| 2025 | CVPR | How does the Machine Perceive Depth for Indoor Single Images with CNN? | Yihong Wu, Yuwen Heng, Mahesan Niranjan, Hansung Kim |
| 2024 | ICIP | 3D Semantic Scene Completion From A Depth Map With Unsupervised Learning For Semantics Prioritisation. | Mona Alawadh, Mahesan Niranjan, Hansung Kim |
| 2024 | NAACL | Do Prompt Positions Really Matter? | Junyu Mao, Stuart E. Middleton, Mahesan Niranjan |
| 2023 | ICASSP | Depth Estimation for a Single Omnidirectional Image with Reversed-Gradient Warming-up Thresholds Discriminator. | Yihong Wu, Yuwen Heng, Mahesan Niranjan, Hansung Kim |
| 2023 | ICONIP | IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer. | Keqiang Fan, Xiaohao Cai, Mahesan Niranjan |
| 2022 | ICPR | Robust 3D rotation invariant local binary pattern for volumetric texture classification. | Shengyu Lu, Sasan Mahmoodi, Mahesan Niranjan |
| 2019 | ICASSP | Saliency Map on Cnns for Protein Secondary Structure Prediction. | Guillermo Romero Moreno, Mahesan Niranjan, Adam Prgel-Bennett |
| 2019 | IJCNN | Representation-dimensionality Trade-off in Biological Sequence-based Inference. | Bahman Asadi, Mahesan Niranjan |
| 2019 | IJCNN | Classification and Regression Analysis of Lung Tumors from Multi-level Gene Expression Data. | Pratheeba Jeyananthan, Mahesan Niranjan |
| 2017 | ICONIP | Robust Portfolio Risk Minimization Using the Graphical Lasso. | Tristan Millington, Mahesan Niranjan |
| 2017 | ICONIP | A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data. | Steven Squires, Rob M. Ewing, Adam Prgel-Bennett, Mahesan Niranjan |
| 2017 | ICONIP | Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data. | Steven Squires, Luis Montesdeoca, Adam Prgel-Bennett, Mahesan Niranjan |
| 2015 | CICLING | Statistical Machine Translation from and into Morphologically Rich and Low Resourced Languages. | Randil Pushpananda, Ruvan Weerasinghe, Mahesan Niranjan |
| 2015 | DSAA | MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer. | Avi Rosenfeld, David G. Graham, Rifat A. Hamoudi, Rommel Butawan, Victor Eneh, Saif Khan, Haroon Miah, Mahesan Niranjan, Laurence B. Lovat |
| 2014 | EMNLP | Large-scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression. | Abdullah Alrajeh, Mahesan Niranjan |
| 2014 | ICMV | Memory-efficient large-scale linear support vector machine. | Abdullah Alrajeh, Akiko Takeda, Mahesan Niranjan |
| 2014 | ICPRAM | An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation. | Chathurika Dharmagunawardhana, Sasan Mahmoodi, Michael J. Bennett, Mahesan Niranjan |
| 2013 | CVPR | Enriching Texture Analysis with Semantic Data. | Tim Matthews, Mark S. Nixon, Mahesan Niranjan |
| 2012 | BMVC | Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters. | Chathurika Dharmagunawardhana, Sasan Mahmoodi, Michael J. Bennett, Mahesan Niranjan |
| 2012 | ICMLA | Establishment of a Diagnostic Decision Support System in Genetic Dysmorphology. | Kaya Kuru, Mahesan Niranjan, Yusuf Tunca |
| 2009 | ACL | Handling phrase reorderings for machine translation. | Yizhao Ni, Craig Saunders, Sndor Szedmk, Mahesan Niranjan |
| 2009 | ICASSP | Modelling uncertainty in transcriptome measurements enhances network component analysis of yeast metabolic cycle. | C. Q. Chang, Y. S. Hung, Mahesan Niranjan |
| 2008 | EUROGP | Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering. | Yang Zhang, Hongyu Li, Mahesan Niranjan, Peter I. Rockett |
| 2006 | ICASSP | Outlier Detection in Benchmark Classification Tasks. | Hongyu Li, Mahesan Niranjan |
| 2006 | ICASSP | Automatic Face Recognition Using Stereo Images. | Anjali Bharatkumar Samani, Joab R. Winkler, Mahesan Niranjan |
| 2001 | Interspeech | Extractive summarization of voicemail using lexical and prosodic feature subset selection. | Konstantinos Koumpis, Steve Renals, Mahesan Niranjan |
| 2000 | ICASSP | Matched filter design for diphone subspace models. | Klaus Reinhard, Mahesan Niranjan |
| 2000 | Interspeech | Data-dependent kernels in svm classification of speech patterns. | Nathan Smith, Mahesan Niranjan |
| 1999 | ICASSP | Hybrid sequential Monte Carlo/Kalman methods to train neural networks in non-stationary environments. | Joo F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee |
| 1999 | ICASSP | Sequential Bayesian computation of logistic regression models. | Mahesan Niranjan |
| 1999 | ICASSP | Diphone multi-trajectory subspace models. | Klaus Reinhard, Mahesan Niranjan |
| 1999 | Interspeech | Diphone subspace models for phone-based HMM complementation. | Klaus Reinhard, Mahesan Niranjan |
| 1998 | BMVC | Realisable Classifiers: Improving Operating Performance on Variable Cost Problems. | Martin J. J. Scott, Mahesan Niranjan, Richard W. Prager |
| 1998 | ICASSP | Parametric subspace modelling of speech transitions. | Klaus Reinhard, Mahesan Niranjan |
| 1998 | ICASSP | Speech enhancement in a Bayesian framework. | Gaafar M. K. Saleh, Mahesan Niranjan |
| 1998 | ICASSP | Markov chain Monte Carlo methods for speech enhancement. | Jaco Vermaak, Mahesan Niranjan |
| 1998 | Interspeech | Global optimisation of neural network models via sequential sampling-importance resampling. | Joo F. G. de Freitas, Sue E. Johnson, Mahesan Niranjan, Andrew H. Gee |
| 1995 | ICASSP | Vocal tract modelling with recurrent neural networks. | T. L. Burrows, Mahesan Niranjan |
| 1995 | Interspeech | The use of maximum a posteriori parameters in linear prediction of speech. | Gaafar M. K. Saleh, Mahesan Niranjan, William J. Fitzgerald |
| 1994 | ICASSP | Recursive tracking of formants in speech signals. | Mahesan Niranjan, Ingemar J. Cox, Sunita L. Hingorani |
| 1994 | ICASSP | On the design of nonlinear speech predictors with recurrent nets. | Lizhong Wu, Mahesan Niranjan |
| 1992 | ICASSP | Models of dynamic complexity for time-series prediction (neural networks). | Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside |
| 1991 | ICASSP | Nonlinear adaptive filtering in nonstationary environments. | Visakan Kadirkamanathan, Mahesan Niranjan |
| 1991 | ICASSP | A nonlinear model for time series prediction and signal interpolation. | Mahesan Niranjan, Visakan Kadirkamanathan |
| 1990 | ICASSP | CELP coding with adaptive output-error model identification. | Mahesan Niranjan |
| 1989 | ICASSP | Temporal decomposition: a framework for enhanced speech recognition. | Mahesan Niranjan, Frank Fallside |
| 1987 | Interspeech | On modelling the dynamics of speech patterns. | Mahesan Niranjan, Frank Fallside |