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ORCIDSaman K. Halgamuge
Saman Kumara Halgamuge
Person information
- affiliation: University of Melbourne, Department of Mechanical Engineering, VIC, Australia
- affiliation: Australian National University, Research School of Engineering, Canberra, ACT, Australia
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2020 – today
- 2024
[j73]Nanduni I. Nimalsiri
, Elizabeth L. Ratnam, David Smith, Chathurika P. Mediwaththe, Saman K. Halgamuge:
A Distributed Coordination Approach for the Charge and Discharge of Electric Vehicles in Unbalanced Distribution Grids. IEEE Trans. Ind. Informatics 20(3): 3551-3562 (2024)- [j72]Amanda Jayanetti, Saman K. Halgamuge, Rajkumar Buyya:
Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers. IEEE Trans. Parallel Distributed Syst. 35(4): 604-615 (2024) - [c60]Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge:
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. AAAI 2024: 5994-6002 - [c59]Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge:
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. AAAI 2024: 14776-14784 - [c58]Rashindrie Perera, Saman K. Halgamuge:
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning. CVPR 2024: 23794-23804 - [i17]Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge:
When To Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. CoRR abs/2401.03104 (2024) - [i16]Maneesha Perera, Julian de Hoog, Kasun Bandara, Damith A. Senanayake, Saman K. Halgamuge:
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data. CoRR abs/2403.01653 (2024) - [i15]Rashindrie Perera, Saman K. Halgamuge:
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning. CoRR abs/2403.04492 (2024) - [i14]Ken Chen, Sachith Seneviratne, Wei Wang, Dongting Hu, Sanjay Saha, Md. Tarek Hasan, Sanka Rasnayaka, Tamasha Malepathirana, Mingming Gong, Saman K. Halgamuge:
AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models. CoRR abs/2406.13272 (2024) - [i13]Amanda Jayanetti, Saman K. Halgamuge, Rajkumar Buyya:
A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments. CoRR abs/2408.02926 (2024) - [i12]Amanda Jayanetti, Saman K. Halgamuge, Rajkumar Buyya:
Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions. CoRR abs/2408.02938 (2024) - [i11]Nisal Ranasinghe, Yu Xia, Sachith Seneviratne, Saman K. Halgamuge:
GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks. CoRR abs/2408.14780 (2024) - 2023
- [j71]Nicholas Davey, Nicolas Langrené, Wen Chen, Jonathan R. Rhodes, Simon Dunstall, Saman K. Halgamuge:
Designing higher value roads to preserve species at risk by optimally controlling traffic flow. Ann. Oper. Res. 320(2): 663-693 (2023) - [c57]Upeka Premaratne, Saman K. Halgamuge:
The Achilles Heel of Artificial Intelligence. ACIIDS (Companion) 2023: 387-398 - [c56]Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge:
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning. ICCV 2023: 11640-11650 - [c55]Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman K. Halgamuge:
Undercover Deepfakes: Detecting Fake Segments in Videos. ICCV (Workshops) 2023: 415-425 - [i10]Sanjay Saha, Rashindrie Perera, Sachith Seneviratne, Tamasha Malepathirana, Sanka Rasnayaka, Deshani Geethika, Terence Sim, Saman K. Halgamuge:
Undercover Deepfakes: Detecting Fake Segments in Videos. CoRR abs/2305.06564 (2023) - [i9]Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge:
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning. CoRR abs/2308.09297 (2023) - [i8]Nisal Ranasinghe, Damith A. Senanayake, Sachith Seneviratne, Malin Premaratne, Saman K. Halgamuge:
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. CoRR abs/2312.10913 (2023) - 2022
- [j70]Tamasha Malepathirana, Damith A. Senanayake, Rajith Vidanaarachchi, Vini Gautam, Saman K. Halgamuge:
Dimensionality reduction for visualizing high-dimensional biological data. Biosyst. 220: 104749 (2022) - [j69]Maneesha Perera, Julian de Hoog, Kasun Bandara, Saman K. Halgamuge:
Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations. Expert Syst. Appl. 205: 117690 (2022) - [j68]Amanda Jayanetti, Saman K. Halgamuge, Rajkumar Buyya:
Deep reinforcement learning for energy and time optimized scheduling of precedence-constrained tasks in edge-cloud computing environments. Future Gener. Comput. Syst. 137: 14-30 (2022) - [j67]Nanduni I. Nimalsiri, Elizabeth L. Ratnam, David B. Smith, Chathurika P. Mediwaththe, Saman K. Halgamuge:
Coordinated Charge and Discharge Scheduling of Electric Vehicles for Load Curve Shaping. IEEE Trans. Intell. Transp. Syst. 23(7): 7653-7665 (2022) - [i7]Maneesha Perera, Julian de Hoog, Kasun Bandara, Saman K. Halgamuge:
Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast Combinations. CoRR abs/2206.10795 (2022) - [i6]Nisal Ranasinghe, A. Ramanan, S. Fernando, Pathima Nusrath Hameed, Damayanthi Herath, Tamasha Malepathirana, Ponnuthurai N. Suganthan, M. Niranjan, Saman K. Halgamuge:
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications. CoRR abs/2211.16699 (2022) - 2021
- [j66]Yahui Sun, Xiaokui Xiao, Bin Cui, Saman K. Halgamuge, Theodoros Lappas, Jun Luo:
Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. Proc. VLDB Endow. 14(7): 1137-1149 (2021) - [j65]Damith A. Senanayake, Wei Wang, Shalin H. Naik, Saman K. Halgamuge:
Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4588-4602 (2021) - [j64]Pingping Tang, Yuning Dong, Yin Chen, Shiwen Mao, Saman K. Halgamuge:
QoE-Aware Traffic Aggregation Using Preference Logic for Edge Intelligence. IEEE Trans. Wirel. Commun. 20(9): 6093-6106 (2021) - [c54]Tamasha Malepathirana, Damith A. Senanayake, Vini Gautam, Saman K. Halgamuge:
Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data. CIBCB 2021: 1-9 - 2020
- [j63]Upeka Premaratne, Saman K. Halgamuge, Ying Tan, Iven M. Y. Mareels:
Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems. IEEE Trans. Control. Netw. Syst. 7(2): 758-769 (2020) - [j62]Bin Cao, Jianwei Zhao, Zhihan Lv, Yu Gu, Peng Yang, Saman K. Halgamuge:
Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction. IEEE Trans. Fuzzy Syst. 28(5): 939-952 (2020) - [j61]Nanduni I. Nimalsiri, Chathurika P. Mediwaththe, Elizabeth L. Ratnam, Marnie E. Shaw, David B. Smith, Saman K. Halgamuge:
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid. IEEE Trans. Intell. Transp. Syst. 21(11): 4497-4515 (2020) - [j60]Yahui Sun, Daniel Rehfeldt, Marcus Brazil, Doreen A. Thomas, Saman K. Halgamuge:
A Physarum-Inspired Algorithm for Minimum-Cost Relay Node Placement in Wireless Sensor Networks. IEEE/ACM Trans. Netw. 28(2): 681-694 (2020) - [c53]Nanduni I. Nimalsiri, David Smith, Elizabeth L. Ratnam, Chathurika P. Mediwaththe, Saman K. Halgamuge:
A Decentralized Electric Vehicle Charge Scheduling Scheme for Tracking Power Profiles. ISGT 2020: 1-5 - [i5]Chathurika P. Mediwaththe, Marnie E. Shaw, Saman K. Halgamuge, David B. Smith, Paul Scott:
An Incentive-compatible Energy Trading Framework for Neighborhood Area Networks with Shared Energy Storage. CoRR abs/2008.10384 (2020)
2010 – 2019
- 2019
- [j59]Yahui Sun, Saman K. Halgamuge:
Minimum-Cost Heterogeneous Node Placement in Wireless Sensor Networks. IEEE Access 7: 14847-14858 (2019) - [j58]Duleepa Jayasundara, Damayanthi Herath, Damith A. Senanayake, Isaam Saeed, Cheng-Yu Yang, Yuan Sun, Bill C. Chang, Sen-Lin Tang, Saman K. Halgamuge:
ENVirT: inference of ecological characteristics of viruses from metagenomic data. BMC Bioinform. 19-S(13): 377:1-377:12 (2019) - [j57]Yahui Sun, Marcus Brazil, Doreen A. Thomas, Saman K. Halgamuge:
The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks. IEEE/ACM Trans. Netw. 27(1): 375-388 (2019) - [c52]Yong-Wei Zhang, Saman K. Halgamuge:
Similarity of Continuous Optimization Problems from the Algorithm Performance Perspective. CEC 2019: 2949-2957 - [c51]Ying Ying Beh, David Ripper, Shyam Shiv Kumar, Hou Nam U, Hansani Weeratunge, Guillermo Narsilio, Saman K. Halgamuge, Julian de Hoog, Ramachandra Rao Kolluri:
Experimental Platform for Measuring the Impacts of Different Charging Strategies on Battery Degradation. e-Energy 2019: 367-369 - [c50]Rajith Vidanaarachchi, Marnie E. Shaw, Saman K. Halgamuge:
Exploring Computational Inference of Microbial Interactions and their Dynamics. ICIIS 2019: 28-33 - [c49]Wei Wang, Yuan Sun, Saman K. Halgamuge:
Improving MMD-GAN Training with Repulsive Loss Function. ICLR (Poster) 2019 - [i4]Yahui Sun, Marcus Brazil, Doreen A. Thomas, Saman K. Halgamuge:
The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks. CoRR abs/1902.01939 (2019) - [i3]Nanduni I. Nimalsiri, Chathurika P. Mediwaththe, Elizabeth L. Ratnam, Marnie E. Shaw, David B. Smith, Saman K. Halgamuge:
A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid. CoRR abs/1911.06500 (2019) - [i2]Damith A. Senanayake, Wei Wang, Shalin H. Naik, Saman K. Halgamuge:
Self Organizing Nebulous Growths for Robust and Incremental Data Visualization. CoRR abs/1912.04896 (2019) - 2018
- [j56]Pathima Nusrath Hameed, Karin Verspoor, Snezana Kusljic, Saman K. Halgamuge:
A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration. BMC Bioinform. 19(1): 129:1-129:18 (2018) - [j55]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
A Recursive Decomposition Method for Large Scale Continuous Optimization. IEEE Trans. Evol. Comput. 22(5): 647-661 (2018) - [j54]Wei Wang, David C. Ackland, Jodie A. McClelland, Kate E. Webster, Saman K. Halgamuge:
Assessment of Gait Characteristics in Total Knee Arthroplasty Patients Using a Hierarchical Partial Least Squares Method. IEEE J. Biomed. Health Informatics 22(1): 205-214 (2018) - [j53]Khalid Abdulla, Julian de Hoog, Valentin Müenzel, Frank Suits, Kent Charles Barton Steer, Andrew Wirth, Saman K. Halgamuge:
Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation. IEEE Trans. Smart Grid 9(3): 2086-2096 (2018) - [i1]Wei Wang, Yuan Sun, Saman K. Halgamuge:
Improving MMD-GAN Training with Repulsive Loss Function. CoRR abs/1812.09916 (2018) - 2017
- [j52]Pathima Nusrath Hameed, Karin Verspoor, Snezana Kusljic, Saman K. Halgamuge:
Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes. BMC Bioinform. 18(1): 140:1-140:15 (2017) - [j51]Yahui Sun, Chenkai Ma, Saman K. Halgamuge:
The node-weighted Steiner tree approach to identify elements of cancer-related signaling pathways. BMC Bioinform. 18(16): 53-65 (2017) - [j50]Damayanthi Herath, Sen-Lin Tang, Kshitij Tandon, David C. Ackland, Saman Kumara Halgamuge:
CoMet: a workflow using contig coverage and composition for binning a metagenomic sample with high precision. BMC Bioinform. 18(16): 161-172 (2017) - [j49]Upeka Premaratne, Saman K. Halgamuge, Iven M. Y. Mareels:
Traffic Reduction in Packet Switched Networked Control Systems Using Deadband Error Modulation. IEEE Trans. Autom. Control. 62(8): 4038-4043 (2017) - [j48]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
