SELECTED PUBLICATIONS
Areas
1. Multiagent Systems, Modeling, and Simulation
2. Computer-Aided Education Systems
3. Computer Science Education
4. Informatics
5. Image Processing, Remote Sensing
Though the following papers are categorized into the above five areas, several of them belong to multiple categories. For example, papers in area 2 often involve evaluations in classrooms, impacting area 3; agents are used in most of my area 2 systems, thus tying area 1 and area 2 topics
Multiagents, Modeling, and Simulation
Eck, A., M. Shah, P. Doshi, L.-K. Soh (2020).Scalable Decision-Theoretic Planning in Open and Typed Multiagent Systems, Proceedings for the 34th AAAI Conference on Artificial Intelligence (AAAI’2020), February 7-12, New York, NY, pp. 7127-7134.
Foruzan, E., L.-K. Soh, and S. Asgarpoor (2018). Reinforcement Learning Approach for Optimal Distributed Energy Management in a Microgrid, IEEE Transactions on Power Systems, 33(5):5749-5758.
Eck, A., L.-K. Soh, S. Devlin, and D. Kudenko (2016). Potential-Based Reward Shaping for Finite Horizon Online POMDP Planning, Autonomous Agents and Multiagent Systems, 30(3):403-445.
Chandrasekaran, M., A. Eck, P. Doshi, and L.-K. Soh (2016). Individual Planning in Open and Typed Agent Systems, in Proceedings of the International Conference on Uncertainty in Artificial Intelligence (UAI’2016), June 25029, New York City, NY, pp. 82-91.
Eck, A. and L.-K. Soh (2015). To Ask, Sense, or Share: Ad Hoc information Gathering, in Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems (AAMAS’2015), Istanbul, Turkey, May 4-8, 2015, pp. 367-376. PDF
Kahrobaee, S., R. Rajabzadeh, L.-K. Soh, and S. Asgarpoor (2014). Multiagent Study of Smart Grid Customers with Neighborhood Electricity Trading, Electric Power Systems Research, 111:123-132.
Shell, D. F., L.-K. Soh, and V. Chiriacescu (2014). Modeling Self-Efficacy with the Computational Unified Learning Model, in Proceedings of the 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC14), London, UK, August 18-20, 2014, pp. 117-125.
Eck, A. and L.-K. Soh (2014). Online Heuristic Planning for Highly Uncertain Domains, in Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS’2014), Paris, France, May 5-9, 2014, pp. 741-748. PDF
Jumadinova, J., R. Dasgupta, and L.-K. Soh (2014). Strategic Capability-Learning for Improved Multi-Agent Collaboration in Ad-Hoc Environments, IEEE Transactions on Systems, Man, and Cybernetics-Part A, 44(8):1003-1014. PDF
Chiriacescu, V., L.-K. Soh, and D. F. Shell (2013). Understanding Human Learning Using a Multi-Agent Simulation of the Unified Learning Model, International Journal of Cognitive Informatics and Cognitive Computing, 7(4):1-25. PDF
Kahrobaee, S., R. Rajabzadeh, L.-K. Soh , and S. Asgarpoor (2013). A Multigent Modeling and Investigation of Smart Homes with Power Generation, Storage, and Trading Features, IEEE Transactions on Smart Grids, 4(2):659-668. PDF
Eck, A. and L.-K. Soh (2013) Observer Effect from Stateful Resources in Agent Sensing, Journal of Autonomous Agents and Multiagent Systems, 26(2):202-244. PDF
Soh, L.-K. and X. Li (2008). Investigating Adaptive, Confidence-Based Strategic Negotiations in Complex Multiagent Environments, Web Intelligence and Agent Systems, 6(3):313-326. PDF
Soh, L.-K. (2008). Considering Operational Issues for Multiagent Ontological Inferencing in a Distributed Information Retrieval Application, Web Intelligence and Agent Systems, 6(1):1-28. PDF
Li, X. and L.-K. Soh (2005) Hybrid Negotiation for Resource Coordination in Multiagent Systems, Web Intelligence and Agent Systems, 3(4):231-259. PDF
Soh, L.-K. and C. Tsatsoulis (2005). A Real-Time Negotiation Model and A Multi-Agent Sensor Network Implementation, Journal of Autonomous Agents and Multi-Agent Systems, 11:215-271. PDF
