Ramanan, Amirthalingam and Niranjan, Mahesan (2010) A One-pass Resource-Allocating Codebook for Patch-based Visual Object Recognition. IEEE Workshop on Machine Learning for Signal Processing, Kittilä, Finland. 28 - 31 Aug 2010.
Camargo, Renata and Niranjan, Mahesan (2008) Mining protein database using machine learning techniques. Journal of Integrative Bioinformatics, 5 (2), 1-10. (doi:10.1515/jib-2008-106).
Suwannaroj, Sujimarn and Niranjan, Mahesan (2008) Enhancing Automatic Construction of Gene Subnetworks by Integrating Multiple Sources of Information. Journal of Signal Processing Systems, 50 (3), 331-340.
Markovsky, Ivan and Niranjan, Mahesan (2010) Approximate low-rank factorization with structured factors. Computational Statistics and Data Analysis, 54, 3411-3420.
Milo, Marta, Cacciabue-Rivolta, Daniela, Kneebone, Adam, Van Doorninck, Hikke, Johnson, Claire, Lawoko-Kerali, Grace, Niranjan, Mahesan, Rivolta, Marcelo and Holley, Matthew (2009) Genomic Analysis of the Function of the Transcription Factor gata3 during Development of the Mammalian Inner Ear. PLoS ONE, 4 (9), e7144.
Tuna, Salih and Niranjan, Mahesan (2009) Classification with binary gene expressions. Journal of Biomedical Science and Engineering, 2 (6), 390-399.
Tuna, Salih and Niranjan, Mahesan (2009) Cross-Platform Analysis with Binarized Gene Expression Data. Pattern Recognition in Bioinformatics, Sheffield. pp. 439-449 .
Wieser, Daniela and Niranjan, Mahesan (2009) Remote homology detection using a kernel method that combines sequence and secondary-structure similarity scores. In Silico Biology, 9, 9.
Farran, Bassam, Ramanan, Amirthalingam and Niranjan, Mahesan (2009) Sequential Hierarchical Pattern Clustering. Pattern Recognition in Bioinformatics, Sheffield. pp. 79-88 .
Liu, Wei and Niranjan, Mahesan (2009) Matching Models to Data in Modelling Morphogen Diffusion. Machine Learning in Systems Biology, http://mlsb09.ijs.si/files/MLSB09-Proceedings.pdf#page=67.
Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2009) Structure learning for natural language processing. In 2009 IEEE International Workshop on Machine Learning for Signal Processing. IEEE. 6 pp . (doi:10.1109/MLSP.2009.5306193).
Xu, Weichao, Hung, Y.S., Niranjan, M. and Shen, M.F. (2010) Asymptotic mean and variance of Gini correlation for bivariate normal samples. IEEE Transactions on Signal Processing, 58 (2), 522-534. (doi:10.1109/TSP.2009.2032448).
Ni, Yizhao, Niranjan, Mahesan, Saunders, Craig and Szedmak, Sandor (2010) Distance phrase reordering for MOSES - User Manual and Code Guide s.n.
Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2009) Handling phrase reordering for machine translation. the joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint ConConference Processing, Singapore.
Tuna, Salih and Niranjan, Mahesan (2010) Reducing the algorithmic variability in transcriptome-based inference. Bioinformatics, 26 (9), 1185-1191.
Yuan, Ke and Niranjan, Mahesan (2010) Estimating a State-Space Model from Point Process Observations: A Note on Convergence. Neural Computation, 22 (8), 1993-2001.
Tuna, Salih and Niranjan, Mahesan (2010) Inference from Low Precision Transcriptome Data Representation. Journal of Signal Processing Systems, 50 (3), 267-279.
Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2010) The application of structured learning in natural language processing. Machine Translation.
Ramanan, Amirthalingam and Niranjan, Mahesan (2009) Resource-Allocating Codebook for Patch-based Face Recognition. Fourth International Conference on Industrial and Information Systems, Sri Lanka. pp. 28-31 .
Ramanan, Amirthalingam, Suppharangsan, Somjet and Niranjan, Mahesan (2007) Unbalanced Decision Trees for Multi-class Classification. IEEE - Second International Conference on Industrial and Information Systems, ICIIS 2007, Sri Lanka. 07 - 10 Aug 2007. pp. 291-294 .
Ni, Yizhao, Saunders, Craig, Szedmak, Sandor and Niranjan, Mahesan (2011) Exploitation of machine learning techniques in modelling phrase movements for machine translation. Journal of Machine Learning Research, 12, 1-30.
