Mahesan Niranjan
Orcid: 0000-0001-7021-140XAffiliations:
- University of Southampton, UK
According to our database1,
Mahesan Niranjan
authored at least 156 papers
between 1987 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Bioinform., February, 2024
Non-negative Subspace Feature Representation for Few-shot Learning in Medical Imaging.
CoRR, 2024
Comput. Biol. Medicine, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
SliceFormer: Deep Dense Depth Estimation from a Single Indoor Omnidirectional Image Using a Slice-Based Transformer.
Proceedings of the International Conference on Electronics, Information, and Communication, 2024
2023
Causal Analysis of Physiological Sleep Data Using Granger Causality and Score-Based Structure Learning.
Sensors, December, 2023
Briefings Bioinform., September, 2023
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
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
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022
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
Proceedings of the 30th European Signal Processing Conference, 2022
2021
Proceedings of the 16th International Conference on Industrial and Information Systems, 2021
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
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
2019
A comparison of multitask and single task learning with artificial neural networks for yield curve forecasting.
Expert Syst. Appl., 2019
CoRR, 2019
Minimum description length as an objective function for non-negative matrix factorization.
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
Proceedings of the International Joint Conference on Neural Networks, 2019
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
Improved understanding of aqueous solubility modeling through topological data analysis.
J. Cheminformatics, 2018
2017
Neural Comput., 2017
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
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
Res. Comput. Sci., 2015
Prague Bull. Math. Linguistics, 2015
Int. J. Multim. Inf. Retr., 2015
Int. J. Comput. Linguistics Appl., 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
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
Proceedings of the VISAPP 2014, 2014
Proceedings of the ICPRAM 2014, 2014
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
Proceedings of the Australasian Language Technology Association Workshop, 2014
2013
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
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
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
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
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
Neural Comput., 2011
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation.
J. Mach. Learn. Res., 2011
2010
J. Signal Process. Syst., 2010
IEEE Trans. Signal Process., 2010
Estimating a State-Space Model from Point Process Observations: A Note on Convergence.
Neural Comput., 2010
Mach. Transl., 2010
Comput. Stat. Data Anal., 2010
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
Proceedings of the Pattern Recognition in Bioinformatics, 2009
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
Proceedings of the ACL 2009, 2009
2008
Enhancing Automatic Construction of Gene Subnetworks by Integrating Multiple Sources of Information.
J. Signal Process. Syst., 2008
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
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006
2004
Bioinform., 2004
2003
Proceedings of the NNSP 2003, 2003
2002
Speech Commun., 2002
2001
Extractive summarization of voicemail using lexical and prosodic feature subset selection.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001
2000
J. VLSI Signal Process., 2000
Neuro-computing versus linear statistical techniques applied to liver transplant monitoring: a comparative study.
IEEE Trans. Biomed. Eng., 2000
Neural Comput., 2000
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000
Proceedings of the IEEE International Conference on Acoustics, 2000
1999
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999
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
Pattern Recognit. Lett., 1998
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
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Proceedings of the British Machine Vision Conference 1998, 1998
1997
IEEE Signal Process. Mag., 1997
Neural Comput., 1997
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
1996
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
Neural Process. Lett., 1995
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995
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
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994
1993
Neural Comput., 1993
1992
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
1991
Proceedings of the 1991 International Conference on Acoustics, 1991
Proceedings of the 1991 International Conference on Acoustics, 1991
1990
IEEE Trans. Neural Networks, 1990
Proceedings of the Advances in Neural Information Processing Systems 3, 1990
Proceedings of the 1990 International Conference on Acoustics, 1990
Proceedings of the Neural Networks, 1990
1989
Proceedings of the IEEE International Conference on Acoustics, 1989
1988
1987
Proceedings of the European Conference on Speech Technology, 1987