selected publications
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academic article
- Nguyen SZhang MAlahakoon DTan KC. Visualizing the evolution of computer programs for genetic programming [Research Frontier]. IEEE Computational Intelligence Magazine. 13:77-94. 2018
- Nguyen SPeng WSokolowski PAlahakoon DYu X. Optimizing rooftop photovoltaic distributed generation with battery storage for peer-to-peer energy trading. Applied Energy. 228:2567-2580. 2018
- De Silva DRanasinghe WBandaragoda TAdikari AMills NIddamalgoda LAlahakoon DLawrentschuk NPersad ROsipov EGray RBolton D. Machine learning to support social media empowered patients in cancer care and cancer treatment decisions. PLoS ONE. 13. 2018
- Nawaratne RAlahakoon DDe Silva DChhetri PChilamkurti N. Self-evolving intelligent algorithms for facilitating data interoperability in IoT environments. Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications. 86:421-432. 2018
- Bedingfield SAlahakoon DGenegedera HChilamkurti N. Multi-granular electricity consumer load profiling for smart homes using a scalable big data algorithm. Sustainable Cities and Society. 40:611-624. 2018
- Ranasinghe Wde Silva DBandaragoda TAdikari ALawrentschuk NAlahakoon DPersad RBolton D. ASO Author Reflections: Enabling Optimised Delivery of Patient-Centred Cancer Care Using Artificial Intelligence and Data Analytics. Annals of Surgical Oncology. 2018
- Wang YAlahakoon LDDe Silva D. An Extended Cognitive Situation Model for Capturing Subjective Dynamics of Events from Social Media. Australasian Journal of Information Systems. 2018
- Ranasinghe Wde Silva DBandaragoda TAdikari AAlahakoon DPersad RLawrentschuk NBolton D. Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups. Urologic Oncology: seminars and original investigations. 2018
- Bandaragoda TRanasinghe WAdikari Ade Silva DLawrentschuk NAlahakoon DPersad RBolton D. The Patient-Reported Information Multidimensional Exploration (PRIME) Framework for Investigating Emotions and Other Factors of Prostate Cancer Patients with Low Intermediate Risk Based on Online Cancer Support Group Discussions. Annals of Surgical Oncology. 25:1737-1745. 2018
- Bandaragoda TRDe Silva DAlahakoon LDD. Automatic event detection in microblogs using incremental machine learning. Journal of the Association for Information Science and Technology. 68:2394-2411. 2017
- Nathawitharana NHuang QOng KVitartas PJayaratne MAlahakoon LMidford SMichalewicz ASullivan Mort GAhmed T. Towards Next Generation Rubrics: An Automated Assignment Feedback System. Australasian Journal of Information Systems. 21:1-20. 2017
- Alahakoon DYu X. Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey. IEEE Transactions on Industrial Informatics. 12:425-436. 2016
- Alahakoon LDOng KLAlahakhoon DShanks G. Editorial for the special issue on business analytics applications. Australasian Journal of Information Systems. 19:S1-S3. 2015
- Nathawitharana NAlahakoon DMatharage S. Improving the decision value of hierarchical text clustering using term overlap detection. Australasian Journal of Information Systems. 19:S55-S75. 2015
- Shahparvari SChhetri PAbareshi AAbbasi BAlahakoon D. Multi-objective decision analytics for short-notice bushfire evacuation: An Australian case study. Australasian Journal of Information Systems. 19:S133-S151. 2015
- Gunasinghe UAlahakoon DBedingfield S. Extraction of high quality k-words for alignment-free sequence comparison. Journal of Theoretical Biology. 358:31-51. 2014
- De Silva DYu XAlahakoon DHolmes G. A data mining framework for electricity consumption analysis from meter data. IEEE Transactions on Industrial Informatics. 7:399-407. 2011
- Boo YLAlahakoon D. A brain inspired approach for multi-view patterns identification. World Academy of Science, Engineering and Technology. 71:805-814. 2010
- Ahmad NAlahakoon DChau R. Cluster identification and separation in the growing self-organizing map: application in protein sequence classification. Neural Computing and Applications. 19:531-542. 2010