Zammit Mangion, Anderw, Yuan, Ke, Kadirkamanathan, Visakan, Niranjan, Mahesan and Sanguinetti, Guido (2011) Online variational inference for state-space models with point-process observations. Neural Computation, 23 (8), 1967-1999. (doi:10.1162/NECO_a_00156). (PMID:21521047)
Liu, Wei and Niranjan, Mahesan (2011) The Role of Regulated mRNA Stability in Establishing Bicoid Morphogen Gradient in Drosophila Embryonic Development. PLoS ONE, 6 (9), e24896.
Ramanan, Amirthalingam and Niranjan, Mahesan (2011) A Review of Codebook Models in Patch-Based Visual Object Recognition. JOURNAL OF SIGNAL PROCESSING SYSTEMS, DOI: 10.1007/s11265-011-0622-x.
Farran, Bassam, Saunders, Craig and Niranjan, Mahesan (2010) Machine Learning for Intrusion Detection: Modeling the Distribution Shift. IEEE Workshop on Machine Learning for Signal Processing, Kittilä, Finland. 28 - 31 Aug 2010.
Liu, Wei and Niranjan, Mahesan (2012) Gaussian process modelling for bicoid mRNA regulation in spatio-temporal Bicoid profile. Bioinformatics, 28 (3), 366-372. (doi:10.1093/bioinformatics/btr658).
Yuan, Ke, Girolami, Mark and Niranjan, Mahesan (2012) Markov chain Monte Carlo methods for state-space models with point process observations. Neural Computation, 24 (6), 1462-1486. (doi:10.1162/NECO_a_00281). (PMID:22364499)
Liu, Xin and Niranjan, Mahesan (2012) State and parameter estimation of the heat shock response system using Kalman and particle filters. Bioinformatics, 28 (11), 1501-1507. (doi:10.1093/bioinformatics/bts161). (PMID:22539674)
Preotiuc-Pietro, Daniel, Samangooei, Sina, Cohn, Trevor, Gibbins, Nicholas and Niranjan, Mahesan (2012) Trendminer: an architecture for real time analysis of social media text. 6th International AAAI Conference on Weblogs and Social Media (ICWSM-12), Dublin, Ireland. 04 - 06 Jun 2012. 5 pp .
Chen, Taihai, Mazomenos, Evangelos B., Maharatna, Koushik, Dasmahapatra, Srinandan and Mahesan, Niranjan (2012) On the trade-off of accuracy and computational complexity for classifying normal and abnormal ECG in remote CVD monitoring systems. IEEE Workshop on Signal Processing Systems, Quebec City, Canada. 16 - 18 Oct 2012. pp. 37-42 . (doi:10.1109/SiPS.2012.43).
Chen, Taihai, Mazomenos, Evangelos B., Maharatna, Koushik, Dasmahapatra, Srinandan and Niranjan, Mahesan (2013) Design of a low-power on-body ECG classifier for remote cardiovascular monitoring systems. IEEE Journal of Emerging and Selected Topics in Circuits and Systems, 3 (1), 75-85. (doi:10.1109/JETCAS.2013.2242772).
Takeda, Akiko, Niranjan, Mahesan, Gotoh, Jun-ya and Kawahara, Yoshinobu (2013) Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios. Computational Management Science, 10 (1), 21-49. (doi:10.1007/s10287-012-0158-y).
Hassan, A., Damper, R.I. and Niranjan, M. (2013) On acoustic emotion recognition: compensating for covariate shift. IEEE Transactions on Audio, Speech and Language Processing, 21 (7), 1458-1468. (doi:10.1109/TASL.2013.2255278).
Matthews, Tim, Nixon, Mark S. and Niranjan, Mahesan (2013) Enriching texture analysis with semantic data. IEEE Conference on Computer Vision and Pattern Recognition, Portland, United States. 24 - 26 Jun 2013.
Mundra, Piyushkumar A., Zheng, Jie, Niranjan, Mahesan, Welsch, Roy E. and Rajapakse, Jagath C. (2013) Inferring time-delayed gene regulatory networks using cross-correlation and sparse regression. Zhipeng, Cai, Eulenstein, Oliver, Janies, Daniel and Schwartz, Daniel (eds.) In Bioinformatics Research and Applications. vol. 7875, Springer Berlin Heidelberg. pp. 64-75 . (doi:10.1007/978-3-642-38036-5_10).
Samangooei, Sina, Hare, Jonathon, Dupplaw, David, Niranjan, Mahesan, Gibbins, Nicholas, Lewis, Paul H., Davies, Jamie, Jain, Neha and Preston, John (2013) Social Event Detection via sparse multi-modal feature selection and incremental density based clustering. MediaEval 2013 / Social Event Detection for Social Multimedia, Barcelona, Spain. (In Press)
Dharmagunawardhana, Chathurika, Mahmoodi, Sasan, Bennett, Michael and Niranjan, Mahesan (2014) Quantitative analysis of pulmonary emphysema using isotropic Gaussian Markov random fields. 9th International Conference on Computer Vision Theory and Applications, Lisbon, Portugal. 05 - 08 Jan 2014. pp. 44-53 .
Dharmagunawardhana, Chathurika, Mahmoodi, Sasan, Bennett, Michael and Niranjan, Mahesan (2014) An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation. 3rd International Conference on Pattern Recognition Applications and Methods, Angers, France. pp. 139-146 .
Alrajeh, Abdullah and Niranjan, Mahesan (2014) Bayesian reordering model with feature selection. ACL2014: The Ninth Workshop on Statistical Machine Translation, Baltimore, United States. 25 - 26 Jun 2014. pp. 477-485 .
Dharmagunawardhana, Chathurika, Mahmoodi, Sasan, Bennett, Michael and Niranjan, Mahesan (2014) Gaussian Markov random field based improved texture descriptor for image segmentation. Image and Vision Computing, 32 (11), 884-895. (doi:10.1016/j.imavis.2014.07.002).
Alrajeh, Abdullah and Niranjan, Mahesan (2014) Large-scale reordering model for statistical machine translation using dual multinomial logistic regression. Empirical Methods on Natural Language Processing 2014, Doha, Qatar. 24 - 29 Oct 2014.
Alrajeh, Abdullah, Takeda, Akiko and Niranjan, Mahesan (2014) Memory-efficient large-scale linear support vector machine. The 7th International Conference on Machine Vision, Milano, Italy. 19 - 21 Nov 2014.
Gunawardana, Yawwani and Niranjan, Mahesan (2013) Bridging the gap between transcriptome and proteome measurements identifies post-translationally regulated genes. Bioinformatics, 29 (23), 3060-3066. (doi:10.1093/bioinformatics/btt537). (PMID:24045772)
Alrajeh, Abdullah and Niranjan, Mahesan (2015) Scalable reordering models for SMT based on multiclass SVM. The Prague Bulletin of Mathematical Linguistics, 103 (1), 65-84. (doi:10.1515/pralin-2015-0004).
Gunawardana, Y., Fujiwara, S., Takeda, A., Woo, Jeongmin, Woelk, C.H. and Niranjan, Mahesan (2015) Outlier detection at the transcriptome-proteome interface. Bioinformatics, 31 (15), 2530-2536. (doi:10.1093/bioinformatics/btv182). (PMID:25819671)
Hare, Jonathon, Samangooei, Sina, Niranjan, Mahesan and Gibbins, Nicholas (2015) Detection of Social Events in Streams of Social Multimedia. International Journal of Multimedia Information Retrieval, 4 (4), 289-302. (doi:10.1007/s13735-015-0085-0).
Dharmagunaw, C., Mahmoodi, S., Bennett, M. and Niranjan, M. (2016) Rotation invariant texture descriptors based on Gaussian Markov random fields for classification. Pattern Recognition Letters, 69, 15-21. (doi:10.1016/j.patrec.2015.10.006).
Goehring, Tobias, Yang, Xin, Monaghan, Jessica, Wang, Shang, Niranjan, Mahesan and Bleeck, Stefan (2016) Speech enhancement based on artificial neural networks for hearing-impaired listeners using auditory inspired features. DGA-Jahrestagung German Society of Audiology, Hannover, Germany. 09 - 12 Mar 2016.
Chen, H., Guo, J., Mishra, S.K., Robson, P., Niranjan, M. and Zheng, J. (2015) Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development. Bioinformatics, 31 (7), 1060-1066. (doi:10.1093/bioinformatics/btu777).
Montesdeoca Bermudez, Luis and Niranjan, Mahesan (2016) Extending the feature set of a data-driven artificial neural network model of pricing financial option. 2016 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016), Athens, Greece. 06 - 09 Dec 2016. 6 pp .
Squires, Steven, Prugel-Bennett, Adam and Niranjan, Mahesan (2017) Rank selection in non-negative matrix factorization using minimum description Length. Neural Computation, 29 (8), 2164-2176. (doi:10.1162/NECO_a_00980).
Squires, Steven, Edward, Montesdeoca Bermudez, Luis, Jairo, Prugel-Bennett, Adam and Niranjan, Mahesan (2017) Non-negative matrix factorization with exogenous inputs for modeling financial data. In Lecture Notes in Computer Science. vol. 10635, Springer. pp. 873-881 . (doi:10.1007/978-3-319-70096-0_89).
Squires, Steven, Edward, Ewing, Robert, Prugel-Bennett, Adam and Niranjan, Mahesan (2017) A method of integrating spatial proteomics and protein-protein interaction network data. In Lecture Notes in Computer Science. Springer. 9 pp . (doi:10.1007/978-3-319-70139-4_79).
Millington, Tristan and Niranjan, Mahesan (2017) Robust portfolio risk minimization using the graphical lasso. 10 pp . (doi:10.1007/978-3-319-70096-0_88).
Marquez, Enrique, Salvador, Hare, Jonathon and Niranjan, Mahesan (2018) Deep cascade learning. IEEE Transactions on Neural Networks and Learning Systems, 29 (11), 5475-5485, [8307262]. (doi:10.1109/TNNLS.2018.2805098).
Atkins, Adam, Gerding, Enrico and Niranjan, Mahesan (2018) Financial news predicts stock market volatility better than close price. The Journal of Finance and Data Science. (doi:10.1016/j.jfds.2018.02.002).
Vidanagamachchi, Sugandima and Niranjan, Mahesan (2018) OPBI: an open pipeline for biomarker identification. In 2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017. vol. 2017-December, IEEE Computer Society. pp. 1510-1514 . (doi:10.1109/IEEM.2017.8290145).
Martinez-Nunez, Rocio, Teresa, Rupani, Hitasha, Platé, Manuela, Niranjan, Mahesan, Chambers, Rachel C., Howarth, Peter H. and Sanchez-Elsner, Tilman (2018) Genome-wide posttranscriptional dysregulation by microRNAs in human asthma as revealed by Frac-seq. The Journal of Immunology, 201 (1), 251-263. (doi:10.4049/jimmunol.1701798).
Nunes, Manuel, Clemente Mendonca, Gerding, Enrico, McGroarty, Frank and Niranjan, Mahesan (2018) Dataset for "A Comparison of Multitask and Single Task Learning with Artificial Neural Networks for Yield Curve Forecasting". University of Southampton doi:10.5258/SOTON/D0450 [Dataset]
Nunes, Manuel, Gerding, Enrico, McGroarty, Frank and Niranjan, Mahesan (2019) A comparison of multitask and single task learning with artificial neural networks for yield curve forecasting. Expert Systems with Applications, 119, 362-375. (doi:10.1016/j.eswa.2018.11.012).
Pirashvili, Mariam, Brodzki, Jacek, Belchi guillamon, Francisco, Niranjan, Mahesan, Frey, Jeremy G. and Steinberg, Lee (2018) Improved understanding of aqueous solubility modeling through topological data analysis. Journal of Cheminformatics, 10, [54]. (doi:10.1186/s13321-018-0308-5).
Romero Moreno, Guillermo, Niranjan, Mahesan and Prugel-Bennett, Adam (2019) Saliency map on Cnns for protein secondary structure prediction. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. pp. 1249-1253 . (doi:10.1109/ICASSP.2019.8683603).
Du, Xin, Farrahi, Katayoun and Niranjan, Mahesan (2019) Transfer learning across human activities using a cascade neural network architecture. In ISWC '19 Proceedings of the 23rd International Symposium on Wearable Computers. ACM. pp. 35-44 . (doi:10.1145/3341163.3347730).
Jeyananthan, Pratheeba and Niranjan, Mahesan (2019) Classification and regression analysis of lung tumors from multi-level gene expression data. In Classification and regression analysis of lung tumors from multi-level gene expression data. IEEE. pp. 1-8 . (doi:10.1109/IJCNN.2019.8852282).
Millington, Tristan and Niranjan, Mahesan (2019) Quantifying influence in financial markets via partial correlation network inference. In 2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA). IEEE.. (doi:10.1109/ISPA.2019.8868437).
Heinson, Ashley, Ewing, Robert, Holloway, John, Woelk, Christopher H. and Niranjan, Mahesan (2019) An evaluation of different classification algorithms for protein sequence-based reverse vaccinology prediction. PLoS ONE, 14 (12), [e0226256]. (doi:10.1371/journal.pone.0226256).
Brodzki, Jacek, Rahmani, Donya, Fay, Damien, Takeda, Akiko and Niranjan, Mahesan (2020) Estimation of Gaussian mixture models via tensor moments with application to online learning. Pattern Recognition Letters, 131, 285-292. (doi:10.1016/j.patrec.2020.01.001).