Soh, L.-K. and C. Chen (2005). Balancing Ontological and Operational Factors in Refining Multiagent Neighborhoods, in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’2005), Utrecht, Netherlands, pp. 745-752. PDF
Soh, L.-K. and X. Li (2004). Adaptive, Confidence-Based Multiagent Negotiation Strategy, in Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS’2004), New York, NY, July 19-23, pp. 1048-1055. PDF
Soh, L.-K. and X. Li (2003). An Integrated Multilevel Learning Approach to Multiagent Coalition Formation, in Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI’2003), Acapulco, Mexico, August 12-15, 619-624. PDF
Soh, L.-K. and C. Tsatsoulis (2001). Reflective Negotiating Agents for Real-Time Multisensor Target Tracking, in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI’01), August 6-11, Seattle, WA, pp. 1121-1127. PDF
Computer-Aided Education
Miller, L. D., L.-K. Soh, A. Samal, K. Kupchak, and G. Nugent (2015). A Comparison of Educational Statistics and Data Mining Approaches to Identify Characteristics that Impact Online Learning, Journal of Educational Data Mining, 7(3):117-150. PDF
Eck, A., L.-K. Soh, and C. Brassil (2013). Supporting Active Wiki-based Collaboration. Proceedings of the 10th International Conference on Computer Supported Collaborative Learning (CSCL’13), Madison, Wisconsin, June 15-19, 2013, pp. 176-183. PDF
Miller, L.D. and L.-K. Soh (2013). Meta-Reasoning Algorithms for Improving Analysis of Student Interactions with Learning Objects using Supervised Learning, in Proceedings of the 6th International Conference on Educational Data Mining (EDM’2013), Memphis, TN, July 6-9, pp. 129-136. PDF
Miller, L. D., L.- K. Soh, G. Nugent, and A. Samal (2011). iLOG: A Framework for Automatic Annotation of Learning Objects with Empirical Usage Metadata, International Journal of Artificial Intelligence in Education, 21:215-236. PDF
Khandaker, N., L.-K. Soh, L. D. Miller, A. Eck, and H. Jiang (2011). Lessons Learned from Comprehensive Deployments of Multiagent CSCL Applications I-MINDS and ClassroomWiki, IEEE Transactions on Learning Technologies, 4(1):47-58. PDF
Khandaker, N. and L.-K. Soh (2011). SimCoL: A Simulation Tool for Computer-Supported Collaborative Learning, IEEE Transactions on Systems, Man, and Cybernetics: Part C: Applications and Reviews, 41(4):533-543. PDF
Khandaker, N. and L.-K. Soh (2010). ClassroomWiki: A Collaborative Wiki for Instructional Use with Multiagent Group Formation, IEEE Transactions on Learning Technologies, 3(3):190-202. PDF
Khandaker, N. & Soh, L.-K. (2010). Improving Group Selection and Assessment in an Asynchronous Collaborative Learning Application, International Journal of Artificial Intelligence in Education, 20(3):231-268. PDF
Khandaker, N. and L.-K. Soh (2010). A Wiki with Multiagent Tracking, Modeling, and Coalition Formation, Proceedings of the 22nd Innovative Applications of Artificial Intelligence Conference (IAAI’2010), Atlanta, GA, July 12-14, 2010, pp. 1799-1806. PDF
Riley, S.. D. Miller, L.-K. Soh, A.Samal, and G. Nugent (2009). A Framework for Automatic Empirically-Based Metadata Generation, Proceedings of the International Conference on Artificial Intelligence in Education (AIED’2009), Brighton, UK, July 6-10. PDF
Khandaker, N. and L.-K. Soh (2008). Forming and Scaffolding Human Coalitions: A Framework and An Implementation in Computer-Supported Collaborative Learning Environment, International Transactions on Systems Science and Applications, 4(1):3-22. PDF
Soh, L.-K., N. Khandaker, and H. Jiang (2008). I-MINDS: A Multiagent System for Intelligent Computer-Supported Cooperative Learning and Classroom Management, International Journal of Artificial Intelligence in Education, 18(2):119-151. PDF