- Bamunusinghe JAlahakoon D. Artificial visual percepts for image understanding. World Academy of Science, Engineering and Technology. 65:461-468. 2010
- Ahmad NAlahakoon D. Generating concept trees from dynamic self-organizing map. World Academy of Science, Engineering and Technology. 65:706-711. 2010
- Smith TAlahakoon D. Growing self-organizing map for online continuous clustering. Studies in Computational Intelligence. 204:49-83. 2009
- ASGHAR SALAHAKOON DCHURILOV L. CATEGORIZATION OF DISASTER DECISION SUPPORT NEEDS FOR THE DEVELOPMENT OF AN INTEGRATED MODEL FOR DMDSS. International Journal of Information Technology and Decision Making. 07:115-145. 2008
- Wickramasinghe LKAlahakoon LDSmith-Miles K. A novel Episodic Associative Memory model for enhanced classification accuracy. Pattern Recognition Letters. 28:1193-1202. 2007
- Lokuge PAlahakoon D. Improving the adaptability in automated vessel scheduling in container ports using intelligent software agents. European Journal of Operational Research. 177:1985-2015. 2007
- Lokuge PAlahakoon D. An extended agent model embedded with "intelligent-deliberation" for improved performances in a container terminal application. Web Intelligence and Agent Systems: an international journal. 4:385-405. 2006
- Wickramasinghe LKAlahakoon LD. Dynamic self organizing maps for discovery and sharing of knowledge in multi agent systems. Web Intelligence and Agent Systems: an international journal. 3:31-47. 2005
- Asghar SAlahakoon DChurilov L. A dynamic integrated model for disaster management decision support systems. International Journal of Simulation: Systems, Science and Technology. 6:95-114. 2005
- Lokuge PAlahakoon D. BDI agents using neural network and adaptive neuro fuzzy inference for intelligent planning in container terminals. Lecture Notes in Computer Science. 3316:941-946. 2004
- Lokuge PAlahakoon DDissanayake P. Homogeneous neuro-BDI agent architecture for berth scheduling in container terminals. Journal of Marine Design and Operations. 17-27. 2004
- Wickramasinghe LKAmarasiri RAlahakoon LD. A Hybrid Intelligent Multiagent System for E-Business. Computational Intelligence. 20:603-623. 2004
- Amarasiri RAlahakoon D. Building a cluster of intelligent, adaptive web sites. Neural Computing and Applications. 13:149-156. 2004
- Alahakoon LD. Controlling the spread of dynamic self-organising maps. Neural Computing and Applications. 13:168-174. 2004
- Alahakoon DAbraham AJain L. Special issue on ?Neural networks for enhanced intelligence?. Neural Computing and Applications. 13:99-100. 2004
- Asghar SAlahakoon DHsu A. Enhancing OLAP functionality using self-organizing neural networks. Neural, Parallel and Scientific Computations. 12:1-20. 2004
- Wickramasinghe LKLoke SWZaslavsky AAlahakoon D. A-GATE: A system of relay and translation gateways for communication among heterogeneous agents in ad hoc wireless environments. Lecture Notes in Computer Science. 2893:212-223. 2003
- Alahakoon DHalgamuge SKSrinivasan B. Dynamic self-organizing maps with controlled growth for knowledge discovery. IEEE Transactions on Neural Networks. 11:601-614. 2000
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chapter
- Huang QNathawitharana MNNOng KLLKeller SAlahakoon LDD. Mind the Gap: From Analytics to Action in Student Retention. 218-236. 2019
- Alahakoon LDWijenayake P. Leveraging big data for organizational performance management and control. 139-155. 2018
- Ong K-LDe Silva DBoo YLLim EHBodi FAlahakoon DLeao S. Big data applications in engineering and science. 315-351. 2016
- Rathnayake TWijewardena MKempitiya TRathnasekara KGanegedara TPerera ASAlahakoon D. Investigation of node deletion techniques for clustering applications of growing self organizing maps. Lecture Notes in Computer Science. 229-240. 2015
- Boo YLAlahakoon D. Building multi-modal crime profiles with growing self organising maps. Studies in Computational Intelligence. 97-124. 2014
- De Silva DSilva DAlahakoon DDharmage S. Extensions to knowledge acquisition and effect of multimodal representation in unsupervised learning. Studies in Computational Intelligence. 281-305. 2009
