead of print]
  2. N. J. Mapes, C. Rodriguez, P. Chowriappa and S. Dua, “Residue Adjacency Matrix Based Feature Engineering for Predicting Cysteine Reactivity in Proteins”, Computational and Structural Biotechnology Journal, Volume 17, 2019, Pages 90-100
  3. U R. Acharya, A. Akter, P. Chowriappa, S. Dua, U. Raghavendra, J.E.W. Koha, J. H. Tana, S. Leong, A. Vijayananthan, Y. Hagiwaraa, M.T.R. Hamidh, K. H. Ng,” Use of nonlinear features for automated characterization of suspicious ovarian tumors using ultrasound images in fuzzy forest framework”, International Journal of Fuzzy Systems, April 2018, Volume 20, Issue 4, pp 1385–1402.
  4. U. R. Acharya, P. Chowriappa, H. Fujita, S. Bhat, S. Dua, J.E.W. Koh, L.W.J. Eugene, P. Kongmebhol and K.H. Ng, “Thyroid Lesion Classification in 242 Patient Population using Gabor Transform Features from High-Resolution Ultrasound Images”, Knowledge-Based Systems Vol. 107, 1 September 2016, Pages 235–245; doi: 10.1016/ j.knosys.2016.06.010
  5. S. Ibrahim, P. Chowriappa, S. Dua, U.R. Acharya, K. Noronha, S. Bhandary and H. Mugasa, “Classification of diabetes maculopathy images using data-adaptive neuro-fuzzy inference classifier,” Medical & Biological Engineering & Computing, Dec. 2015, Volume 53, Issue 12, pp 1345–1360.
  6. P. Chowriappa, S. Dua, U.R. Acharya, and M. Krishnan, “Ensemble Selection for Feature-Based Classification of Diabetic Maculopathy Images,” Computers in Biology and Medicine 2013 Dec; 43(12): 2156-62. PubMed PMID: 24290932.
  7. S. Saini and S. Dua, “Temporal pattern mining for multivariate clinical decision support,” Stud Health Technol Inform. 2013; 192:1228. PMID: 23921002.
  8. M. Jain, P. Dua, S. Dua, W. J. Lukiw, “Data Adaptive Rule-based Classification System for Alzheimer Classification”, Journal of Computer Science & Systems Biology 6: 291-297 doi: 10.4172/jcsb.1000124.
  9. V. Nair and S. Dua, “Folksonomy Based Ad Hoc Community Detection in Online Social Networks,” Social Network Analysis and Mining, Vol. 2, Issue: 4, 305-328 (December 2012).
  10. S. Dua, X. Du, V. Sree, and T. Ahamed, “Classification of Normal and Coronary Artery Disease affected Patients using Heart Rate Variability Analysis,” Journal of Mechanics in Medicine and Biology Vol. 12, No. 4 (2012) 1240017 (19 pp).
  11. S. Dua, U.R. Acharya, P. Chowriappa, and V. Sree, “Wavelet-Based Energy Features for Glaucomatous Image Classification,” IEEE Transactions on Information Technology in Biomedicine, 16(1): 80-87 (2012).
  12. M. P. Dessauer and S. Dua, “Optic Disk Detection Using Feature Clustering and Classification in Retinal Fundus Images,” Journal of Medical Imaging and Health Informatics, vol. 1, no. 1, 56-60(5), March 2011.
  13. U.R. Acharya, O. Faust, S.V. Sree, D.N. Ghista, S. Dua, P. Joseph, V.I. Ahamed, N. Janarthanan and T. Tamura, “An Integrated Diabetic Index Using Heart Rate Variability Signal Features for Diagnosis of Diabetes”, Computer Methods Biomechanics and Biomedical Engineering 2013;16(2):222-34. doi: 10.1080/10255842.2011.616945. Epub 2011 Oct 4.