Soh, L.-K. and T. Blank (2008). Integrating Case-Based Reasoning and Multistrategy Learning for a Self-Improving Intelligent Tutoring System, International Journal of Artificial Intelligence in Education, 18(1):27-58. PDF
Soh, L.-K. (2007). Integrated Introspective Case-Based Learning for Intelligent Tutoring Systems, Proceedings of the 22nd AAAI Conference on Artificial Intelligence (AAAI’07), July 22-26, Vancouver, British Columbia, Canada, pp. 1566-1571. PDF
Soh, L.-K., D. Fowler, and A. I. Zygielbaum (2007-2008). The Impact of the Affinity Learning Authoring Tool on Student Learning, Journal of Educational Technology Systems, 36(1):29-62. PDF
Nugent, G., L.-K. Soh, and A. Samal (2006). Design, Development and Validation of Learning Objects, Journal of Educational Technology Systems, 34(3):271-281. PDF
Soh, L.-K., N. Khandaker, and H. Jiang (2006). Multiagent Coalition Formation for Computer-Supported Cooperative Learning, in Proceedings of the Innovative Applications of Artificial Intelligence (IAAI’2006), July 17-20, Boston, MA, pp. 1844-1851. PDF
Soh, L.-K. and T. Blank (2005). An Intelligent Agent that Learns How to Tutor Students: Design and Results, in Proceedings of International Conference on Computers in Education (ICCE’2005), November 28 – December 2, Singapore, 420-427. Best Paper Award. PDF
Computer Science Education
Flanigan, A., M., Peteranetz, D. Shell, and L.-K. Soh (to appear). Shifting Beliefs in Computer Science, accepted to ACM Transactions on Computing Education.
Peteranetz, M. and L.-K. Soh (2020).A Multi-Level Analysis of the Relationship between Instructional Practices and Retention in Computer Science, Proceedings for the 51st ACM Technical Symposium on Computing Science Education (SIGCSE’2020), Portland, OR, March 11-14, 2020, pp. 37-43.
Peteranetz, M., P. M. Morrow, and L.-K. Soh (2020).Development and Validation of the Computational Thinking Concepts and Skills Test, Proceedings for the 51st ACM Technical Symposium on Computing Science Education (SIGCSE’2020), Portland, OR, March 11-14, 2020, pp. 926-932.
Peteranetz, M. S., L.-K. Soh, and E. Ingraham (2019). Building Computational Creativity in an Online Course for Non-Majors, Proceedings for the 50th ACM Technical Symposium on Computing Science Education (SIGCSE’2018), Minneapolis, MN, February 25-March 1, 2019, pp. 442-448.
Miller, L. D., L.-K. Soh, and M. S. Peteranetz (2019). Investigating the Impact of Group Size on Non-Programming Exercises in CS Education Courses, Proceedings for the 50th ACM Technical Symposium on Computing Science Education (SIGCSE’2018), Minneapolis, MN, February 25-March 1, 2019, pp. 22-28.
Peteranetz, M. S., A. E. Flanigan, D. F. Shell, and L.-K. Soh (2018). Future-Oriented Motivation and Retention in Computer Science, Proceedings of the 49th ACM Technical Symposium on Computing Science Education (SIGCSE’2018), Baltimore, MD, February 21-24, 2018, pp. 350-355.
Peteranetz, M. S., S. Wang, D. F. Shell, A. E. Flanigan, and L.-K. Soh (2018). Examining the Impact of Computational Creativity Exercises on College Computer Science Students’ Learning, Achievement, Self-Efficacy, and Creativity, Proceedings of the 49th ACM Technical Symposium on Computing Science Education (SIGCSE’2018), Baltimore, MD, February 21-24, 2018, pp. 155-160.
Soh, L.-K., and S. Cooper (2018). Guest Editorial Special Issue on Computing in Engineering, IEEE Transactions on Education, 61(3):165-166.
Peteranetz, M. S., A. E. Flanigan, D. F. Shell, and L.-K. Soh (2018). Helping Engineering Students Learn in Introductory Computer Science (CS1) Using Computational Creativity Exercises (CCEs), IEEE Transactions on Education, 61(3):195-203. Special Issue on Computing in Engineering.
Peteranetz, M., A. Flanigan, D. F. Shell, and L.-K. Soh (2018). Career Aspirations, Perceived Instrumentality, and Achievement in Undergraduate Computer Science, Contemporary Educational Psychology, 53:27-44.