- Lokuge PAlahakoon D. Reinforcement learning-based intelligent agents for improved productivity in container vessel berthing applications. 155-184. 2005
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conference paper
- Ranasinghe Wde Silva DBandaragoda TAdikari ABolton DLawrentschuk NAlahakoon DPersad R. THE PRIME FRAMEWORK FOR INVESTIGATING EMOTIONS AND OTHER PATIENT FACTORS IN LOW-INTERMEDIATE RISK PROSTATE CANCER PATIENTS BASED ON ONLINE CANCER SUPPORT GROUP DISCUSSIONS. Journal of Urology. E133-E133. 2018
- Ranasinghe WDe Silva DBandaragoda TAdikari ABolton DAlahakoon DPersad RLawrentschuk N. Robotic-assisted laparoscopic prostatectomy vs open radical prostatectomy: the "real life" patient reported outcomes. BJU International. 55-55. 2018
- Nguyen PThiruvady DErnst AAlahakoon L. Genetic Programming Approach to Learning Multi-pass Heuristics for Resource Constrained Job Scheduling. GECCO 2018 - Proceedings of the Genetic and Evolutionary Computation Conference. 1167-1174. 2018
- Nallaperuma DDe Silva DAlahakoon DYu X. A cognitive data stream mining technique for context-aware IoT systems. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 4777-4782. 2017
- Jayaratne MAlahakoon DDe Silva DYu X. Apache spark based distributed self-organizing map algorithm for sensor data analysis. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 8343-8349. 2017
- Nawaratne RBandaragoda TAdikari AAlahakoon DDe Silva DYu X. Incremental knowledge acquisition and self-learning for autonomous video surveillance. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. 4790-4795. 2017
- Peng WSokolowski PPatel RYu XAlahakoon D. A multi-agent simulation framework for distributed generation with battery storage. 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE). 37-42. 2017
- Peng WAlahakoon DLi X. Preface. Lecture Notes in Computer Science. VI. 2017
- De Silva DAlahakoon D. A data fusion technique for smart home energy management and analysis. IECON Proceedings (Industrial Electronics Conference). 4594-4600. 2016
- De Silva DAlahakoon DYu X. A Data Fusion Technique for Smart Home Energy Management and Analysis. PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY. 4588-4594. 2016
- Vitartas PHeath JMidford SOng KAlahakoon DSullivan Mort G. Applications of Automatic Writing Evaluation to Guide the Understanding of Learning and Teaching. Show Me The Learning. 592-601. 2016
- Vitartas PAhmed TAlahakoon DMidford SNathawitharana NOng KSullivan Mort G. Using learning analytics to guide learning: an analysis of marketing assignments. Marketing in a Post-Disciplinary Era. 623-629. 2016
- Nathawitharana NAlahakoon DDe Silva D. Using semantic relatedness measures with dynamic self-organizing maps for improved text clustering. Proceedings of International Joint Conference on Neural Networks. 2662-2671. 2016
- Ong K-LHuang QAlahakoon D. Improving Bridge Deterioration Modelling Using Rainfall Data from the Bureau of Meteorology. Conferences in Research and Practice in Information Technology Series. 161-168. 2015
- Wijewardena MKempitiya TRathnayake TRathnasekara KGanegedara TPerera ASAlahakoon D. Heterogeneous data fusion with multiple kernel growing self organizing maps. Frontiers in Artificial Intelligence and Applications. 167-176. 2015
- Ishwara MRajapakse JAlahakoon D. A novel architecture for capturing discrete sequences using self-organizing maps. Lecture Notes in Computer Science. 551-558. 2014
- Ganegedara KMTVPathiranage LCVGunarathna UARRWijeweera BSPerera ASAlahakoon D. Extending dynamic SOMs to capture incremental changes in data. Proceedings of the International Joint Conference on Neural Networks. 1231-1238. 2014
- Nathawitharana NMatharage SAlahakoon D. Feature overlap-based dynamic self organizing model for hierarchical text clustering. 2013 IEEE 8th International Conference on Industrial and Information Systems, ICIIS 2013 - Conference Proceedings. 393-398. 2014
