Mahesan Niranjan

Orcid: 0000-0001-7021-140X

Affiliations:
  • University of Southampton, UK


According to our database1, Mahesan Niranjan authored at least 150 papers between 1987 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Protein language models meet reduced amino acid alphabets.
Bioinform., February, 2024

2023
Causal Analysis of Physiological Sleep Data Using Granger Causality and Score-Based Structure Learning.
Sensors, December, 2023

Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes.
CoRR, 2023

Depth Insight - Contribution of Different Features to Indoor Single-image Depth Estimation.
CoRR, 2023

Few-shot Learning for Inference in Medical Imaging with Subspace Feature Representations.
CoRR, 2023

GO-LDA: Generalised Optimal Linear Discriminant Analysis.
CoRR, 2023

Prompt position really matters in few-shot and zero-shot NLU tasks.
CoRR, 2023

IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Depth Estimation for a Single Omnidirectional Image with Reversed-Gradient Warming-up Thresholds Discriminator.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Convex Multi-View Clustering Via Robust Low Rank Approximation With Application to Multi-Omic Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Robustness under parameter and problem domain alterations of Bayesian optimization methods for chemical reactions.
J. Cheminformatics, 2022

TransformerGO: predicting protein-protein interactions by modelling the attention between sets of gene ontology terms.
Bioinform., 2022

Flattening the Curve Through Reinforcement Learning Driven Test and Trace Policies.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

Deep Cascade Learning for Optimal Medical Image Feature Representation.
Proceedings of the Machine Learning for Healthcare Conference, 2022

Robust 3D rotation invariant local binary pattern for volumetric texture classification.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Room Acoustic Properties Estimation from a Single 360° Photo.
Proceedings of the 30th European Signal Processing Conference, 2022

2021
The AI for Scientific Discovery Network<sup>+</sup>.
Patterns, 2021

Information Bottleneck Theory Based Exploration of Cascade Learning.
Entropy, 2021

Automated gastrointestinal abnormalities detection from endoscopic images.
Proceedings of the 16th International Conference on Industrial and Information Systems, 2021

Depth Estimation from a Single Omnidirectional Image using Domain Adaptation.
Proceedings of the CVMP '21: European Conference on Visual Media Production, London, United Kingdom, December 6, 2021

2020
Estimation of Gaussian mixture models via tensor moments with application to online learning.
Pattern Recognit. Lett., 2020

A Numerical Measure of the Instability of Mapper-Type Algorithms.
J. Mach. Learn. Res., 2020

Construction of Minimum Spanning Trees from Financial Returns using Rank Correlation.
CoRR, 2020

Long short-term memory networks and laglasso for bond yield forecasting: Peeping inside the black box.
CoRR, 2020

Understanding and Enhancing Mixed Sample Data Augmentation.
CoRR, 2020

Partial correlation financial networks.
Appl. Netw. Sci., 2020

2019
A comparison of multitask and single task learning with artificial neural networks for yield curve forecasting.
Expert Syst. Appl., 2019

A Variational Autoencoder for Probabilistic Non-Negative Matrix Factorisation.
CoRR, 2019

Minimum description length as an objective function for non-negative matrix factorization.
CoRR, 2019

A Biologically Inspired Visual Working Memory for Deep Networks.
CoRR, 2019

Uncovering extensive post-translation regulation during human cell cycle progression by integrative multi-'omics analysis.
BMC Bioinform., 2019

On Comparing the Influences of Exogenous Information on Bitcoin Prices and Stock Index Values.
Proceedings of the 1st International Conference on Mathematical Research for Blockchain Economy, 2019

Variational Autoencoder for Non-Negative Matrix Factorization with Exogenous Inputs Applied to Financial Data Modelling.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Quantifying Influence in Financial Markets via Partial Correlation Network Inference.
Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Classification and Regression Analysis of Lung Tumors from Multi-level Gene Expression Data.
Proceedings of the International Joint Conference on Neural Networks, 2019

Representation-dimensionality Trade-off in Biological Sequence-based Inference.
Proceedings of the International Joint Conference on Neural Networks, 2019

Saliency Map on Cnns for Protein Secondary Structure Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2019

Transfer learning across human activities using a cascade neural network architecture.
Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019

2018
Deep Cascade Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Improved understanding of aqueous solubility modeling through topological data analysis.
J. Cheminformatics, 2018

2017
Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length.
Neural Comput., 2017

Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Portfolio Risk Minimization Using the Graphical Lasso.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Rotation invariant texture descriptors based on Gaussian Markov random fields for classification.
Pattern Recognit. Lett., 2016