Peteranetz, M., A. Flanigan, D. F. Shell, and L.-K. Soh (2017). Computational Creativity: An Avenue for Promoting Learning in Computer Science, IEEE Transactions on Education, 60(4):305-313.
Flanigan, A., M. Peteranetz, D. F. Shell, and L.-K. Soh (2017). Implicit Intelligence Beliefs of Computer Science Students: Exploring Change across the Semester, Contemporary Educational Psychology, 48:179-196. (PlumX Metrics – Top Social Media Articles One of the top-10 2017 articles that have had the most social media attention in terms of: Captures, Mentions, Social Media and Citations.)
Eck, A., L.-K. Soh, and D. F. Shell (2016). Investigating Differences in Wiki-based Collaborative Activities between Student Engagement Profiles in CS1, in Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE’2016), Memphis, TN, March 2-5, pp. 36-41. PDF
Flanigan, A., M. Peteranetz, D. F. Shell, and L.-K. Soh (2016). Students’ Initial Course Motivation and Their Achievement and Retention in College CS1 Courses, in Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE’2016), Memphis, TN, March 2-5, pp. 639-644. PDF
Flanigan, A., M. Peteranetz, D. F. Shell, and L.-K. Soh (2015). Exploring Changes in Computer Science Students’ Implicit Theories of Intelligence across the Semester, Proceedings of the International Computing Education Research (ICER’2015), Omaha, NE, August 9-13, pp. 161-168. PDF
Soh, L.-K., D. F. Shell, E. Ingraham, S. Ramsay, and Brian Moore (2015). Viewpoint: Improving Learning and Achievement in Introductory Computer Science through Computational Creativity, Communications of the ACM, 58(8):33-35. PDF
Muto-Nelson, K. G., D. F. Shell, J. Husman, E. Fishman, and L.-K. Soh (2015). Student Approaches to Learning in a Foundational Engineering Course: A Motivational and Self-Regulated Learning Profiles Perspective, Journal of Engineering Education, 104(1):74-100. PDF
Miller, L. D., L.-K. Soh, V. Chiriacescu, E. Ingraham, D. F. Shell, and M. Patterson Hazley (2014). Integrating Computational and Creative Thinking to Improve Learning and Performance in CS1, Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGCSE’2014), March 5-8, Atlanta, GA, pp. 475-480. PDF
Shell, D. and L.-K. Soh (2013). Profiles of Motivated Self-Regulation in College Computer Science Courses: Differences in Major versus Required Non-Major Courses, Journal of Science Education and Technology, 22(6):899-913. PDF
Shell, D. F., M. Patterson Hazley, L.-K. Soh, E. Ingraham, and S. Ramsay (2013). Association of Students’ Creativity, Motivation, and Self-Regulation with Learning and Achievement in College Computer Science Courses, in Proceedings of the Frontiers in Education Conference (FIE’2013), Oklahoma City, OK, October 23-26, pp. 1637-1643. PDF
Miller, L. D., L.-K. Soh, B. Neilsen, E. Lam , A. Samal, K. Kupzyk, and G. Nugent (2011). Revising Computer Science Learning Objects from Learner Interaction Data, in Proceedings of the 42nd Technical Symposium on Computer Science Education (SIGCSE’2011), Houston, TX, March 9-12, 2011, pp. 45-50. PDF
Miller, L. D., L.-K. Soh, A. Samal, G. Nugent, K. Kupzyk, and L. Masmaliyeva (2011). Evaluating the Use of Learning Objects in CS1, in Proceedings of the 42nd Technical Symposium on Computer Science Education (SIGCSE’2011), Houston, TX, March 9-12, 2011, pp. 57-62. PDF
Soh, L.-K., A. Samal, S. Scott, S. Ramsay, E. Moriyama, G. Meyer, B. Moore, W. G. Thomas, and D. F. Shell (2009). Renaissance Computing: An Initiative for Promoting Student Participation in Computing, Proceedings of the SIGCSE’2009, Chattanooga, Tennessee, March 4-7, pp. 59-63. PDF