- Gunawardana KRajapakse JAlahakoon D. Improving quantization quality in brain-inspired self-organization for non-stationary data spaces. Lecture Notes in Computer Science. 519-526. 2014
- Fernando WPAPerera KACRanathunga AWijesooriya HGCAlahakoon DABAmararachchi J. Intelligent Web companion (IWC): Personalized web surfing tool. Proceedings - International Conference on Advances in ICT for Emerging Regions, ICTer 2013 - Conference Proceedings. 280-280. 2014
- Gunasinghe UAlahakoon D. The adaptive suffix tree: a space efficient sequence learning algorithm. Proceedings of The 2013 International Joint Conference on Neural Networks (IJCNN),. 1-8. 2014
- Matharage SGanegedara HAlahakoon D. A scalable and dynamic self-organizing map for clustering large volumes of text data. Proceedings of International Joint Conference on Neural Networks. 1-8. 2013
- Alahakoon DYu X. Advanced analytics for harnessing the power of smart meter big data. Proceedings - 2013 IEEE International Workshop on Intelligent Energy Systems, IWIES 2013. 40-45. 2013
- Wang TYu XAlahakoon DFei S. An enhancing dynamic self-organizing map for data clustering. IEEE International Conference on Control and Automation, ICCA. 1324-1329. 2013
- Gunawardana KRajapakse JAlahakoon D. Brain-inspired self-organizing model for incremental learning. Proceedings of International Joint Conference on Neural Networks. 1-8. 2013
- Bandara WMCPerera ASAlahakoon D. Churn prediction methodologies in the telecommunications sector: A survey. International Conference on Advances in ICT for Emerging Regions, ICTer 2013 - Conference Proceedings. 172-176. 2013
- Huang PPathirana PAlahakoon DBrotchie P. Application of growing self-organizing map to distinguish between finger tapping and non tapping from brain images. ICIAFS 2012 - Proceedings: 2012 IEEE 6th International Conference on Information and Automation for Sustainability. 232-236. 2012
- Wickramasinghe MGunawardana KRajapakse JAlahakoon D. Investigating individual game-play patterns using a self-organzing map. ICIAFS 2012 - Proceedings: 2012 IEEE 6th International Conference on Information and Automation for Sustainability. 203-208. 2012
- Wickramasinghe MRajapakse JAlahakoon D. Understanding individual play sequences using growing self organizing maps. Lecture Notes in Computer Science. 48-55. 2012
- Wickramasinghe MRajapakse JAlahakoon D. Investigating individual decision making patterns in games using growing self organizing maps. Lecture Notes in Computer Science. 826-831. 2012
- Gunasinghe UMatharage SAlahakoon D. A sequence based dynamic SOM model for text clustering. Proceedings of International Joint Conference on Neural Networks. 2012
- Ganegedara HAlahakoon D. Redundancy reduction in self-organising map merging for scalable data clustering. Proceedings of the International Joint Conference on Neural Networks. 1-8. 2012
- Ganegedara HAlahakoon DMashford JPaplinski AMüller KDeserno TM. Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections. Proceedings of the International Joint Conference on Neural Networks. 1-8. 2012
- Gunasinghe UAlahakoon D. Sequence learning using the adaptive suffix trie algorithm. Proceedings of the International Joint Conference on Neural Networks. 2012
- Boo YLAlahakoon D. Clusters driven implementation of a brain inspired model for multi-view pattern identifications. International Conference on Intelligent Systems Design and Applications, ISDA. 551-556. 2012
- Matharage SAlahakoon OAlahakoon DKapurubandara SNayyar RMukherjee MJagadish UYim SAlahakoon I. Analysing stillbirth data using dynamic self organizing maps. Proceedings - International Workshop on Database and Expert Systems Applications, DEXA. 86-90. 2011
- Fonseka AAlahakoon DRajapakse J. A dynamic unsupervised laterally connected neural network architecture for integrative pattern discovery. Lecture Notes in Computer Science. 761-770. 2011
- Matharage SAlahakoon DRajapakse JHuang P. Fast growing self organizing map for text clustering. Lecture Notes in Computer Science. 406-415. 2011