Extending the feature set of a data-driven artificial neural network model of pricing financial options.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Defining the Gold Standard Definitions for the Morphology of Sinhala Words.
Res. Comput. Sci., 2015

Scalable Reordering Models for SMT based on Multiclass SVM.
Prague Bull. Math. Linguistics, 2015

Detection of social events in streams of social multimedia.
Int. J. Multim. Inf. Retr., 2015

Speaker Adaptation Applied to Sinhala Speech Recognition.
Int. J. Comput. Linguistics Appl., 2015

Outlier detection at the transcriptome-proteome interface.
Bioinform., 2015

Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development.
Bioinform., 2015

MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Statistical Machine Translation from and into Morphologically Rich and Low Resourced Languages.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014
Gaussian Markov random field based improved texture descriptor for image segmentation.
Image Vis. Comput., 2014

Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics.
Artif. Intell. Medicine, 2014

Bayesian Reordering Model with Feature Selection.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Quantitative Analysis of Pulmonary Emphysema using Isotropic Gaussian Markov Random Fields.
Proceedings of the VISAPP 2014, 2014

Texture Classification with Fisher Kernel Extracted from the Continuous Models of RBM.
Proceedings of the VISAPP 2014, 2014

Computational Models of Object Recognition - Goal, Role and Success.
Proceedings of the VISAPP 2014, 2014

An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation.
Proceedings of the ICPRAM 2014, 2014

Memory-efficient large-scale linear support vector machine.
Proceedings of the Seventh International Conference on Machine Vision, 2014

Large-scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Sinhala-Tamil Machine Translation: Towards better Translation Quality.
Proceedings of the Australasian Language Technology Association Workshop, 2014

2013
On Acoustic Emotion Recognition: Compensating for Covariate Shift.
IEEE Trans. Speech Audio Process., 2013

Design of a Low-Power On-Body ECG Classifier for Remote Cardiovascular Monitoring Systems.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2013

Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios.
Comput. Manag. Sci., 2013

Bridging the gap between transcriptome and proteome measurements identifies post-translationally regulated genes.
Bioinform., 2013

Compact codebook design for visual scene recognition by Sequential Input Space Carving.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Inducing discrimination in biologically inspired models of visual scene recognition.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Social Event Detection Via Sparse Multi-modal Feature Selection and Incremental Density Based Clustering.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression.
Proceedings of the Bioinformatics Research and Applications, 9th International Symposium, 2013

Enriching Texture Analysis with Semantic Data.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
A Review of Codebook Models in Patch-Based Visual Object Recognition.
J. Signal Process. Syst., 2012

Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations.
Neural Comput., 2012

State and parameter estimation of the heat shock response system using Kalman and particle filters.
Bioinform., 2012

Gaussian process modelling for <i>bicoid</i> mRNA regulation in spatio-temporal Bicoid profile.
Bioinform., 2012

On the Trade-Off of Accuracy and Computational Complexity for Classifying Normal and Abnormal ECG in Remote CVD Monitoring Systems.
Proceedings of the 2012 IEEE Workshop on Signal Processing Systems, 2012

Establishment of a Diagnostic Decision Support System in Genetic Dysmorphology.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters.
Proceedings of the British Machine Vision Conference, 2012

2011
Online Variational Inference for State-Space Models with Point-Process Observations.
Neural Comput., 2011

Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation.
J. Mach. Learn. Res., 2011

2010
Inference from Low Precision Transcriptome Data Representation.
J. Signal Process. Syst., 2010

Asymptotic mean and variance of Gini correlation for bivariate normal samples.
IEEE Trans. Signal Process., 2010

Estimating a State-Space Model from Point Process Observations: A Note on Convergence.
Neural Comput., 2010

The application of structured learning in natural language processing.
Mach. Transl., 2010

Approximate low-rank factorization with structured factors.
Comput. Stat. Data Anal., 2010

Reducing the algorithmic variability in transcriptome-based inference.
Bioinform., 2010

Exploiting Long-Range Dependencies in Protein <i>beta</i>-Sheet Secondary Structure Prediction.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

2009
Remote Homology Detection Using a Kernel Method that Combines Sequence and Secondary-Structure Similarity Scores.
Silico Biol., 2009

Cross-Platform Analysis with Binarized Gene Expression Data.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Sequential Hierarchical Pattern Clustering.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Modelling uncertainty in transcriptome measurements enhances network component analysis of yeast metabolic cycle.
Proceedings of the IEEE International Conference on Acoustics, 2009

Handling phrase reorderings for machine translation.
Proceedings of the ACL 2009, 2009