Spradling, C., L.-K. Soh, and C. Ansorge (2008). Ethics Training and Decision-Making: Do Computer Science Programs Need Help? Proceedings of the SIGCSE’2008, Portland, Oregon, March 12-15, pp. 153-157. PDF
Spradling, C., L.-K. Soh, and C. J. Ansorge (2009). A Comprehensive Survey on the Status of Social and Professional Issues in United States Undergraduate Computer Science Programs and Recommendations, Computer Science Education, 19(3):137-153. PDF
Soh, L.-K., A. Samal, and G. Nugent (2007). An Integrated Framework for Improved Computer Science Education: Strategies, Implementations, and Results, Computer Science Education, 17(1):59-83. PDF
Soh, L.-K. (2006). Implementing the Jigsaw Model in CS1 Closed Labs, in Proceedings of the 11th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education (ITiCSE’2006), Bologna, Italy, June 26-28, pp. 162-167. PDF
Nugent, G., L.-K. Soh, A. Samal, and J. Lang (2006). A Placement Test for Computer Science: Design, Implementation, and Analysis, Computer Science Education, 16(1):19-36. PDF
Lang , J., G. Nugent, A. Samal, and L.-K. Soh (2006). Implementing CS1 with Embedded Instructional Research Design in Laboratories, IEEE Transactions on Education, 49(1):157-165. PDF
Soh, L.-K., G. Nugent, and A. Samal (2005). A Framework for CS1 Closed Laboratories, Journal of Educational Resources in Computing, 5(4):1-13. PDF
Soh, L.-K. (2004). Using Game Days to Teach a Multiagent Systems Class, in Proceedings of the 35th Technical Symposium on Computer Science Education (SIGCSE’2004), March 3-7, Norfolk, VA, pp. 219-223. PDF
Soh, L.-K., H. Jiang, and C. Ansorge (2004). Agent-Based Cooperative Learning: A Proof-of-Concept Experiment, in Proceedings of the 35th Technical Symposium on Computer Science Education (SIGCSE’2004), March 3-7, Norfolk, VA, pp. 368-372. PDF
Informatics (GeoInformatics, Survey Informatics, Adaptive Decision Making)
Stevens, J., A. P. Saltzman, T. Rasmussen, and L.-K. Soh (2021) Improving Measurements of Similarity Judgments with Machine-Learning Algorithms, Journal of Computational Social Science, 4:613-629, https://doi.org/10.1007/s42001-020-00098-1
Schell, Z., A. Samal, and L.-K. Soh (2020). An Information Fusion Approach for Conflating Labeled Point-Based Time-Series Data, Geoinformatica, 25:1-41. https://doi.org/10.1007/s10707-020-00417-8.
Weinberg, D. H., J. M. Abowd, R. F. Belli, N. Cressie, D. C. Folch, S. H. Holan, M. C. Levenstein, K. M. Olson, J. P. Reiter, M. D. Shapiro, J. D. Smyth, L.-K. Soh, B. D. Spencer, S. E. Spielman, L. Vilhuber, and C. K. Wikle (2018). Effects of a Government-Academic Partnership: Has the NSF-Census Bureau Research Network Helped Improve the US Statistical System?, Journal of Survey Statistics and Methodology, 7:589-619.
Belli, R. F., L. D. Miller, T. Al Baghal, and L.-K. Soh (2016). Using Data Mining to Predict the Occurrence of Respondent Retrieval Strategies in Calendar Interviewing: The Quality of Retrospective Reports, Journal of Official Statistics, 32(3):579-600.
Eck, A., L.-K. Soh, K. Olson, A. L. McCutcheon, J. Smyth, and R. F. Belli (2015). Understanding the Human Condition through Survey Informatics, Computer, 48(11):110-114.
Hong, T., K. Hart, A. Samal, and L.-K. Soh (2014). Using Spatial Data Support for Reducing Uncertainty in Geospatial Applications, Geoinformatica, 18:63-92.
Joshi, D., L.-K. Soh, and A. Samal (2013). Spatio-Temporal Polygonal Clustering with Space and Time as First-Class Citizens, Geoinformatica, 17(3):387-412.
Joshi, D., L.-K. Soh, and A. Samal (2012). Redistricting Using Constrained Polygonal Clustering, IEEE Transactions on Knowledge and Data Engineering, 24(11):2065-2079.