  14. R. Acharya, S. Dua, X. Du, V. Sree and C.K. Chua, “Automated Diagnosis of Glaucoma Using Texture and Higher Order Spectra Features,” IEEE Trans. Information Technology in BioMedicine, vol. 15, no. 3, 449-55, May 2011, PMID: 21349793.
  15. X. Du, S. Dua, R. Acharya, and C.K. Chua, “Classification of Epilepsy Using High-Order Spectra Features and Principle Component Analysis,” Journal of Medical Systems, [Epub ahead of print], Jan 2011, PMID: 21222222.
  16. S. Dua, S. Saini, and H. Singh, “Temporal Pattern Mining for Multivariate Time Series Classification,” Journal of Medical Imaging and Health Informatics, vol. 1, no. 2, 164-169, June 2011.
  17. X. Du and S. Dua, “Cancer Prognosis Using Support Vector Regression in Imaging Modality, World Journal of Clinical Oncology,” World Journal of Clinical Oncology, vol. 2, no. 1, 44-9, Jan 2011. PMID: 21603313.
  18. S. Dua, M. Dessauer, and P. Sethi, “Evaluating Cluster Preservation in Frequent Itemset Integration for Distributed Databases,” Journal of Medical Systems, [Epub ahead of print] 1-9, May 2010. Available: http://dx.doi.org/10.1007/s10916-010-9512-1. PMID: 20703684.
  19. S. Dua, N. Kandiraju, and P. Chowriappa, “Region Quad-Tree Decomposition-Based Edge Detection for Medical Images,” The Medical Informatics Journal, vol. 4, 50-57, May 2010. PMID: 20694158.
  20. X. Du and S. Dua, “Segmentation of Fluorescence Microscopy Cell Images Using Unsupervised Mining,” Medical Informatics Journal, vol. 10, 41-9, May 2010. PMID: 21116323.
  21. S. Dua, P. Chowriappa, and A. Alex, “Ranking through Integration of Protein-Similarity for Identification of Cell-Cyclic Genes,” Int. J. Bioinformatics Res. Appl., vol. 6, no. 2, 179-190, 2010. PMID: 20223739.
  22. S. Dua and P. Kidambi, “Protein Structural Classification Using Orthogonal Transformation and Class-Association Rules,” Int. Journal of Data Mining and Bioinformatics, vol. 4, no. 2, 175-190, 2010. PMID: 20423019.
  23. S. Dua, H. Singh, and H.W. Thompson, “Associative Classification of Mammograms using Weighted Rules,” in Expert Syst. Appl. 36, July 2009, pp. 2250-2259, doi= http://dx.doi.org/10.1016/j.eswa.2008.12.050. PMID: 20160889.
  24. P. Chowriappa, S. Dua, J. Kanno, and H.W. Thompson, “Protein Structure Classification Based on Conserved Hydrophobic Residues,” IEEE/ACM Trans. Computational Biology and Bioinformatics, vol. 6, no. 4, 639-651, Dec 2009. PMID: 19875862.
  25. S. Dua and S.S. Iyengar, “Advances in Medical Signal Processing,” IMIA Yearbook of Medical Informatics, Stuttgart, Germany: Schattauer Publishers, 2004.
  26. R. Acharaya, S.P. Bhat, S. Dua, S.S. Iyengar, and A. Rao, “Classification of Heart Rate Data Using Artificial Neural Network and Fuzzy Equivalence Relation,” Pattern Recognition, vol. 36, no. 1, 61-68, 2003. doi:10.1016/S0031-3203(02)00063-8.

Peer-reviewed Conference Papers

  1. Mapes, A. White, R. Medury and S. Dua, “Divisive Language and Propaganda Detection using Multi-head Attention Transformers with Deep Learning”, Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda, Association for Computational Linguistics, November 3-7 2019, Hong Kong. [1st Price Winner, Shared Task on Fine-Grained Propaganda Detection @NLP4IF 2019 SLC category: https://propaganda.qcri.org/nlp4if-shared-task/index.html].