- Fonseka AAlahakoon DBedingfield S. GSOM sequence: An unsupervised dynamic approach for knowledge discovery in temporal data. Proceedigns - IEEE SSCI 2011: Symposium Series on Computational Intelligence - CIDM 2011: 2011 IEEE Symposium on Computational Intelligence and Data Mining. 232-238. 2011
- Boo YLAlahakoon D. Identifying multi-view patterns with Hierarchy and Granularity based Multimodal (HGM) cogntive model. Proceedings - 2011 IEEE International Conference on Granular Computing, GrC 2011. 71-76. 2011
- De Silva DYu XAlahakoon DHolmes G. Incremental pattern characterization learning and forecasting for electricity consumption using smart meters. Proceedings, ISIE 2011 : 2011 IEEE International Symposium on Industrial Electronics : Gdansk University of Technology, Gdańsk, Poland, 27-30 June, 2011. 807-812. 2011
- Ganegedara HAlahakoon D. Scalable data clustering: A Sammon's projection based technique for merging GSOMs. Lecture Notes in Computer Science. 193-202. 2011
- Wickramasinghe KAlahakoon DSchattner PGeorgeff M. Self-organizing maps for translating health care knowledge: A case study in diabetes management. Lecture Notes in Computer Science. 162-171. 2011
- De Silva DYu XAlahakoon DHolmes G. Semi-supervised classification of characterized patterns for demand forecasting using smart electricity meters. Electrical Machines and Systems (ICEMS), 2011 International Conference on. 1-6. 2011
- Gunasinghe UAlahakoon D. A biologically inspired neural clustering model for capturing patterns from incomplete data. Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability, ICIAfS 2010. 126-131. 2010
- Boo YLAlahakoon D. Application of a brain inspired model for profiling multi-view crime patterns. Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability, ICIAfS 2010. 493-498. 2010
- Matharage SAlahakoon D. Enhancing GSOM text clustering with Latent Semantic Analysis. Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability, ICIAfS 2010. 441-446. 2010
- Fonseka AAlahakoon D. Exploratory data analysis with multi-layer growing self-organizing maps. Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability, ICIAfS 2010. 132-137. 2010
- De Silva DAlahakoon D. Incremental knowledge acquisition and self learning from text. Neural Networks (IJCNN), The 2010 International Joint Conference on. 1-8. 2010
- De Silva DAlahakoon DRajapakse J. Towards the development of machine consciousness: Implications of Western philosophy and Buddhism. Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference on. 565-570. 2010
- Jayasinghe DHettiarachchi SAbeywickrama SKetteepearachchi CAlahakoon DMatharage SGunasinghe U. TxtKnot - Text clustering based concept hierarchy to generalize from different text sources. Proceedings of the 2010 5th International Conference on Information and Automation for Sustainability, ICIAfS 2010. 239-243. 2010
- Matharage SGunasinghe UAlahakoon D. Growing self organizing map with an imposed binary search tree for discovering temporal input patterns. ICIIS 2009 - 4th International Conference on Industrial and Information Systems 2009, Conference Proceedings. 222-226. 2009
- Ahmad NAlahakoon DChau R. Classification of protein sequences using the growing Self-Organizing map. Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008. 167-172. 2008
- Bamunusinghe JAlahakoon D. Investigating the effect of illumination and viewpoint on image recognisability. Proceedings of the 2008 4th International Conference on Information and Automation for Sustainability, ICIAFS 2008. 502-506. 2008
- Boo YLAlahakoon D. Mining multi-modal crime patterns at different levels of granularity using hierarchical clustering. 2008 International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA 2008. 1268-1273. 2008
- Dinalankara WDe Silva DAlahakoon D. Self learning and its implications for machine understanding. Information and Automation for Sustainability, 2008. ICIAFS 2008. 4th International Conference on. 507-512. 2008