Joshi, D., L.-K. Soh, and A. Samal (2009). Redistricting Using Heuristic-Based Polygonal Clustering, Proceedings of the 22nd IEEE International Conference on Data Mining (ICDM’2009), Miami, FL, December 6-9, 2009, pp. 171-178. PDF
Wu, H., L.-K. Soh, A. Samal, and X. Chen (2008). Trend Analysis of Streamflow Drought Events in Nebraska, Water Resources Management, 22:145-164. FDF
Fu, L., L.-K. Soh, and A. Samal (2008). Techniques for Computing Fitness of Use (FoU) for Time Series Datasets with Applications in the Geospatial Domain, Geoinformatica, 12(1):91-115. PDF
Soh, L.-K., A. Samal, and J. Zhang (2006). A Task-Based Approach to User Interface Design for a Web-Based Hydrologic Information System, Transactions on GIS, 10(3):417-449.PDF
Image Processing, Remote Sensing
Pack, C., Y. Liu, L.-K. Soh, and E. Lorang (2022). Augmentation-based Pseudo-Groundtruth Generation for Deep Learning in Historical Document Segmentation for Greater Levels of Archival Description and Access, Journal on Computing and Cultural Heritage, https://doi.org/10.1145/3485845
Pack, C.,-K. Soh, and E. Lorang (2022). Visual Domain Knowledge-Based Multimodal Zoning for Textual Region Localization in Noisy Historical Document Images, Journal of Electronic Imaging, 30(6), https://doi.org/10.1117/1.JEI.30.6.063028
Liu, Y., L.-K. Soh, and E. Lorang (2021). Investigating coupling preprocessing with shallow and deep convolutional neural networks in document image classification, Journal of Electronic Imaging, 30(4), 043024, doi: 10.1117/1.JEI.30.4.043024
Soh, L.-K., E. Lorang, and Y. Liu (2018). Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers, Proceedings of the. 30th AAAI Conference on Innovative Applications of Artificial Intelligence (IAAI-18), New Orleans, USA, Feb. 2-7, 2018, pp. 7837-7842.
Lorang, E., L.-K. Soh, M. Datla, and S. Kulwicki (2016). Developing an Image-Based Classifier for Detecting Poetic Content in Historic newspaper Collections, D-Lib Magazine, 21(7/8), DOI:10.1045/july2015-lorang.
Soh, L.-K., C. Tsatsoulis, D. Gineris, and C. Bertoia (2004). ARKTOS: An Intelligent System for Satellite Sea Ice Images, IEEE Transactions on Geoscience and Remote Sensing, 42(1):229-248. (Paper referenced by The Bibliography on Cold Regions Science and Technology, currently compiled by the American Geological Institute, at http://www.coldregions.org/cralert.htm#C_C_N390)
Soh, L.-K. (2003). A Multiresolution, Dynamic and Adaptive Image Quantization Methodology: Automation and Analysis, Journal of Electronic Imaging, 12(2):229-243.
Soh, L.-K. and C. Tsatsoulis (2002). ARKTOS: A Knowledge Engineering Software Tool for Images, International Journal of Human-Computer Studies, 57(6):469-496.
Soh, L.-K. and C. Tsatsoulis (2000). Using Learning by Discovery to Segment Remotely Sensed Images, in Proceedings of the 17th International Conference on Machine Learning (ICML-2000), June 29 – July 2, Stanford, CA, pp. 919-926. PDF
Soh, L.-K. and C. Tsatsoulis (2000). Separating Touching Objects in Remote Sensing Imagery: The Restricted Growing Concept and Implementations, IEEE Transactions on Image Processing, 9(2):312-315.
Soh, L.-K. and C. Tsatsoulis (1999). Unsupervised Segmentation of ERS and RADARSAT Sea Ice Images Using Multiresolution Peak Detection and Aggregated Population Equalization, International Journal of Remote Sensing, 20(15&16):3087-3109.
Soh, L.-K. and C. Tsatsoulis (1999). Segmentation for Satellite Imagery of Natural Scenes Using Data Mining, IEEE Transactions on Geoscience and Remote Sensing, 37(2):1086-1099.
Soh, L.-K. and C. Tsatsoulis (1999). Texture Analysis of SAR Sea Ice Imagery Using Gray Level Co-occurrence Matrices, IEEE Transactions on Geoscience and Remote Sensing, 37(2):780-795.
Haverkamp, D., L.-K. Soh, and C. Tsatsoulis (1995). A Comprehensive, Automated Approach to Determining Sea Ice Thickness from SAR Data, IEEE Transactions on Geoscience and Remote Sensing, 33(1):46-57.