Quantifying Variable Interactions in Continuous Optimization Problems. IEEE Trans. Evol. Comput. 21(2): 249-264 (2017) - [c48]Yuan Sun, Michael Kirley, Saman K. Halgamuge:
A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. ACALCI 2017: 291-300 - 2016
- [j47]Yahui Sun, Pathima Nusrath Hameed, Karin Verspoor, Saman K. Halgamuge:
A physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioning. BMC Syst. Biol. 10(S-5): 25-38 (2016) - [c47]Yahui Sun, Saman K. Halgamuge:
Fast algorithms inspired by Physarum polycephalum for node weighted steiner tree problem with multiple terminals. CEC 2016: 3254-3260 - [c46]G. Dulini C. Mendis, Emma Morrisroe, Christopher A. Reid, Saman K. Halgamuge, Steven Petrou:
Use of local field potentials of dissociated cultures grown on multi-electrode arrays for pharmacological assays. EMBC 2016: 952-956 - [c45]Khalid Abdulla, Kent C. B. Steer, Andrew Wirth, Julian de Hoog, Saman K. Halgamuge:
Integrating Data-Driven Forecasting and Optimization to Improve the Operation of Distributed Energy Storage. HPCC/SmartCity/DSS 2016: 1365-1372 - 2015
- [j46]Duleepa Jayasundara, Isaam Saeed, Suhinthan Maheswararajah, Bill C. Chang, Sen-Lin Tang, Saman K. Halgamuge:
ViQuaS: an improved reconstruction pipeline for viral quasispecies spectra generated by next-generation sequencing. Bioinform. 31(6): 886-896 (2015) - [j45]Chalini D. Wijetunge, Isaam Saeed, Berin A. Boughton, Jeffrey M. Spraggins, Richard M. Caprioli, Antony Bacic, Ute Roessner, Saman K. Halgamuge:
EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data. Bioinform. 31(19): 3198-3206 (2015) - [j44]Duleepa Jayasundara, Isaam Saeed, Bc Chang, Sen-Lin Tang, Saman K. Halgamuge:
Accurate reconstruction of viral quasispecies spectra through improved estimation of strain richness. BMC Bioinform. 16(S18): S3 (2015) - [j43]Mario A. Muñoz, Yuan Sun, Michael Kirley, Saman K. Halgamuge:
Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges. Inf. Sci. 317: 224-245 (2015) - [j42]Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge:
Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content. IEEE Trans. Evol. Comput. 19(1): 74-87 (2015) - [j41]Ferdous Wahid, Rezaul K. Begg, Chris J. Hass, Saman K. Halgamuge, David C. Ackland:
Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features. IEEE J. Biomed. Health Informatics 19(6): 1794-1802 (2015) - [j40]Darwin Lau, Denny Oetomo, Saman K. Halgamuge:
Inverse Dynamics of Multilink Cable-Driven Manipulators With the Consideration of Joint Interaction Forces and Moments. IEEE Trans. Robotics 31(2): 479-488 (2015) - [c44]Ferdous Wahid, Rezaul K. Begg, Morgan Sangeux, Saman K. Halgamuge, David C. Ackland:
The effects of an ankle foot orthosis on cerebral palsy gait: A multiple regression analysis. EMBC 2015: 5509-5512 - [c43]Yuan Sun, Michael Kirley, Saman Kumara Halgamuge:
Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. GECCO 2015: 313-320 - [c42]Yuan Sun, Michael Kirley, Saman Kumara Halgamuge:
On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. GECCO (Companion) 2015: 1213-1216 - 2013
- [j39]Kaushalya C. Amarasinghe, Jason Li, Saman K. Halgamuge:
CoNVEX: copy number variation estimation in exome sequencing data using HMM. BMC Bioinform. 14(S-2): S2 (2013) - [j38]Kaushalya C. Amarasinghe, Jason Li, Saman K. Halgamuge:
Correction: CoNVEX: copy number variation estimation in exome sequencing data using HMM. BMC Bioinform. 14(S-2): S26 (2013) - [j37]Upeka Premaratne, Saman K. Halgamuge, Iven M. Y. Mareels:
Event Triggered Adaptive Differential Modulation: A New Method for Traffic Reduction in Networked Control Systems. IEEE Trans. Autom. Control. 58(7): 1696-1706 (2013) - [j36]Darwin Lau, Denny Oetomo, Saman K. Halgamuge:
Generalized Modeling of Multilink Cable-Driven Manipulators With Arbitrary Routing Using the Cable-Routing Matrix. IEEE Trans. Robotics 29(5): 1102-1113 (2013) - 2012
- [j35]Jason Li, Richard Lupat, Kaushalya C. Amarasinghe, Ella R. Thompson, Maria A. Doyle, Georgina L. Ryland, Richard W. Tothill, Saman K. Halgamuge, Ian G. Campbell, Kylie L. Gorringe:
CONTRA: copy number analysis for targeted resequencing. Bioinform. 28(10): 1307-1313 (2012) - [c41]Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge:
Landscape characterization of numerical optimization problems using biased scattered data. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c40]Jayantha Siriwardana, Saman K. Halgamuge:
Fast shortest path optimization inspired by shuttle streaming of Physarum polycephalum. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c39]Mario A. Muñoz, Michael Kirley, Saman K. Halgamuge:
A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems. PPSN (1) 2012: 226-235 - 2011
- [j34]Rajinda Senaratne, Budi Thomas Jap, Sara Lal, Arthur L. Hsu, Saman K. Halgamuge, Peter Fischer:
Comparing two video-based techniques for driver fatigue detection: classification versus optical flow approach. Mach. Vis. Appl. 22(4): 597-618 (2011) - [j33]Suhinthan Maheswararajah, Saman K. Halgamuge, K. B. Dassanayake, D. Chapman:
Management of Orphaned-Nodes in Wireless Sensor Networks for Smart Irrigation Systems. IEEE Trans. Signal Process. 59(10): 4909-4922 (2011) - 2010
- [j32]Sunil Adhikari, Saman K. Halgamuge, Harry C. Watson:
An Online Power-Balancing Strategy for a Parallel Hybrid Electric Vehicle Assisted by an Integrated Starter Generator. IEEE Trans. Veh. Technol. 59(6): 2689-2699 (2010) - [c38]Mario A. Muñoz, Saman K. Halgamuge, Wilfredo Alfonso, Eduardo Caicedo:
Simplifying the Bacteria Foraging Optimization Algorithm. IEEE Congress on Evolutionary Computation 2010: 1-7
2000 – 2009
- 2009
- [j31]Rajinda Senaratne, Saman K. Halgamuge, Arthur L. Hsu:
Face Recognition by Extending Elastic Bunch Graph Matching with Particle Swarm Optimization. J. Multim. 4(4): 204-214 (2009) - [j30]Waratt Rattasiri, Saman K. Halgamuge, Nalin Wickramarachchi:
Structure adaptation of hierarchical knowledge-based classifiers. Neural Comput. Appl. 18(6): 523-537 (2009) - [j29]Suhinthan Maheswararajah, Saman K. Halgamuge, Malin Premaratne:
Energy Efficient Sensor Scheduling with a Mobile Sink Node for the Target Tracking Application. Sensors 9(2): 696-716 (2009) - [j28]Suhinthan Maheswararajah, Saman K. Halgamuge, Malin Premaratne:
Sensor Scheduling for Target Tracking by Suboptimal Algorithms. IEEE Trans. Veh. Technol. 58(3): 1467-1479 (2009) - [c37]Suhinthan Maheswararajah, Siddeswara Mayura Guru, Yanfeng Shu, Saman K. Halgamuge:
Energy Adaptive Sensor Scheduling for Noisy Sensor Measurements. DCOSS 2009: 187-200 - [c36]Chon-Kit Kenneth Chan, Saman K. Halgamuge:
Investigation of Average Mutual Information for Species Separation Using GSOM. FGIT 2009: 42-49 - [p2]Kent C. B. Steer, Andrew Wirth, Saman K. Halgamuge:
The Rationale Behind Seeking Inspiration from Nature. Nature-Inspired Algorithms for Optimisation 2009: 51-76 - [p1]Arthur L. Hsu, Isaam Saeed, Saman K. Halgamuge:
Dynamic Self-Organising Maps: Theory, Methods and Applications. Foundations of Computational Intelligence (1) 2009: 363-379 - 2008
- [j27]A. K. M. A. Baten, Saman K. Halgamuge, Bill C. H. Chang:
Fast splice site detection using information content and feature reduction. BMC Bioinform. 9(S-12) (2008) - [j26]Chon-Kit Kenneth Chan, Arthur L. Hsu, Saman K. Halgamuge, Sen-Lin Tang:
Binning sequences using very sparse labels within a metagenome. BMC Bioinform. 9 (2008) - [j25]Arthur L. Hsu, Saman K. Halgamuge:
Class structure visualization with semi-supervised growing self-organizing maps. Neurocomputing 71(16-18): 3124-3130 (2008) - [j24]Ramy Saad, Saman K. Halgamuge, Jason Li:
Polynomial kernel adaptation and extensions to the SVM classifier learning. Neural Comput. Appl. 17(1): 19-25 (2008) - [j23]Waratt Rattasiri, Nalin Wickramarachchi, Saman K. Halgamuge:
Sensitivity-Based Hierarchical Controller Architectures for Active Suspension. IEEE Trans. Control. Syst. Technol. 16(1): 103-112 (2008) - [c35]Xiaofeng Song, Saman K. Halgamuge, De-zhao Chen, Shang-Xu Hu:
Support Vector Machine Integrated CCA for Classification of Complex Chemical Patterns. FGCN (3: BSBT) 2008: 21-23 - [c34]Kent C. B. Steer, Andrew Wirth, Saman K. Halgamuge:
Information Theoretic Classification of Problems for Metaheuristics. SEAL 2008: 319-328 - 2007
- [j22]A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halgamuge, Jason Li:
Correction: Splice site identification using probabilistic parameters and SVM classification. BMC Bioinform. 8 (2007) - [j21]Jason Li, Saman K. Halgamuge, Christopher I. Kells, Sen-Lin Tang:
Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages. BMC Bioinform. 8(S-4) (2007) - [j20]Alan Koncar, Holger Janßen, Saman K. Halgamuge:
Gabor wavelet similarity maps for optimising hierarchical road sign classifiers. Pattern Recognit. Lett. 28(2): 260-267 (2007) - [c33]Chon-Kit Kenneth Chan, Arthur L. Hsu, Sen-Lin Tang, Saman K. Halgamuge:
A Method for Evaluating Quality of Clustering DNA Fragments Encoded in Different Nucleotide Frequencies. FBIT 2007: 60-63 - [c32]Jason Li, Saman K. Halgamuge:
Improving Training Speed of Support Vector Machines by Creating Exploitable Trends of Lagrangian Variables: An Application to DNA Splice Site Detection. FBIT 2007: 230-233 - [c31]Siddeswara Mayura Guru, Matthias Steinbrecher, Saman K. Halgamuge, Rudolf Kruse:
Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks. GPC 2007: 89-99 - [c30]Rajinda Senaratne, David Hardy, Bill Vanderaa, Saman K. Halgamuge:
Driver Fatigue Detection by Fusing Multiple Cues. ISNN (2) 2007: 801-809 - [c29]Yu Zheng Zhai, Arthur L. Hsu, Saman K. Halgamuge:
Combining News and Technical Indicators in Daily Stock Price Trends Prediction. ISNN (3) 2007: 1087-1096 - [c28]A. K. M. A. Baten, Saman K. Halgamuge, Bill C. H. Chang, Nalin Wickramarachchi:
Biological Sequence Data Preprocessing for Classification: A Case Study in Splice Site Identification. ISNN (2) 2007: 1221-1230 - 2006
- [j19]A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halgamuge, Jason Li:
Splice site identification using probabilistic parameters and SVM classification. BMC Bioinform. 7(S-5) (2006) - [j18]Rajinda Senaratne, Saman K. Halgamuge:
Optimal Weighting of Landmarks for Face Recognition. J. Multim. 1(3): 31-41 (2006) - [c27]Champake Mendis, Siddeswara Mayura Guru, Saman K. Halgamuge, Saman Fernando:
Optimized Sink node Path using Particle Swarm Optimization. AINA (2) 2006: 388-394 - [c26]Rajinda Senaratne, Saman K. Halgamuge:
Optimised Landmark Model Matching for Face Recognition. FGR 2006: 120-125 - [c25]Yu Zheng Zhai, Arthur L. Hsu, Saman K. Halgamuge:
Scalable Dynamic Self-Organising Maps for Mining Massive Textual Data. ICONIP (3) 2006: 260-267 - [c24]Azharul Karim, Saman K. Halgamuge, A. J. R. Smith, Arthur L. Hsu:
Manufacturing Yield Improvement by Clustering. ICONIP (3) 2006: 526-534 - [c23]Arthur L. Hsu, Saman K. Halgamuge:
Semi-supervised Learning of Dynamic Self-Organising Maps. ICONIP (1) 2006: 915-924 - [c22]Suhinthan Maheswararajah, Saman K. Halgamuge:
Sensor Scheduling For Target Tracking Using Particle Swarm Optimization. VTC Spring 2006: 573-577 - 2005
- [j17]Siddeswara Mayura Guru, Arthur L. Hsu, Saman K. Halgamuge, Saman Fernando:
An Extended Growing Self-Organizing Map for Selection of Clusters in Sensor Networks. Int. J. Distributed Sens. Networks 1(2): 227-243 (2005) - [j16]Sunthiti Patchararungruang, Saman K. Halgamuge, Nirmala Shenoy:
Optimized rule-based delay proportion adjustment for proportional differentiated services. IEEE J. Sel. Areas Commun. 23(2): 261-276 (2005) - [e3]Saman K. Halgamuge, Lipo Wang:
Computational Intelligence for Modelling and Prediction. Studies in Computational Intelligence 2, Springer 2005, ISBN 978-3-540-26071-4 [contents] - [e2]Saman K. Halgamuge, Lipo Wang:
Classification and Clustering for Knowledge Discovery. Studies in Computational Intelligence 4, Springer 2005, ISBN 978-3-540-26073-8 [contents] - 2004
- [j15]Bill C. H. Chang, Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson:
Particle Swarm Optimisation for Protein Motif Discovery. Genet. Program. Evolvable Mach. 5(2): 203-214 (2004) - [j14]Ramy Saad, Saman K. Halgamuge:
Stability of hierarchical fuzzy systems generated by Neuro-Fuzzy. Soft Comput. 8(6): 409-416 (2004) - [j13]Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson:
Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients. IEEE Trans. Evol. Comput. 8(3): 240-255 (2004) - 2003
- [j12]Arthur L. Hsu, Sen-Lin Tang, Saman K. Halgamuge:
An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data. Bioinform. 19(16): 2131-2140 (2003) - [j11]Saman K. Halgamuge:
Realtime classification with structure adapting neuro-fuzzy systems. Integr. Comput. Aided Eng. 10(4): 357-367 (2003) - [j10]Bill C. H. Chang, Saman K. Halgamuge:
Approximate symbolic pattern matching for protein sequence data. Int. J. Approx. Reason. 32(2-3): 171-186 (2003) - [j9]Arthur L. Hsu, Saman K. Halgamuge:
Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualisation. Int. J. Approx. Reason. 32(2-3): 259-279 (2003) - [j8]Waratt Rattasiri, Saman K. Halgamuge:
Computationally advantageous and stable hierarchical fuzzy systems for active suspension. IEEE Trans. Ind. Electron. 50(1): 48-61 (2003) - [c21]Asanga Ratnaweera, Harry C. Watson, Saman K. Halgamuge:
Optimisation of valve timing events of internal combustion engines with particle swarm optimisation. IEEE Congress on Evolutionary Computation 2003: 2411-2418 - [c20]G. Coath, Saman K. Halgamuge:
A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems. IEEE Congress on Evolutionary Computation 2003: 2419-2425 - [c19]Kenneth Chan, N. Kansara, M. Mirbagheri, Siddeswara Mayura Guru, Saman K. Halgamuge, Saman Fernando:
Development of Hybrid Interface for Intelligent Sensor Management. HIS 2003: 820-829 - 2002
- [j7]Bill C. H. Chang, Saman K. Halgamuge:
Protein motif extraction with neuro-fuzzy optimization. Bioinform. 18(8): 1084-1090 (2002) - [c18]Ramy Saad, Saman K. Halgamuge:
Automatically tuned hybrid motion controller in the presence of mechanical non-linearities. ISIC 2002: 200-205 - [c17]Siddeswara Mayura Guru, Gavin McRae, Saman K. Halgamuge, Saman Fernando:
Cost Effective selection of Sensor Node Clusters. FSKD 2002: 259-263 - [c16]Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson:
