default search action
Damminda Alahakoon
Person information
- affiliation: Monash University, Melbourne, Australia
SPARQL queries
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j59]Gihan Gamage, Daswin De Silva, Nishan Mills, Damminda Alahakoon, Milos Manic:
Emotion AWARE: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis. J. Big Data 11(1): 93 (2024) - [j58]Vidura Sumanasena, Heshan Fernando, Daswin De Silva, Beniel Thileepan, Amila Pasan, Jayathu Samarawickrama, Evgeny Osipov, Damminda Alahakoon:
Hardware Efficient Direct Policy Imitation Learning for Robotic Navigation in Resource-Constrained Settings. Sensors 24(1): 185 (2024) - [j57]Evgeny Osipov, Sachin Kahawala, Dilantha Haputhanthri, Thimal Kempitiya, Daswin De Silva, Damminda Alahakoon, Denis Kleyko:
Hyperseed: Unsupervised Learning With Vector Symbolic Architectures. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6583-6597 (2024) - [c99]Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon:
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams. GECCO 2024 - [c98]Prasad Hettiarachchi, Isuru Senadheera, Rashmika Nawaratne, Brendon Haslam, Damminda Alahakoon, Leeanne Carey:
Capturing Real-Time Behavior of Post Stroke Survivors using Mobile Technologies. HSI 2024: 1-8 - [c97]Chamod Samarajeewa, Daswin De Silva, Evgeny Osipov, Damminda Alahakoon, Milos Manic:
Causal Reasoning in Large Language Models using Causal Graph Retrieval Augmented Generation. HSI 2024: 1-6 - [c96]Gihan Gamage, Nishan Mills, Daswin De Silva, Milos Manic, Harsha Moraliyage, Andrew Jennings, Damminda Alahakoon:
Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems. ICIT 2024: 1-6 - [c95]Sajani Ranasinghe, Daswin De Silva, Nishan Mills, Damminda Alahakoon, Milos Manic, Yen Lim, Weranja Ranasinghe:
Addressing the Productivity Paradox in Healthcare with Retrieval Augmented Generative AI Chatbots. ICIT 2024: 1-6 - [i8]Pivithuru Thejan Amarasinghe, Diem Pham, Binh Tran, Su Nguyen, Yuan Sun, Damminda Alahakoon:
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams. CoRR abs/2404.12076 (2024) - 2023
- [j56]Binh Tran, Chamika Sudusinghe, Su Nguyen, Damminda Alahakoon:
Building interpretable predictive models with context-aware evolutionary learning. Appl. Soft Comput. 132: 109854 (2023) - [j55]Damminda Alahakoon, Rashmika Nawaratne, Yan Xu, Daswin De Silva, Uthayasankar Sivarajah, Bhumika Gupta:
Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities. Inf. Syst. Frontiers 25(1): 221-240 (2023) - [j54]Byron M. Perrin, Dimitri Diacogiorgis, Courtney Sullivan, James Gerrard, Isabelle Skinner, Timothy C. Skinner, Rashmika Nawaratne, Damminda Alahakoon, Michael Kingsley:
Habitual Physical Activity of People with or at Risk of Diabetes-Related Foot Complications. Sensors 23(13): 5822 (2023) - [c94]Daswin De Silva, Nishan Mills, Mona El-Ayoubi, Milos Manic, Damminda Alahakoon:
ChatGPT and Generative AI Guidelines for Addressing Academic Integrity and Augmenting Pre-Existing Chatbots. ICIT 2023: 1-6 - [c93]Prabod Rathnayaka, Gihan Gamage, Daswin De Silva, Damminda Alahakoon, Milos Manic:
EmoZen: A Robust Word Embedding for Implicit and Explicit Expressions of Emotion. IECON 2023: 1-4 - [c92]Gihan Gamage, Sachin Kahawala, Nishan Mills, Daswin De Silva, Milos Manic, Damminda Alahakoon, Andrew Jennings:
Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI. ISIE 2023: 1-6 - [c91]Lakshitha Gunasekara, Harsha Moraliyage, Daswin De Silva, Nishan Mills, Damminda Alahakoon, Andrew Jennings, Milos Manic:
A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. ISIE 2023: 1-6 - [i7]Pivithuru Thejan Amarasinghe, Su Nguyen, Yuan Sun, Damminda Alahakoon:
AI-Copilot for Business Optimisation: A Framework and A Case Study in Production Scheduling. CoRR abs/2309.13218 (2023) - 2022
- [j53]Harsha Moraliyage, Vidura Sumanasena, Daswin De Silva, Rashmika Nawaratne, Lina Sun, Damminda Alahakoon:
Multimodal Classification of Onion Services for Proactive Cyber Threat Intelligence Using Explainable Deep Learning. IEEE Access 10: 56044-56056 (2022) - [j52]Achini Adikari, Daswin De Silva, Harsha Moraliyage, Damminda Alahakoon, Jiahui Wong, Mathew Gancarz, Suja Chackochan, Bomi Park, Rachel Heo, Yvonne Leung:
Empathic conversational agents for real-time monitoring and co-facilitation of patient-centered healthcare. Future Gener. Comput. Syst. 126: 318-329 (2022) - [j51]Shah Jahan Miah, Huy Quan Vu, Damminda Alahakoon:
A social media analytics perspective for human-oriented smart city planning and management. J. Assoc. Inf. Sci. Technol. 73(1): 119-135 (2022) - [j50]Sadil Chamishka, Ishara Madhavi, Rashmika Nawaratne, Damminda Alahakoon, Daswin De Silva, Naveen K. Chilamkurti, Vishaka Nanayakkara:
A voice-based real-time emotion detection technique using recurrent neural network empowered feature modelling. Multim. Tools Appl. 81(24): 35173-35194 (2022) - [j49]Daswin De Silva, Damminda Alahakoon:
An artificial intelligence life cycle: From conception to production. Patterns 3(6): 100489 (2022) - [j48]Prabod Rathnayaka, Nishan Mills, Donna Burnett, Daswin De Silva, Damminda Alahakoon, Richard Gray:
A Mental Health Chatbot with Cognitive Skills for Personalised Behavioural Activation and Remote Health Monitoring. Sensors 22(10): 3653 (2022) - [j47]Harsha Moraliyage, Sanoshi Dahanayake, Daswin De Silva, Nishan Mills, Prabod Rathnayaka, Su Nguyen, Damminda Alahakoon, Andrew Jennings:
A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions. Sensors 22(23): 9503 (2022) - [j46]Su Nguyen, Dhananjay R. Thiruvady, Mengjie Zhang, Damminda Alahakoon:
Automated Design of Multipass Heuristics for Resource-Constrained Job Scheduling With Self-Competitive Genetic Programming. IEEE Trans. Cybern. 52(9): 8603-8616 (2022) - [c90]Diem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon:
Fairness Aware Swarm-based Machine Learning for Data Streams. AI 2022: 205-219 - [c89]Gihan Gamage, Nishan Mills, Prabod Rathnayaka, Andrew Jennings, Damminda Alahakoon:
Cooee: An Artificial Intelligence Chatbot for Complex Energy Environments. HSI 2022: 1-5 - [c88]Gihan Gamage, Daswin De Silva, Achini Adikari, Damminda Alahakoon:
A BERT-based Idiom Detection Model. HSI 2022: 1-5 - [c87]Sachin Kahawala, Dilantha Haputhanthri, Harsha Moraliyage, Shashini Wimalaratne, Damminda Alahakoon, Andrew Jennings:
Comparative Evaluation of Gradient Boosting with Active Thresholding and Model Explainability for Peak Demand Forecasting. HSI 2022: 1-6 - [c86]Thimal Kempitiya, Daswin De Silva, Ebonie Rio, Richard Skarbez, Damminda Alahakoon:
Personalised Physiotherapy Rehabilitation using Artificial Intelligence and Virtual Reality Gaming. HSI 2022: 1-6 - [c85]Harsha Moraliyage, Sachin Kahawala, Daswin De Silva, Damminda Alahakoon:
Evaluating the Adversarial Robustness of Text Classifiers in Hyperdimensional Computing. HSI 2022: 1-8 - [c84]Kirishnni Prabagar, Kogul Srikandabala, Nilaan Loganathan, Daswin De Silva, Gihan Gamage, Prabod Rathnayaka, Amal Shehan Perera, Damminda Alahakoon:
Investigating COVID-19 Vaccine Messaging in Online Social Networks using Artificial Intelligence. HSI 2022: 1-6 - [c83]Shashini Wimalaratne, Dilantha Haputhanthri, Sachin Kahawala, Gihan Gamage, Damminda Alahakoon, Andrew Jennings:
UNISOLAR: An Open Dataset of Photovoltaic Solar Energy Generation in a Large Multi-Campus University Setting. HSI 2022: 1-5 - [c82]Dilantha Haputhanthri, Evgeny Osipov, Sachin Kahawala, Daswin De Silva, Thimal Kempitiya, Damminda Alahakoon:
Evaluating Complex Sparse Representation of Hypervectors for Unsupervised Machine Learning. IJCNN 2022: 1-6 - [c81]Thimal Kempitiya, Daswin De Silva, Sachin Kahawala, Dilantha Haputhanthri, Damminda Alahakoon, Evgeny Osipov:
Parameterization of Vector Symbolic Approach for Sequence Encoding Based Visual Place Recognition. IJCNN 2022: 1-7 - [c80]Jinrong Wu, Su Nguyen, Damminda Alahakoon:
Explainable Network Pruning for Model Acceleration Based on Filter Similarity and Importance. IVCNZ 2022: 214-229 - 2021
- [j45]Vivek Christopher, Tharmasanthiran Aathman, Kayathiri Mahendrakumaran, Rashmika Nawaratne, Daswin De Silva, Vishaka Nanayakkara, Damminda Alahakoon:
Minority Resampling Boosted Unsupervised Learning With Hyperdimensional Computing for Threat Detection at the Edge of Internet of Things. IEEE Access 9: 126646-126657 (2021) - [j44]Dinithi Jayaratne, Daswin De Silva, Damminda Alahakoon, Xinghuo Yu:
Continuous detection of concept drift in industrial cyber-physical systems using closed loop incremental machine learning. Discov. Artif. Intell. 1(1) (2021) - [j43]Achini Adikari, Gihan Gamage, Daswin De Silva, Nishan Mills, Sze-Meng Jojo Wong, Damminda Alahakoon:
A self structuring artificial intelligence framework for deep emotions modeling and analysis on the social web. Future Gener. Comput. Syst. 116: 302-315 (2021) - [j42]Achini Adikari, Donna Burnett, Darshana Sedera, Daswin De Silva, Damminda Alahakoon:
Value co-creation for open innovation: An evidence-based study of the data driven paradigm of social media using machine learning. Int. J. Inf. Manag. Data Insights 1(2): 100022 (2021) - [j41]Pawara Gunawardena, Oshada Amila, Heshan Sudarshana, Rashmika Nawaratne, Ashish Kr. Luhach, Damminda Alahakoon, Amal Shehan Perera, Charith Chitraranjan, Naveen K. Chilamkurti, Daswin De Silva:
Real-time automated video highlight generation with dual-stream hierarchical growing self-organizing maps. J. Real Time Image Process. 18(5): 1457-1475 (2021) - [j40]Madhura Jayaratne, Damminda Alahakoon, Daswin De Silva:
Unsupervised skill transfer learning for autonomous robots using distributed Growing Self Organizing Maps. Robotics Auton. Syst. 144: 103835 (2021) - [j39]Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan:
People-Centric Evolutionary System for Dynamic Production Scheduling. IEEE Trans. Cybern. 51(3): 1403-1416 (2021) - [j38]Achini Adikari, Damminda Alahakoon:
Understanding Citizens' Emotional Pulse in a Smart City Using Artificial Intelligence. IEEE Trans. Ind. Informatics 17(4): 2743-2751 (2021) - [c79]Madhavi Gayathri, Amanda Ariyaratne, Sachin Kahawala, Daswin De Silva, Damminda Alahakoon, Vishaka Nanayakkara, Evgeny Osipov, Xinghuo Yu:
Learning Rule Optimization and Comparative Evaluation of Accelerated Self-Organizing Maps for Industrial Applications. IECON 2021: 1-6 - [c78]Donna Burnett, Nicole El-Haber, Damminda Alahakoon, Stamatis Karnouskos, Daswin De Silva:
Advancing an Artificial Intelligence Ethics Framework for Operator 4.0 in Sustainable Factory Automation. SOHOMA 2021: 363-375 - [i6]Thimal Kempitiya, Seppo A. Sierla, Daswin De Silva, Matti Yli-Ojanperä, Damminda Alahakoon, Valeriy Vyatkin:
An Artificial Intelligence Framework for Bidding Optimization with Uncertainty in Multiple Frequency Reserve Markets. CoRR abs/2104.01865 (2021) - [i5]Daswin De Silva, Damminda Alahakoon:
An Artificial Intelligence Life Cycle: From Conception to Production. CoRR abs/2108.13861 (2021) - [i4]Evgeny Osipov, Sachin Kahawala, Dilantha Haputhanthri, Thimal Kempitiya, Daswin De Silva, Damminda Alahakoon, Denis Kleyko:
HyperSeed: Unsupervised Learning with Vector Symbolic Architectures. CoRR abs/2110.08343 (2021) - 2020
- [j37]Thanh-Phu Nguyen, Su Nguyen, Damminda Alahakoon, Van-Nam Huynh:
GSIC: A New Interpretable System for Knowledge Exploration and Classification. IEEE Access 8: 108544-108554 (2020) - [j36]Diem Pham, Binh Tran, Su Nguyen, Damminda Alahakoon:
Swarm-Based Machine Learning Algorithm for Building Interpretable Classifiers. IEEE Access 8: 228136-228150 (2020) - [j35]Nishan Mills, Daswin De Silva, Damminda Alahakoon:
Generating Situational Awareness of Pedestrian and Vehicular Movement in Urban Areas Using IoT Data Streams. IEEE Internet Things J. 7(5): 4395-4402 (2020) - [j34]Rashmika Nawaratne, Achini Adikari, Damminda Alahakoon, Daswin De Silva, Naveen K. Chilamkurti:
Recurrent Self-Structuring Machine Learning for Video Processing using Multi-Stream Hierarchical Growing Self-Organizing Maps. Multim. Tools Appl. 79(23-24): 16299-16317 (2020) - [j33]Tharindu R. Bandaragoda, Achini Adikari, Rashmika Nawaratne, Dinithi Nallaperuma, Ashish Kumar Luhach, Thimal Kempitiya, Su Nguyen, Damminda Alahakoon, Daswin De Silva, Naveen K. Chilamkurti:
Artificial intelligence based commuter behaviour profiling framework using Internet of things for real-time decision-making. Neural Comput. Appl. 32(20): 16057-16071 (2020) - [j32]Rashmika Nawaratne, Damminda Alahakoon, Daswin De Silva, Xinghuo Yu:
Spatiotemporal Anomaly Detection Using Deep Learning for Real-Time Video Surveillance. IEEE Trans. Ind. Informatics 16(1): 393-402 (2020) - [j31]Rashmika Nawaratne, Damminda Alahakoon, Daswin De Silva, Harsha Kumara, Xinghuo Yu:
Hierarchical Two-Stream Growing Self-Organizing Maps With Transience for Human Activity Recognition. IEEE Trans. Ind. Informatics 16(12): 7756-7764 (2020) - [c77]Su Nguyen, Binh Tran, Damminda Alahakoon:
Dynamic Self-Organising Swarm for Unsupervised Prototype Generation. CEC 2020: 1-8 - [c76]Ishara Madhavi, Sadil Chamishka, Rashmika Nawaratne, Vishaka Nanayakkara, Damminda Alahakoon, Daswin De Silva:
A Deep Learning Approach for Work Related Stress Detection from Audio Streams in Cyber Physical Environments. ETFA 2020: 929-936 - [c75]Piyumini Wijenayake, Daswin De Silva, Damminda Alahakoon, Saliya Kirigeeganage:
Automated Detection of Social Roles in Online Communities using Deep Learning. ICSIM 2020: 63-68
2010 – 2019
- 2019
- [j30]Su Nguyen, Dhananjay R. Thiruvady, Andreas T. Ernst, Damminda Alahakoon:
A hybrid differential evolution algorithm with column generation for resource constrained job scheduling. Comput. Oper. Res. 109: 273-287 (2019) - [j29]Madhura Jayaratne, Dinithi Nallaperuma, Daswin De Silva, Damminda Alahakoon, Brian Devitt, Kate E. Webster, Naveen K. Chilamkurti:
A data integration platform for patient-centered e-healthcare and clinical decision support. Future Gener. Comput. Syst. 92: 996-1008 (2019) - [j28]Madhura Jayaratne, Daswin De Silva, Damminda Alahakoon:
Unsupervised Machine Learning Based Scalable Fusion for Active Perception. IEEE Trans Autom. Sci. Eng. 16(4): 1653-1663 (2019) - [j27]Dinithi Nallaperuma, Rashmika Nawaratne, Tharindu R. Bandaragoda, Achini Adikari, Su Nguyen, Thimal Kempitiya, Daswin De Silva, Damminda Alahakoon, Dakshan Pothuhera:
Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management. IEEE Trans. Intell. Transp. Syst. 20(12): 4679-4690 (2019) - [j26]Wei Peng, Achini Adikari, Damminda Alahakoon, John S. Gero:
Discovering the influence of sarcasm in social media responses. WIREs Data Mining Knowl. Discov. 9(6) (2019) - [c74]Denis Kleyko, Evgeny Osipov, Daswin De Silva, Urban Wiklund, Valeriy Vyatkin, Damminda Alahakoon:
Distributed Representation of n-gram Statistics for Boosting Self-organizing Maps with Hyperdimensional Computing. Ershov Informatics Conference 2019: 64-79 - [c73]Denis Kleyko, Evgeny Osipov, Daswin De Silva, Urban Wiklund, Damminda Alahakoon:
Integer Self-Organizing Maps for Digital Hardware. IJCNN 2019: 1-8 - [c72]Achini Adikari, Daswin De Silva, Damminda Alahakoon, Xinghuo Yu:
A Cognitive Model for Emotion Awareness in Industrial Chatbots. INDIN 2019: 183-186 - [c71]Rashmika Nawaratne, Damminda Alahakoon, Daswin De Silva, Xinghuo Yu:
HT-GSOM: Dynamic Self-organizing Map with Transience for Human Activity Recognition. INDIN 2019: 270-273 - [c70]Tharindu R. Bandaragoda, Daswin De Silva, Denis Kleyko, Evgeny Osipov, Urban Wiklund, Damminda Alahakoon:
Trajectory clustering of road traffic in urban environments using incremental machine learning in combination with hyperdimensional computing. ITSC 2019: 1664-1670 - [i3]Prabod Rathnayaka, Supun Abeysinghe, Chamod Samarajeewa, Isura Manchanayake, Malaka J. Walpola, Rashmika Nawaratne, Tharindu R. Bandaragoda, Damminda Alahakoon:
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs. CoRR abs/1907.07653 (2019) - 2018
- [j25]Daswin De Silva, Susan E. Bedingfield, Damminda Alahakoon:
Preface to the Special Section on Recent Advances in Social Media. Australas. J. Inf. Syst. 22 (2018) - [j24]Yujie Wang, Damminda Alahakoon, Daswin De Silva:
An Extended Cognitive Situation Model for Capturing Subjective Dynamics of Events from Social Media. Australas. J. Inf. Syst. 22 (2018) - [j23]Su Nguyen, Mengjie Zhang, Damminda Alahakoon, Kay Chen Tan:
Visualizing the Evolution of Computer Programs for Genetic Programming [Research Frontier]. IEEE Comput. Intell. Mag. 13(4): 77-94 (2018) - [j22]Rashmika Nawaratne, Damminda Alahakoon, Daswin De Silva, Prem Chhetri, Naveen K. Chilamkurti:
Self-evolving intelligent algorithms for facilitating data interoperability in IoT environments. Future Gener. Comput. Syst. 86: 421-432 (2018) - [j21]Tharindu Rukshan Bandaragoda, Daswin De Silva, Damminda Alahakoon, Weranja Ranasinghe, Damien Bolton:
Text Mining for Personalized Knowledge Extraction From Online Support Groups. J. Assoc. Inf. Sci. Technol. 69(12): 1446-1459 (2018) - [c69]Su Nguyen, Dhananjay R. Thiruvady, Andreas T. Ernst, Damminda Alahakoon:
Genetic programming approach to learning multi-pass heuristics for resource constrained job scheduling. GECCO 2018: 1167-1174 - [c68]Madhura Jayaratne, Damminda Alahakoon, Daswin De Silva, Xinghuo Yu:
Bio-Inspired Multisensory Fusion for Autonomous Robots. IECON 2018: 3090-3095 - [c67]Dinithi Nallaperuma, Daswin De Silva, Damminda Alahakoon, Xinghuo Yu:
Intelligent Detection of Driver Behavior Changes for Effective Coordination Between Autonomous and Human Driven Vehicles. IECON 2018: 3120-3125 - [i2]Tharindu Rukshan Bandaragoda, Daswin De Silva, Damminda Alahakoon:
Automatic event detection in microblogs using incremental machine learning. CoRR abs/1811.05757 (2018) - [i1]Supun Abeysinghe, Isura Manchanayake, Chamod Samarajeewa, Prabod Rathnayaka, Malaka J. Walpola, Rashmika Nawaratne, Tharindu R. Bandaragoda, Damminda Alahakoon:
Enhancing Decision Making Capacity in Tourism Domain Using Social Media Analytics. CoRR abs/1812.08330 (2018) - 2017
- [j20]Nilupulee Nathawitharana, Qing Huang, Kok-Leong Ong, Peter Vitartas, Madhura Jayaratne, Damminda Alahakoon, Sarah Midford, Aleks Michalewicz, Gillian Sullivan Mort, Tanvir Ahmed:
Towards Next Generation Rubrics: An Automated Assignment Feedback System. Australas. J. Inf. Syst. 21 (2017) - [j19]Tharindu R. Bandaragoda, Daswin De Silva, Damminda Alahakoon:
Automatic event detection in microblogs using incremental machine learning. J. Assoc. Inf. Sci. Technol. 68(10): 2394-2411 (2017) - [c66]Dinithi Nallaperuma, Daswin De Silva, Damminda Alahakoon, Xinghuo Yu:
A cognitive data stream mining technique for context-aware IoT systems. IECON 2017: 4777-4782 - [c65]Rashmika Nawaratne, Tharindu R. Bandaragoda, Achini Adikari, Damminda Alahakoon, Daswin De Silva, Xinghuo Yu:
Incremental knowledge acquisition and self-learning for autonomous video surveillance. IECON 2017: 4790-4795 - [c64]Madhura Jayaratne, Damminda Alahakoon, Daswin De Silva, Xinghuo Yu:
Apache spark based distributed self-organizing map algorithm for sensor data analysis. IECON 2017: 8343-8349 - [c63]Wei Peng, Peter Sokolowski, Ragini Patel, Xinghuo Yu, Damminda Alahakoon:
A multi-agent simulation framework for distributed generation with battery storage. ISIE 2017: 37-42 - [e1]Wei Peng, Damminda Alahakoon, Xiaodong Li:
AI 2017: Advances in Artificial Intelligence - 30th Australasian Joint Conference, Melbourne, VIC, Australia, August 19-20, 2017, Proceedings. Lecture Notes in Computer Science 10400, Springer 2017, ISBN 978-3-319-63003-8 [contents] - 2016
- [j18]Damminda Alahakoon, Xinghuo Yu:
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey. IEEE Trans. Ind. Informatics 12(1): 425-436 (2016) - [c62]Daswin De Silva, Damminda Alahakoon, Xinghuo Yu:
A data fusion technique for smart home energy management and analysis. IECON 2016: 4594-4600 - [c61]Nilupulee Nathawitharana, Damminda Alahakoon, Daswin De Silva:
Using semantic relatedness measures with dynamic self-organizing maps for improved text clustering. IJCNN 2016: 2662-2671 - 2015
- [j17]Nilupulee Nathawitharana, Damminda Alahakoon, Sumith Matharage:
Improving the Decision Value of Hierarchical Text Clustering Using Term Overlap Detection. Australas. J. Inf. Syst. 19 (2015) - [j16]Kok-Leong Ong, Damminda Alahakoon, Graeme G. Shanks:
Business Analytics Editorial. Australas. J. Inf. Syst. 19 (2015) - [c60]Qing Huang, Kok-Leong Ong, Damminda Alahakoon:
Improving Bridge Deterioration Modelling Using Rainfall Data from the Bureau of Meteorology. AusDM 2015: 161-167 - [c59]Thilina Rathnayake, Maheshakya Wijewardena, Thimal Kempitiya, Kevin Rathnasekara, Thushan Ganegedara, Amal Shehan Perera, Damminda Alahakoon:
Investigation of Node Deletion Techniques for Clustering Applications of Growing Self Organizing Maps. IDA 2015: 229-240 - [c58]Maheshakya Wijewardena, Thimal Kempitiya, Thilina Rathnayake, Kevin Rathnasekara, Thushan Ganegedara, Amal Shehan Perera, Damminda Alahakoon:
Heterogeneous data fusion with multiple kernel growing self organizing maps. SCAI 2015: 167-176 - 2014
- [c57]Kasun Gunawardana, Jayantha Rajapakse, Damminda Alahakoon:
Improving Quantization Quality in Brain-Inspired Self-organization for Non-stationary Data Spaces. ICONIP (1) 2014: 519-526 - [c56]Manjusri Ishwara, Jayantha Rajapakse, Damminda Alahakoon:
A Novel Architecture for Capturing Discrete Sequences Using Self-organizing Maps. ICONIP (1) 2014: 551-558 - [c55]K. M. T. V. Ganegedara, Lasindu C. Vidana Pathiranage, U. A. R. Ruwan Gunarathna, Buddhima S. Wijeweera, Amal Shehan Perera, Damminda Alahakoon:
Extending dynamic SOMs to capture incremental changes in data. IJCNN 2014: 1231-1238 - [p4]Yee Ling Boo, Damminda Alahakoon:
Building Multi-modal Crime Profiles with Growing Self Organising Maps. Computational Intelligence in Digital Forensics 2014: 97-124 - 2013
- [c54]Ting Wang, Xinghuo Yu, Damminda Alahakoon, Shumin Fei:
An enhancing dynamic self-organizing map for data clustering. ICCA 2013: 1324-1329 - [c53]Upuli Gunasinghe, Damminda Alahakoon:
The adaptive suffix tree: A space efficient sequence learning algorithm. IJCNN 2013: 1-8 - [c52]Kasun Gunawardana, Jayantha Rajapakse, Damminda Alahakoon:
Brain-inspired self-organizing model for incremental learning. IJCNN 2013: 1-8 - [c51]Sumith Matharage, Hiran Ganegedara, Damminda Alahakoon:
A scalable and dynamic self-organizing map for clustering large volumes of text data. IJCNN 2013: 1-8 - 2012
- [c50]Manjusri Wickramasinghe, Jayantha Rajapakse, Damminda Alahakoon:
Understanding Individual Play Sequences Using Growing Self Organizing Maps. ICONIP (1) 2012: 48-55 - [c49]Hiran Ganegedara, Damminda Alahakoon:
Redundancy reduction in self-organising map merging for scalable data clustering. IJCNN 2012: 1-8 - [c48]Hiran Ganegedara, Damminda Alahakoon, John Mashford, Andrew P. Paplinski, Karsten Müller, Thomas Martin Deserno:
Self organising map based region of interest labelling for automated defect identification in large sewer pipe image collections. IJCNN 2012: 1-8 - [c47]Upuli Gunasinghe, Damminda Alahakoon:
Sequence learning using the adaptive suffix trie algorithm. IJCNN 2012: 1-8 - [c46]Upuli Gunasinghe, Sumith Matharage, Damminda Alahakoon:
A sequence based dynamic SOM model for text clustering. IJCNN 2012: 1-8 - [c45]Manjusri Wickramasinghe, Jayantha Rajapakse, Damminda Alahakoon:
Investigating Individual Decision Making Patterns in Games Using Growing Self Organizing Maps. PRICAI 2012: 826-831 - 2011
- [j15]Daswin De Silva, Daswin Yu, Damminda Alahakoon, Grahame Holmes:
A Data Mining Framework for Electricity Consumption Analysis From Meter Data. IEEE Trans. Ind. Informatics 7(3): 399-407 (2011) - [c44]Kumari Wickramasinghe, Damminda Alahakoon, Peter Schattner, Michael P. Georgeff:
Self-Organizing Maps for Translating Health Care Knowledge: A Case Study in Diabetes Management. Australasian Conference on Artificial Intelligence 2011: 162-171 - [c43]Asanka Fonseka, Damminda Alahakoon, Susan E. Bedingfield:
GSOM sequence: An unsupervised dynamic approach for knowledge discovery in temporal data. CIDM 2011: 232-238 - [c42]Sumith Matharage, Oshadi Alahakoon, Damminda Alahakoon, S. Kapurubandara, R. Nayyar, M. Mukherji, U. Jagadish, S. Yim, I. Alahakoon:
Analysing Stillbirth Data Using Dynamic Self Organizing Maps. DEXA Workshops 2011: 86-90 - [c41]Yee Ling Boo, Damminda Alahakoon:
Identifying multi-view patterns with hierarchy and granularity based multimodal (HGM) cogntive model. GrC 2011: 71-76 - [c40]Hiran Ganegedara, Damminda Alahakoon:
Scalable Data Clustering: A Sammon's Projection Based Technique for Merging GSOMs. ICONIP (2) 2011: 193-202 - [c39]Sumith Matharage, Damminda Alahakoon, Jayantha Rajapakse, Pin Huang:
Fast Growing Self Organizing Map for Text Clustering. ICONIP (2) 2011: 406-415 - [c38]Asanka Fonseka, Damminda Alahakoon, Jayantha Rajapakse:
A Dynamic Unsupervised Laterally Connected Neural Network Architecture for Integrative Pattern Discovery. ICONIP (2) 2011: 761-770 - [c37]Yee Ling Boo, Damminda Alahakoon:
Clusters driven implementation of a brain inspired model for multi-view pattern identifications. ISDA 2011: 551-556 - 2010
- [j14]Norashikin Ahmad, Damminda Alahakoon, Rowena Chau:
Cluster identification and separation in the growing self-organizing map: application in protein sequence classification. Neural Comput. Appl. 19(4): 531-542 (2010) - [c36]Daswin De Silva, Damminda Alahakoon:
Incremental knowledge acquisition and self learning from text. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [p3]Toby Smith, Damminda Alahakoon:
Growing Self-Organizing Map for Online Continuous Clustering. Foundations of Computational Intelligence (4) 2009: 49-83 - [p2]Daswin De Silva, Damminda Alahakoon, Shyamali Dharmage:
Extensions to Knowledge Acquisition and Effect of Multimodal Representation in Unsupervised Learning. Foundations of Computational Intelligence (1) 2009: 281-305 - 2008