- Yaohua YAlahakoon D. Batch implementation of growing self-organizing map. CIMCA 2006: International Conference on Computational Intelligence for Modelling, Control and Automation, Jointly with IAWTIC 2006: International Conference on Intelligent Agents Web Technologies .... 2007
- De Silva DAlahakoon DDharmage S. Cluster analysis using the GSOM: Patterns in epidemiology. Information and Automation for Sustainability, 2007. ICIAFS 2007. Third International Conference on. 63-69. 2007
- Bamunusinghe JAlahakoon D. Concept learning from visual experiences using unsupervised neural networks. Proceedings of the 2007 3rd International Conference on Information and Automation for Sustainability, ICIAFS. 46-51. 2007
- Zhuang ZYAmarasiri RChurilov LAlahakoon DSikaris K. Exploring the clinical notes of pathology ordering by Australian general practitioners: A text mining perspective. Proceedings of the Annual Hawaii International Conference on System Sciences. 2007
- Wickramasinghe LKAlahakoon LD. Enhancing episodic associative memory models for practical use. IEEE Region 10 Annual International Conference, Proceedings/TENCON. 2007
- Yu YAlahakoon D. A modified algorithm for the fast processing with the Growing Self-Organizing Map. 2nd International Conference on Information and Automation, ICIA 2006. 140-145. 2006
- De Silva DDe Silva LPDPAlahakoon D. Analysis of seismic activity using the growing SOM for the identification of time dependent patterns. Information and Automation, 2006. ICIA 2006. International Conference on. 155-159. 2006
- Wickramasinghe LKAlahakoon D. Dynamically refining the task models of agents in a multi-agent system: A less communication intensive approach. 2nd International Conference on Information and Automation, ICIA 2006. 177-182. 2006
- Lokuge PAlahakoon D. Implementing intention reconsideration strategies and deliberation decision of intelligent h-BD[I] agents. 2nd International Conference on Information and Automation, ICIA 2006. 86-91. 2006
- Lokuge PAlahakoon D. Intelligent agents with reinforcement learning and fuzzy logic for intention commitment modeling. Proceedings - ISDA 2006: Sixth International Conference on Intelligent Systems Design and Applications. 899-904. 2006
- Alahakoon D. Message from program chair. 2nd International Conference on Information and Automation, ICIA 2006. 2006
- Chen LAlahakoon D. NeuroEvolution of augmenting topologies with learning for data classification. 2nd International Conference on Information and Automation, ICIA 2006. 367-371. 2006
- Amarasiri RAlahakoon DPremarathne M. The effect of random weight updation in dynamic self organizing maps. 2nd International Conference on Information and Automation, ICIA 2006. 183-188. 2006
- Amarasiri RAlahakoon DSmith-Miles K. Clustering massive high dimensional data with dynamic feature maps. Lecture Notes in Computer Science. 814-823. 2006
- Asghar SAlahakoon DChurilov L. A hybrid decision support system model for disaster management. Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems. 372-377. 2005
- Lokuge PAlahakoon D. A motivation based behavior in hybrid intelligent agents for intention reconsideration process in vessel berthing applications. Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems. 124-129. 2005
- Wickramasinghe LKAlahakoon LD. A novel adaptive decision making agent architecture inspired by human behavior and brain study models. Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems. 142-147. 2005
- Amarasiri RAlahakoon DSmith KA. HDGSOM: A modified Growing Self-Organizing Map for high dimensional data clustering. Proceedings - HIS'04: 4th International Conference on Hybrid Intelligent Systems. 216-221. 2005
- Lokuge PAlahakoon D. An extended BDI agent architecture with multiple intention reconsideration ability in a vessel berthing application. Proceedings of the Eighteenth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2005 - Recent Advances in Artifical Intelligence. 333-338. 2005
- Chen SAlahakoon DIndrawan M. Background knowledge driven ontology discovery. Proceedings - 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05. 202-207. 2005
- Chen SAlahakoon DIndrawan M. Building an adaptive hierarchy of clusters for text data. Proceedings - International Conference on Computational Intelligence for Modelling, Control and Automation, CIMCA 2005 and International Conference on Intelligent Agents, Web Technologies and Internet. 7-12. 2005
- Wickramasinghe LKAlahakoon LDSmith KA. Computation of meta-learning classifiers in Distributed Data Mining using a novel cognitive memory model. Proceedings - 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'05. 180-186. 2005
- Amarasiri RAlahakoon DPremaratne MSmith K. Enhancing clustering performance of feature maps using randomness. WSOM 2005 - 5th Workshop on Self-Organizing Maps. 463-470. 2005
- Amarasiri RCeddia JAlahakoon D. Exploratory data mining lead by text mining using a novel high dimensional clustering algorithm. Proceedings - ICMLA 2005: Fourth International Conference on Machine Learning and Applications. 267-272. 2005
- Amarasiri RAlahakoon DSmith KPremaratne M. HDGSOMr: A high dimensional growing self-organizing map using randomness for efficient web and text mining. Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. 215-221. 2005
- Lokuge PAlahakoon D. Handling multiple events in hybrid BDI agents with reinforcement learning: A container application. ICEIS 2005 - Proceedings of the 7th International Conference on Enterprise Information Systems. 83-90. 2005
- Lokuge PAlahakoon D. Reinforcement learning in neuro BDI agents for achieving agent's intentions in vessel berthing applications. Proceedings - International Conference on Advanced Information Networking and Applications, AINA. 681-686. 2005
- Wickramasinghe KAlahakoon D. Representation of procedural knowledge of an intelligent agent using a novel cognitive memory model. Lecture Notes in Computer Science. 714-721. 2005
- Lokuge PAlahakoon D. Shared learning vector quantization in a new agent architecture for intelligent deliberation. Lecture Notes in Computer Science. 806-813. 2005
- Wickramasinghe LKAlahakoon LD. Adaptive agent architecture inspired by human behavior. Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004. 450-453. 2004
- Lokuge PAlahakoon D. Hybrid BDI agents with improved learning capabilities for adaptive planning in a container terminal application. Proceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004. 120-126. 2004
- Lokuge PAlahakoon DDissanayake P. BDI agents with fuzzy associative memory for vessel berthing in container ports. ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems. 315-320. 2004
- Lokuge PAlahakoon D. Hybrid BDI agents with ANFIS in identifying goal success factor in a container terminal application. Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004. 1222-1223. 2004
- Lokuge PAlahakoon DDissanayake P. Collaborative neuro-BDI agents in container terminals. Proceedings - International Conference on Advanced Information Networking and Application (AINA). 155-158. 2004
- Wickramasinghe LKAlahakoon LD. Discovery and sharing of knowledge with self-organized agents. Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03. 126-132. 2003
- Wang XAlahakoon DSmith KA. Improved web searching through neural network based index generation. Lecture Notes in Computer Science. 151-158. 2003
- Alahakoon DHalgamuge SKSrinivasan B. Data mining with self generating neuro-fuzzy classifiers. IEEE International Conference on Fuzzy Systems. 1999
- Alahakoon LDHalgamuge SKSrinivasan B. Self generating neural architecture for data analysis. Proceedings of the International Joint Conference on Neural Networks. 3548-3551. 1999
- Alahakoon DHalgamuge SKSrinivasan B. Self growing cluster development approach to data mining. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. 2901-2906. 1998
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editorial article
- Ranasinghe WBandaragoda TDe Silva DAlahakoon D. A novel framework for automated, intelligent extraction and analysis of online support group discussions for cancer related outcomes. BJU International. 120:59-61. 2017