Particle Swarm Optimization with Self-Adaptive Acceleration Coefficients. FSKD 2002: 264-268 - [c15]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 - [c14]Sunthiti Patchararungruang, Nirmala Shenoy, Saman K. Halgamuge:
Rule based delay proportion adjustment for differentiated services. FUZZ-IEEE 2002: 700-704 - [e1]Lipo Wang, Saman K. Halgamuge, Xin Yao:
FSDK'02, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, 2 Volumes, November 18-22, 2002, Orchid Country Club, Singapore. 2002, ISBN 981-04-7520-9 [contents] - 2000
- [j6]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) - [c13]Bill C. H. Chang, Saman K. Halgamuge:
Model free online adaptive feedback control with FuNe I AFC neuro-fuzzy system. FUZZ-IEEE 2000: 997-1000
1990 – 1999
- 1999
- [c12]L. Damminda Alahakoon, Saman K. Halgamuge, B. Srinivasan:
A self generating neural architecture for data analysis. IJCNN 1999: 3548-3551 - 1998
- [j5]Saman K. Halgamuge:
A trainable transparent universal approximator for defuzzification in Mamdani-type neuro-fuzzy controllers. IEEE Trans. Fuzzy Syst. 6(2): 304-314 (1998) - [c11]Damminda Alahakoon, Saman K. Halgamuge, Bala Srinivasan:
A Structure Adapting Feature Map for Optimal Cluster Representation. ICONIP 1998: 809-812 - [c10]Damminda Alahakoon, Saman K. Halgamuge, B. Srinivasan:
A self-growing cluster development approach to data mining. SMC 1998: 2901-2906 - 1997
- [j4]Saman K. Halgamuge:
Self-evolving neural networks for rule-based data processing. IEEE Trans. Signal Process. 45(11): 2766-2773 (1997) - [c9]Saman K. Halgamuge:
Rule Extraction in Real Time. ICONIP (2) 1997: 902-905 - [c8]Saman K. Halgamuge, L. Jain:
Decision Support in Smart Wheelchairs. ICONIP (2) 1997: 1334-1337 - 1996
- [b1]Saman K. Halgamuge:
Advanced methods for fusion of fuzzy systems and neural networks in intelligent data processing. Darmstadt University of Technology, Germany, VDI-Verlag 1996, ISBN 978-3-18-340110-9, pp. 1-175 - [j3]Thomas Hollstein, Saman K. Halgamuge, Manfred Glesner:
Computer-aided design of fuzzy systems based on generic VHDL specifications. IEEE Trans. Fuzzy Syst. 4(4): 403-417 (1996) - [c7]Saman K. Halgamuge:
Multiple shape basis function networks for rule based analysis of data. ANZIIS 1996: 113-116 - 1995
- [j2]Saman K. Halgamuge, Werner Pöchmüller, Manfred Glesner:
An alternative approach for generation of membership functions and fuzzy rules based on radial and cubic basis function networks. Int. J. Approx. Reason. 12(3-4): 279-298 (1995) - [j1]Saman K. Halgamuge, Manfred Glesner:
Fuzzy neural networks: between functional equivalence and applicability. Int. J. Neural Syst. 6(2): 185-196 (1995) - [c6]Saman K. Halgamuge, Christoph Grimm, Manfred Glesner:
A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems. SAC 1995: 445-449 - [c5]Saman K. Halgamuge, Alain Brichard, Manfred Glesner:
Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers. SAC 1995: 580-585 - 1994
- [c4]Thomas Hollstein, Saman K. Halgamuge, Andreas Kirschbaum, Manfred Glesner:
Rapid-Prototyping von anwendungsspezifischen Fuzzy Controllern mit Field Programmable Gate Arrays. Fuzzy Days 1994: 8-14 - [c3]Saman K. Halgamuge, Manfred Glesner:
Fuzzy neural fusion techniques for industrial applications. SAC 1994: 136-141 - 1993
- [c2]Saman K. Halgamuge, Hans-Jürgen Herpel, Manfred Glesner:
Echtzeit Fahrbahnzustandserkennung mit Fuzzy-Neuronalen Netzen. Fuzzy Days 1993: 204-211 - [c1]Saman K. Halgamuge, Werner Pöchmüller, Manfred Glesner:
A rule based prototype system for automatic classification in industrial quality control. ICNN 1993: 238-243
Coauthor Index
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