Millington, Tristan and Niranjan, Mahesan (2020) Partial correlation financial networks. Applied Network Science, 5 (1), 1-19, [11]. (doi:10.1007/s41109-020-0251-z).
Shetta, Omar and Niranjan, Mahesan (2020) Robust subspace methods for outlier detection in genomic data circumvents the curse of dimensionality. Royal Society Open Science, 7 (2), [190714]. (doi:10.1098/rsos.190714).
Lu, Ping, Wood, Robert, Grundy, Joanna, Harris, Nicholas, Harvey, Terry J., Niranjan, Mahesan, Powrie, Honor and Li, Linghan (2019) Monitoring the health of tribo-contacts. In ÖTG-Symposium 2019 professional conference proceeding. The Austrian Tribology Society..
Harris, Ethan William Albert, Niranjan, Mahesan and Hare, Jonathon (2019) Foveated convolutions: improving spatial transformer networks by modelling the retina. In Shared Visual Representations in Human and Machine Intelligence: 2019 NeurIPS Workshop. 8 pp .
Belchi Guillamon, Francisco, Brodzki, Jacek, Burfitt, Matthew and Niranjan, Mahesan (2020) A numerical measure of the instability of Mapper-type algorithms. Journal of Machine Learning Research, 21, 1-45, [202].
Nunes, Manuel Clemente Mendonca, Gerding, Enrico, McGroarty, Frank and Niranjan, Mahesan (2020) LSTM-LagLasso for bond yield forecasting: Peeping into the long short-term memory networks' black box. Workshop on Advancing Machine Learning in Finance, Insurance and Economics, Cass Business School and University of Glasgow, London, United Kingdom. 17 Jan 2020. (doi:10.13140/RG.2.2.10212.53129).
Nunes, Manuel Clemente Mendonca, Gerding, Enrico, McGroarty, Frank and Niranjan, Mahesan (2019) The memory advantage of long short-term memory networks for bond yield forecasting. International Conference on Forecasting Financial Markets, Venice, Italy, Ca' Foscari University of Venice, Venice, Italy. 19 - 21 Jun 2019. (In Press)
Stumpf, Patrick Simon, Du, Xin, Imanishi, Haruka, Kunisaki, Yuya, Semba, Yuichiro, Noble, Timothy, Smith, Rosanna, Rose-Zerilli, Matthew, West, Jonathan, Oreffo, Richard, Farrahi, Katayoun, Niranjan, Mahesan, Akashi, Koichi, Arai, Fumio and Macarthur, Benjamin (2020) Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing. Communications Biology, 3 (1), [736]. (doi:10.1038/s42003-020-01463-6).
Kanza, Samantha, Bird, Colin Leonard, Niranjan, Mahesan, Mcneill, William and Frey, Jeremy G. (2021) The AI for Scientific Discovery Network+. Patterns, 2 (1), [100162]. (doi:10.1016/j.patter.2020.100162).
Heinson, Ashley, Gunawardana, Yawwani P, Moesker, Bastiaan, Denman Hume, Carmen C., Vataga, Elena, Hall, Yper, Stylianou, Elena, Mcshane, Helen, Williams, Ann, Niranjan, Mahesan and Woelk, Christopher H. (2017) Enhancing the biological relevance of machine learning classifiers for reverse vaccinology. International Journal of Molecular Sciences, 18 (2). (doi:10.3390/ijms18020312).
Millington, Tristan and Niranjan, Mahesan (2020) Construction of minimum spanning trees from financial returns using rank correlation. Physica A: Statistical Mechanics and its Applications, 566, [125605]. (doi:10.1016/j.physa.2020.125605).
Millington, Tristan and Niranjan, Mahesan (2021) Stability and similarity in financial networks—how do they change in times of turbulence? Physica A: Statistical Mechanics and its Applications, 574, [126016].
Wu, Yihong, Heng, Yuwen, Niranjan, Mahesan and Kim, Hansung (2021) Depth estimation from a single omnidirectional image using domain adaptation. 18th ACM SIGGRAPH European Conference on Visual Media Production, CVMP 2021, , Virtual, Online, United Kingdom. 06 - 07 Dec 2021. 9 pp . (doi:10.1145/3485441.3485649).
Du, Xin, Farrahi, Katayoun and Niranjan, Mahesan (2021) Information bottleneck theory based exploration of cascade learning. Entropy, 23 (10), [1360]. (doi:10.3390/e23101360).
Shetta, Omar Essam, Niranjan, Mahesan and Dasmahapatra, Srinandan (2021) Convex multi-view clustering via robust low rank approximation with application to multi-omic data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. (doi:10.1109/TCBB.2021.3122961).