  2. Appiah and S. Dua, “Tracking Feature Relevance with the Plaid Model in Continuously Changing Datasets” 2nd International Conference on Knowledge Engineering and Applications (ICKEA2017), October 21-23, 2017.
  3. Jaitly, P. Chowriappa and S. Dua, “A Framework to Identify Influencers in Signed Social Networks,” 5th International Conference on Advances in Computing, Communications and Informatics (ICACCI), September 21-24, 2016.
  4. Chowriappa and S. Dua, “Capturing Hydrophobic Moment using Spectral Coherence for Protein Secondary Structure Prediction,” 2013 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (IEEE CIBCB 2013) April 15-19, 2013.
  5. Dua and A. Olomola, “Functional Model Discovery from Gene Expression Time Series using Markov Models,” 16th Annual International Conference on Research in Computational Molecular Biology (RECOMB-2012), April 21-24, 2012.
  6. Dua, “Associative Learning based Intrusion Detection using Sensor Prioritization and Fusion”, Integrated Communications, Navigation and Surveillance Conference (ICNS), 2011, May 10-12, 2011.
  7. Saini and S. Dua, “A Grid-Based Scalable Classifier for High Dimensional Datasets,” in Proc. of Information Systems, Technology and Management, ser. Communications in Computer and Information Science 54, Berlin, Heidelberg, 2010, pp. 404-415.
  8. Dessauer and S. Dua, “Low-Resolution Vehicle Tracking using Dense and Reduced Local Gradient Features Maps,” in Proc. SPIE 7694, Orlando, FL, April 7, 2010, pp. 76941I-76941I-8.
  9. Dessauer and S. Dua, “Wavelet-Based Optical Flow Object Detection, Motion Estimation, and Tracking of Moving Vehicles,” in Proc. SPIE 7694, Orlando, FL, April 7, 2010, pp. 76941J-76941J-10.
  10. Dessauer and S. Dua, “Discriminative Features and Classification Methods for Accurate Classification,” in Proc. SPIE 7704, Orlando, FL, April 7, 2010, pp. 7704-77040L-14.
  11. Dessauer and S. Dua, “Multi-Scale Graph Theoretic Image Segmentation Using Wavelet Decomposition,” in Proc. SPIE 7704, Orlando, FL, April 7, 2010, pp. 77040N-77040N-9.
  12. Du and S. Dua, “Salient Frame Extraction Using Support Vector Regression and Motion Features,” in Proc. of the IEEE 2010 National Aerospace and Electronics Conference (NAECON 2010), Fairborn, OH, 2010, pp. 122-125.
  13. Dessauer, J. Hitchins, and S. Dua, “GPU-Enabled High-Performance Feature Modeling for ATR Applications,” in Proc. of the IEEE 2010 National Aerospace and Electronics Conference (NAECON 2010), Fairborn, OH, pp. 92-98.
  14. Singh, P. Chowriappa, and S. Dua, “Multi-Domain Protein Family Classification Using Isomorphic Inter-Property Relationships,” in Communications in Computer and Information Science, Contemporary Computing 40, Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp. 473-484. Available doi: 10.1007/978-3-642-03547-0_45.    
  15. Olomola and S. Dua, “Bi-Clustering of Gene Expression Data Using Conditional Entropy, in Pattern Recognition in Bioinformatics,” in Lecture Notes in Computer Science 5780, Berlin, Heidelberg: Springer Berlin Heidelberg, 2009, pp. 244-254. Available: http://dx.doi.org/10.1007/978-3-642-04031-3_22.
  16. Dua and S. Saini, “Data Shrinking Based Feature Ranking for Protein Classification,” in Proc. of Information Systems, Technology and Management: Communications in Computer and Information Science, Berlin, Heidelberg: Springer Berlin Heidelberg, vol. 31, part 3, pp. 54-63, 2009. Available: http://dx.doi.org/10.1007/978-3-642-00405-6_10.
  17. Dua and P. Chowriappa, “Prediction of Enzyme Classes using Spectral Based AA Information,” in Proc. of 12th Information Conf. Information Technology, Bhubhaneshwar, Dec. 21-23, 2009.        
  18. Dua and H. Singh, “Association Rule Based Feature Extraction for Character Recognition, in Information Systems,” in Information Systems, Technology and Management: Communications in Computer and Information Science, Berlin, Heidelberg: Springer Berlin Heidelberg, vol. 31, part 12, ch. 10, 2009, pp. 362-364. Available: http://dx.doi.org/ doi: 10.1007/978-3-642-00405-6_48.
  19. Cahoy, K. Crump, and S. Dua, “Exploratory Data Mining and Data Requirements to Support ToxCast Goals,” Proc. of ToxCast™ Data Analysis Summit, Transforming Toxicity Testing From In Vivo to In Vitro: A Computational Toxicology Challenge, Research Triangle Park, NC, May 14-15, 2009.
  20. Dua and P. Chowriappa, “ProteinMaps: Integration of Physico-Chemical Properties for Functional Annotation of Proteins,” in Proc. of 7th Asia Pacific Bioinformatics Conf., January 13-16, 2009.
  21. Dua and P. Srinivasan, “A Non-Voxel Based Feature Extraction to Detect Cognitive States in fMRI,” in Proc. of the 30th Annu. Int. Conf. IEEE Engineering in Medicine and Biology Society, August 20-25, 2008. PMID: 19163697.
  22. Alex, S. Dua, and P. Chowriappa, “Gene Ranking through the Integration of Synchronization Experiments,” in Proc. of IEEE Conf. Computational Intelligence in Bioinformatics and Bioengineering, Sun Valley, ID, September 15-17, 2008, pp. 136-142.
  23. Dua and K. S. Sabnis, “Wavelets-Based Dimensionality Reduction for Gene Expression Feature Extraction,” in Proc. of the Biotechnology and Bioinformatics Symposium (BIOT-2008), 2008, p. 10.
  24. Dua and P. Srinivasan, “A Non-Voxel Based Feature Extraction to Detect Cognitive States in fMRI,” in Proc. of the IEEE 30th Annu. Int. Conf. Engineering in Medicine and Biology Society, 2008, pp. 4431-4434.
  25. Dua, V. Jain, and H. W. Thompson, “Patient Classification Using Association Mining of Clinical Images,” in Proc. of 5th IEEE Int. Symp. Biomedical Imaging: From Nano to Macro, May 14-17, 2008, pp. 253-256.
  26. Dua, S. Lakhani, and H.W. Thompson, “Structural Classification Using Mining of Frequent Patterns in Concave Protein Surfaces,” in Proc. Int. Conf. on Research in Computational Molecular Biology (RECOMB-08), 2008 [Best Poster Presentation Award].
  27. Dua, P. Chowriappa, and A. Alex, “Isomorphic Mining of Gene Relationships for Integrated Discovery,” in The Fifth Annu. Conf. MidSouth Computational Biology and Bioinformatics Society (MCBIOS-2008), 2008.
  28. Dua, P. Chowriappa, and R. Rajagopalan, “Novel Protein Structural Classification by Discovering Coherence in Hydrophobicity Scales,” Proc. of Annual Meeting of International Society of Computational Biology (ISCB-2006), Fortaleza, Brazil, August 6-10, 2006.
  29. Dua and P.C. Kidambi, “Protein Structural Classification Using Associative Discrimination of Orthonormal Coefficients,” 3Dsig: The 2nd Structural Bioinformatics and Computational Biophysics Meeting, International Society of Computational Biology, 2006.
  30. Dua and S. Pothireddy, “Discovery and Modelling of Active Metabolic Paths Using Markov Models and Petri Nets,” in Proc. 23rd 26th Annu. Houston Conf. Biomedical Engineering Research, 2006.
  31. Balasubramanian, L.A. Perkins, S. Iyengar, S. Dua, and D. Kraft, “Evidence Combination for Traffic Adaptive Routing,” in Proc. 18th Int. Conf. Systems Engineering (IEEE Computer Society), December 27, 2005, pp. 355-362. doi: 10.1109/ICSENG.2005.40.
  32. Dua, K. Sabnis, and H. Singh, “Computational Identification of Gene Markers from Gene Expressions using Novel Dimensionality Reduction Schema,” Proc. of 8th Annu. Conf. Computational Genomics, Massachusetts Institute of Technology, Cambridge, Nov. 9-12, 2005.
  33. Clowers and S. Dua, “A New Approach for Fast Indexing of Hyperspectral Image Data for Knowledge Retrieval and Mining,” in Proc. SPIE 5999, Boston, MA, October 24, 2005, pp. 142-150.
  34. Dua and V. Mannava, “Towards Integrating Text and Images for Multimedia Retrieval in Heterogeneous Data Mining,” in Proc. SPIE 6015, October 24-26, 2005, pp. 365-376.
  35. Dua, N. Kandiraju, and H.W. Thompson, “Design and Implementation of a Unique Blood-Vessel Detection Algorithm towards Early Diagnosis of Diabetic Retinopathy,” in Proc. of IEEE Int. Conf. Information Technology: Coding and Computing (ITCC'05), April 4-6, 2005, pp. 26-31.
  36. Dua, N. Kandiraju, and S.A. Conrad, “Dihedral Angle Based Dimensionality Reduction for Protein Structural Comparison,” in Proc. of IEEE Int. Conf. Information Technology: Coding and Computing (ITCC'05), April 4-6, 2005, pp. 14-19.
  37. Dua and N. Kandiraju, “Novel Fast Structural Classification of Proteins using Dihedral-Angle Pairs,” in Proc. 7th Int. Conf. Information Technology, 2004.
  38. Dua and V. Jain, “Fast Associative-Rule Discovery Based Similarity Search in 3D Models,” in Proc. SPIE 5605, 2004, pp. 130-138.
  39. Dua, N. Kandiraju, and A. Rajopadhye, “Preferential Coverage-Based Efficient Sensor Placement in Distributed Sensor Networks,” in Proc. SPIE 5605, 2004, pp. 139-146. doi: 10.1117/12.569900.
  40. Dua and N. Kandiraju, “A Novel Computational Framework for Structural Classification of Proteins using Local Geometric Parameter Matching,” in Proc. 2004 IEEE Computational Systems Bioinformatics Conf., 2004, pp. 710-711. doi: 10.1109/CSB.2004.18.
  41. Dua, “A Novel Computational Paradigm towards Fast Similarity Search for Data Mining in Hydrological Data,” presented at Proc. Int. Conf. Water and Environment (WE-2003), Bhopal, India, Dec. 15-18, 2003.
  42. Sethi, S. Dua, R.W. Beuerman, M. Hartnett, “Real-Time Indexing of Retinal Images for Data Mining and Content-Based Image Retrieval Applications,” Proc. of The Association for Research in Vision and Ophthalmology 2003 Annu. Conf., Fort Lauderdale, FL, May 4-9, 2003.
  43. Dua, S.S. Iyengar, and E.C. Chow, “Discovery of Web Frequent Patterns and User Characteristics from Web Access Logs: A Framework for Dynamic Web Personalization,” in Proc. of IEEE Symp. Application-Specific Systems and Software Engineering Technology (ASSET 2000), March 24-25, 2000, pp. 3-8.
  44. Dua, Z. Chen, S.S. Iyengar, and J. Barhen, “A TRUST Approach to Solve Global Optimization Problems for Continuous Functions,” Proc. Int. Conf. Information Technology, Bhubaneshwar, India, 1999.