- [j13]Sohail Asghar, Damminda Alahakoon, Leonid Churilov:
A modular subroutine selection process in disaster management based on a needs classification scheme. Int. J. Internet Enterp. Manag. 5(3): 212-236 (2008) - [j12]Sohail Asghar, Damminda Alahakoon, Leonid Churilov:
Categorization of Disaster Decision Support Needs for the Development of an Integrated Model for Dmdss. Int. J. Inf. Technol. Decis. Mak. 7(1): 115-145 (2008) - [c35]Yee Ling Boo, Damminda Alahakoon:
Mining Multi-modal Crime Patterns at Different Levels of Granularity Using Hierarchical Clustering. CIMCA/IAWTIC/ISE 2008: 1268-1273 - 2007
- [j11]Prasanna Lokuge, Damminda Alahakoon:
Improving the adaptability in automated vessel scheduling in container ports using intelligent software agents. Eur. J. Oper. Res. 177(3): 1985-2015 (2007) - [j10]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon, Kate Smith-Miles:
A novel Episodic Associative Memory model for enhanced classification accuracy. Pattern Recognit. Lett. 28(10): 1193-1202 (2007) - [c34]Zoe Yan Zhuang, Rasika Amarasiri, Leonid Churilov, Damminda Alahakoon, Ken Sikaris:
Exploring the Clinical Notes of Pathology Ordering by Australian General Practitioners: a text mining perspective. HICSS 2007: 136 - 2006
- [j9]Prasanna Lokuge, Damminda Alahakoon:
An extended agent model embedded with "intelligent-deliberation" for improved performances in a container terminal application. Web Intell. Agent Syst. 4(4): 385-405 (2006) - [c33]Yaohua Yu, Damminda Alahakoon:
Batch implementation of Growing Self-Organizing Map. CIMCA/IAWTIC 2006: 162 - [c32]Rasika Amarasiri, Damminda Alahakoon, Kate Smith-Miles:
Clustering Massive High Dimensional Data with Dynamic Feature Maps. ICONIP (2) 2006: 814-823 - [c31]Prasanna Lokuge, Damminda Alahakoon:
Intelligent Agents with Reinforcement Learning and Fuzzy logic for Intention commitment Modeling. ISDA (2) 2006: 899-904 - 2005
- [j8]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon:
Dynamic self organizing maps for discovery and sharing of knowledge in multi agent systems. Web Intell. Agent Syst. 3(1): 31-47 (2005) - [c30]Prasanna Lokuge, Damminda Alahakoon:
Reinforcement Learning in Neuro BDI Agents for Achieving Agent's Intentions in Vessel Berthing Applications. AINA 2005: 681-686 - [c29]Shan Chen, Damminda Alahakoon, Maria Indrawan:
Building an Adaptive Hierarchy of Clusters for Text Data. CIMCA/IAWTIC 2005: 7-12 - [c28]Shan Chen, Damminda Alahakoon, Maria Indrawan:
Background Knowledge Driven Ontology Discovery. EEE 2005: 202-207 - [c27]Prasanna Lokuge, Damminda Alahakoon:
An Extended BDI Agent Architecture with Multiple Intention Reconsideration Ability in a Vessel Berthing Application. FLAIRS 2005: 333-338 - [c26]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon, Kate A. Smith:
Computation of Meta-Learning Classifiers in Distributed Data Mining using a Novel Cognitive Memory Model. IAT 2005: 180-186 - [c25]Prasanna Lokuge, Damminda Alahakoon:
Handling Multiple Events in Hybrid BDI Agents with Reinforcement Learning: A Container Application. ICEIS (2) 2005: 83-90 - [c24]Rasika Amarasiri, Jason Ceddia, Damminda Alahakoon:
Exploratory data mining lead by text mining using a novel high dimensional clustering algorithm. ICMLA 2005 - [c23]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon:
Representation of Procedural Knowledge of an Intelligent Agent Using a Novel Cognitive Memory Model. KES (1) 2005: 714-721 - [c22]Prasanna Lokuge, Damminda Alahakoon:
Shared Learning Vector Quantization in a New Agent Architecture for Intelligent Deliberation. KES (2) 2005: 806-813 - [c21]Rasika Amarasiri, Damminda Alahakoon, Kate A. Smith, Malin Premaratne:
HDGSOMr: A High Dimensional Growing Self-Organizing Map Using Randomness for Efficient Web and Text Mining. Web Intelligence 2005: 215-221 - [p1]Damminda Alahakoon:
Monitoring Shift and Movement in Data using Dynamic Feature Maps. Classification and Clustering for Knowledge Discovery 2005: 29-41 - 2004
- [j7]Leelani Kumari Wickramasinghe, Rasika Amarasiri, L. Damminda Alahakoon:
A Hybrid Intelligent Multiagent System for E-Business. Comput. Intell. 20(4): 603-623 (2004) - [j6]Damminda Alahakoon, Ajith Abraham, Lakhmi C. Jain:
Special issue on 'Neural networks for enhanced intelligence'. Neural Comput. Appl. 13(2): 99-100 (2004) - [j5]Rasika Amarasiri, Damminda Alahakoon:
Building a cluster of intelligent, adaptive web sites. Neural Comput. Appl. 13(2): 149-156 (2004) - [j4]Damminda Alahakoon:
Controlling the spread of dynamic self-organising maps. Neural Comput. Appl. 13(2): 168-174 (2004) - [j3]Sohail Asghar, Damminda Alahakoon, Arthur L. Hsu:
Enhancing OLAP functionality using neural networks. Neural Parallel Sci. Comput. 12(1): 1-20 (2004) - [j2]Clifton Phua, Damminda Alahakoon, Vincent C. S. Lee:
Minority report in fraud detection: classification of skewed data. SIGKDD Explor. 6(1): 50-59 (2004) - [c20]Prasanna Lokuge, Damminda Alahakoon, Parakrama Dissanayake:
Collaborative Neuro-BDI Agents in Container Terminals. AINA (2) 2004: 155-159 - [c19]Prasanna Lokuge, Damminda Alahakoon:
Hybrid BDI Agents with ANFIS in Identifying Goal Success Factor in a Container Terminal Application. AAMAS 2004: 1222-1223 - [c18]Prasanna Lokuge, Damminda Alahakoon:
A Motivation Based Behavior in Hybrid Intelligent Agents for Intention Reconsideration Process in Vessel Berthing Applications. HIS 2004: 124-129 - [c17]Leelani Kumari Wickramasinghe, L. Damminda Alahakoon:
A Novel Adaptive Decision Making Agent Architecture Inspired by Human Behavior and Brain Study Models. HIS 2004: 142-147 - [c16]Rasika Amarasiri, L. Damminda Alahakoon, Kate A. Smith:
HDGSOM: A Modified Growing Self-Organizing Map for High Dimensional Data Clustering. HIS 2004: 216-221 - [c15]Sohail Asghar, Damminda Alahakoon, Leonid Churilov:
A Hybrid Decision Support System Model for Disaster Management. HIS 2004: 372-377 - [c14]Prasanna Lokuge, Damminda Alahakoon:
Hybrid BDI Agents with Improved Learning Capabilities for Adaptive Planning in a Container Terminal Application. IAT 2004: 120-126 - [c13]Leelani Kumari Wickramasinghe, Damminda Alahakoon:
Adaptive Agent Architecture Inspired by Human Behavior. IAT 2004: 450-453 - [c12]Prasanna Lokuge, Damminda Alahakoon, Parakrama Dissanayake:
BDI Agents with Fuzzy Associative Memory for Vessel Berthing in Container Ports. ICEIS (2) 2004: 315-320 - [c11]Prasanna Lokuge, Damminda Alahakoon:
BDI Agents Using Neural Network and Adaptive Neuro Fuzzy Inference for Intelligent Planning in Container Terminals. ICONIP 2004: 941-946 - 2003
- [c10]Leelani Kumari Wickramasinghe, Seng Wai Loke, Arkady B. Zaslavsky, Damminda Alahakoon:
A-GATE: A System of Relay and Translation Gateways for Communication among Heterogeneous Agents in Ad Hoc Wireless Environments. DAIS 2003: 212-223 - [c9]Sohail Asghar, Damminda Alahakoon:
A Hybrid Neural Network Based DBMS System for Enhanced Functionality. HIS 2003: 643-651 - [c8]Rasika Amarasiri, Damminda Alahakoon:
Applying Dynamic Self Organizing Maps for Identifying Changes in Data Sequences. HIS 2003: 682-691 - [c7]Leelani Kumari Wickramasinghe, Damminda Alahakoon:
Discovery and Sharing of Knowledge with Self-Organized Agents. IAT 2003: 126-132 - [c6]Xiaozhe Wang, Damminda Alahakoon, Kate A. Smith:
Improved Web Searching through Neural Network Based Index Generation. International Conference on Computational Science 2003: 151-158 - 2002
- [c5]Oshadi Alahakoon, Damminda Alahakoon:
A Framework for a Data Movement Monitoring agent using Dynamic Feature Maps. FSKD 2002: 641-645 - [c4]D. M. G. Preethichandra, Arthur L. Hsu, Damminda Alahakoon, Saman K. Halgamuge:
A Modified Dynamic Self-Organizing Map Algorithm for Efficient Hardware Implementation. FSKD 2002: 646-650 - 2000
- [j1]Damminda Alahakoon, Saman K. Halgamuge, Bala Srinivasan:
Dynamic self-organizing maps with controlled growth for knowledge discovery. IEEE Trans. Neural Networks Learn. Syst. 11(3): 601-614 (2000)
1990 – 1999
- 1999
- [c3]L. Damminda Alahakoon, Saman K. Halgamuge, B. Srinivasan:
A self generating neural architecture for data analysis. IJCNN 1999: 3548-3551 - 1998
- [c2]Damminda Alahakoon, Saman K. Halgamuge, Bala Srinivasan:
A Structure Adapting Feature Map for Optimal Cluster Representation. ICONIP 1998: 809-812 - [c1]Damminda Alahakoon, Saman K. Halgamuge, B. Srinivasan:
A self-growing cluster development approach to data mining. SMC 1998: 2901-2906
Coauthor Index
aka: Tharindu Rukshan Bandaragoda
aka: Kumari Wickramasinghe
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:15 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint