Echtzeit Fahrbahnzustandserkennung mit Fuzzy-Neuronalen Netzen. - Saman K. Halgamuge; Hans-Jürgen Herpel; Manfred Glesner (Fuzzy Days, 1993)

A rule based prototype system for automatic classification in industrial quality control. - Saman K. Halgamuge; Werner Pöchmüller; Manfred Glesner (ICNN, 1993)

Rapid-Prototyping von anwendungsspezifischen Fuzzy Controllern mit Field Programmable Gate Arrays. - Thomas Hollstein; Saman K. Halgamuge; Andreas Kirschbaum; Manfred Glesner (Fuzzy Days, 1994)

Fuzzy neural fusion techniques for industrial applications. - Saman K. Halgamuge; Manfred Glesner (SAC, 1994)

Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers. - Saman K. Halgamuge; Alain Brichard; Manfred Glesner (SAC, 1995)

A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems. - Saman K. Halgamuge; Christoph Grimm 001; Manfred Glesner (SAC, 1995)

An alternative approach for generation of membership functions and fuzzy rules based on radial and cubic basis function networks. - Saman K. Halgamuge; Werner Pöchmüller; Manfred Glesner (Int. J. Approx. Reason., 1995)

Fuzzy neural networks: between functional equivalence and applicability. - Saman K. Halgamuge; Manfred Glesner (Int. J. Neural Syst., 1995)

Multiple shape basis function networks for rule based analysis of data. - Saman K. Halgamuge (ANZIIS, 1996)

Computer-aided design of fuzzy systems based on generic VHDL specifications. - Thomas Hollstein; Saman K. Halgamuge; Manfred Glesner (IEEE Trans. Fuzzy Syst., 1996)

Advanced methods for fusion of fuzzy systems and neural networks in intelligent data processing. - Saman K. Halgamuge (VDI-Verlag, 1996)

Rule Extraction in Real Time. - Saman K. Halgamuge (ICONIP (2), 1997)

Decision Support in Smart Wheelchairs. - Saman K. Halgamuge; L. Jain (ICONIP (2), 1997)

Self-evolving neural networks for rule-based data processing. - Saman K. Halgamuge (IEEE Trans. Signal Process., 1997)

A Structure Adapting Feature Map for Optimal Cluster Representation. - Damminda Alahakoon; Saman K. Halgamuge; Bala Srinivasan 002 (ICONIP, 1998)

A self-growing cluster development approach to data mining. - Damminda Alahakoon; Saman K. Halgamuge; B. Srinivasan (SMC, 1998)

A trainable transparent universal approximator for defuzzification in Mamdani-type neuro-fuzzy controllers. - Saman K. Halgamuge (IEEE Trans. Fuzzy Syst., 1998)

A self generating neural architecture for data analysis. - L. Damminda Alahakoon; Saman K. Halgamuge; B. Srinivasan (IJCNN, 1999)

Model free online adaptive feedback control with FuNe I AFC neuro-fuzzy system. - Bill C. H. Chang; Saman K. Halgamuge (FUZZ-IEEE, 2000)

Dynamic self-organizing maps with controlled growth for knowledge discovery. - Damminda Alahakoon; Saman K. Halgamuge; Bala Srinivasan 002 (IEEE Trans. Neural Networks Learn. Syst., 2000)

Automatically tuned hybrid motion controller in the presence of mechanical non-linearities. - Ramy Saad; Saman K. Halgamuge (ISIC, 2002)

Cost Effective selection of Sensor Node Clusters. - Siddeswara Mayura Guru; Gavin McRae; Saman K. Halgamuge; Saman Fernando (FSKD, 2002)

A Modified Dynamic Self-Organizing Map Algorithm for Efficient Hardware Implementation. - D. M. G. Preethichandra; Arthur L. Hsu; Damminda Alahakoon; Saman K. Halgamuge (FSKD, 2002)

Particle Swarm Optimization with Self-Adaptive Acceleration Coefficients. - Asanga Ratnaweera; Saman K. Halgamuge; Harry C. Watson (FSKD, 2002)

Rule based delay proportion adjustment for differentiated services. - Sunthiti Patchararungruang; Nirmala Shenoy; Saman K. Halgamuge (FUZZ-IEEE, 2002)

Protein motif extraction with neuro-fuzzy optimization. - Bill C. H. Chang; Saman K. Halgamuge (Bioinform., 2002)

A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems. - G. Coath; Saman K. Halgamuge (IEEE Congress on Evolutionary Computation, 2003)

Optimisation of valve timing events of internal combustion engines with particle swarm optimisation. - Asanga Ratnaweera; Harry C. Watson; Saman K. Halgamuge (IEEE Congress on Evolutionary Computation, 2003)

Development of Hybrid Interface for Intelligent Sensor Management. - Kenneth Chan; N. Kansara; M. Mirbagheri; Siddeswara Mayura Guru; Saman K. Halgamuge; Saman Fernando (HIS, 2003)

An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data. - Arthur L. Hsu; Sen-Lin Tang; Saman K. Halgamuge (Bioinform., 2003)

Realtime classification with structure adapting neuro-fuzzy systems. - Saman K. Halgamuge (Integr. Comput. Aided Eng., 2003)

Approximate symbolic pattern matching for protein sequence data. - Bill C. H. Chang; Saman K. Halgamuge (Int. J. Approx. Reason., 2003)

Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualisation. - Arthur L. Hsu; Saman K. Halgamuge (Int. J. Approx. Reason., 2003)

Computationally advantageous and stable hierarchical fuzzy systems for active suspension. - Waratt Rattasiri; Saman K. Halgamuge (IEEE Trans. Ind. Electron., 2003)

Particle Swarm Optimisation for Protein Motif Discovery. - Bill C. H. Chang; Asanga Ratnaweera; Saman K. Halgamuge; Harry C. Watson (Genet. Program. Evolvable Mach., 2004)

Stability of hierarchical fuzzy systems generated by Neuro-Fuzzy. - Ramy Saad; Saman K. Halgamuge (Soft Comput., 2004)

Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients. - Asanga Ratnaweera; Saman K. Halgamuge; Harry C. Watson (IEEE Trans. Evol. Comput., 2004)

An Extended Growing Self-Organizing Map for Selection of Clusters in Sensor Networks. - Siddeswara Mayura Guru; Arthur L. Hsu; Saman K. Halgamuge; Saman Fernando (Int. J. Distributed Sens. Networks, 2005)

Optimized rule-based delay proportion adjustment for proportional differentiated services. - Sunthiti Patchararungruang; Saman K. Halgamuge; Nirmala Shenoy (IEEE J. Sel. Areas Commun., 2005)

Optimized Sink node Path using Particle Swarm Optimization. - Champake Mendis; Siddeswara Mayura Guru; Saman K. Halgamuge; Saman Fernando (AINA (2), 2006)

Optimised Landmark Model Matching for Face Recognition. - Rajinda Senaratne; Saman K. Halgamuge (FGR, 2006)

Semi-supervised Learning of Dynamic Self-Organising Maps. - Arthur L. Hsu; Saman K. Halgamuge (ICONIP (1), 2006)

Manufacturing Yield Improvement by Clustering. - Azharul Karim; Saman K. Halgamuge; A. J. R. Smith; Arthur L. Hsu (ICONIP (3), 2006)

Scalable Dynamic Self-Organising Maps for Mining Massive Textual Data. - Yu Zheng Zhai; Arthur L. Hsu; Saman K. Halgamuge (ICONIP (3), 2006)

Sensor Scheduling For Target Tracking Using Particle Swarm Optimization. - Suhinthan Maheswararajah; Saman K. Halgamuge (VTC Spring, 2006)

Splice site identification using probabilistic parameters and SVM classification. - A. K. M. A. Baten; Bill C. H. Chang; Saman K. Halgamuge; Jason Li 002 (BMC Bioinform., 2006)

Optimal Weighting of Landmarks for Face Recognition. - Rajinda Senaratne; Saman K. Halgamuge (J. Multim., 2006)

A Method for Evaluating Quality of Clustering DNA Fragments Encoded in Different Nucleotide Frequencies. - Chon-Kit Kenneth Chan; Arthur L. Hsu; Sen-Lin Tang; Saman K. Halgamuge (FBIT, 2007)

Improving Training Speed of Support Vector Machines by Creating Exploitable Trends of Lagrangian Variables: An Application to DNA Splice Site Detection. - Jason Li 002; Saman K. Halgamuge (FBIT, 2007)

Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks. - Siddeswara Mayura Guru; Matthias Steinbrecher; Saman K. Halgamuge; Rudolf Kruse (GPC, 2007)

Biological Sequence Data Preprocessing for Classification: A Case Study in Splice Site Identification. - A. K. M. A. Baten; Saman K. Halgamuge; Bill C. H. Chang; Nalin Wickramarachchi (ISNN (2), 2007)

Driver Fatigue Detection by Fusing Multiple Cues. - Rajinda Senaratne; David Hardy; Bill Vanderaa; Saman K. Halgamuge (ISNN (2), 2007)

Combining News and Technical Indicators in Daily Stock Price Trends Prediction. - Yu Zheng Zhai; Arthur L. Hsu; Saman K. Halgamuge (ISNN (3), 2007)

Correction: Splice site identification using probabilistic parameters and SVM classification. - A. K. M. A. Baten; Bill C. H. Chang; Saman K. Halgamuge; Jason Li 002 (BMC Bioinform., 2007)

Gene function prediction based on genomic context clustering and discriminative learning: an application to bacteriophages. - Jason Li 002; Saman K. Halgamuge; Christopher I. Kells; Sen-Lin Tang (BMC Bioinform., 2007)

Gabor wavelet similarity maps for optimising hierarchical road sign classifiers. - Alan Koncar; Holger Janßen; Saman K. Halgamuge (Pattern Recognit. Lett., 2007)

Support Vector Machine Integrated CCA for Classification of Complex Chemical Patterns. - Xiaofeng Song; Saman K. Halgamuge; De-zhao Chen; Shang-Xu Hu (FGCN (3: BSBT), 2008)

Information Theoretic Classification of Problems for Metaheuristics. - Kent C. B. Steer; Andrew Wirth; Saman K. Halgamuge (SEAL, 2008)

Fast splice site detection using information content and feature reduction. - A. K. M. A. Baten; Saman K. Halgamuge; Bill C. H. Chang (BMC Bioinform., 2008)

Binning sequences using very sparse labels within a metagenome. - Chon-Kit Kenneth Chan; Arthur L. Hsu; Saman K. Halgamuge; Sen-Lin Tang (BMC Bioinform., 2008)

Class structure visualization with semi-supervised growing self-organizing maps. - Arthur L. Hsu; Saman K. Halgamuge (Neurocomputing, 2008)

Polynomial kernel adaptation and extensions to the SVM classifier learning. - Ramy Saad; Saman K. Halgamuge; Jason Li 002 (Neural Comput. Appl., 2008)

Sensitivity-Based Hierarchical Controller Architectures for Active Suspension. - Waratt Rattasiri; Nalin Wickramarachchi; Saman K. Halgamuge (IEEE Trans. Control. Syst. Technol., 2008)

Energy Adaptive Sensor Scheduling for Noisy Sensor Measurements. - Suhinthan Maheswararajah; Siddeswara Mayura Guru; Yanfeng Shu; Saman K. Halgamuge (DCOSS, 2009)

Investigation of Average Mutual Information for Species Separation Using GSOM. - Chon-Kit Kenneth Chan; Saman K. Halgamuge (FGIT, 2009)

Face Recognition by Extending Elastic Bunch Graph Matching with Particle Swarm Optimization. - Rajinda Senaratne; Saman K. Halgamuge; Arthur L. Hsu (J. Multim., 2009)

Structure adaptation of hierarchical knowledge-based classifiers. - Waratt Rattasiri; Saman K. Halgamuge; Nalin Wickramarachchi (Neural Comput. Appl., 2009)

Energy Efficient Sensor Scheduling with a Mobile Sink Node for the Target Tracking Application. - Suhinthan Maheswararajah; Saman K. Halgamuge; Malin Premaratne (Sensors, 2009)

Sensor Scheduling for Target Tracking by Suboptimal Algorithms. - Suhinthan Maheswararajah; Saman K. Halgamuge; Malin Premaratne (IEEE Trans. Veh. Technol., 2009)

Dynamic Self-Organising Maps: Theory, Methods and Applications. - Arthur L. Hsu; Isaam Saeed; Saman K. Halgamuge (Foundations of Computational Intelligence (1), 2009)

The Rationale Behind Seeking Inspiration from Nature. - Kent C. B. Steer; Andrew Wirth; Saman K. Halgamuge (Nature-Inspired Algorithms for Optimisation, 2009)

Simplifying the Bacteria Foraging Optimization Algorithm. - Mario A. Muñoz; Saman K. Halgamuge; Wilfredo Alfonso; Eduardo Caicedo (IEEE Congress on Evolutionary Computation, 2010)

An Online Power-Balancing Strategy for a Parallel Hybrid Electric Vehicle Assisted by an Integrated Starter Generator. - Sunil Adhikari; Saman K. Halgamuge; Harry C. Watson (IEEE Trans. Veh. Technol., 2010)

Comparing two video-based techniques for driver fatigue detection: classification versus optical flow approach. - Rajinda Senaratne; Budi Thomas Jap; Sara Lal; Arthur L. Hsu; Saman K. Halgamuge; Peter Fischer 003 (Mach. Vis. Appl., 2011)

Management of Orphaned-Nodes in Wireless Sensor Networks for Smart Irrigation Systems. - Suhinthan Maheswararajah; Saman K. Halgamuge; K. B. Dassanayake; D. Chapman (IEEE Trans. Signal Process., 2011)

Landscape characterization of numerical optimization problems using biased scattered data. - Mario A. Muñoz; Michael Kirley; Saman K. Halgamuge (IEEE Congress on Evolutionary Computation, 2012)

Fast shortest path optimization inspired by shuttle streaming of Physarum polycephalum. - Jayantha Siriwardana; Saman K. Halgamuge (IEEE Congress on Evolutionary Computation, 2012)

A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems. - Mario A. Muñoz; Michael Kirley; Saman K. Halgamuge (PPSN (1), 2012)

CONTRA: copy number analysis for targeted resequencing. - Jason Li 002; 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 (Bioinform., 2012)

CoNVEX: copy number variation estimation in exome sequencing data using HMM. - Kaushalya C. Amarasinghe; Jason Li 002; Saman K. Halgamuge (BMC Bioinform., 2013)

Correction: CoNVEX: copy number variation estimation in exome sequencing data using HMM. - Kaushalya C. Amarasinghe; Jason Li 002; Saman K. Halgamuge (BMC Bioinform., 2013)

Event Triggered Adaptive Differential Modulation: A New Method for Traffic Reduction in Networked Control Systems. - Upeka Premaratne; Saman K. Halgamuge; Iven M. Y. Mareels (IEEE Trans. Autom. Control., 2013)

Generalized Modeling of Multilink Cable-Driven Manipulators With Arbitrary Routing Using the Cable-Routing Matrix. - Darwin Lau; Denny Oetomo; Saman K. Halgamuge (IEEE Trans. Robotics, 2013)

The effects of an ankle foot orthosis on cerebral palsy gait: A multiple regression analysis. - Ferdous Wahid; Rezaul K. Begg; Morgan Sangeux; Saman K. Halgamuge; David C. Ackland (EMBC, 2015)

Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions. - Yuan Sun 003; Michael Kirley; Saman Kumara Halgamuge (GECCO, 2015)

On the Selection of Decomposition Methods for Large Scale Fully Non-separable Problems. - Yuan Sun 003; Michael Kirley; Saman Kumara Halgamuge (GECCO (Companion), 2015)

ViQuaS: an improved reconstruction pipeline for viral quasispecies spectra generated by next-generation sequencing. - Duleepa Jayasundara; Isaam Saeed; Suhinthan Maheswararajah; Bill C. Chang; Sen-Lin Tang; Saman K. Halgamuge (Bioinform., 2015)

EXIMS: an improved data analysis pipeline based on a new peak picking method for EXploring Imaging Mass Spectrometry data. - Chalini D. Wijetunge; Isaam Saeed; Berin A. Boughton; Jeffrey M. Spraggins; Richard M. Caprioli; Antony Bacic; Ute Roessner; Saman K. Halgamuge (Bioinform., 2015)

Algorithm selection for black-box continuous optimization problems: A survey on methods and challenges. - Mario A. Muñoz; Yuan Sun 003; Michael Kirley; Saman K. Halgamuge (Inf. Sci., 2015)

Exploratory Landscape Analysis of Continuous Space Optimization Problems Using Information Content. - Mario A. Muñoz; Michael Kirley; Saman K. Halgamuge (IEEE Trans. Evol. Comput., 2015)

Classification of Parkinson's Disease Gait Using Spatial-Temporal Gait Features. - Ferdous Wahid; Rezaul K. Begg; Chris J. Hass; Saman K. Halgamuge; David C. Ackland (IEEE J. Biomed. Health Informatics, 2015)

Inverse Dynamics of Multilink Cable-Driven Manipulators With the Consideration of Joint Interaction Forces and Moments. - Darwin Lau; Denny Oetomo; Saman K. Halgamuge (IEEE Trans. Robotics, 2015)

Accurate reconstruction of viral quasispecies spectra through improved estimation of strain richness. - Duleepa Jayasundara; Isaam Saeed; Bc Chang; Sen-Lin Tang; Saman K. Halgamuge (BMC Bioinform., 2015)

Fast algorithms inspired by Physarum polycephalum for node weighted steiner tree problem with multiple terminals. - Yahui Sun 001; Saman K. Halgamuge (CEC, 2016)

Use of local field potentials of dissociated cultures grown on multi-electrode arrays for pharmacological assays. - G. Dulini C. Mendis; Emma Morrisroe; Christopher A. Reid; Saman K. Halgamuge; Steven Petrou (EMBC, 2016)

Integrating Data-Driven Forecasting and Optimization to Improve the Operation of Distributed Energy Storage. - Khalid Abdulla; Kent C. B. Steer; Andrew Wirth; Julian de Hoog; Saman K. Halgamuge (HPCC/SmartCity/DSS, 2016)

A physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioning. - Yahui Sun 001; Pathima Nusrath Hameed; Karin Verspoor; Saman K. Halgamuge (BMC Syst. Biol., 2016)

A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization. - Yuan Sun 003; Michael Kirley; Saman K. Halgamuge (ACALCI, 2017)

Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes. - Pathima Nusrath Hameed; Karin Verspoor; Snezana Kusljic; Saman K. Halgamuge (BMC Bioinform., 2017)

CoMet: a workflow using contig coverage and composition for binning a metagenomic sample with high precision. - Damayanthi Herath; Sen-Lin Tang; Kshitij Tandon; David C. Ackland; Saman Kumara Halgamuge (BMC Bioinform., 2017)

The node-weighted Steiner tree approach to identify elements of cancer-related signaling pathways. - Yahui Sun 001; Chenkai Ma; Saman K. Halgamuge (BMC Bioinform., 2017)

Traffic Reduction in Packet Switched Networked Control Systems Using Deadband Error Modulation. - Upeka Premaratne; Saman K. Halgamuge; Iven M. Y. Mareels (IEEE Trans. Autom. Control., 2017)

Quantifying Variable Interactions in Continuous Optimization Problems. - Yuan Sun 003; Michael Kirley; Saman K. Halgamuge (IEEE Trans. Evol. Comput., 2017)

A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration. - Pathima Nusrath Hameed; Karin Verspoor; Snezana Kusljic; Saman K. Halgamuge (BMC Bioinform., 2018)

A Recursive Decomposition Method for Large Scale Continuous Optimization. - Yuan Sun 003; Michael Kirley; Saman K. Halgamuge (IEEE Trans. Evol. Comput., 2018)

Assessment of Gait Characteristics in Total Knee Arthroplasty Patients Using a Hierarchical Partial Least Squares Method. - Wei Wang 133; David C. Ackland; Jodie A. McClelland; Kate E. Webster; Saman K. Halgamuge (IEEE J. Biomed. Health Informatics, 2018)

Optimal Operation of Energy Storage Systems Considering Forecasts and Battery Degradation. - Khalid Abdulla; Julian de Hoog; Valentin Müenzel; Frank Suits; Kent Charles Barton Steer; Andrew Wirth; Saman K. Halgamuge (IEEE Trans. Smart Grid, 2018)

Similarity of Continuous Optimization Problems from the Algorithm Performance Perspective. - Yong-Wei Zhang; Saman K. Halgamuge (CEC, 2019)

Experimental Platform for Measuring the Impacts of Different Charging Strategies on Battery Degradation. - Ying Ying Beh; David Ripper; Shyam Shiv Kumar; Hou Nam U; Hansani Weeratunge; Guillermo Narsilio; Saman K. Halgamuge; Julian de Hoog; Ramachandra Rao Kolluri (e-Energy, 2019)

Exploring Computational Inference of Microbial Interactions and their Dynamics. - Rajith Vidanaarachchi; Marnie E. Shaw; Saman K. Halgamuge (ICIIS, 2019)

Improving MMD-GAN Training with Repulsive Loss Function. - Wei Wang 133; Yuan Sun 005; Saman K. Halgamuge (ICLR (Poster), 2019)

Minimum-Cost Heterogeneous Node Placement in Wireless Sensor Networks. - Yahui Sun 001; Saman K. Halgamuge (IEEE Access, 2019)

ENVirT: inference of ecological characteristics of viruses from metagenomic data. - Duleepa Jayasundara; Damayanthi Herath; Damith A. Senanayake; Isaam Saeed; Cheng-Yu Yang; Yuan Sun 003; Bill C. Chang; Sen-Lin Tang; Saman K. Halgamuge (BMC Bioinform., 2019)

The Fast Heuristic Algorithms and Post-Processing Techniques to Design Large and Low-Cost Communication Networks. - Yahui Sun 001; Marcus Brazil; Doreen A. Thomas; Saman K. Halgamuge (IEEE/ACM Trans. Netw., 2019)

A Decentralized Electric Vehicle Charge Scheduling Scheme for Tracking Power Profiles. - Nanduni I. Nimalsiri; David Smith 001; Elizabeth L. Ratnam; Chathurika P. Mediwaththe; Saman K. Halgamuge (ISGT, 2020)

An Incentive-compatible Energy Trading Framework for Neighborhood Area Networks with Shared Energy Storage. - Chathurika P. Mediwaththe; Marnie E. Shaw; Saman K. Halgamuge; David B. Smith 001; Paul Scott 002 (CoRR, 2020)

Extremum Seeking Control With Sporadic Packet Transmission for Networked Control Systems. - Upeka Premaratne; Saman K. Halgamuge; Ying Tan 001; Iven M. Y. Mareels (IEEE Trans. Control. Netw. Syst., 2020)

Multiobjective Evolution of Fuzzy Rough Neural Network via Distributed Parallelism for Stock Prediction. - Bin Cao 005; Jianwei Zhao 001; Zhihan Lv; Yu Gu 018; Peng Yang 015; Saman K. Halgamuge (IEEE Trans. Fuzzy Syst., 2020)

A Survey of Algorithms for Distributed Charging Control of Electric Vehicles in Smart Grid. - Nanduni I. Nimalsiri; Chathurika P. Mediwaththe; Elizabeth L. Ratnam; Marnie E. Shaw; David B. Smith 001; Saman K. Halgamuge (IEEE Trans. Intell. Transp. Syst., 2020)

A Physarum-Inspired Algorithm for Minimum-Cost Relay Node Placement in Wireless Sensor Networks. - Yahui Sun 001; Daniel Rehfeldt; Marcus Brazil; Doreen A. Thomas; Saman K. Halgamuge (IEEE/ACM Trans. Netw., 2020)

Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data. - Tamasha Malepathirana; Damith A. Senanayake; Vini Gautam; Saman K. Halgamuge (CIBCB, 2021)

Finding Group Steiner Trees in Graphs with both Vertex and Edge Weights. - Yahui Sun 001; Xiaokui Xiao; Bin Cui 001; Saman K. Halgamuge; Theodoros Lappas; Jun Luo 001 (Proc. VLDB Endow., 2021)

Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization. - Damith A. Senanayake; Wei Wang 133; Shalin H. Naik; Saman K. Halgamuge (IEEE Trans. Neural Networks Learn. Syst., 2021)

QoE-Aware Traffic Aggregation Using Preference Logic for Edge Intelligence. - Pingping Tang; Yuning Dong; Yin Chen 001; Shiwen Mao; Saman K. Halgamuge (IEEE Trans. Wirel. Commun., 2021)

Dimensionality reduction for visualizing high-dimensional biological data. - Tamasha Malepathirana; Damith A. Senanayake; Rajith Vidanaarachchi; Vini Gautam; Saman K. Halgamuge (Biosyst., 2022)

Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications. - Nisal Ranasinghe; A. Ramanan; S. Fernando; Pathima Nusrath Hameed; Damayanthi Herath; Tamasha Malepathirana; Ponnuthurai N. Suganthan; M. Niranjan; Saman K. Halgamuge (CoRR, 2022)

Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Saman K. Halgamuge (Expert Syst. Appl., 2022)

Deep reinforcement learning for energy and time optimized scheduling of precedence-constrained tasks in edge-cloud computing environments. - Amanda Jayanetti; Saman K. Halgamuge; Rajkumar Buyya (Future Gener. Comput. Syst., 2022)

Coordinated Charge and Discharge Scheduling of Electric Vehicles for Load Curve Shaping. - Nanduni I. Nimalsiri; Elizabeth L. Ratnam; David B. Smith 001; Chathurika P. Mediwaththe; Saman K. Halgamuge (IEEE Trans. Intell. Transp. Syst., 2022)

The Achilles Heel of Artificial Intelligence. - Upeka Premaratne; Saman K. Halgamuge (ACIIDS (Companion), 2023)

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning. - Tamasha Malepathirana; Damith A. Senanayake; Saman K. Halgamuge (ICCV, 2023)

Undercover Deepfakes: Detecting Fake Segments in Videos. - Sanjay Saha; Rashindrie Perera; Sachith Seneviratne; Tamasha Malepathirana; Sanka Rasnayaka; Deshani Geethika; Terence Sim; Saman K. Halgamuge (ICCV (Workshops), 2023)

Designing higher value roads to preserve species at risk by optimally controlling traffic flow. - Nicholas Davey; Nicolas Langrené; Wen Chen; Jonathan R. Rhodes; Simon Dunstall; Saman K. Halgamuge (Ann. Oper. Res., 2023)

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations. - Nisal Ranasinghe; Damith A. Senanayake; Sachith Seneviratne; Malin Premaratne; Saman K. Halgamuge (AAAI, 2024)

When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. - Haihang Wu; Wei Wang 133; Tamasha Malepathirana; Damith A. Senanayake; Denny Oetomo; Saman K. Halgamuge (AAAI, 2024)

Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning. - Rashindrie Perera; Saman K. Halgamuge (CVPR, 2024)

Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Damith A. Senanayake; Saman K. Halgamuge (CoRR, 2024)

AniFaceDiff: High-Fidelity Face Reenactment via Facial Parametric Conditioned Diffusion Models. - Ken Chen; Sachith Seneviratne; Wei Wang 133; Dongting Hu; Sanjay Saha; Md. Tarek Hasan; Sanka Rasnayaka; Tamasha Malepathirana; Mingming Gong; Saman K. Halgamuge (CoRR, 2024)

A Deep Reinforcement Learning Approach for Cost Optimized Workflow Scheduling in Cloud Computing Environments. - Amanda Jayanetti; Saman K. Halgamuge; Rajkumar Buyya (CoRR, 2024)

Reinforcement Learning based Workflow Scheduling in Cloud and Edge Computing Environments: A Taxonomy, Review and Future Directions. - Amanda Jayanetti; Saman K. Halgamuge; Rajkumar Buyya (CoRR, 2024)

GINN-KAN: Interpretability pipelining with applications in Physics Informed Neural Networks. - Nisal Ranasinghe; Yu Xia; Sachith Seneviratne; Saman K. Halgamuge (CoRR, 2024)

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Saman K. Halgamuge (CoRR, 2024)

Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning. - Jayanie Bogahawatte; Sachith Seneviratne; Maneesha Perera; Saman K. Halgamuge (CoRR, 2024)

TT-MPD: Test Time Model Pruning and Distillation. - Haihang Wu; Wei Wang 133; Tamasha Malepathirana; Sachith Seneviratne; Denny Oetomo; Saman K. Halgamuge (CoRR, 2024)

A Distributed Coordination Approach for the Charge and Discharge of Electric Vehicles in Unbalanced Distribution Grids. - Nanduni I. Nimalsiri; Elizabeth L. Ratnam; David Smith 001; Chathurika P. Mediwaththe; Saman K. Halgamuge (IEEE Trans. Ind. Informatics, 2024)

Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers. - Amanda Jayanetti; Saman K. Halgamuge; Rajkumar Buyya (IEEE Trans. Parallel Distributed Syst., 2024)

Indigenous peoples and artificial intelligence: A systematic review and future directions. - Maneesha Perera; Rajith Vidanaarachchi; Sangeetha Chandrashekeran; Melissa Kennedy; Brendan Kennedy 002; Saman K. Halgamuge (Big Data Soc., 2025)

SphOR: A Representation Learning Perspective on Open-set Recognition for Identifying Unknown Classes in Deep Learning Models. - Nadarasar Bahavan; Sachith Seneviratne; Saman K. Halgamuge (CoRR, 2025)

Unmasking the Unknown: Facial Deepfake Detection in the Open-Set Paradigm. - Nadarasar Bahavan; Sanjay Saha; Ken Chen; Sachith Seneviratne; Sanka Rasnayaka; Saman K. Halgamuge (CoRR, 2025)

Arch-LLM: Taming LLMs for Neural Architecture Generation via Unsupervised Discrete Representation Learning. - Deshani Geethika Poddenige; Sachith Seneviratne; Damith A. Senanayake; Mahesan Niranjan; Ponnuthurai N. Suganthan; Saman K. Halgamuge (CoRR, 2025)

Graph-Eq: Discovering Mathematical Equations using Graph Generative Models. - Nisal Ranasinghe; Damith A. Senanayake; Saman K. Halgamuge (CoRR, 2025)

FRAME-C: A knowledge-augmented deep learning pipeline for classifying multi-electrode array electrophysiological signals. - Nisal Ranasinghe; Dzung Do-Ha; Simon Maksour; Tamasha Malepathirana; Sachith Seneviratne; Lezanne Ooi; Saman K. Halgamuge (CoRR, 2025)

AniFaceDiff: Animating stylized avatars via parametric conditioned diffusion models. - Ken Chen; Sachith Seneviratne; Wei Wang 133; Dongting Hu; Sanjay Saha; Md. Tarek Hasan; Sanka Rasnayaka; Tamasha Malepathirana; Mingming Gong; Saman K. Halgamuge (Pattern Recognit., 2026)