2008
Enhancing Automatic Construction of Gene Subnetworks by Integrating Multiple Sources of Information.
J. Signal Process. Syst., 2008

Mining Protein Database using Machine Learning Techniques.
J. Integr. Bioinform., 2008

Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering.
Proceedings of the Genetic Programming, 11th European Conference, 2008

2007
Prediction of Gene Expression in Embryonic Structures of <i>Drosophila melanogaster</i>.
PLoS Comput. Biol., 2007

2006
Automatic Face Recognition Using Stereo Images.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Outlier Detection in Benchmark Classification Tasks.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004
Reducing the variability in cDNA microarray image processing by Bayesian inference.
Bioinform., 2004

2003
Sequential Bayesian Decoding with a Population of Neurons.
Neural Comput., 2003

Subspaces of text discrimination with application to biological literature.
Proceedings of the NNSP 2003, 2003

Bayesian processing of microarray images.
Proceedings of the NNSP 2003, 2003

2002
Diphone subspace mixture trajectory models for HMM complementation.
Speech Commun., 2002

2001
Speech enhancement using a Bayesian evidence approach.
Comput. Speech Lang., 2001

Extractive summarization of voicemail using lexical and prosodic feature subset selection.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000
Dynamic Learning with the EM Algorithm for Neural Networks.
J. VLSI Signal Process., 2000

Neuro-computing versus linear statistical techniques applied to liver transplant monitoring: a comparative study.
IEEE Trans. Biomed. Eng., 2000

Sequential Monte Carlo Methods to Train Neural Network Models.
Neural Comput., 2000

Hierarchical Bayesian Models for Regularization in Sequential Learning.
Neural Comput., 2000

Data-dependent kernels in svm classification of speech patterns.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Matched filter design for diphone subspace models.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Parametric subspace modeling of speech transitions.
Speech Commun., 1999

Speech Modelling Using Subspace and EM Techniques.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Diphone subspace models for phone-based HMM complementation.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Diphone multi-trajectory subspace models.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Sequential Bayesian computation of logistic regression models.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Hybrid sequential Monte Carlo/Kalman methods to train neural networks in non-stationary environments.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Feature selection using expected attainable discrimination.
Pattern Recognit. Lett., 1998

Global Optimisation of Neural Network Models via Sequential Sampling.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Global optimisation of neural network models via sequential sampling-importance resampling.
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

Markov chain Monte Carlo methods for speech enhancement.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Speech enhancement in a Bayesian framework.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Parametric subspace modelling of speech transitions.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Realisable Classifiers: Improving Operating Performance on Variable Cost Problems.
Proceedings of the British Machine Vision Conference 1998, 1998

1997
Examples in Medical Applications.
IEEE Signal Process. Mag., 1997

The past, present, and future of neural networks for signal processing.
IEEE Signal Process. Mag., 1997

Average-Case Learning Curves for Radial Basis Function Networks.
Neural Comput., 1997

Regularisation in Sequential Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996
Pruning with Replacement on Limited Resource Allocating Networks by F-Projections.
Neural Comput., 1996

Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
On the statistical physics of radial basis function networks.
Neural Process. Lett., 1995

On the practical applicability of VC dimension bounds.
Neural Comput., 1995

The use of maximum a posteriori parameters in linear prediction of speech.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

Vocal tract modelling with recurrent neural networks.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Fully vector-quantized neural network-based code-excited nonlinear predictive speech coding.
IEEE Trans. Speech Audio Process., 1994

On the design of nonlinear speech predictors with recurrent nets.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Recursive tracking of formants in speech signals.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
A Function Estimation Approach to Sequential Learning with Neural Networks.
Neural Comput., 1993

1992
Models of dynamic complexity for time-series prediction (neural networks).
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
A nonlinear model for time series prediction and signal interpolation.
Proceedings of the 1991 International Conference on Acoustics, 1991

Nonlinear adaptive filtering in nonstationary environments.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
A theoretical investigation into the performance of the Hopfield model.
IEEE Trans. Neural Networks, 1990

Sequential Adaptation of Radial Basis Function Networks.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

CELP coding with adaptive output-error model identification.
Proceedings of the 1990 International Conference on Acoustics, 1990

Speech Feature Extraction Using Neural Networks.
Proceedings of the Neural Networks, 1990

1989
Temporal decomposition: a framework for enhanced speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
Book reviews.
Artif. Intell. Rev., 1988

1987
On modelling the dynamics of speech patterns.
Proceedings of the European Conference on Speech Technology, 1987


  Loading...