| 2024 | AAAI | 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 |
| 2024 | AAAI | When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks. | Haihang Wu, Wei Wang, Tamasha Malepathirana, Damith A. Senanayake, Denny Oetomo, Saman K. Halgamuge |
| 2024 | CVPR | Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning. | Rashindrie Perera, Saman K. Halgamuge |
| 2023 | ACIIDS | The Achilles Heel of Artificial Intelligence. | Upeka Premaratne, Saman K. Halgamuge |
| 2023 | ICCV | NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning. | Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge |
| 2021 | CIBCB | 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 |
| 2019 | CEC | Similarity of Continuous Optimization Problems from the Algorithm Performance Perspective. | Yong-Wei Zhang, Saman K. Halgamuge |
| 2019 | ICLR | Improving MMD-GAN Training with Repulsive Loss Function. | Wei Wang, Yuan Sun, Saman K. Halgamuge |
| 2016 | CEC | Fast algorithms inspired by Physarum polycephalum for node weighted steiner tree problem with multiple terminals. | Yahui Sun, Saman K. Halgamuge |
| 2016 | HPCC | 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 |
| 2012 | CEC | Landscape characterization of numerical optimization problems using biased scattered data. | Mario A. Muoz, Michael Kirley, Saman K. Halgamuge |
| 2012 | CEC | Fast shortest path optimization inspired by shuttle streaming of Physarum polycephalum. | Jayantha Siriwardana, Saman K. Halgamuge |
| 2012 | PPSN | A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems. | Mario A. Muoz, Michael Kirley, Saman K. Halgamuge |
| 2010 | CEC | Simplifying the Bacteria Foraging Optimization Algorithm. | Mario A. Muoz, Saman K. Halgamuge, Wilfredo Alfonso, Eduardo Caicedo |
| 2009 | DCOSS | Energy Adaptive Sensor Scheduling for Noisy Sensor Measurements. | Suhinthan Maheswararajah, Siddeswara Mayura Guru, Yanfeng Shu, Saman K. Halgamuge |
| 2007 | GPC | Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks. | Siddeswara Mayura Guru, Matthias Steinbrecher, Saman K. Halgamuge, Rudolf Kruse |
| 2007 | ISNN | 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 |
| 2007 | ISNN | Driver Fatigue Detection by Fusing Multiple Cues. | Rajinda Senaratne, David Hardy, Bill Vanderaa, Saman K. Halgamuge |
| 2007 | ISNN | Combining News and Technical Indicators in Daily Stock Price Trends Prediction. | Yu Zheng Zhai, Arthur L. Hsu, Saman K. Halgamuge |
| 2006 | AINA | Optimized Sink node Path using Particle Swarm Optimization. | Champake Mendis, Siddeswara Mayura Guru, Saman K. Halgamuge, Saman Fernando |
| 2006 | ICONIP | Semi-supervised Learning of Dynamic Self-Organising Maps. | Arthur L. Hsu, Saman K. Halgamuge |
| 2006 | ICONIP | Manufacturing Yield Improvement by Clustering. | Azharul Karim, Saman K. Halgamuge, A. J. R. Smith, Arthur L. Hsu |
| 2006 | ICONIP | Scalable Dynamic Self-Organising Maps for Mining Massive Textual Data. | Yu Zheng Zhai, Arthur L. Hsu, Saman K. Halgamuge |
| 2006 | VTC | Sensor Scheduling For Target Tracking Using Particle Swarm Optimization. | Suhinthan Maheswararajah, Saman K. Halgamuge |
| 2003 | CEC | A comparison of constraint-handling methods for the application of particle swarm optimization to constrained nonlinear optimization problems. | G. Coath, Saman K. Halgamuge |
| 2003 | CEC | Optimisation of valve timing events of internal combustion engines with particle swarm optimisation. | Asanga Ratnaweera, Harry C. Watson, Saman K. Halgamuge |
| 2003 | HIS | Development of Hybrid Interface for Intelligent Sensor Management. | Kenneth Chan, N. Kansara, M. Mirbagheri, Siddeswara Mayura Guru, Saman K. Halgamuge, Saman Fernando |
| 1999 | IJCNN | A self generating neural architecture for data analysis. | L. Damminda Alahakoon, Saman K. Halgamuge, B. Srinivasan |
| 1998 | ICONIP | A Structure Adapting Feature Map for Optimal Cluster Representation. | Damminda Alahakoon, Saman K. Halgamuge, Bala Srinivasan |
| 1998 | SMC | A self-growing cluster development approach to data mining. | Damminda Alahakoon, Saman K. Halgamuge, B. Srinivasan |
| 1997 | ICONIP | Rule Extraction in Real Time. | Saman K. Halgamuge |
| 1997 | ICONIP | Decision Support in Smart Wheelchairs. | Saman K. Halgamuge, L. Jain |
| 1995 | SAC | Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers. | Saman K. Halgamuge, Alain Brichard, Manfred Glesner |
| 1995 | SAC | A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems. | Saman K. Halgamuge, Christoph Grimm, Manfred Glesner |
| 1994 | SAC | Fuzzy neural fusion techniques for industrial applications. | Saman K. Halgamuge, Manfred Glesner |